From 4ccd7cebdc84948e2a69fe7442f9cf594eefff8a Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 14 Oct 2024 14:30:15 -0400 Subject: [PATCH 001/106] illustrations --- app/assets/illustrations/book.svg | 14 ++++++++++++++ app/assets/illustrations/briefcase.svg | 10 ++++++++++ .../illustrations/goverment_building.svg | 14 ++++++++++++++ app/assets/illustrations/hand.svg | 11 +++++++++++ app/assets/illustrations/megaphone.svg | 17 +++++++++++++++++ app/assets/illustrations/microscope.svg | 19 +++++++++++++++++++ app/assets/illustrations/people.svg | 15 +++++++++++++++ app/assets/illustrations/piggy_bank.svg | 10 ++++++++++ app/assets/illustrations/puzzle_pieces.svg | 10 ++++++++++ 9 files changed, 120 insertions(+) create mode 100644 app/assets/illustrations/book.svg create mode 100644 app/assets/illustrations/briefcase.svg create mode 100644 app/assets/illustrations/goverment_building.svg create mode 100644 app/assets/illustrations/hand.svg create mode 100644 app/assets/illustrations/megaphone.svg create mode 100644 app/assets/illustrations/microscope.svg create mode 100644 app/assets/illustrations/people.svg create mode 100644 app/assets/illustrations/piggy_bank.svg create mode 100644 app/assets/illustrations/puzzle_pieces.svg diff --git a/app/assets/illustrations/book.svg b/app/assets/illustrations/book.svg new file mode 100644 index 00000000..b0ffe96c --- /dev/null +++ b/app/assets/illustrations/book.svg @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git a/app/assets/illustrations/briefcase.svg b/app/assets/illustrations/briefcase.svg new file mode 100644 index 00000000..2aae2808 --- /dev/null +++ b/app/assets/illustrations/briefcase.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/app/assets/illustrations/goverment_building.svg b/app/assets/illustrations/goverment_building.svg new file mode 100644 index 00000000..e0a61831 --- /dev/null +++ b/app/assets/illustrations/goverment_building.svg @@ -0,0 +1,14 @@ + + + + + + + + + + + + + + diff --git a/app/assets/illustrations/hand.svg b/app/assets/illustrations/hand.svg new file mode 100644 index 00000000..7d596127 --- /dev/null +++ b/app/assets/illustrations/hand.svg @@ -0,0 +1,11 @@ + + + + + + + + + + + diff --git a/app/assets/illustrations/megaphone.svg b/app/assets/illustrations/megaphone.svg new file mode 100644 index 00000000..961651d8 --- /dev/null +++ b/app/assets/illustrations/megaphone.svg @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + diff --git a/app/assets/illustrations/microscope.svg b/app/assets/illustrations/microscope.svg new file mode 100644 index 00000000..b5a9105b --- /dev/null +++ b/app/assets/illustrations/microscope.svg @@ -0,0 +1,19 @@ + + + + + + + + + + + + + + + + + + + diff --git a/app/assets/illustrations/people.svg b/app/assets/illustrations/people.svg new file mode 100644 index 00000000..0e40a4f3 --- /dev/null +++ b/app/assets/illustrations/people.svg @@ -0,0 +1,15 @@ + + + + + + + + + + + + + + + diff --git a/app/assets/illustrations/piggy_bank.svg b/app/assets/illustrations/piggy_bank.svg new file mode 100644 index 00000000..80956ee3 --- /dev/null +++ b/app/assets/illustrations/piggy_bank.svg @@ -0,0 +1,10 @@ + + + + + + + + + + diff --git a/app/assets/illustrations/puzzle_pieces.svg b/app/assets/illustrations/puzzle_pieces.svg new file mode 100644 index 00000000..2f9e6506 --- /dev/null +++ b/app/assets/illustrations/puzzle_pieces.svg @@ -0,0 +1,10 @@ + + + + + + + + + + From 2fe3f80073ce30b9ea00e69654e470b16ce00145 Mon Sep 17 00:00:00 2001 From: Myles Date: Mon, 14 Oct 2024 16:07:44 -0400 Subject: [PATCH 002/106] Main how can I help outline setup --- app/components/ButtonOrLink/index.tsx | 32 ++++++++++ app/components/Card/card.css | 55 ++++++++++++++++ app/components/Card/index.tsx | 43 +++++++++++++ app/components/CardSmall/cardsmall.css | 21 +++++++ app/components/CardSmall/index.tsx | 38 +++++++++++ app/components/HelpGrid/helpgrid.css | 11 ++++ app/components/HelpGrid/index.tsx | 62 ++++++++++++++++++ app/components/HowCanIHelp/Career.tsx | 73 ++++++++++++++++++++++ app/components/HowCanIHelp/Community.tsx | 10 +++ app/components/HowCanIHelp/Donate.tsx | 10 +++ app/components/HowCanIHelp/Grassroots.tsx | 10 +++ app/components/HowCanIHelp/Knowledge.tsx | 10 +++ app/components/HowCanIHelp/Volunteer.tsx | 10 +++ app/components/HowCanIHelp/career.css | 17 +++++ app/components/HowCanIHelp/community.css | 0 app/components/HowCanIHelp/donate.css | 0 app/components/HowCanIHelp/grassroots.css | 0 app/components/HowCanIHelp/howcanihelp.css | 5 ++ app/components/HowCanIHelp/index.tsx | 15 +++++ app/components/HowCanIHelp/knowledge.css | 0 app/components/HowCanIHelp/volunteer.css | 0 app/routes/howcanihelp.tsx | 25 ++++++++ app/routes/howcanihelppage.$.tsx | 26 ++++++++ 23 files changed, 473 insertions(+) create mode 100644 app/components/ButtonOrLink/index.tsx create mode 100644 app/components/Card/card.css create mode 100644 app/components/Card/index.tsx create mode 100644 app/components/CardSmall/cardsmall.css create mode 100644 app/components/CardSmall/index.tsx create mode 100644 app/components/HelpGrid/helpgrid.css create mode 100644 app/components/HelpGrid/index.tsx create mode 100644 app/components/HowCanIHelp/Career.tsx create mode 100644 app/components/HowCanIHelp/Community.tsx create mode 100644 app/components/HowCanIHelp/Donate.tsx create mode 100644 app/components/HowCanIHelp/Grassroots.tsx create mode 100644 app/components/HowCanIHelp/Knowledge.tsx create mode 100644 app/components/HowCanIHelp/Volunteer.tsx create mode 100644 app/components/HowCanIHelp/career.css create mode 100644 app/components/HowCanIHelp/community.css create mode 100644 app/components/HowCanIHelp/donate.css create mode 100644 app/components/HowCanIHelp/grassroots.css create mode 100644 app/components/HowCanIHelp/howcanihelp.css create mode 100644 app/components/HowCanIHelp/index.tsx create mode 100644 app/components/HowCanIHelp/knowledge.css create mode 100644 app/components/HowCanIHelp/volunteer.css create mode 100644 app/routes/howcanihelp.tsx create mode 100644 app/routes/howcanihelppage.$.tsx diff --git a/app/components/ButtonOrLink/index.tsx b/app/components/ButtonOrLink/index.tsx new file mode 100644 index 00000000..d00bd283 --- /dev/null +++ b/app/components/ButtonOrLink/index.tsx @@ -0,0 +1,32 @@ +import {ReactNode} from 'react' +import {Link} from '@remix-run/react' + +interface ButtonOrLinkProps { + commonContent: ReactNode + route?: string + onClick?: () => void + className?: string + disabled?: boolean +} + +export default function ButtonOrLink({ + commonContent, + route, + onClick, + className = '', + disabled = false, +}: ButtonOrLinkProps) { + if (onClick) { + return ( + + ) + } + + return ( + + {commonContent} + + ) +} diff --git a/app/components/Card/card.css b/app/components/Card/card.css new file mode 100644 index 00000000..a5af5c8d --- /dev/null +++ b/app/components/Card/card.css @@ -0,0 +1,55 @@ +.card { + height: 328px; + padding: var(--spacing-24); + display: flex; + background-color: var(--colors-cool-grey-100); + border-radius: var(--border-radius); + box-shadow: 0px var(--spacing-16) var(--spacing-40) rgba(175, 183, 194, 0.2); +} + +.card-content { + flex-grow: 1; + display: flex; + flex-direction: column; + padding: var(--spacing-32); +} + +.card-icon { + height: 100%; + background-color: var(--colors-teal-50); + display: flex; + align-items: center; + justify-content: center; + border-radius: var(--border-radius); + width: 30%; + flex-shrink: 0; +} + +.card-impact { + color: var(--colors-teal-500); + height: fit-content; + width: fit-content; + padding-left: 10px; + padding-top: 2px; + padding-bottom: 2px; + padding-right: 10px; + background-color: var(--colors-teal-50); + border-radius: var(--border-radius); +} + +@media (max-width: 780px) { + .card { + flex-direction: column; + height: auto; + } + + .card-icon { + width: 100%; + height: 120px; + margin-bottom: var(--spacing-24); + } + + .card-content { + padding: 0; + } +} diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx new file mode 100644 index 00000000..c043b5ea --- /dev/null +++ b/app/components/Card/index.tsx @@ -0,0 +1,43 @@ +import ButtonOrLink from '../ButtonOrLink' +import './card.css' + +interface CardProps { + title: string + description: string + impact: string + icon: string + route?: string + onClick?: () => void + className?: string +} + +export default function Card({ + title, + description, + impact, + icon, + route, + onClick, + className, +}: CardProps) { + className = `card bordered ${className}` + + const commonContent = ( + <> +
{icon}
+
+

{title}

+

{description}

+

{impact}

+
+ + ) + return ( + + ) +} diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css new file mode 100644 index 00000000..fcfd926c --- /dev/null +++ b/app/components/CardSmall/cardsmall.css @@ -0,0 +1,21 @@ +.card-small { + height: 328px; + padding: var(--spacing-24); + display: flex; + flex-direction: column; + background-color: var(--colors-cool-grey-100); + border-radius: var(--border-radius); + box-shadow: 0px var(--spacing-16) var(--spacing-40) rgba(175, 183, 194, 0.2); +} + +.card-small-icon { + width: 100%; + height: 128px; + margin-bottom: var(--spacing-24); + background-color: var(--colors-teal-50); + display: flex; + align-items: center; + justify-content: center; + border-radius: var(--border-radius); + flex-shrink: 0; +} diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx new file mode 100644 index 00000000..52a305fa --- /dev/null +++ b/app/components/CardSmall/index.tsx @@ -0,0 +1,38 @@ +import ButtonOrLink from '../ButtonOrLink' +import './cardsmall.css' + +interface CardSmallProps { + title: string + description: string + icon: string + route?: string + onClick?: () => void + className?: string +} + +export default function CardSmall({ + title, + description, + icon, + route, + onClick, + className, +}: CardSmallProps) { + className = `card-small bordered ${className}` + + const commonContent = ( + <> +
{icon}
+

{title}

+

{description}

+ + ) + return ( + + ) +} diff --git a/app/components/HelpGrid/helpgrid.css b/app/components/HelpGrid/helpgrid.css new file mode 100644 index 00000000..bedb78bb --- /dev/null +++ b/app/components/HelpGrid/helpgrid.css @@ -0,0 +1,11 @@ +.help-grid { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: var(--spacing-32); +} + +@media (max-width: 780px) { + .help-grid { + grid-template-columns: 1fr; + } +} diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx new file mode 100644 index 00000000..f0e81975 --- /dev/null +++ b/app/components/HelpGrid/index.tsx @@ -0,0 +1,62 @@ +import './helpgrid.css' +import Card from '../Card' + +const helpItems = [ + { + title: 'Start a career in AI Safety', + description: + 'For both technical and non-technical roles in AI alignment, governance, and field-building', + impact: 'Highest direct impact', + icon: 'briefcase', + route: '/howcanihelppage/career', + }, + { + title: 'Spread the word & grassroots activism', + description: 'For anyone—help us spread the word about this issue', + impact: 'Quickest & most accessible', + icon: 'megaphone', + route: '/howcanihelppage/grassroots', + }, + { + title: 'Donate', + description: + 'The AI safety field is constrained by funding—financial help is critical at this moment', + impact: 'Highest indirect impact', + icon: 'piggy-bank', + route: '/howcanihelppage/donate', + }, + { + title: 'Volunteer', + description: + 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are wanted', + impact: 'Best for partial commitment', + icon: 'hand-heart', + route: '/howcanihelppage/volunteer', + }, + { + title: 'Build your knowledge', + description: + 'Learning about AI safety equips you to effectively contribute to discussions and influence its development', + impact: 'Enables impact', + icon: 'book', + route: '/howcanihelppage/knowledge', + }, + { + title: 'Join a community', + description: + 'Joining a community is motivating, and will help guide your efforts to contribute and get involved', + impact: 'Enables impact', + icon: 'people', + route: '/howcanihelppage/community', + }, +] + +export default function HelpGrid() { + return ( +
+ {helpItems.map((item, index) => ( + + ))} +
+ ) +} diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx new file mode 100644 index 00000000..f34c3760 --- /dev/null +++ b/app/components/HowCanIHelp/Career.tsx @@ -0,0 +1,73 @@ +import CardSmall from '../CardSmall' +import './career.css' + +export default function Career() { + return ( +
+

Start a career

+

There are 3 major career paths in AI safety:

+
+ + + +
+ +

AI alignment research

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical challenge + of AI alignment through dedicated research, and then collaborate globally to carefully + deploy solutions. While experts believe alignment is solvable, it remains a complex + problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like OpenAI. +

+

+ *Note: Beware of the risk of joining "safety" teams, as this work often leaks to + non-safety parts of the organization which improves the AI technology itself—and so ends + up causing harm. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+ ) +} diff --git a/app/components/HowCanIHelp/Community.tsx b/app/components/HowCanIHelp/Community.tsx new file mode 100644 index 00000000..e6d31e5d --- /dev/null +++ b/app/components/HowCanIHelp/Community.tsx @@ -0,0 +1,10 @@ +import './community.css' + +export default function Community() { + return ( +
+

Join the community

+ {/* Add content for the Community page */} +
+ ) +} diff --git a/app/components/HowCanIHelp/Donate.tsx b/app/components/HowCanIHelp/Donate.tsx new file mode 100644 index 00000000..29e88302 --- /dev/null +++ b/app/components/HowCanIHelp/Donate.tsx @@ -0,0 +1,10 @@ +import './donate.css' + +export default function Donate() { + return ( +
+

Donate to AISafety.info

+ {/* Add content for the Donate page */} +
+ ) +} diff --git a/app/components/HowCanIHelp/Grassroots.tsx b/app/components/HowCanIHelp/Grassroots.tsx new file mode 100644 index 00000000..b15c34fb --- /dev/null +++ b/app/components/HowCanIHelp/Grassroots.tsx @@ -0,0 +1,10 @@ +import './grassroots.css' + +export default function Grassroots() { + return ( +
+

Help with grassroots AI Safety

+ {/* Add content for the Grassroots page */} +
+ ) +} diff --git a/app/components/HowCanIHelp/Knowledge.tsx b/app/components/HowCanIHelp/Knowledge.tsx new file mode 100644 index 00000000..fa5cfbce --- /dev/null +++ b/app/components/HowCanIHelp/Knowledge.tsx @@ -0,0 +1,10 @@ +import './knowledge.css' + +export default function Knowledge() { + return ( +
+

Share knowledge about AI Safety

+ {/* Add content for the Knowledge page */} +
+ ) +} diff --git a/app/components/HowCanIHelp/Volunteer.tsx b/app/components/HowCanIHelp/Volunteer.tsx new file mode 100644 index 00000000..3e390b8b --- /dev/null +++ b/app/components/HowCanIHelp/Volunteer.tsx @@ -0,0 +1,10 @@ +import './volunteer.css' + +export default function Volunteer() { + return ( +
+

Volunteer for AISafety.info

+ {/* Add content for the Volunteer page */} +
+ ) +} diff --git a/app/components/HowCanIHelp/career.css b/app/components/HowCanIHelp/career.css new file mode 100644 index 00000000..b1bdf1e2 --- /dev/null +++ b/app/components/HowCanIHelp/career.css @@ -0,0 +1,17 @@ +.paths-grid { + display: grid; + grid-template-columns: repeat(3, 1fr); + gap: var(--spacing-32); +} + +.section-grid { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: var(--spacing-32); +} + +@media (max-width: 780px) { + .paths-grid { + grid-template-columns: 1fr; + } +} diff --git a/app/components/HowCanIHelp/community.css b/app/components/HowCanIHelp/community.css new file mode 100644 index 00000000..e69de29b diff --git a/app/components/HowCanIHelp/donate.css b/app/components/HowCanIHelp/donate.css new file mode 100644 index 00000000..e69de29b diff --git a/app/components/HowCanIHelp/grassroots.css b/app/components/HowCanIHelp/grassroots.css new file mode 100644 index 00000000..e69de29b diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css new file mode 100644 index 00000000..bb6c0e63 --- /dev/null +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -0,0 +1,5 @@ +.howcanihelp-header { + display: flex; + align-items: start; + justify-content: start; +} diff --git a/app/components/HowCanIHelp/index.tsx b/app/components/HowCanIHelp/index.tsx new file mode 100644 index 00000000..37ac8404 --- /dev/null +++ b/app/components/HowCanIHelp/index.tsx @@ -0,0 +1,15 @@ +import Career from './Career' +import Grassroots from './Grassroots' +import Donate from './Donate' +import Volunteer from './Volunteer' +import Knowledge from './Knowledge' +import Community from './Community' + +export const howCanIHelpComponents = { + career: Career, + grassroots: Grassroots, + donate: Donate, + volunteer: Volunteer, + knowledge: Knowledge, + community: Community, +} diff --git a/app/components/HowCanIHelp/knowledge.css b/app/components/HowCanIHelp/knowledge.css new file mode 100644 index 00000000..e69de29b diff --git a/app/components/HowCanIHelp/volunteer.css b/app/components/HowCanIHelp/volunteer.css new file mode 100644 index 00000000..e69de29b diff --git a/app/routes/howcanihelp.tsx b/app/routes/howcanihelp.tsx new file mode 100644 index 00000000..43b358a5 --- /dev/null +++ b/app/routes/howcanihelp.tsx @@ -0,0 +1,25 @@ +import {useEffect} from 'react' +import Page from '~/components/Page' +import HelpGrid from '~/components/HelpGrid' +import '~/components/HowCanIHelp/howcanihelp.css' + +export default function HowCanIHelp() { + useEffect(() => { + document.title = 'How Can I Help? - AISafety.info' + }, []) + + return ( + +
+
+

How can I help with AI Safety?

+

+ The AI safety movement is still relatively new, and your actions could have significant + impact. Here's what you can do: +

+
+ +
+ + ) +} diff --git a/app/routes/howcanihelppage.$.tsx b/app/routes/howcanihelppage.$.tsx new file mode 100644 index 00000000..99628ece --- /dev/null +++ b/app/routes/howcanihelppage.$.tsx @@ -0,0 +1,26 @@ +import {useParams} from '@remix-run/react' +import {useEffect} from 'react' +import Page from '~/components/Page' +import {howCanIHelpComponents} from '~/components/HowCanIHelp' + +export default function HowCanIHelp() { + const {'*': subpage} = useParams() + const Component = howCanIHelpComponents[subpage as keyof typeof howCanIHelpComponents] + + useEffect(() => { + document.title = `How Can I Help: ${subpage} - AISafety.info` + }, [subpage]) + + if (!Component) { + return
Page not found
+ } + + return ( + +
+

How can I help with AI Safety?

+ +
+ + ) +} From 0b7a194e0bb4001733f465e5539dd8f38beaf1a8 Mon Sep 17 00:00:00 2001 From: Myles Date: Mon, 14 Oct 2024 19:05:54 -0400 Subject: [PATCH 003/106] Career page and how can I help components done --- app/assets/{illustrations => icons}/book.svg | 0 .../{illustrations => icons}/briefcase.svg | 0 .../goverment_building.svg | 0 app/assets/{illustrations => icons}/hand.svg | 0 .../{illustrations => icons}/megaphone.svg | 0 .../{illustrations => icons}/microscope.svg | 0 .../people_help_section.svg} | 0 .../{illustrations => icons}/piggy_bank.svg | 0 .../puzzle_pieces.svg | 0 app/components/Card/index.tsx | 7 +- app/components/CardSmall/cardsmall.css | 4 +- app/components/CardSmall/index.tsx | 13 +- app/components/DropDown/dropdown.css | 33 ++ app/components/DropDown/index.tsx | 26 + app/components/HelpGrid/index.tsx | 13 +- app/components/HowCanIHelp/Career.tsx | 492 ++++++++++++++++-- app/components/HowCanIHelp/career.css | 13 +- app/components/HowCanIHelp/howcanihelp.css | 5 +- app/components/LinkCard/index.tsx | 33 ++ app/components/LinkCard/linkcard.css | 34 ++ app/components/icons-generated/Book.tsx | 45 ++ app/components/icons-generated/Briefcase.tsx | 32 ++ .../icons-generated/GovermentBuilding.tsx | 45 ++ app/components/icons-generated/Hand.tsx | 42 ++ app/components/icons-generated/Megaphone.tsx | 62 +++ app/components/icons-generated/Microscope.tsx | 74 +++ .../icons-generated/PeopleHelpSection.tsx | 50 ++ app/components/icons-generated/PiggyBank.tsx | 29 ++ .../icons-generated/PuzzlePieces.tsx | 32 ++ app/components/icons-generated/index.ts | 9 + app/routes/howcanihelppage.$.tsx | 6 +- 31 files changed, 1034 insertions(+), 65 deletions(-) rename app/assets/{illustrations => icons}/book.svg (100%) rename app/assets/{illustrations => icons}/briefcase.svg (100%) rename app/assets/{illustrations => icons}/goverment_building.svg (100%) rename app/assets/{illustrations => icons}/hand.svg (100%) rename app/assets/{illustrations => icons}/megaphone.svg (100%) rename app/assets/{illustrations => icons}/microscope.svg (100%) rename app/assets/{illustrations/people.svg => icons/people_help_section.svg} (100%) rename app/assets/{illustrations => icons}/piggy_bank.svg (100%) rename app/assets/{illustrations => icons}/puzzle_pieces.svg (100%) create mode 100644 app/components/DropDown/dropdown.css create mode 100644 app/components/DropDown/index.tsx create mode 100644 app/components/LinkCard/index.tsx create mode 100644 app/components/LinkCard/linkcard.css create mode 100644 app/components/icons-generated/Book.tsx create mode 100644 app/components/icons-generated/Briefcase.tsx create mode 100644 app/components/icons-generated/GovermentBuilding.tsx create mode 100644 app/components/icons-generated/Hand.tsx create mode 100644 app/components/icons-generated/Megaphone.tsx create mode 100644 app/components/icons-generated/Microscope.tsx create mode 100644 app/components/icons-generated/PeopleHelpSection.tsx create mode 100644 app/components/icons-generated/PiggyBank.tsx create mode 100644 app/components/icons-generated/PuzzlePieces.tsx diff --git a/app/assets/illustrations/book.svg b/app/assets/icons/book.svg similarity index 100% rename from app/assets/illustrations/book.svg rename to app/assets/icons/book.svg diff --git a/app/assets/illustrations/briefcase.svg b/app/assets/icons/briefcase.svg similarity index 100% rename from app/assets/illustrations/briefcase.svg rename to app/assets/icons/briefcase.svg diff --git a/app/assets/illustrations/goverment_building.svg b/app/assets/icons/goverment_building.svg similarity index 100% rename from app/assets/illustrations/goverment_building.svg rename to app/assets/icons/goverment_building.svg diff --git a/app/assets/illustrations/hand.svg b/app/assets/icons/hand.svg similarity index 100% rename from app/assets/illustrations/hand.svg rename to app/assets/icons/hand.svg diff --git a/app/assets/illustrations/megaphone.svg b/app/assets/icons/megaphone.svg similarity index 100% rename from app/assets/illustrations/megaphone.svg rename to app/assets/icons/megaphone.svg diff --git a/app/assets/illustrations/microscope.svg b/app/assets/icons/microscope.svg similarity index 100% rename from app/assets/illustrations/microscope.svg rename to app/assets/icons/microscope.svg diff --git a/app/assets/illustrations/people.svg b/app/assets/icons/people_help_section.svg similarity index 100% rename from app/assets/illustrations/people.svg rename to app/assets/icons/people_help_section.svg diff --git a/app/assets/illustrations/piggy_bank.svg b/app/assets/icons/piggy_bank.svg similarity index 100% rename from app/assets/illustrations/piggy_bank.svg rename to app/assets/icons/piggy_bank.svg diff --git a/app/assets/illustrations/puzzle_pieces.svg b/app/assets/icons/puzzle_pieces.svg similarity index 100% rename from app/assets/illustrations/puzzle_pieces.svg rename to app/assets/icons/puzzle_pieces.svg diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index c043b5ea..9b95f596 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -1,3 +1,4 @@ +import {SVGProps} from 'react' import ButtonOrLink from '../ButtonOrLink' import './card.css' @@ -5,7 +6,7 @@ interface CardProps { title: string description: string impact: string - icon: string + icon: (props: SVGProps) => JSX.Element route?: string onClick?: () => void className?: string @@ -24,9 +25,9 @@ export default function Card({ const commonContent = ( <> -
{icon}
+
{icon({})}
-

{title}

+

{title}

{description}

{impact}

diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index fcfd926c..92086d5a 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -1,5 +1,4 @@ .card-small { - height: 328px; padding: var(--spacing-24); display: flex; flex-direction: column; @@ -10,9 +9,8 @@ .card-small-icon { width: 100%; - height: 128px; + height: 130px; margin-bottom: var(--spacing-24); - background-color: var(--colors-teal-50); display: flex; align-items: center; justify-content: center; diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index 52a305fa..7b5063d7 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -1,13 +1,15 @@ +import {SVGProps} from 'react' import ButtonOrLink from '../ButtonOrLink' import './cardsmall.css' interface CardSmallProps { title: string description: string - icon: string + icon: (props: SVGProps) => JSX.Element route?: string onClick?: () => void className?: string + iconColor?: string } export default function CardSmall({ @@ -17,14 +19,17 @@ export default function CardSmall({ route, onClick, className, + iconColor = 'var(--colors-teal-50)', }: CardSmallProps) { className = `card-small bordered ${className}` const commonContent = ( <> -
{icon}
-

{title}

-

{description}

+
+ {icon({})} +
+

{title}

+

{description}

) return ( diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css new file mode 100644 index 00000000..425d8093 --- /dev/null +++ b/app/components/DropDown/dropdown.css @@ -0,0 +1,33 @@ +.drop-down { + border-top: 1px solid var(--colors-teal-500); + border-bottom: 1px solid var(--colors-teal-500); +} + +.drop-down-header { + display: flex; + justify-content: space-between; + align-items: center; + padding-top: var(--spacing-32); + padding-bottom: var(--spacing-32); + cursor: pointer; +} + +.drop-down-content { + max-height: 0; + overflow: hidden; + transition: max-height 0.3s ease-out; +} + +.drop-down-content.open { + max-height: 2000px; + padding-bottom: var(--spacing-40); +} + +.drop-down-chevron { + transition: transform 0.3s ease-out; + transform: rotate(90deg); +} + +.rotate-90 { + transform: rotate(-90deg); +} diff --git a/app/components/DropDown/index.tsx b/app/components/DropDown/index.tsx new file mode 100644 index 00000000..3b460626 --- /dev/null +++ b/app/components/DropDown/index.tsx @@ -0,0 +1,26 @@ +import {useState} from 'react' +import './dropdown.css' +import {ChevronRight} from '../icons-generated' + +interface DropDownProps { + title: string + content: JSX.Element +} + +export default function DropDown({title, content}: DropDownProps) { + const [isOpen, setIsOpen] = useState(false) + + return ( +
+
setIsOpen(!isOpen)} className="drop-down-header"> +

{title}

+ +
+
{content}
+
+ ) +} diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index f0e81975..da7bebd2 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -1,5 +1,6 @@ import './helpgrid.css' import Card from '../Card' +import {Briefcase, Megaphone, PiggyBank, Hand, Book, People} from '../icons-generated' const helpItems = [ { @@ -7,14 +8,14 @@ const helpItems = [ description: 'For both technical and non-technical roles in AI alignment, governance, and field-building', impact: 'Highest direct impact', - icon: 'briefcase', + icon: Briefcase, route: '/howcanihelppage/career', }, { title: 'Spread the word & grassroots activism', description: 'For anyone—help us spread the word about this issue', impact: 'Quickest & most accessible', - icon: 'megaphone', + icon: Megaphone, route: '/howcanihelppage/grassroots', }, { @@ -22,7 +23,7 @@ const helpItems = [ description: 'The AI safety field is constrained by funding—financial help is critical at this moment', impact: 'Highest indirect impact', - icon: 'piggy-bank', + icon: PiggyBank, route: '/howcanihelppage/donate', }, { @@ -30,7 +31,7 @@ const helpItems = [ description: 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are wanted', impact: 'Best for partial commitment', - icon: 'hand-heart', + icon: Hand, route: '/howcanihelppage/volunteer', }, { @@ -38,7 +39,7 @@ const helpItems = [ description: 'Learning about AI safety equips you to effectively contribute to discussions and influence its development', impact: 'Enables impact', - icon: 'book', + icon: Book, route: '/howcanihelppage/knowledge', }, { @@ -46,7 +47,7 @@ const helpItems = [ description: 'Joining a community is motivating, and will help guide your efforts to contribute and get involved', impact: 'Enables impact', - icon: 'people', + icon: People, route: '/howcanihelppage/community', }, ] diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx index f34c3760..e2460672 100644 --- a/app/components/HowCanIHelp/Career.tsx +++ b/app/components/HowCanIHelp/Career.tsx @@ -1,71 +1,477 @@ +import Card from '../Card' import CardSmall from '../CardSmall' +import DropDown from '../DropDown' +import {Microscope, GovermentBuilding, PuzzlePieces} from '../icons-generated' +import LinkCard from '../LinkCard' import './career.css' export default function Career() { return (

Start a career

-

There are 3 major career paths in AI safety:

+

There are 3 major career paths in AI safety:

- -

AI alignment research

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior so - that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

+
+

AI alignment research

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior + so that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical + challenge of AI alignment through dedicated research, and then collaborate globally to + carefully deploy solutions. While experts believe alignment is solvable, it remains a + complex problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like + OpenAI. +

+

+ *Note: Beware of the risk of joining "safety" teams, as this work often leaks to + non-safety parts of the organization which improves the AI technology itself—and so + ends up causing harm. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical challenge - of AI alignment through dedicated research, and then collaborate globally to carefully - deploy solutions. While experts believe alignment is solvable, it remains a complex - problem that demands significant high-quality intellectual talent. +

+
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition

-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like OpenAI. -

-

- *Note: Beware of the risk of joining "safety" teams, as this work often leaks to - non-safety parts of the organization which improves the AI technology itself—and so ends - up causing harm. -

+
+
+

+ Read the 80,000 Hours Technical AI Safety Career Review +

+

+

The review takes about one hour and addresses:

+
    +
  • What this career path involves
    • +
  • How to predict your fit
    • +
  • The upsides and downsides of this career path
    • +
  • Compensation
    • +
  • How to enter or transition into this career
    • +
+

+
+
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

+
+
+

+ Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) +

+

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition. +

+

+ Note: 80,000 Hours does not accept all applicants. +

+
+
+ +
+ +
+
+
+
+

+ A process note: Form your own understanding of the AI alignment technical challenge +

+

+ AI safety is a relatively new field with diverse opinions on how best to solve the + technical challenge of AI alignment. Many unexplored avenues and important questions + likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment + researchers to think independently and develop their own models on this topic. If you + pursue a career in this field, we recommend deeply educating yourself on the technical + challenge of alignment, engaging with other AI safety experts, and thinking critically + about the topic and current paradigms. +

+
+
+ +
+ +
+
+
+
+ +
+

+ There are many roles that support the work of AI alignment researchers, and having + high-performing people in these roles is crucial. In a research organisation + around half of the staff will be doing other tasks essential for the organisation + to perform at its best and have an impact. Some of these roles include: +

+
+
+
+

+ Operations management at an AI safety research organization +

+

+ This involves overseeing the day-to-day activities that enable the organization + to function efficiently and effectively. Responsibilities may include + administrative support, resource allocation, HR, management of facilities, IT + support, project coordination, etc. +

+
+
+ +
+
+
+
+

+ Research management AI safety research organization +

+

+ This involves overseeing and coordinating research activities to ensure they + align with the mission of promoting safe AI development. Responsibilities + include setting research priorities, managing teams, allocating resources, + fostering collaboration, monitoring progress, and upholding ethical standards. +

+
+
+ +
+
+
+
+

+ Being an executive assistant to an AI safety researcher +

+

+ This involves managing administrative tasks to enhance this person’s + productivity. Responsibilities include scheduling meetings, handling + correspondence, coordinating travel, organizing events, and ensuring they can + focus on impactful AI safety efforts. +

+
+
+ +
+
+
+ } + /> +
+
+

AI governance & policy

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior + so that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical + challenge of AI alignment through dedicated research, and then collaborate globally to + carefully deploy solutions. While experts believe alignment is solvable, it remains a + complex problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like + OpenAI. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+
+

AI safety field-building

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior + so that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical + challenge of AI alignment through dedicated research, and then collaborate globally to + carefully deploy solutions. While experts believe alignment is solvable, it remains a + complex problem that demands significant high-quality intellectual talent. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+
+

Most common field-building roles

+
+
+

Communications & advocacy

+

+ Communications involves educating the public or spreading the word about AI + safety—most typically through websites or social media. People with computer skills + and creative skills can typically find a place within communications. More + specifically, roles could include being an independent content producer, software + engineering, project management, or design. +

+
+
+ +
+
+
+
+

Being a grantmaker

+

+ There are many philanthropists interested in donating millions of dollars to AI + safety—but there currently aren’t enough grantmakers able to vet funding proposals. + Because a randomly chosen proposal has little expected impact, grantmakers can have a + large impact by helping philanthropists distinguish promising projects in AI safety + from less promising ones. +

+
+
+ +
+
+
+
+

Founding new projects

+

+ Founding a new project in AI safety involves identifying a gap in a pressing problem + area, formulating a solution, investigating it, and then helping to build an + organisation by investing in strategy, hiring, management, culture, and so on—ideally + building something that can continue without you. +

+
+
+ +
+
+
+
+ +
+

Supporting roles

+
+

+ There are many roles that support the work of AI alignment researchers, and + having high-performing people in these roles is crucial. In a research + organisation around half of the staff will be doing other tasks essential for + the organisation to perform at its best and have an impact. Some of these roles + include: +

+
+
+
+

+ Operations management at an AI safety research organization +

+

+ This involves overseeing the day-to-day activities that enable the + organization to function efficiently and effectively. Responsibilities may + include administrative support, resource allocation, HR, management of + facilities, IT support, project coordination, etc. +

+
+
+ +
+
+
+
+

+ Research management AI safety research organization +

+

+ This involves overseeing and coordinating research activities to ensure they + align with the mission of promoting safe AI development. Responsibilities + include setting research priorities, managing teams, allocating resources, + fostering collaboration, monitoring progress, and upholding ethical standards. +

+
+
+ +
+
+
+
+

+ Being an executive assistant to an AI safety researcher +

+

+ This involves managing administrative tasks to enhance this person’s + productivity. Responsibilities include scheduling meetings, handling + correspondence, coordinating travel, organizing events, and ensuring they can + focus on impactful AI safety efforts. +

+
+
+ +
+
+
+
+

Other technical roles

+
+
+

+ Working in information security to protect AI (or the results of key + experiments) from misuse, theft, or tampering +

+

+ Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse + justo magna. Suspendisse nunc id lacus sit interdum sit. +

+
+
+ +
+
+
+
+

+ Becoming an expert in AI hardware as a way of steering AI progress in safer + directions +

+

+ Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse + justo magna. Suspendisse nunc id lacus sit interdum sit. +

+
+
+ +
+
+
+
+ } + /> +
+
+

+ Multiply your impact:
Support your career pursuit +

+
+ + +
+

Or, explore more ways to help directly

+
+ + +
diff --git a/app/components/HowCanIHelp/career.css b/app/components/HowCanIHelp/career.css index b1bdf1e2..75329367 100644 --- a/app/components/HowCanIHelp/career.css +++ b/app/components/HowCanIHelp/career.css @@ -7,7 +7,18 @@ .section-grid { display: grid; grid-template-columns: repeat(2, 1fr); - gap: var(--spacing-32); + gap: 40px 64px; +} + +.section-split { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: var(--spacing-40); +} + +.help-footer { + border-top: 1px solid var(--colors-cool-grey-200); + padding-top: var(--spacing-80); } @media (max-width: 780px) { diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index bb6c0e63..bd33e04b 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -1,5 +1,4 @@ .howcanihelp-header { - display: flex; - align-items: start; - justify-content: start; + display: grid; + grid-template-columns: repeat(2, 1fr); } diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx new file mode 100644 index 00000000..6aab51d8 --- /dev/null +++ b/app/components/LinkCard/index.tsx @@ -0,0 +1,33 @@ +import React from 'react' +import './linkcard.css' +import {ArrowUpRight} from '../icons-generated' +import ButtonOrLink from '../ButtonOrLink' +interface LinkCardProps { + title: string + tag?: string + route?: string + onClick?: () => void + className?: string +} + +const LinkCard: React.FC = ({title, tag, route, onClick, className}) => { + className = `link-card ${className}` + const commonContent = ( + <> + {tag &&
{tag}
} +

{title}

+ + + ) + + return ( + + ) +} + +export default LinkCard diff --git a/app/components/LinkCard/linkcard.css b/app/components/LinkCard/linkcard.css new file mode 100644 index 00000000..e1aac14c --- /dev/null +++ b/app/components/LinkCard/linkcard.css @@ -0,0 +1,34 @@ +.link-card { + min-height: 100px; + height: fit-content; + display: flex; + flex-direction: column; + justify-content: center; + background-color: #ffffff; + border: 1px solid #e0e0e0; + border-radius: var(--spacing-8); + padding: var(--spacing-16); + position: relative; + cursor: pointer; + transition: box-shadow 0.3s ease; +} + +.link-card:hover { + box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); +} + +.link-card .tag { + background-color: var(--colors-teal-50); + height: fit-content; + width: fit-content; + padding-left: var(--spacing-8); + padding-right: var(--spacing-8); + border-radius: var(--spacing-4); + margin-bottom: var(--spacing-8); +} + +.link-card .arrow { + position: absolute; + top: var(--spacing-8); + right: var(--spacing-8); +} diff --git a/app/components/icons-generated/Book.tsx b/app/components/icons-generated/Book.tsx new file mode 100644 index 00000000..49ad58da --- /dev/null +++ b/app/components/icons-generated/Book.tsx @@ -0,0 +1,45 @@ +import type {SVGProps} from 'react' +const SvgBook = (props: SVGProps) => ( + + + + + + + + + + + + + + +) +export default SvgBook diff --git a/app/components/icons-generated/Briefcase.tsx b/app/components/icons-generated/Briefcase.tsx new file mode 100644 index 00000000..386ea91b --- /dev/null +++ b/app/components/icons-generated/Briefcase.tsx @@ -0,0 +1,32 @@ +import type {SVGProps} from 'react' +const SvgBriefcase = (props: SVGProps) => ( + + + + + + + + + + +) +export default SvgBriefcase diff --git a/app/components/icons-generated/GovermentBuilding.tsx b/app/components/icons-generated/GovermentBuilding.tsx new file mode 100644 index 00000000..53b89ecb --- /dev/null +++ b/app/components/icons-generated/GovermentBuilding.tsx @@ -0,0 +1,45 @@ +import type {SVGProps} from 'react' +const SvgGovermentBuilding = (props: SVGProps) => ( + + + + + + + + + + + + + + +) +export default SvgGovermentBuilding diff --git a/app/components/icons-generated/Hand.tsx b/app/components/icons-generated/Hand.tsx new file mode 100644 index 00000000..ca30e1ee --- /dev/null +++ b/app/components/icons-generated/Hand.tsx @@ -0,0 +1,42 @@ +import type {SVGProps} from 'react' +const SvgHand = (props: SVGProps) => ( + + + + + + + + + + + +) +export default SvgHand diff --git a/app/components/icons-generated/Megaphone.tsx b/app/components/icons-generated/Megaphone.tsx new file mode 100644 index 00000000..519cc1ba --- /dev/null +++ b/app/components/icons-generated/Megaphone.tsx @@ -0,0 +1,62 @@ +import type {SVGProps} from 'react' +const SvgMegaphone = (props: SVGProps) => ( + + + + + + + + + + + + + + + + + +) +export default SvgMegaphone diff --git a/app/components/icons-generated/Microscope.tsx b/app/components/icons-generated/Microscope.tsx new file mode 100644 index 00000000..0656e6cd --- /dev/null +++ b/app/components/icons-generated/Microscope.tsx @@ -0,0 +1,74 @@ +import type {SVGProps} from 'react' +const SvgMicroscope = (props: SVGProps) => ( + + + + + + + + + + + + + + + + + +) +export default SvgMicroscope diff --git a/app/components/icons-generated/PeopleHelpSection.tsx b/app/components/icons-generated/PeopleHelpSection.tsx new file mode 100644 index 00000000..2d61396a --- /dev/null +++ b/app/components/icons-generated/PeopleHelpSection.tsx @@ -0,0 +1,50 @@ +import type {SVGProps} from 'react' +const SvgPeopleHelpSection = (props: SVGProps) => ( + + + + + + + + + + + + + + + +) +export default SvgPeopleHelpSection diff --git a/app/components/icons-generated/PiggyBank.tsx b/app/components/icons-generated/PiggyBank.tsx new file mode 100644 index 00000000..3a6eb566 --- /dev/null +++ b/app/components/icons-generated/PiggyBank.tsx @@ -0,0 +1,29 @@ +import type {SVGProps} from 'react' +const SvgPiggyBank = (props: SVGProps) => ( + + + + + + + + + + +) +export default SvgPiggyBank diff --git a/app/components/icons-generated/PuzzlePieces.tsx b/app/components/icons-generated/PuzzlePieces.tsx new file mode 100644 index 00000000..d69eaefe --- /dev/null +++ b/app/components/icons-generated/PuzzlePieces.tsx @@ -0,0 +1,32 @@ +import type {SVGProps} from 'react' +const SvgPuzzlePieces = (props: SVGProps) => ( + + + + + + + + + + +) +export default SvgPuzzlePieces diff --git a/app/components/icons-generated/index.ts b/app/components/icons-generated/index.ts index 51d2f9a6..16b173a9 100644 --- a/app/components/icons-generated/index.ts +++ b/app/components/icons-generated/index.ts @@ -5,10 +5,12 @@ export {default as ArrowRight} from './ArrowRight' export {default as ArrowUpRight} from './ArrowUpRight' export {default as Arrow} from './Arrow' export {default as BookCircle} from './BookCircle' +export {default as Book} from './Book' export {default as BotSmall} from './BotSmall' export {default as Bot} from './Bot' export {default as BottomEclipse} from './BottomEclipse' export {default as BoxArrow} from './BoxArrow' +export {default as Briefcase} from './Briefcase' export {default as CarrotLarge} from './CarrotLarge' export {default as Chatbot} from './Chatbot' export {default as ChevronRight} from './ChevronRight' @@ -27,8 +29,10 @@ export {default as Exclamation} from './Exclamation' export {default as Flag} from './Flag' export {default as Followup} from './Followup' export {default as GetInvolvedMobile} from './GetInvolvedMobile' +export {default as GovermentBuilding} from './GovermentBuilding' export {default as Group} from './Group' export {default as GroupTopEcplise} from './GroupTopEcplise' +export {default as Hand} from './Hand' export {default as Hide} from './Hide' export {default as IntroMobile} from './IntroMobile' export {default as Like} from './Like' @@ -38,13 +42,18 @@ export {default as ListLarge} from './ListLarge' export {default as MagnifyingGlass} from './MagnifyingGlass' export {default as MagnifyingLarge} from './MagnifyingLarge' export {default as Magnifying} from './Magnifying' +export {default as Megaphone} from './Megaphone' +export {default as Microscope} from './Microscope' export {default as OpenBook} from './OpenBook' export {default as Paper} from './Paper' export {default as Pencil} from './Pencil' export {default as People} from './People' +export {default as PeopleHelpSection} from './PeopleHelpSection' export {default as PersonInCircle} from './PersonInCircle' export {default as Person} from './Person' +export {default as PiggyBank} from './PiggyBank' export {default as PlaneSend} from './PlaneSend' +export {default as PuzzlePieces} from './PuzzlePieces' export {default as QuestionMark} from './QuestionMark' export {default as Search} from './Search' export {default as Settings} from './Settings' diff --git a/app/routes/howcanihelppage.$.tsx b/app/routes/howcanihelppage.$.tsx index 99628ece..8d742956 100644 --- a/app/routes/howcanihelppage.$.tsx +++ b/app/routes/howcanihelppage.$.tsx @@ -1,4 +1,4 @@ -import {useParams} from '@remix-run/react' +import {Link, useParams} from '@remix-run/react' import {useEffect} from 'react' import Page from '~/components/Page' import {howCanIHelpComponents} from '~/components/HowCanIHelp' @@ -18,7 +18,9 @@ export default function HowCanIHelp() { return (
-

How can I help with AI Safety?

+
+ How can I help with AI Safety? +
From ba5211ca0da4500659cf14e3d0b5b14c3bc70652 Mon Sep 17 00:00:00 2001 From: Myles Date: Mon, 14 Oct 2024 19:53:10 -0400 Subject: [PATCH 004/106] linting --- app/components/HowCanIHelp/Career.tsx | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx index e2460672..cdfac081 100644 --- a/app/components/HowCanIHelp/Career.tsx +++ b/app/components/HowCanIHelp/Career.tsx @@ -14,7 +14,7 @@ export default function Career() {

- Working in information security to protect AI (or the results of key + Working in information security to protect AI (or the results of key experiments) from misuse, theft, or tampering

@@ -417,7 +417,7 @@ export default function Career() {

- Becoming an expert in AI hardware as a way of steering AI progress in safer + Becoming an expert in AI hardware as a way of steering AI progress in safer directions

@@ -426,7 +426,7 @@ export default function Career() {

- +
@@ -462,7 +462,7 @@ export default function Career() { /> From 53224c7155737d560a819d486ef08478965e8597 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 15 Oct 2024 11:35:48 -0300 Subject: [PATCH 005/106] Improved copy --- app/routes/howcanihelp.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/routes/howcanihelp.tsx b/app/routes/howcanihelp.tsx index 43b358a5..e904ad1d 100644 --- a/app/routes/howcanihelp.tsx +++ b/app/routes/howcanihelp.tsx @@ -14,8 +14,8 @@ export default function HowCanIHelp() {

How can I help with AI Safety?

- The AI safety movement is still relatively new, and your actions could have significant - impact. Here's what you can do: + The AI movement is still relatively new, and your actions could have significant impact. + Here's what you can do:

From 9cb67d9e0c1ae79d18eb0267196e5d3b6298768d Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 15 Oct 2024 11:41:31 -0300 Subject: [PATCH 006/106] Revert "Improved copy" This reverts commit 53224c7155737d560a819d486ef08478965e8597. --- app/routes/howcanihelp.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/routes/howcanihelp.tsx b/app/routes/howcanihelp.tsx index e904ad1d..43b358a5 100644 --- a/app/routes/howcanihelp.tsx +++ b/app/routes/howcanihelp.tsx @@ -14,8 +14,8 @@ export default function HowCanIHelp() {

How can I help with AI Safety?

- The AI movement is still relatively new, and your actions could have significant impact. - Here's what you can do: + The AI safety movement is still relatively new, and your actions could have significant + impact. Here's what you can do:

From ebeb457f1667e34ddf664fa5bdb7b0e1980034e1 Mon Sep 17 00:00:00 2001 From: Myles Date: Tue, 15 Oct 2024 13:14:37 -0400 Subject: [PATCH 007/106] fixes --- app/components/ButtonOrLink/index.tsx | 32 ------------- app/components/Card/index.tsx | 29 +++-------- app/components/CardSmall/cardsmall.css | 1 + app/components/CardSmall/index.tsx | 22 +++------ app/components/DropDown/dropdown.css | 3 ++ app/components/DropDown/index.tsx | 4 +- app/components/HelpGrid/index.tsx | 12 ++--- app/components/HowCanIHelp/Career.tsx | 48 +++++++++++-------- app/components/HowCanIHelp/Community.tsx | 2 +- app/components/HowCanIHelp/Donate.tsx | 2 +- app/components/HowCanIHelp/Grassroots.tsx | 2 +- app/components/HowCanIHelp/Knowledge.tsx | 2 +- app/components/HowCanIHelp/Volunteer.tsx | 2 +- app/components/HowCanIHelp/career.css | 28 ----------- app/components/HowCanIHelp/community.css | 0 app/components/HowCanIHelp/donate.css | 0 app/components/HowCanIHelp/grassroots.css | 0 app/components/HowCanIHelp/howcanihelp.css | 29 +++++++++++ app/components/HowCanIHelp/knowledge.css | 0 app/components/HowCanIHelp/volunteer.css | 0 app/components/LinkCard/index.tsx | 24 ++++------ app/components/LinkCard/linkcard.css | 3 ++ ...nihelppage.$.tsx => howcanihelp.$page.tsx} | 14 +++--- ...howcanihelp.tsx => howcanihelp._index.tsx} | 10 ++-- 24 files changed, 109 insertions(+), 160 deletions(-) delete mode 100644 app/components/ButtonOrLink/index.tsx delete mode 100644 app/components/HowCanIHelp/career.css delete mode 100644 app/components/HowCanIHelp/community.css delete mode 100644 app/components/HowCanIHelp/donate.css delete mode 100644 app/components/HowCanIHelp/grassroots.css delete mode 100644 app/components/HowCanIHelp/knowledge.css delete mode 100644 app/components/HowCanIHelp/volunteer.css rename app/routes/{howcanihelppage.$.tsx => howcanihelp.$page.tsx} (65%) rename app/routes/{howcanihelp.tsx => howcanihelp._index.tsx} (82%) diff --git a/app/components/ButtonOrLink/index.tsx b/app/components/ButtonOrLink/index.tsx deleted file mode 100644 index d00bd283..00000000 --- a/app/components/ButtonOrLink/index.tsx +++ /dev/null @@ -1,32 +0,0 @@ -import {ReactNode} from 'react' -import {Link} from '@remix-run/react' - -interface ButtonOrLinkProps { - commonContent: ReactNode - route?: string - onClick?: () => void - className?: string - disabled?: boolean -} - -export default function ButtonOrLink({ - commonContent, - route, - onClick, - className = '', - disabled = false, -}: ButtonOrLinkProps) { - if (onClick) { - return ( - - ) - } - - return ( - - {commonContent} - - ) -} diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index 9b95f596..729b5fb7 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -1,5 +1,5 @@ import {SVGProps} from 'react' -import ButtonOrLink from '../ButtonOrLink' +import Button from '../Button' import './card.css' interface CardProps { @@ -7,38 +7,21 @@ interface CardProps { description: string impact: string icon: (props: SVGProps) => JSX.Element - route?: string - onClick?: () => void + action: string className?: string } -export default function Card({ - title, - description, - impact, - icon, - route, - onClick, - className, -}: CardProps) { +export default function Card({title, description, impact, icon, action, className}: CardProps) { className = `card bordered ${className}` - const commonContent = ( - <> + return ( + ) } diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index 92086d5a..a2e02f95 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -1,5 +1,6 @@ .card-small { padding: var(--spacing-24); + align-items: start; display: flex; flex-direction: column; background-color: var(--colors-cool-grey-100); diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index 7b5063d7..7c89dddb 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -1,13 +1,12 @@ import {SVGProps} from 'react' -import ButtonOrLink from '../ButtonOrLink' import './cardsmall.css' +import Button from '../Button' interface CardSmallProps { title: string description: string icon: (props: SVGProps) => JSX.Element - route?: string - onClick?: () => void + action: string className?: string iconColor?: string } @@ -16,28 +15,19 @@ export default function CardSmall({ title, description, icon, - route, - onClick, + action, className, iconColor = 'var(--colors-teal-50)', }: CardSmallProps) { className = `card-small bordered ${className}` - const commonContent = ( - <> + return ( + ) } diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css index 425d8093..76560d8c 100644 --- a/app/components/DropDown/dropdown.css +++ b/app/components/DropDown/dropdown.css @@ -10,6 +10,9 @@ padding-top: var(--spacing-32); padding-bottom: var(--spacing-32); cursor: pointer; + border: none; + background: none; + width: 100%; } .drop-down-content { diff --git a/app/components/DropDown/index.tsx b/app/components/DropDown/index.tsx index 3b460626..01595987 100644 --- a/app/components/DropDown/index.tsx +++ b/app/components/DropDown/index.tsx @@ -12,14 +12,14 @@ export default function DropDown({title, content}: DropDownProps) { return (
-
setIsOpen(!isOpen)} className="drop-down-header"> +
+
{content}
) diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index da7bebd2..b854acd3 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -9,14 +9,14 @@ const helpItems = [ 'For both technical and non-technical roles in AI alignment, governance, and field-building', impact: 'Highest direct impact', icon: Briefcase, - route: '/howcanihelppage/career', + action: '/howcanihelp/career', }, { title: 'Spread the word & grassroots activism', description: 'For anyone—help us spread the word about this issue', impact: 'Quickest & most accessible', icon: Megaphone, - route: '/howcanihelppage/grassroots', + action: '/howcanihelp/grassroots', }, { title: 'Donate', @@ -24,7 +24,7 @@ const helpItems = [ 'The AI safety field is constrained by funding—financial help is critical at this moment', impact: 'Highest indirect impact', icon: PiggyBank, - route: '/howcanihelppage/donate', + action: '/howcanihelp/donate', }, { title: 'Volunteer', @@ -32,7 +32,7 @@ const helpItems = [ 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are wanted', impact: 'Best for partial commitment', icon: Hand, - route: '/howcanihelppage/volunteer', + action: '/howcanihelp/volunteer', }, { title: 'Build your knowledge', @@ -40,7 +40,7 @@ const helpItems = [ 'Learning about AI safety equips you to effectively contribute to discussions and influence its development', impact: 'Enables impact', icon: Book, - route: '/howcanihelppage/knowledge', + action: '/howcanihelp/knowledge', }, { title: 'Join a community', @@ -48,7 +48,7 @@ const helpItems = [ 'Joining a community is motivating, and will help guide your efforts to contribute and get involved', impact: 'Enables impact', icon: People, - route: '/howcanihelppage/community', + action: '/howcanihelp/community', }, ] diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx index cdfac081..053fbd1b 100644 --- a/app/components/HowCanIHelp/Career.tsx +++ b/app/components/HowCanIHelp/Career.tsx @@ -3,7 +3,7 @@ import CardSmall from '../CardSmall' import DropDown from '../DropDown' import {Microscope, GovermentBuilding, PuzzlePieces} from '../icons-generated' import LinkCard from '../LinkCard' -import './career.css' +import './howcanihelp.css' export default function Career() { return ( @@ -12,18 +12,21 @@ export default function Career() {

There are 3 major career paths in AI safety:

- +
@@ -118,9 +121,9 @@ export default function Career() {

- +
- +
@@ -139,9 +142,9 @@ export default function Career() {

- +
- +
@@ -171,7 +174,7 @@ export default function Career() {

- +
@@ -187,7 +190,7 @@ export default function Career() {

- +
@@ -203,7 +206,7 @@ export default function Career() {

- +
@@ -299,7 +302,7 @@ export default function Career() {

- +
@@ -314,7 +317,7 @@ export default function Career() {

- +
@@ -328,7 +331,7 @@ export default function Career() {

- +
@@ -361,7 +364,7 @@ export default function Career() {

- +
@@ -377,7 +380,7 @@ export default function Career() {

- +
@@ -393,7 +396,7 @@ export default function Career() {

- +
@@ -411,7 +414,10 @@ export default function Career() {

- +
@@ -426,7 +432,7 @@ export default function Career() {

- +
@@ -440,12 +446,14 @@ export default function Career() {
diff --git a/app/components/HowCanIHelp/Community.tsx b/app/components/HowCanIHelp/Community.tsx index e6d31e5d..78ca8823 100644 --- a/app/components/HowCanIHelp/Community.tsx +++ b/app/components/HowCanIHelp/Community.tsx @@ -1,4 +1,4 @@ -import './community.css' +import './howcanihelp.css' export default function Community() { return ( diff --git a/app/components/HowCanIHelp/Donate.tsx b/app/components/HowCanIHelp/Donate.tsx index 29e88302..ea45b87b 100644 --- a/app/components/HowCanIHelp/Donate.tsx +++ b/app/components/HowCanIHelp/Donate.tsx @@ -1,4 +1,4 @@ -import './donate.css' +import './howcanihelp.css' export default function Donate() { return ( diff --git a/app/components/HowCanIHelp/Grassroots.tsx b/app/components/HowCanIHelp/Grassroots.tsx index b15c34fb..3d5c72ca 100644 --- a/app/components/HowCanIHelp/Grassroots.tsx +++ b/app/components/HowCanIHelp/Grassroots.tsx @@ -1,4 +1,4 @@ -import './grassroots.css' +import './howcanihelp.css' export default function Grassroots() { return ( diff --git a/app/components/HowCanIHelp/Knowledge.tsx b/app/components/HowCanIHelp/Knowledge.tsx index fa5cfbce..e72ee347 100644 --- a/app/components/HowCanIHelp/Knowledge.tsx +++ b/app/components/HowCanIHelp/Knowledge.tsx @@ -1,4 +1,4 @@ -import './knowledge.css' +import './howcanihelp.css' export default function Knowledge() { return ( diff --git a/app/components/HowCanIHelp/Volunteer.tsx b/app/components/HowCanIHelp/Volunteer.tsx index 3e390b8b..1b9f3dd6 100644 --- a/app/components/HowCanIHelp/Volunteer.tsx +++ b/app/components/HowCanIHelp/Volunteer.tsx @@ -1,4 +1,4 @@ -import './volunteer.css' +import './howcanihelp.css' export default function Volunteer() { return ( diff --git a/app/components/HowCanIHelp/career.css b/app/components/HowCanIHelp/career.css deleted file mode 100644 index 75329367..00000000 --- a/app/components/HowCanIHelp/career.css +++ /dev/null @@ -1,28 +0,0 @@ -.paths-grid { - display: grid; - grid-template-columns: repeat(3, 1fr); - gap: var(--spacing-32); -} - -.section-grid { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: 40px 64px; -} - -.section-split { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: var(--spacing-40); -} - -.help-footer { - border-top: 1px solid var(--colors-cool-grey-200); - padding-top: var(--spacing-80); -} - -@media (max-width: 780px) { - .paths-grid { - grid-template-columns: 1fr; - } -} diff --git a/app/components/HowCanIHelp/community.css b/app/components/HowCanIHelp/community.css deleted file mode 100644 index e69de29b..00000000 diff --git a/app/components/HowCanIHelp/donate.css b/app/components/HowCanIHelp/donate.css deleted file mode 100644 index e69de29b..00000000 diff --git a/app/components/HowCanIHelp/grassroots.css b/app/components/HowCanIHelp/grassroots.css deleted file mode 100644 index e69de29b..00000000 diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index bd33e04b..83d0e87f 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -2,3 +2,32 @@ display: grid; grid-template-columns: repeat(2, 1fr); } + +.paths-grid { + display: grid; + grid-template-columns: repeat(3, 1fr); + gap: var(--spacing-32); +} + +.section-grid { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: 40px 64px; +} + +.section-split { + display: grid; + grid-template-columns: repeat(2, 1fr); + gap: var(--spacing-40); +} + +.help-footer { + border-top: 1px solid var(--colors-cool-grey-200); + padding-top: var(--spacing-80); +} + +@media (max-width: 780px) { + .paths-grid { + grid-template-columns: 1fr; + } +} diff --git a/app/components/HowCanIHelp/knowledge.css b/app/components/HowCanIHelp/knowledge.css deleted file mode 100644 index e69de29b..00000000 diff --git a/app/components/HowCanIHelp/volunteer.css b/app/components/HowCanIHelp/volunteer.css deleted file mode 100644 index e69de29b..00000000 diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index 6aab51d8..f60b9b97 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -1,32 +1,24 @@ import React from 'react' import './linkcard.css' import {ArrowUpRight} from '../icons-generated' -import ButtonOrLink from '../ButtonOrLink' +import Button from '../Button' + interface LinkCardProps { title: string tag?: string - route?: string - onClick?: () => void + action?: string className?: string } -const LinkCard: React.FC = ({title, tag, route, onClick, className}) => { +const LinkCard: React.FC = ({title, tag, action, className}) => { className = `link-card ${className}` - const commonContent = ( - <> + + return ( + ) } diff --git a/app/components/LinkCard/linkcard.css b/app/components/LinkCard/linkcard.css index e1aac14c..cc0e1e8f 100644 --- a/app/components/LinkCard/linkcard.css +++ b/app/components/LinkCard/linkcard.css @@ -11,6 +11,9 @@ position: relative; cursor: pointer; transition: box-shadow 0.3s ease; + width: 100%; + align-items: start; + box-shadow: 0 0 0 0 transparent; } .link-card:hover { diff --git a/app/routes/howcanihelppage.$.tsx b/app/routes/howcanihelp.$page.tsx similarity index 65% rename from app/routes/howcanihelppage.$.tsx rename to app/routes/howcanihelp.$page.tsx index 8d742956..f7984994 100644 --- a/app/routes/howcanihelppage.$.tsx +++ b/app/routes/howcanihelp.$page.tsx @@ -1,15 +1,15 @@ import {Link, useParams} from '@remix-run/react' -import {useEffect} from 'react' import Page from '~/components/Page' import {howCanIHelpComponents} from '~/components/HowCanIHelp' +import {MetaFunction} from '@remix-run/node' -export default function HowCanIHelp() { - const {'*': subpage} = useParams() - const Component = howCanIHelpComponents[subpage as keyof typeof howCanIHelpComponents] +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} - useEffect(() => { - document.title = `How Can I Help: ${subpage} - AISafety.info` - }, [subpage]) +export default function HowCanIHelp() { + const {page} = useParams() + const Component = howCanIHelpComponents[page as keyof typeof howCanIHelpComponents] if (!Component) { return
Page not found
diff --git a/app/routes/howcanihelp.tsx b/app/routes/howcanihelp._index.tsx similarity index 82% rename from app/routes/howcanihelp.tsx rename to app/routes/howcanihelp._index.tsx index 43b358a5..6aad0d75 100644 --- a/app/routes/howcanihelp.tsx +++ b/app/routes/howcanihelp._index.tsx @@ -1,13 +1,13 @@ -import {useEffect} from 'react' import Page from '~/components/Page' import HelpGrid from '~/components/HelpGrid' import '~/components/HowCanIHelp/howcanihelp.css' +import {MetaFunction} from '@remix-run/node' -export default function HowCanIHelp() { - useEffect(() => { - document.title = 'How Can I Help? - AISafety.info' - }, []) +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} +export default function HowCanIHelp() { return (
From df28d6025724355acee3d88b4a70fc9306781aa2 Mon Sep 17 00:00:00 2001 From: Myles Date: Thu, 17 Oct 2024 12:13:41 -0400 Subject: [PATCH 008/106] careers page, various minor fixes #784 --- app/components/Card/card.css | 17 +- app/components/Card/index.tsx | 4 +- app/components/CardSmall/cardsmall.css | 7 +- app/components/CardSmall/index.tsx | 2 +- app/components/DropDown/dropdown.css | 4 +- app/components/DropDown/index.tsx | 4 +- app/components/HowCanIHelp/Career.tsx | 177 ++++++++++++++++++++- app/components/HowCanIHelp/howcanihelp.css | 6 + app/components/LinkCard/linkcard.css | 8 +- app/components/Testimonial/index.tsx | 45 ++++++ app/components/Testimonial/testimonial.css | 20 +++ app/root.css | 43 +++++ public/assets/bryce.png | Bin 0 -> 830646 bytes public/assets/guy.jpeg | Bin 0 -> 10419 bytes 14 files changed, 304 insertions(+), 33 deletions(-) create mode 100644 app/components/Testimonial/index.tsx create mode 100644 app/components/Testimonial/testimonial.css create mode 100644 public/assets/bryce.png create mode 100644 public/assets/guy.jpeg diff --git a/app/components/Card/card.css b/app/components/Card/card.css index a5af5c8d..210609f6 100644 --- a/app/components/Card/card.css +++ b/app/components/Card/card.css @@ -4,7 +4,10 @@ display: flex; background-color: var(--colors-cool-grey-100); border-radius: var(--border-radius); - box-shadow: 0px var(--spacing-16) var(--spacing-40) rgba(175, 183, 194, 0.2); +} + +.card:hover { + border-color: var(--colors-teal-200); } .card-content { @@ -25,18 +28,6 @@ flex-shrink: 0; } -.card-impact { - color: var(--colors-teal-500); - height: fit-content; - width: fit-content; - padding-left: 10px; - padding-top: 2px; - padding-bottom: 2px; - padding-right: 10px; - background-color: var(--colors-teal-50); - border-radius: var(--border-radius); -} - @media (max-width: 780px) { .card { flex-direction: column; diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index 729b5fb7..e4d7583f 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -18,9 +18,9 @@ export default function Card({title, description, impact, icon, action, classNam ) diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index a2e02f95..e57d9d20 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -1,11 +1,16 @@ .card-small { padding: var(--spacing-24); align-items: start; + justify-content: start; display: flex; flex-direction: column; background-color: var(--colors-cool-grey-100); + border: 1px solid var(--colors-cool-grey-200); border-radius: var(--border-radius); - box-shadow: 0px var(--spacing-16) var(--spacing-40) rgba(175, 183, 194, 0.2); +} + +.card-small:hover { + border-color: var(--colors-teal-200); } .card-small-icon { diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index 7c89dddb..4ded3378 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -26,7 +26,7 @@ export default function CardSmall({
{icon({})}
-

{title}

+

{title}

{description}

) diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css index 76560d8c..d058ec64 100644 --- a/app/components/DropDown/dropdown.css +++ b/app/components/DropDown/dropdown.css @@ -1,6 +1,6 @@ .drop-down { - border-top: 1px solid var(--colors-teal-500); - border-bottom: 1px solid var(--colors-teal-500); + border-top: 1px solid var(--colors-teal-200); + border-bottom: 1px solid var(--colors-teal-200); } .drop-down-header { diff --git a/app/components/DropDown/index.tsx b/app/components/DropDown/index.tsx index 01595987..cc5d42c0 100644 --- a/app/components/DropDown/index.tsx +++ b/app/components/DropDown/index.tsx @@ -15,8 +15,8 @@ export default function DropDown({title, content}: DropDownProps) { diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx index 053fbd1b..ab5dbba5 100644 --- a/app/components/HowCanIHelp/Career.tsx +++ b/app/components/HowCanIHelp/Career.tsx @@ -3,6 +3,7 @@ import CardSmall from '../CardSmall' import DropDown from '../DropDown' import {Microscope, GovermentBuilding, PuzzlePieces} from '../icons-generated' import LinkCard from '../LinkCard' +import Testimonial from '../Testimonial' import './howcanihelp.css' export default function Career() { @@ -64,10 +65,10 @@ export default function Career() { independently; or on industry safety teams*, usually at major AI companies like OpenAI.

-

- *Note: Beware of the risk of joining "safety" teams, as this work often leaks to - non-safety parts of the organization which improves the AI technology itself—and so - ends up causing harm. +

+ *Note: Beware of the risk of joining "safety" + teams, as this work often leaks to non-safety parts of the organization which improves + the AI technology itself—and so ends up causing harm.

@@ -90,7 +91,7 @@ export default function Career() {
-

+

Read the 80,000 Hours Technical AI Safety Career Review

@@ -108,7 +109,7 @@ export default function Career() {

-

+

Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free)

@@ -128,7 +129,7 @@ export default function Career() {

-

+

A process note: Form your own understanding of the AI alignment technical challenge

@@ -213,6 +214,24 @@ export default function Career() { } />

+
+ + +

AI governance & policy

@@ -255,6 +274,92 @@ export default function Career() {
+
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition +

+
+
+
+

+ Read the 80,000 Hours Technical AI Safety Career Review +

+

+

The review takes about one hour and addresses:

+
    +
  • What this career path involves
    • +
  • How to predict your fit
    • +
  • The upsides and downsides of this career path
    • +
  • Compensation
    • +
  • How to enter or transition into this career
    • +
+

+
+ +
+
+
+

+ Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) +

+

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition. +

+

+ Note: 80,000 Hours does not accept all applicants. +

+
+
+ +
+ +
+
+
+
+

+ A process note: Form your own understanding of the AI alignment technical challenge +

+

+ AI safety is a relatively new field with diverse opinions on how best to solve the + technical challenge of AI alignment. Many unexplored avenues and important questions + likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment + researchers to think independently and develop their own models on this topic. If you + pursue a career in this field, we recommend deeply educating yourself on the technical + challenge of alignment, engaging with other AI safety experts, and thinking critically + about the topic and current paradigms. +

+
+
+ +
+ +
+
+
+
+ + +

AI safety field-building

@@ -440,6 +545,64 @@ export default function Career() { } />
+
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition +

+
+
+
+

+ Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) +

+

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition. +

+

+ Note: 80,000 Hours does not accept all applicants. +

+
+
+ +
+ +
+
+
+
+

+ A process note: Form your own understanding of the AI alignment technical challenge +

+

+ AI safety is a relatively new field with diverse opinions on how best to solve the + technical challenge of AI alignment. Many unexplored avenues and important questions + likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment + researchers to think independently and develop their own models on this topic. If you + pursue a career in this field, we recommend deeply educating yourself on the technical + challenge of alignment, engaging with other AI safety experts, and thinking critically + about the topic and current paradigms. +

+
+
+ +
+ +
+
+
+
+ +

Multiply your impact:
Support your career pursuit diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index 83d0e87f..d0ed5515 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -30,4 +30,10 @@ .paths-grid { grid-template-columns: 1fr; } + .section-grid { + grid-template-columns: 1fr; + } + .section-split { + grid-template-columns: 1fr; + } } diff --git a/app/components/LinkCard/linkcard.css b/app/components/LinkCard/linkcard.css index cc0e1e8f..e8412751 100644 --- a/app/components/LinkCard/linkcard.css +++ b/app/components/LinkCard/linkcard.css @@ -4,20 +4,18 @@ display: flex; flex-direction: column; justify-content: center; - background-color: #ffffff; - border: 1px solid #e0e0e0; - border-radius: var(--spacing-8); + border: 1px solid var(--colors-cool-grey-200); + border-radius: var(--border-radius); padding: var(--spacing-16); position: relative; cursor: pointer; transition: box-shadow 0.3s ease; width: 100%; align-items: start; - box-shadow: 0 0 0 0 transparent; } .link-card:hover { - box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); + border-color: var(--colors-teal-200); } .link-card .tag { diff --git a/app/components/Testimonial/index.tsx b/app/components/Testimonial/index.tsx new file mode 100644 index 00000000..11fd462f --- /dev/null +++ b/app/components/Testimonial/index.tsx @@ -0,0 +1,45 @@ +import React from 'react' +import './testimonial.css' +import useIsMobile from '../../hooks/isMobile' + +interface TestimonialProps { + className?: string + title: string + description: string + src: string + layout?: 'expanded' | 'squeezed' +} + +const Testimonial: React.FC = ({ + className, + title, + description, + src, + layout = 'squeezed', +}) => { + const isMobile = useIsMobile() + const finalLayout = isMobile ? 'squeezed' : layout + className = `testimonial ${finalLayout} ${className || ''}` + + return finalLayout === 'squeezed' ? ( +
+
+ Testimonial's Face +

{title}

+
+

{description}

+
+ ) : ( +
+
+ Testimonial's Face +
+

{title}

+

{description}

+
+
+
+ ) +} + +export default Testimonial diff --git a/app/components/Testimonial/testimonial.css b/app/components/Testimonial/testimonial.css new file mode 100644 index 00000000..fd1da2eb --- /dev/null +++ b/app/components/Testimonial/testimonial.css @@ -0,0 +1,20 @@ +.testimonial { + border: 1px solid var(--colors-cool-grey-200); + border-radius: var(--border-radius); +} + +.testimonial.expanded { + padding: var(--spacing-40); + max-width: 875px; + margin-left: auto; + margin-right: auto; +} + +.testimonial.squeezed { + padding: var(--spacing-32); +} + +.testimonial-header { + display: flex; + align-items: center; +} diff --git a/app/root.css b/app/root.css index a5abd828..03de5c73 100644 --- a/app/root.css +++ b/app/root.css @@ -336,6 +336,40 @@ h2 { padding-left: var(--spacing-80) !important; } +/* padding right */ + +.padding-right-4 { + padding-right: var(--spacing-4) !important; +} + +.padding-right-8 { + padding-right: var(--spacing-8) !important; +} + +.padding-right-16 { + padding-right: var(--spacing-16) !important; +} + +.padding-right-24 { + padding-right: var(--spacing-24) !important; +} + +.padding-right-32 { + padding-right: var(--spacing-32) !important; +} + +.padding-right-40 { + padding-right: var(--spacing-40) !important; +} + +.padding-right-56 { + padding-right: var(--spacing-56) !important; +} + +.padding-right-80 { + padding-right: var(--spacing-80) !important; +} + /* width classes. please turn the grid on in figma and then define widths based on how many columns there are! */ /* note I may change these to vars later */ @@ -556,6 +590,15 @@ svg { stroke: var(--colors-teal-600); } +.tag { + color: var(--colors-teal-500); + height: fit-content; + width: fit-content; + padding: 4px 8px; + background-color: var(--colors-teal-50); + border-radius: var(--border-radius); +} + @media (min-width: 780px) { .mobile-only { display: none !important; diff --git a/public/assets/bryce.png b/public/assets/bryce.png new file mode 100644 index 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zp-DB4^vDjKP>bEDU0M_uJQ`mR@Mm2k67HUU1sHfn%JX;7mU~r{IMP>rX4gzNZ$)zE zsYhmV^NA=nzz3vx6qfseNyNdn`^^TCL~<`VPYPmAJiQ~fr2fIRWhKjO_Vd+~&wt8I zr>p_zUV_8L#0+)rajQ9IgYmQlu~K1H#gU}2_Ml1Pa1!MC*81_p>U`?+r*e&$ze(uYw}Q1 zRBu^T>2gSt+HBaQ;)GxX{!FbpPx@WhKfFVr%vIrXBQ_b>B@ZPyq1N@z+(B8`0b`}+ p98iwy$M18IQ4E01ET*iuFK{?R5ES%end%_v8#=b5mfpA3{{vKY0s8;| literal 0 HcmV?d00001 From 06e9d19723b1a6c233eb5e0bf816ded7682e91b4 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Fri, 18 Oct 2024 16:14:56 +0200 Subject: [PATCH 009/106] Tidy up the careers page --- app/components/DropDown/index.tsx | 8 +- app/components/HelpGrid/index.tsx | 13 +- app/components/HowCanIHelp/Base.tsx | 22 + app/components/HowCanIHelp/Career.tsx | 487 ------------------ app/components/HowCanIHelp/Community.tsx | 10 - app/components/HowCanIHelp/Donate.tsx | 10 - app/components/HowCanIHelp/Grassroots.tsx | 10 - app/components/HowCanIHelp/HelpItem.tsx | 22 + app/components/HowCanIHelp/HelpMethods.tsx | 75 +++ app/components/HowCanIHelp/Knowledge.tsx | 10 - app/components/HowCanIHelp/Volunteer.tsx | 10 - app/components/HowCanIHelp/index.tsx | 15 - app/components/LinkCard/index.tsx | 27 +- ...p._index.tsx => how-can-i-help._index.tsx} | 0 app/routes/how-can-i-help.career.tsx | 447 ++++++++++++++++ app/routes/how-can-i-help.community.tsx | 10 + app/routes/how-can-i-help.donate.tsx | 10 + app/routes/how-can-i-help.grassroots.tsx | 10 + app/routes/how-can-i-help.knowledge.tsx | 10 + app/routes/how-can-i-help.volunteer.tsx | 10 + app/routes/howcanihelp.$page.tsx | 28 - app/routesMapper.ts | 11 + 22 files changed, 651 insertions(+), 604 deletions(-) create mode 100644 app/components/HowCanIHelp/Base.tsx delete mode 100644 app/components/HowCanIHelp/Career.tsx delete mode 100644 app/components/HowCanIHelp/Community.tsx delete mode 100644 app/components/HowCanIHelp/Donate.tsx delete mode 100644 app/components/HowCanIHelp/Grassroots.tsx create mode 100644 app/components/HowCanIHelp/HelpItem.tsx create mode 100644 app/components/HowCanIHelp/HelpMethods.tsx delete mode 100644 app/components/HowCanIHelp/Knowledge.tsx delete mode 100644 app/components/HowCanIHelp/Volunteer.tsx delete mode 100644 app/components/HowCanIHelp/index.tsx rename app/routes/{howcanihelp._index.tsx => how-can-i-help._index.tsx} (100%) create mode 100644 app/routes/how-can-i-help.career.tsx create mode 100644 app/routes/how-can-i-help.community.tsx create mode 100644 app/routes/how-can-i-help.donate.tsx create mode 100644 app/routes/how-can-i-help.grassroots.tsx create mode 100644 app/routes/how-can-i-help.knowledge.tsx create mode 100644 app/routes/how-can-i-help.volunteer.tsx delete mode 100644 app/routes/howcanihelp.$page.tsx diff --git a/app/components/DropDown/index.tsx b/app/components/DropDown/index.tsx index 01595987..0eab47d1 100644 --- a/app/components/DropDown/index.tsx +++ b/app/components/DropDown/index.tsx @@ -1,13 +1,13 @@ -import {useState} from 'react' +import {ReactNode, useState} from 'react' import './dropdown.css' import {ChevronRight} from '../icons-generated' interface DropDownProps { title: string - content: JSX.Element + children: ReactNode } -export default function DropDown({title, content}: DropDownProps) { +export default function DropDown({title, children}: DropDownProps) { const [isOpen, setIsOpen] = useState(false) return ( @@ -20,7 +20,7 @@ export default function DropDown({title, content}: DropDownProps) { className={`${isOpen ? 'rotate-90' : ''} drop-down-chevron`} /> -

+
{children}

) } diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index b854acd3..0b43cf39 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -1,6 +1,7 @@ import './helpgrid.css' import Card from '../Card' import {Briefcase, Megaphone, PiggyBank, Hand, Book, People} from '../icons-generated' +import {helpUrl} from '~/routesMapper' const helpItems = [ { @@ -9,14 +10,14 @@ const helpItems = [ 'For both technical and non-technical roles in AI alignment, governance, and field-building', impact: 'Highest direct impact', icon: Briefcase, - action: '/howcanihelp/career', + action: helpUrl('career'), }, { title: 'Spread the word & grassroots activism', description: 'For anyone—help us spread the word about this issue', impact: 'Quickest & most accessible', icon: Megaphone, - action: '/howcanihelp/grassroots', + action: helpUrl('grassroots'), }, { title: 'Donate', @@ -24,7 +25,7 @@ const helpItems = [ 'The AI safety field is constrained by funding—financial help is critical at this moment', impact: 'Highest indirect impact', icon: PiggyBank, - action: '/howcanihelp/donate', + action: helpUrl('donate'), }, { title: 'Volunteer', @@ -32,7 +33,7 @@ const helpItems = [ 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are wanted', impact: 'Best for partial commitment', icon: Hand, - action: '/howcanihelp/volunteer', + action: helpUrl('volunteer'), }, { title: 'Build your knowledge', @@ -40,7 +41,7 @@ const helpItems = [ 'Learning about AI safety equips you to effectively contribute to discussions and influence its development', impact: 'Enables impact', icon: Book, - action: '/howcanihelp/knowledge', + action: helpUrl('knowledge'), }, { title: 'Join a community', @@ -48,7 +49,7 @@ const helpItems = [ 'Joining a community is motivating, and will help guide your efforts to contribute and get involved', impact: 'Enables impact', icon: People, - action: '/howcanihelp/community', + action: helpUrl('community'), }, ] diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx new file mode 100644 index 00000000..8f7c8f23 --- /dev/null +++ b/app/components/HowCanIHelp/Base.tsx @@ -0,0 +1,22 @@ +import {Link} from '@remix-run/react' +import Page from '~/components/Page' +import HelpMethods from '~/components/HowCanIHelp/HelpMethods' +import {HelpPage, helpUrl} from '~/routesMapper' + +export default function Base({title, subpage}: {title: string; subpage: HelpPage}) { + return ( + +
+
+ How can I help with AI Safety? +
+ +
+

{title}

+ + +
+
+ + ) +} diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx deleted file mode 100644 index 053fbd1b..00000000 --- a/app/components/HowCanIHelp/Career.tsx +++ /dev/null @@ -1,487 +0,0 @@ -import Card from '../Card' -import CardSmall from '../CardSmall' -import DropDown from '../DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '../icons-generated' -import LinkCard from '../LinkCard' -import './howcanihelp.css' - -export default function Career() { - return ( -
-

Start a career

-

There are 3 major career paths in AI safety:

-
- - - -
-
-

AI alignment research

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like - OpenAI. -

-

- *Note: Beware of the risk of joining "safety" teams, as this work often leaks to - non-safety parts of the organization which improves the AI technology itself—and so - ends up causing harm. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-
-

Interested in pursuing this career path?

-

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition -

-
-
-
-

- Read the 80,000 Hours Technical AI Safety Career Review -

-

-

The review takes about one hour and addresses:

-
    -
  • What this career path involves
    • -
  • How to predict your fit
    • -
  • The upsides and downsides of this career path
    • -
  • Compensation
    • -
  • How to enter or transition into this career
    • -
-

-
- -
-
-
-

- Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) -

-

- Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will - address your specific questions about the field, confirm your interest and fit, and - provide tailored recommendations to help you make the transition. -

-

- Note: 80,000 Hours does not accept all applicants. -

-
-
- -
- -
-
-
-
-

- A process note: Form your own understanding of the AI alignment technical challenge -

-

- AI safety is a relatively new field with diverse opinions on how best to solve the - technical challenge of AI alignment. Many unexplored avenues and important questions - likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment - researchers to think independently and develop their own models on this topic. If you - pursue a career in this field, we recommend deeply educating yourself on the technical - challenge of alignment, engaging with other AI safety experts, and thinking critically - about the topic and current paradigms. -

-
-
- -
- -
-
-
-
- -
-

- There are many roles that support the work of AI alignment researchers, and having - high-performing people in these roles is crucial. In a research organisation - around half of the staff will be doing other tasks essential for the organisation - to perform at its best and have an impact. Some of these roles include: -

-
-
-
-

- Operations management at an AI safety research organization -

-

- This involves overseeing the day-to-day activities that enable the organization - to function efficiently and effectively. Responsibilities may include - administrative support, resource allocation, HR, management of facilities, IT - support, project coordination, etc. -

-
-
- -
-
-
-
-

- Research management AI safety research organization -

-

- This involves overseeing and coordinating research activities to ensure they - align with the mission of promoting safe AI development. Responsibilities - include setting research priorities, managing teams, allocating resources, - fostering collaboration, monitoring progress, and upholding ethical standards. -

-
-
- -
-
-
-
-

- Being an executive assistant to an AI safety researcher -

-

- This involves managing administrative tasks to enhance this person’s - productivity. Responsibilities include scheduling meetings, handling - correspondence, coordinating travel, organizing events, and ensuring they can - focus on impactful AI safety efforts. -

-
-
- -
-
-
- } - /> -
-
-

AI governance & policy

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like - OpenAI. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-

AI safety field-building

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-

Most common field-building roles

-
-
-

Communications & advocacy

-

- Communications involves educating the public or spreading the word about AI - safety—most typically through websites or social media. People with computer skills - and creative skills can typically find a place within communications. More - specifically, roles could include being an independent content producer, software - engineering, project management, or design. -

-
-
- -
-
-
-
-

Being a grantmaker

-

- There are many philanthropists interested in donating millions of dollars to AI - safety—but there currently aren’t enough grantmakers able to vet funding proposals. - Because a randomly chosen proposal has little expected impact, grantmakers can have a - large impact by helping philanthropists distinguish promising projects in AI safety - from less promising ones. -

-
-
- -
-
-
-
-

Founding new projects

-

- Founding a new project in AI safety involves identifying a gap in a pressing problem - area, formulating a solution, investigating it, and then helping to build an - organisation by investing in strategy, hiring, management, culture, and so on—ideally - building something that can continue without you. -

-
-
- -
-
-
-
- -
-

Supporting roles

-
-

- There are many roles that support the work of AI alignment researchers, and - having high-performing people in these roles is crucial. In a research - organisation around half of the staff will be doing other tasks essential for - the organisation to perform at its best and have an impact. Some of these roles - include: -

-
-
-
-

- Operations management at an AI safety research organization -

-

- This involves overseeing the day-to-day activities that enable the - organization to function efficiently and effectively. Responsibilities may - include administrative support, resource allocation, HR, management of - facilities, IT support, project coordination, etc. -

-
-
- -
-
-
-
-

- Research management AI safety research organization -

-

- This involves overseeing and coordinating research activities to ensure they - align with the mission of promoting safe AI development. Responsibilities - include setting research priorities, managing teams, allocating resources, - fostering collaboration, monitoring progress, and upholding ethical standards. -

-
-
- -
-
-
-
-

- Being an executive assistant to an AI safety researcher -

-

- This involves managing administrative tasks to enhance this person’s - productivity. Responsibilities include scheduling meetings, handling - correspondence, coordinating travel, organizing events, and ensuring they can - focus on impactful AI safety efforts. -

-
-
- -
-
-
-
-

Other technical roles

-
-
-

- Working in information security to protect AI (or the results of key - experiments) from misuse, theft, or tampering -

-

- Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse - justo magna. Suspendisse nunc id lacus sit interdum sit. -

-
-
- -
-
-
-
-

- Becoming an expert in AI hardware as a way of steering AI progress in safer - directions -

-

- Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse - justo magna. Suspendisse nunc id lacus sit interdum sit. -

-
-
- -
-
-
-
- } - /> -
-
-

- Multiply your impact:
Support your career pursuit -

-
- - -
-

Or, explore more ways to help directly

-
- - - -
-
-
- ) -} diff --git a/app/components/HowCanIHelp/Community.tsx b/app/components/HowCanIHelp/Community.tsx deleted file mode 100644 index 78ca8823..00000000 --- a/app/components/HowCanIHelp/Community.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import './howcanihelp.css' - -export default function Community() { - return ( -
-

Join the community

- {/* Add content for the Community page */} -
- ) -} diff --git a/app/components/HowCanIHelp/Donate.tsx b/app/components/HowCanIHelp/Donate.tsx deleted file mode 100644 index ea45b87b..00000000 --- a/app/components/HowCanIHelp/Donate.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import './howcanihelp.css' - -export default function Donate() { - return ( -
-

Donate to AISafety.info

- {/* Add content for the Donate page */} -
- ) -} diff --git a/app/components/HowCanIHelp/Grassroots.tsx b/app/components/HowCanIHelp/Grassroots.tsx deleted file mode 100644 index 3d5c72ca..00000000 --- a/app/components/HowCanIHelp/Grassroots.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import './howcanihelp.css' - -export default function Grassroots() { - return ( -
-

Help with grassroots AI Safety

- {/* Add content for the Grassroots page */} -
- ) -} diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx new file mode 100644 index 00000000..375fb23e --- /dev/null +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -0,0 +1,22 @@ +import {ReactNode} from 'react' +import LinkCard, {Link} from '~/components/LinkCard' + +type HelpItemProps = { + title?: ReactNode + children: ReactNode + links?: Link[] +} +const HelpItem = ({title, children, links}: HelpItemProps) => { + return ( +
+
+ {title &&

{title}

} +

{children}

+
+
+ {links?.map((link) => )} +
+
+ ) +} +export default HelpItem diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx new file mode 100644 index 00000000..acce6f96 --- /dev/null +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -0,0 +1,75 @@ +import Card from '~/components/Card' +import CardSmall from '~/components/CardSmall' +import {HelpPage, helpUrl} from '~/routesMapper' +import {PuzzlePieces} from '~/components/icons-generated' + +type HelpMethodsProps = { + current?: HelpPage + header?: string + subheader?: string +} +const HelpMethods = ({ + current, + header = 'Multiply your impact: Support your career pursuit', + subheader = 'Or, explore more ways to help directly', +}: HelpMethodsProps) => ( +
+

{header}

+
+ {current !== 'knowledge' && ( + + )} + {current !== 'community' && ( + + )} +
+

{subheader}

+
+ {current !== 'career' && ( + + )} + {current !== 'donate' && ( + + )} + {current !== 'volunteer' && ( + + )} + {current !== 'grassroots' && ( + + )} +
+
+) +export default HelpMethods diff --git a/app/components/HowCanIHelp/Knowledge.tsx b/app/components/HowCanIHelp/Knowledge.tsx deleted file mode 100644 index e72ee347..00000000 --- a/app/components/HowCanIHelp/Knowledge.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import './howcanihelp.css' - -export default function Knowledge() { - return ( -
-

Share knowledge about AI Safety

- {/* Add content for the Knowledge page */} -
- ) -} diff --git a/app/components/HowCanIHelp/Volunteer.tsx b/app/components/HowCanIHelp/Volunteer.tsx deleted file mode 100644 index 1b9f3dd6..00000000 --- a/app/components/HowCanIHelp/Volunteer.tsx +++ /dev/null @@ -1,10 +0,0 @@ -import './howcanihelp.css' - -export default function Volunteer() { - return ( -
-

Volunteer for AISafety.info

- {/* Add content for the Volunteer page */} -
- ) -} diff --git a/app/components/HowCanIHelp/index.tsx b/app/components/HowCanIHelp/index.tsx deleted file mode 100644 index 37ac8404..00000000 --- a/app/components/HowCanIHelp/index.tsx +++ /dev/null @@ -1,15 +0,0 @@ -import Career from './Career' -import Grassroots from './Grassroots' -import Donate from './Donate' -import Volunteer from './Volunteer' -import Knowledge from './Knowledge' -import Community from './Community' - -export const howCanIHelpComponents = { - career: Career, - grassroots: Grassroots, - donate: Donate, - volunteer: Volunteer, - knowledge: Knowledge, - community: Community, -} diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index f60b9b97..9df67bac 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -1,25 +1,24 @@ import React from 'react' +import {ArrowUpRight} from '~/components/icons-generated' +import Button from '~/components/Button' import './linkcard.css' -import {ArrowUpRight} from '../icons-generated' -import Button from '../Button' -interface LinkCardProps { +export type Link = { title: string tag?: string action?: string - className?: string } -const LinkCard: React.FC = ({title, tag, action, className}) => { - className = `link-card ${className}` - - return ( - - ) +export type LinkCardProps = Link & { + className?: string } +const LinkCard: React.FC = ({title, tag, action, className}) => ( + +) + export default LinkCard diff --git a/app/routes/howcanihelp._index.tsx b/app/routes/how-can-i-help._index.tsx similarity index 100% rename from app/routes/howcanihelp._index.tsx rename to app/routes/how-can-i-help._index.tsx diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx new file mode 100644 index 00000000..a9f61b99 --- /dev/null +++ b/app/routes/how-can-i-help.career.tsx @@ -0,0 +1,447 @@ +import {Link} from '@remix-run/react' +import Page from '~/components/Page' +import {MetaFunction} from '@remix-run/node' +import CardSmall from '~/components/CardSmall' +import DropDown from '~/components/DropDown' +import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' +import HelpMethods from '~/components/HowCanIHelp/HelpMethods' +import HelpItem from '~/components/HowCanIHelp/HelpItem' +import {helpUrl} from '~/routesMapper' +/* import './howcanihelp.css' */ + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +const ResearchPath = () => ( + <> +
+

+ AI alignment research +

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical challenge + of AI alignment through dedicated research, and then collaborate globally to carefully + deploy solutions. While experts believe alignment is solvable, it remains a complex + problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like OpenAI. +

+

+ *Note: Beware of the risk of joining "safety" teams, as this work often leaks to + non-safety parts of the organization which improves the AI technology itself—and so ends + up causing harm. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition +

+
+ +

The review takes about one hour and addresses:

+
    +
  • What this career path involves
    • +
  • How to predict your fit
    • +
  • The upsides and downsides of this career path
    • +
  • Compensation
    • +
  • How to enter or transition into this career
    • +
+ + +

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition. +

+

+ Note: 80,000 Hours does not accept all applicants. +

+ + + + AI safety is a relatively new field with diverse opinions on how best to solve the technical + challenge of AI alignment. Many unexplored avenues and important questions likely remain + unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think + independently and develop their own models on this topic. If you pursue a career in this + field, we recommend deeply educating yourself on the technical challenge of alignment, + engaging with other AI safety experts, and thinking critically about the topic and current + paradigms. + +
+ +
+ + + There are many roles that support the work of AI alignment researchers, and having + high-performing people in these roles is crucial. In a research organisation around half + of the staff will be doing other tasks essential for the organisation to perform at its + best and have an impact. Some of these roles include: + + + This involves overseeing the day-to-day activities that enable the organization to + function efficiently and effectively. Responsibilities may include administrative support, + resource allocation, HR, management of facilities, IT support, project coordination, etc. + + + This involves overseeing and coordinating research activities to ensure they align with + the mission of promoting safe AI development. Responsibilities include setting research + priorities, managing teams, allocating resources, fostering collaboration, monitoring + progress, and upholding ethical standards. + + + + This involves managing administrative tasks to enhance this person's productivity. + Responsibilities include scheduling meetings, handling correspondence, coordinating + travel, organizing events, and ensuring they can focus on impactful AI safety efforts. + + +
+ +) + +const GovernancePath = () => ( + <> +
+

+ AI governance & policy +

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical challenge + of AI alignment through dedicated research, and then collaborate globally to carefully + deploy solutions. While experts believe alignment is solvable, it remains a complex + problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like OpenAI. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+ +) + +const FieldBuildingPath = () => ( + <> +
+

+ AI safety field-building +

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical challenge + of AI alignment through dedicated research, and then collaborate globally to carefully + deploy solutions. While experts believe alignment is solvable, it remains a complex + problem that demands significant high-quality intellectual talent. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
+
+
+
+

Most common field-building roles

+ + + Communications involves educating the public or spreading the word about AI safety—most + typically through websites or social media. People with computer skills and creative skills + can typically find a place within communications. More specifically, roles could include + being an independent content producer, software engineering, project management, or design. + + + + There are many philanthropists interested in donating millions of dollars to AI safety—but + there currently aren't enough grantmakers able to vet funding proposals. Because a randomly + chosen proposal has little expected impact, grantmakers can have a large impact by helping + philanthropists distinguish promising projects in AI safety from less promising ones. + + + + Founding a new project in AI safety involves identifying a gap in a pressing problem area, + formulating a solution, investigating it, and then helping to build an organisation by + investing in strategy, hiring, management, culture, and so on—ideally building something + that can continue without you. + +
+
+ + + There are many roles that support the work of AI alignment researchers, and having + high-performing people in these roles is crucial. In a research organisation around half + of the staff will be doing other tasks essential for the organisation to perform at its + best and have an impact. Some of these roles include: + + + This involves overseeing the day-to-day activities that enable the organization to + function efficiently and effectively. Responsibilities may include administrative support, + resource allocation, HR, management of facilities, IT support, project coordination, etc. + + + + This involves overseeing and coordinating research activities to ensure they align with + the mission of promoting safe AI development. Responsibilities include setting research + priorities, managing teams, allocating resources, fostering collaboration, monitoring + progress, and upholding ethical standards. + + + + This involves managing administrative tasks to enhance this person's productivity. + Responsibilities include scheduling meetings, handling correspondence, coordinating + travel, organizing events, and ensuring they can focus on impactful AI safety efforts. + + +

Other technical roles

+ + + Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse justo magna. + Suspendisse nunc id lacus sit interdum sit. + + + + Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse justo magna. + Suspendisse nunc id lacus sit interdum sit. + + +
+ +) + +const CareerPaths = () => ( + <> +

There are 3 major career paths in AI safety:

+
+ + + +
+ +) + +export default function HowCanIHelp() { + return ( + +
+
+ How can I help with AI Safety? +
+ +
+

Start a career

+ + + + + + + + + +
+
+ + ) +} diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx new file mode 100644 index 00000000..a7d8666e --- /dev/null +++ b/app/routes/how-can-i-help.community.tsx @@ -0,0 +1,10 @@ +import {MetaFunction} from '@remix-run/node' +import Base from '~/components/HowCanIHelp/Base' + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +export default function Community() { + return +} diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx new file mode 100644 index 00000000..5e56ab7e --- /dev/null +++ b/app/routes/how-can-i-help.donate.tsx @@ -0,0 +1,10 @@ +import {MetaFunction} from '@remix-run/node' +import Base from '~/components/HowCanIHelp/Base' + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +export default function Donate() { + return +} diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx new file mode 100644 index 00000000..c6bbc87d --- /dev/null +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -0,0 +1,10 @@ +import {MetaFunction} from '@remix-run/node' +import Base from '~/components/HowCanIHelp/Base' + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +export default function Grassroots() { + return +} diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx new file mode 100644 index 00000000..18d12081 --- /dev/null +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -0,0 +1,10 @@ +import {MetaFunction} from '@remix-run/node' +import Base from '~/components/HowCanIHelp/Base' + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +export default function Knowledge() { + return +} diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx new file mode 100644 index 00000000..678ffe15 --- /dev/null +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -0,0 +1,10 @@ +import {MetaFunction} from '@remix-run/node' +import Base from '~/components/HowCanIHelp/Base' + +export const meta: MetaFunction = () => { + return [{title: 'How Can I Help? - AISafety.info'}] +} + +export default function Volunteer() { + return +} diff --git a/app/routes/howcanihelp.$page.tsx b/app/routes/howcanihelp.$page.tsx deleted file mode 100644 index f7984994..00000000 --- a/app/routes/howcanihelp.$page.tsx +++ /dev/null @@ -1,28 +0,0 @@ -import {Link, useParams} from '@remix-run/react' -import Page from '~/components/Page' -import {howCanIHelpComponents} from '~/components/HowCanIHelp' -import {MetaFunction} from '@remix-run/node' - -export const meta: MetaFunction = () => { - return [{title: 'How Can I Help? - AISafety.info'}] -} - -export default function HowCanIHelp() { - const {page} = useParams() - const Component = howCanIHelpComponents[page as keyof typeof howCanIHelpComponents] - - if (!Component) { - return
Page not found
- } - - return ( - -
-
- How can I help with AI Safety? -
- -
- - ) -} diff --git a/app/routesMapper.ts b/app/routesMapper.ts index fb6c15ef..408e9e7b 100644 --- a/app/routesMapper.ts +++ b/app/routesMapper.ts @@ -17,3 +17,14 @@ export const tagUrl = ({tagId, name}: {tagId?: number | string; name: string}) = tagId ? `/categories/${tagId}/${name}` : `/categories/${name}` export const tagsUrl = () => `/categories/` export const allTagsUrl = () => `/categories/all` + +const helpPages = { + career: 'career', + grassroots: 'grassroots', + donate: 'donate', + volunteer: 'volunteer', + knowledge: 'knowledge', + community: 'community', +} +export type HelpPage = keyof typeof helpPages +export const helpUrl = (name?: HelpPage) => `/how-can-i-help/${name ? helpPages[name] || name : ''}` From d96a0a26b512755ac2e885209a745e95bd9ff884 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Fri, 18 Oct 2024 20:06:34 +0200 Subject: [PATCH 010/106] Articles carousel --- app/components/Article/index.tsx | 10 +- .../HowCanIHelp/CatgoryCarousel.tsx | 63 +++++++++++ .../HowCanIHelp/category-carousel.css | 43 ++++++++ app/routes/how-can-i-help.career.tsx | 100 ++++++++++-------- app/routes/questions.toc.ts | 4 +- app/server-utils/stampy.ts | 56 ++++++---- stories/ArticlesNav.stories.ts | 16 +++ stories/Grid.stories.tsx | 8 ++ stories/MobileNav.stories.tsx | 17 +++ stories/Nav.stories.ts | 16 +++ 10 files changed, 261 insertions(+), 72 deletions(-) create mode 100644 app/components/HowCanIHelp/CatgoryCarousel.tsx create mode 100644 app/components/HowCanIHelp/category-carousel.css diff --git a/app/components/Article/index.tsx b/app/components/Article/index.tsx index 9da76bf9..c268b804 100644 --- a/app/components/Article/index.tsx +++ b/app/components/Article/index.tsx @@ -89,14 +89,14 @@ const ArticleActions = ({answerEditLink}: Question) => { ) } +export const ttr = (text: string, rate = 160) => { + const time = text.split(' ') + return Math.ceil(time.length / rate) // ceil to avoid "0 min read" +} + const ArticleMeta = ({question, className}: {question: Question; className?: string}) => { const {text} = question - const ttr = (text: string, rate = 160) => { - const time = text.split(' ') - return Math.ceil(time.length / rate) // ceil to avoid "0 min read" - } - return ( !isLoading(question) && (
diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx new file mode 100644 index 00000000..85d3a76c --- /dev/null +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -0,0 +1,63 @@ +import {useEffect, useRef, useState} from 'react' +import useToC from '~/hooks/useToC' +import {PageId} from '~/server-utils/stampy' +import Button from '~/components/Button' +import './category-carousel.css' +import {ArrowRight} from '~/components/icons-generated' +import {questionUrl} from '~/routesMapper' + +const PER_BOX = 320 + +const CategoryCarousel = ({title, category}: {title: string; category: PageId}) => { + const componentRef = useRef(null) + const [shown, setShown] = useState(0) + const [offset, setOffset] = useState(0) + const {findSection} = useToC() + + useEffect(() => { + const updateWidth = () => { + if (componentRef.current) { + const {width} = componentRef.current.getBoundingClientRect() + console.log(width, Math.round(width / PER_BOX)) + setShown(Math.floor(width / PER_BOX)) + } + } + + updateWidth() + window.addEventListener('resize', updateWidth) + return () => window.removeEventListener('resize', updateWidth) + }, []) + + const section = findSection(category) + console.log(section) + return ( +
+
+

{title}

+
+ + +
+
+
+ {section?.children?.slice(offset, offset + shown).map((child) => ( + + ))} +
+
+ ) +} +export default CategoryCarousel diff --git a/app/components/HowCanIHelp/category-carousel.css b/app/components/HowCanIHelp/category-carousel.css new file mode 100644 index 00000000..9e9b6a73 --- /dev/null +++ b/app/components/HowCanIHelp/category-carousel.css @@ -0,0 +1,43 @@ +.carousel { + background-color: var(--colors-teal-50); + padding: var(--spacing-40); + margin-top: var(--spacing-80); +} + +.carousel-header { + display: flex; + justify-content: space-between; + align-items: end; + margin-bottom: var(--spacing-32); +} + +.carousel .navigation { + display: flex; + gap: 10px; +} + +.carousel .navigation .button { + padding: var(--spacing-8); +} + +.carousel h2 { + max-width: 550px; +} + +.carousel .items { + display: flex; + height: 230px; + gap: var(--spacing-32); +} + +.carousel-item { + flex: 1; + flex-direction: column; + align-items: start; + justify-content: start; + width: 100%; + max-width: 300px; + height: 230px; + padding: var(--spacing-40); + text-align: left; +} diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index a9f61b99..d5ac9bec 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -7,6 +7,7 @@ import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-ge import HelpMethods from '~/components/HowCanIHelp/HelpMethods' import HelpItem from '~/components/HowCanIHelp/HelpItem' import {helpUrl} from '~/routesMapper' +import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' /* import './howcanihelp.css' */ export const meta: MetaFunction = () => { @@ -172,56 +173,64 @@ const ResearchPath = () => ( travel, organizing events, and ensuring they can focus on impactful AI safety efforts. + +
) const GovernancePath = () => ( - <> -
-

- AI governance & policy -

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior so - that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical challenge - of AI alignment through dedicated research, and then collaborate globally to carefully - deploy solutions. While experts believe alignment is solvable, it remains a complex - problem that demands significant high-quality intellectual talent. -

-
-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like OpenAI. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
+
+

+ AI governance & policy +

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate safely + and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended behaviors + or misalignment with human values—we must first solve the technical challenge of AI + alignment through dedicated research, and then collaborate globally to carefully deploy + solutions. While experts believe alignment is solvable, it remains a complex problem that + demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI safety + and alignment; in academia (i.e. universities and academic institutions); independently; + or on industry safety teams*, usually at major AI companies like OpenAI. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems logically, + hypothesizing, and testing various solutions with high attention to detail. +

- + + +
) const FieldBuildingPath = () => ( @@ -389,6 +398,11 @@ const FieldBuildingPath = () => (
+ + ) diff --git a/app/routes/questions.toc.ts b/app/routes/questions.toc.ts index dd1d3f3a..0ee02132 100644 --- a/app/routes/questions.toc.ts +++ b/app/routes/questions.toc.ts @@ -17,6 +17,7 @@ export type TOCItem = { children?: TOCItem[] category?: Category order: number + ttr: number } type LoaderResp = { data: TOCItem[] @@ -33,8 +34,9 @@ const getCategory = (tags: string[]): Category => { const byOrder = (a: TOCItem, b: TOCItem) => a.order - b.order const formatQuestion = (level: number) => - ({title, pageid, subtitle, icon, children, text, tags, order}: Question): TOCItem => ({ + ({title, pageid, subtitle, icon, children, text, tags, order, ttr}: Question): TOCItem => ({ title, + ttr, subtitle: subtitle ? subtitle : undefined, pageid, icon: icon ? icon : undefined, diff --git a/app/server-utils/stampy.ts b/app/server-utils/stampy.ts index 6fb80eb4..b9067d43 100644 --- a/app/server-utils/stampy.ts +++ b/app/server-utils/stampy.ts @@ -83,6 +83,7 @@ export type Question = { parents?: string[] children?: Question[] order?: number + ttr: number } export type PageId = Question['pageid'] export type NewQuestion = { @@ -263,6 +264,11 @@ const renderText = (pageid: PageId, markdown: string | null): string | null => { return html } +export const ttr = (text: string, rate = 160) => { + const time = text.split(' ') + return Math.ceil(time.length / rate) // ceil to avoid "0 min read" +} + // Icons can be returned as strings or objects const extractIcon = (val?: string | string[] | Entity | Entity[]): string | undefined => { if (!val) return val @@ -286,29 +292,33 @@ const extractJoined = (values: Entity[], mapper: Record) => .map((name) => (mapper && mapper[name]) || {name}) .filter((i) => i) -const convertToQuestion = ({name, values, updatedAt} = {} as AnswersRow): Question => ({ - title: name, - pageid: extractText(values['UI ID']), - text: renderText(extractText(values['UI ID']), values['Rich Text']), - markdown: extractText(values['Rich Text']), - answerEditLink: extractLink(values['Edit Answer']).replace(/\?.*$/, ''), - tags: extractJoined(values['Tags'] || [], allTags).map((t) => t.name), - banners: extractJoined(values['Banners'] || [], allBanners), - relatedQuestions: - values['Related Answers'] && values['Related IDs'] - ? values['Related Answers'].map(({name}, i) => ({ - title: name, - pageid: extractText(values['Related IDs'][i]), - })) - : [], - status: values['Status']?.name as QuestionStatus, - alternatePhrasings: extractText(values['Alternate Phrasings']), - subtitle: extractText(values.Subtitle), - icon: extractIcon(values.Icon), - parents: !values.Parents ? [] : values.Parents?.map(({name}) => name), - updatedAt: updatedAt || values['Doc Last Edited'], - order: values.Order || 0, -}) +const convertToQuestion = ({name, values, updatedAt} = {} as AnswersRow): Question => { + const markdown = extractText(values['Rich Text']) + return { + title: name, + pageid: extractText(values['UI ID']), + text: renderText(extractText(values['UI ID']), values['Rich Text']), + markdown: markdown, + ttr: markdown ? ttr(markdown) : 0, + answerEditLink: extractLink(values['Edit Answer']).replace(/\?.*$/, ''), + tags: extractJoined(values['Tags'] || [], allTags).map((t) => t.name), + banners: extractJoined(values['Banners'] || [], allBanners), + relatedQuestions: + values['Related Answers'] && values['Related IDs'] + ? values['Related Answers'].map(({name}, i) => ({ + title: name, + pageid: extractText(values['Related IDs'][i]), + })) + : [], + status: values['Status']?.name as QuestionStatus, + alternatePhrasings: extractText(values['Alternate Phrasings']), + subtitle: extractText(values.Subtitle), + icon: extractIcon(values.Icon), + parents: !values.Parents ? [] : values.Parents?.map(({name}) => name), + updatedAt: updatedAt || values['Doc Last Edited'], + order: values.Order || 0, + } +} export const loadQuestionDetail = withCache('questionDetail', async (question: string) => { // Make sure all tags are loaded. This shouldn't be needed often, as it's double cached diff --git a/stories/ArticlesNav.stories.ts b/stories/ArticlesNav.stories.ts index 461f1988..0236fb33 100644 --- a/stories/ArticlesNav.stories.ts +++ b/stories/ArticlesNav.stories.ts @@ -16,6 +16,7 @@ const article = { title: 'New to AI safety? Start here.', subtitle: 'Basic information about all of this', pageid: '9OGZ', + ttr: 2, icon: '/assets/coded-banner.svg', hasText: true, order: 0, @@ -24,29 +25,34 @@ const article = { title: 'What would an AGI be able to do?', pageid: 'NH51', hasText: false, + ttr: 1, order: 0, }, { title: 'Types of AI', pageid: 'NH50', hasText: false, + ttr: 1, order: 0, children: [ { title: 'What are the differences between AGI, transformative AI, and superintelligence?', pageid: '5864', hasText: true, + ttr: 1, order: 0, }, { title: 'What is intelligence?', pageid: '6315', hasText: true, + ttr: 1, order: 0, }, { title: 'What is artificial general intelligence (AGI)?', pageid: '2374', + ttr: 1, hasText: true, order: 0, }, @@ -54,12 +60,14 @@ const article = { title: 'What is "superintelligence"?', pageid: '6207', hasText: true, + ttr: 1, order: 0, }, { title: 'What is artificial intelligence (AI)?', pageid: '8G1H', hasText: true, + ttr: 1, order: 0, }, ], @@ -68,18 +76,21 @@ const article = { title: 'Introduction to ML', pageid: 'NH50', hasText: false, + ttr: 1, order: 0, children: [ { title: 'What are large language models?', pageid: '8161', hasText: true, + ttr: 1, order: 0, }, { title: 'What is compute?', pageid: '9358', hasText: true, + ttr: 1, order: 0, }, ], @@ -88,30 +99,35 @@ const article = { title: 'Introduction to AI Safety', pageid: 'NH53', hasText: false, + ttr: 1, order: 0, children: [ { title: 'Why would an AI do bad things?', pageid: '2400', hasText: true, + ttr: 1, order: 0, }, { title: 'How likely is extinction from superintelligent AI?', pageid: '7715', hasText: true, + ttr: 1, order: 0, }, { title: 'What is AI safety?', pageid: '8486', hasText: true, + ttr: 1, order: 0, }, { title: 'Why is safety important for smarter-than-human AI?', pageid: '6297', hasText: true, + ttr: 1, order: 0, }, ], diff --git a/stories/Grid.stories.tsx b/stories/Grid.stories.tsx index 9d8631cb..b700b141 100644 --- a/stories/Grid.stories.tsx +++ b/stories/Grid.stories.tsx @@ -8,6 +8,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section1', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 0, }, { @@ -16,6 +17,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section2', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 0, }, { @@ -24,6 +26,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section3', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 0, }, { @@ -32,6 +35,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section4', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 0, }, { @@ -40,6 +44,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section5', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 0, }, { @@ -48,6 +53,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section6', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 10, }, { @@ -56,6 +62,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section7', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 20, }, { @@ -64,6 +71,7 @@ const toc = [ icon: 'https://cataas.com/cat/says/section8', pageid: 'https://google.com', hasText: true, + ttr: 1, order: 30, }, ] diff --git a/stories/MobileNav.stories.tsx b/stories/MobileNav.stories.tsx index 7cc11561..e68b92d9 100644 --- a/stories/MobileNav.stories.tsx +++ b/stories/MobileNav.stories.tsx @@ -86,12 +86,14 @@ export const Primary: Story = { hasText: true, category: 'Introductory', order: 0, + ttr: 1, children: [ { title: 'What would an AGI be able to do?', pageid: 'NH50', category: 'Introductory', hasText: false, + ttr: 1, order: 0, }, { @@ -100,36 +102,42 @@ export const Primary: Story = { category: 'Introductory', hasText: false, order: 0, + ttr: 1, children: [ { title: 'What are the differences between AGI, transformative AI, and superintelligence?', pageid: '5864', hasText: true, + ttr: 1, order: 0, }, { title: 'What is intelligence?', pageid: '6315', hasText: true, + ttr: 1, order: 12, }, { title: 'What is artificial general intelligence (AGI)?', pageid: '2374', hasText: true, + ttr: 1, order: 14, }, { title: 'What is "superintelligence"?', pageid: '6207', hasText: true, + ttr: 1, order: 15, }, { title: 'What is artificial intelligence (AI)?', pageid: '8G1H', hasText: true, + ttr: 1, order: 17, }, ], @@ -140,17 +148,20 @@ export const Primary: Story = { hasText: false, category: 'Introductory', order: 13, + ttr: 1, children: [ { title: 'What are large language models?', pageid: '8161', hasText: true, + ttr: 1, order: 1, }, { title: 'What is compute?', pageid: '9358', hasText: true, + ttr: 1, order: 15, }, ], @@ -160,29 +171,34 @@ export const Primary: Story = { pageid: 'NH50', hasText: false, order: 1, + ttr: 1, children: [ { title: 'Why would an AI do bad things?', pageid: '2400', hasText: true, order: 1, + ttr: 1, }, { title: 'How likely is extinction from superintelligent AI?', pageid: '7715', hasText: true, + ttr: 1, order: 1, }, { title: 'What is AI safety?', pageid: '8486', hasText: true, + ttr: 1, order: 1, }, { title: 'Why is safety important for smarter-than-human AI?', pageid: '6297', hasText: true, + ttr: 1, order: 51, }, ], @@ -194,6 +210,7 @@ export const Primary: Story = { subtitle: 'Basic information about all of this', pageid: '9OGZ', hasText: true, + ttr: 1, category: 'Introductory', order: 1, }, diff --git a/stories/Nav.stories.ts b/stories/Nav.stories.ts index 81bf316e..5c55f49f 100644 --- a/stories/Nav.stories.ts +++ b/stories/Nav.stories.ts @@ -81,6 +81,7 @@ export const Primary: Story = { subtitle: 'Basic information about all of this', pageid: '9OGZ', hasText: true, + ttr: 1, order: 0, children: [ { @@ -88,42 +89,49 @@ export const Primary: Story = { pageid: 'NH50', hasText: false, order: 0, + ttr: 1, }, { title: 'Types of AI', pageid: 'NH50', hasText: false, order: 0, + ttr: 1, children: [ { title: 'What are the differences between AGI, transformative AI, and superintelligence?', pageid: '5864', hasText: true, + ttr: 1, order: 0, }, { title: 'What is intelligence?', pageid: '6315', hasText: true, + ttr: 1, order: 12, }, { title: 'What is artificial general intelligence (AGI)?', pageid: '2374', hasText: true, + ttr: 1, order: 14, }, { title: 'What is "superintelligence"?', pageid: '6207', hasText: true, + ttr: 1, order: 15, }, { title: 'What is artificial intelligence (AI)?', pageid: '8G1H', hasText: true, + ttr: 1, order: 17, }, ], @@ -133,17 +141,20 @@ export const Primary: Story = { pageid: 'NH50', hasText: false, order: 13, + ttr: 1, children: [ { title: 'What are large language models?', pageid: '8161', hasText: true, + ttr: 1, order: 1, }, { title: 'What is compute?', pageid: '9358', hasText: true, + ttr: 1, order: 15, }, ], @@ -152,30 +163,35 @@ export const Primary: Story = { title: 'Introduction to AI Safety', pageid: 'NH50', hasText: false, + ttr: 1, order: 1, children: [ { title: 'Why would an AI do bad things?', pageid: '2400', hasText: true, + ttr: 1, order: 1, }, { title: 'How likely is extinction from superintelligent AI?', pageid: '7715', hasText: true, + ttr: 1, order: 1, }, { title: 'What is AI safety?', pageid: '8486', hasText: true, + ttr: 1, order: 1, }, { title: 'Why is safety important for smarter-than-human AI?', pageid: '6297', hasText: true, + ttr: 1, order: 51, }, ], From 4e4f3909802784fd4a563715ec8d1220e8b6582e Mon Sep 17 00:00:00 2001 From: Myles Date: Sun, 20 Oct 2024 12:21:24 -0400 Subject: [PATCH 011/106] Styling fixes --- app/components/Button/index.tsx | 2 +- app/components/HowCanIHelp/Career.tsx | 650 ------------------ app/components/HowCanIHelp/HelpItem.tsx | 11 +- .../HowCanIHelp/category-carousel.css | 2 +- app/routes/how-can-i-help.career.tsx | 258 +++++-- 5 files changed, 227 insertions(+), 696 deletions(-) delete mode 100644 app/components/HowCanIHelp/Career.tsx diff --git a/app/components/Button/index.tsx b/app/components/Button/index.tsx index cf5408fe..3f40b2a0 100644 --- a/app/components/Button/index.tsx +++ b/app/components/Button/index.tsx @@ -48,7 +48,7 @@ const Button = ({ const LinkComponent = !action.startsWith('http') ? Link : ({to, children, ...props}: {[k: string]: any}) => ( - + {children} ) diff --git a/app/components/HowCanIHelp/Career.tsx b/app/components/HowCanIHelp/Career.tsx deleted file mode 100644 index ab5dbba5..00000000 --- a/app/components/HowCanIHelp/Career.tsx +++ /dev/null @@ -1,650 +0,0 @@ -import Card from '../Card' -import CardSmall from '../CardSmall' -import DropDown from '../DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '../icons-generated' -import LinkCard from '../LinkCard' -import Testimonial from '../Testimonial' -import './howcanihelp.css' - -export default function Career() { - return ( -
-

Start a career

-

There are 3 major career paths in AI safety:

-
- - - -
-
-

AI alignment research

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like - OpenAI. -

-

- *Note: Beware of the risk of joining "safety" - teams, as this work often leaks to non-safety parts of the organization which improves - the AI technology itself—and so ends up causing harm. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-
-

Interested in pursuing this career path?

-

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition -

-
-
-
-

- Read the 80,000 Hours Technical AI Safety Career Review -

-

-

The review takes about one hour and addresses:

-
    -
  • What this career path involves
    • -
  • How to predict your fit
    • -
  • The upsides and downsides of this career path
    • -
  • Compensation
    • -
  • How to enter or transition into this career
    • -
-

-
- -
-
-
-

- Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) -

-

- Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will - address your specific questions about the field, confirm your interest and fit, and - provide tailored recommendations to help you make the transition. -

-

- Note: 80,000 Hours does not accept all applicants. -

-
-
- -
- -
-
-
-
-

- A process note: Form your own understanding of the AI alignment technical challenge -

-

- AI safety is a relatively new field with diverse opinions on how best to solve the - technical challenge of AI alignment. Many unexplored avenues and important questions - likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment - researchers to think independently and develop their own models on this topic. If you - pursue a career in this field, we recommend deeply educating yourself on the technical - challenge of alignment, engaging with other AI safety experts, and thinking critically - about the topic and current paradigms. -

-
-
- -
- -
-
-
-
- -
-

- There are many roles that support the work of AI alignment researchers, and having - high-performing people in these roles is crucial. In a research organisation - around half of the staff will be doing other tasks essential for the organisation - to perform at its best and have an impact. Some of these roles include: -

-
-
-
-

- Operations management at an AI safety research organization -

-

- This involves overseeing the day-to-day activities that enable the organization - to function efficiently and effectively. Responsibilities may include - administrative support, resource allocation, HR, management of facilities, IT - support, project coordination, etc. -

-
-
- -
-
-
-
-

- Research management AI safety research organization -

-

- This involves overseeing and coordinating research activities to ensure they - align with the mission of promoting safe AI development. Responsibilities - include setting research priorities, managing teams, allocating resources, - fostering collaboration, monitoring progress, and upholding ethical standards. -

-
-
- -
-
-
-
-

- Being an executive assistant to an AI safety researcher -

-

- This involves managing administrative tasks to enhance this person’s - productivity. Responsibilities include scheduling meetings, handling - correspondence, coordinating travel, organizing events, and ensuring they can - focus on impactful AI safety efforts. -

-
-
- -
-
-
- } - /> -
-
- - -
-
-

AI governance & policy

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like - OpenAI. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-
-

Interested in pursuing this career path?

-

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition -

-
-
-
-

- Read the 80,000 Hours Technical AI Safety Career Review -

-

-

The review takes about one hour and addresses:

-
    -
  • What this career path involves
    • -
  • How to predict your fit
    • -
  • The upsides and downsides of this career path
    • -
  • Compensation
    • -
  • How to enter or transition into this career
    • -
-

-
- -
-
-
-

- Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) -

-

- Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will - address your specific questions about the field, confirm your interest and fit, and - provide tailored recommendations to help you make the transition. -

-

- Note: 80,000 Hours does not accept all applicants. -

-
-
- -
- -
-
-
-
-

- A process note: Form your own understanding of the AI alignment technical challenge -

-

- AI safety is a relatively new field with diverse opinions on how best to solve the - technical challenge of AI alignment. Many unexplored avenues and important questions - likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment - researchers to think independently and develop their own models on this topic. If you - pursue a career in this field, we recommend deeply educating yourself on the technical - challenge of alignment, engaging with other AI safety experts, and thinking critically - about the topic and current paradigms. -

-
-
- -
- -
-
-
-
- - -
-
-

AI safety field-building

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior - so that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. -

-
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical - challenge of AI alignment through dedicated research, and then collaborate globally to - carefully deploy solutions. While experts believe alignment is solvable, it remains a - complex problem that demands significant high-quality intellectual talent. -

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. -

-
-
-
-
-

Most common field-building roles

-
-
-

Communications & advocacy

-

- Communications involves educating the public or spreading the word about AI - safety—most typically through websites or social media. People with computer skills - and creative skills can typically find a place within communications. More - specifically, roles could include being an independent content producer, software - engineering, project management, or design. -

-
-
- -
-
-
-
-

Being a grantmaker

-

- There are many philanthropists interested in donating millions of dollars to AI - safety—but there currently aren’t enough grantmakers able to vet funding proposals. - Because a randomly chosen proposal has little expected impact, grantmakers can have a - large impact by helping philanthropists distinguish promising projects in AI safety - from less promising ones. -

-
-
- -
-
-
-
-

Founding new projects

-

- Founding a new project in AI safety involves identifying a gap in a pressing problem - area, formulating a solution, investigating it, and then helping to build an - organisation by investing in strategy, hiring, management, culture, and so on—ideally - building something that can continue without you. -

-
-
- -
-
-
-
- -
-

Supporting roles

-
-

- There are many roles that support the work of AI alignment researchers, and - having high-performing people in these roles is crucial. In a research - organisation around half of the staff will be doing other tasks essential for - the organisation to perform at its best and have an impact. Some of these roles - include: -

-
-
-
-

- Operations management at an AI safety research organization -

-

- This involves overseeing the day-to-day activities that enable the - organization to function efficiently and effectively. Responsibilities may - include administrative support, resource allocation, HR, management of - facilities, IT support, project coordination, etc. -

-
-
- -
-
-
-
-

- Research management AI safety research organization -

-

- This involves overseeing and coordinating research activities to ensure they - align with the mission of promoting safe AI development. Responsibilities - include setting research priorities, managing teams, allocating resources, - fostering collaboration, monitoring progress, and upholding ethical standards. -

-
-
- -
-
-
-
-

- Being an executive assistant to an AI safety researcher -

-

- This involves managing administrative tasks to enhance this person’s - productivity. Responsibilities include scheduling meetings, handling - correspondence, coordinating travel, organizing events, and ensuring they can - focus on impactful AI safety efforts. -

-
-
- -
-
-
-
-

Other technical roles

-
-
-

- Working in information security to protect AI (or the results of key - experiments) from misuse, theft, or tampering -

-

- Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse - justo magna. Suspendisse nunc id lacus sit interdum sit. -

-
-
- -
-
-
-
-

- Becoming an expert in AI hardware as a way of steering AI progress in safer - directions -

-

- Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse - justo magna. Suspendisse nunc id lacus sit interdum sit. -

-
-
- -
-
-
-
- } - /> -
-
-
-

Interested in pursuing this career path?

-

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition -

-
-
-
-

- Sign up for 1-on-1 career advice with AI Safety Quest & 80,000 Hours (free) -

-

- Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will - address your specific questions about the field, confirm your interest and fit, and - provide tailored recommendations to help you make the transition. -

-

- Note: 80,000 Hours does not accept all applicants. -

-
-
- -
- -
-
-
-
-

- A process note: Form your own understanding of the AI alignment technical challenge -

-

- AI safety is a relatively new field with diverse opinions on how best to solve the - technical challenge of AI alignment. Many unexplored avenues and important questions - likely remain unaddressed. Therefore, it's crucial for (aspiring) AI alignment - researchers to think independently and develop their own models on this topic. If you - pursue a career in this field, we recommend deeply educating yourself on the technical - challenge of alignment, engaging with other AI safety experts, and thinking critically - about the topic and current paradigms. -

-
-
- -
- -
-
-
-
- -
-
-

- Multiply your impact:
Support your career pursuit -

-
- - -
-

Or, explore more ways to help directly

-
- - - -
-
-
- ) -} diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index 375fb23e..45ad7be0 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -5,16 +5,21 @@ type HelpItemProps = { title?: ReactNode children: ReactNode links?: Link[] + titleFont?: 'large-bold' | 'default-bold' } -const HelpItem = ({title, children, links}: HelpItemProps) => { +const HelpItem = ({title, children, links, titleFont = 'large-bold'}: HelpItemProps) => { return (
- {title &&

{title}

} + {title &&

{title}

}

{children}

- {links?.map((link) => )} + {links?.map((link) => ( +
+ +
+ ))}
) diff --git a/app/components/HowCanIHelp/category-carousel.css b/app/components/HowCanIHelp/category-carousel.css index 9e9b6a73..e7a10a03 100644 --- a/app/components/HowCanIHelp/category-carousel.css +++ b/app/components/HowCanIHelp/category-carousel.css @@ -36,7 +36,7 @@ align-items: start; justify-content: start; width: 100%; - max-width: 300px; + max-width: 400px; height: 230px; padding: var(--spacing-40); text-align: left; diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index d5ac9bec..5fc7f814 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -8,6 +8,7 @@ import HelpMethods from '~/components/HowCanIHelp/HelpMethods' import HelpItem from '~/components/HowCanIHelp/HelpItem' import {helpUrl} from '~/routesMapper' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' +import Testimonial from '~/components/Testimonial' /* import './howcanihelp.css' */ export const meta: MetaFunction = () => { @@ -48,10 +49,10 @@ const ResearchPath = () => ( safety and alignment; in academia (i.e. universities and academic institutions); independently; or on industry safety teams*, usually at major AI companies like OpenAI.

-

- *Note: Beware of the risk of joining "safety" teams, as this work often leaks to - non-safety parts of the organization which improves the AI technology itself—and so ends - up causing harm. +

+ *Note: Beware of the risk of joining "safety" teams, + as this work often leaks to non-safety parts of the organization which improves the AI + technology itself—and so ends up causing harm.

@@ -64,7 +65,8 @@ const ResearchPath = () => (
-
+ +

Interested in pursuing this career path?

@@ -78,6 +80,7 @@ const ResearchPath = () => ( { tag: 'Top recommendation', title: 'Technical AI Safety Career Review', + action: 'https://80000hours.org/career-reviews/ai-safety-researcher/', }, ]} > @@ -95,9 +98,11 @@ const ResearchPath = () => ( links={[ { title: 'Book your AI Safety Quest call', + action: 'https://aisafety.quest/#calls', }, { title: 'Book your 80,000 Hours call', + action: 'https://80000hours.org/speak-with-us/', }, ]} > @@ -173,7 +178,28 @@ const ResearchPath = () => ( travel, organizing events, and ensuring they can focus on impactful AI safety efforts. +

+
+ + +
+ +
( const GovernancePath = () => (
-

- AI governance & policy -

-
-
-

What

-

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior so - that as these systems become more capable and autonomous, they continue to operate safely - and ethically within the intentions set by their human creators. -

+
+

+ AI governance & policy +

+
+
+

What

+

+ AI alignment research is the field dedicated to ensuring that advanced artificial + intelligence systems act in ways that are beneficial to humans and aligned with human + values and goals. It involves developing methods and principles to guide AI behavior so + that as these systems become more capable and autonomous, they continue to operate + safely and ethically within the intentions set by their human creators. +

+
+
+

Why this is important

+

+ To ensure humanity benefits from advanced AI and mitigates risks—like unintended + behaviors or misalignment with human values—we must first solve the technical challenge + of AI alignment through dedicated research, and then collaborate globally to carefully + deploy solutions. While experts believe alignment is solvable, it remains a complex + problem that demands significant high-quality intellectual talent. +

+
+
+

Where AI alignment researchers work

+

+ AI alignment researchers typically work at non-profit organizations dedicated to AI + safety and alignment; in academia (i.e. universities and academic institutions); + independently; or on industry safety teams*, usually at major AI companies like OpenAI. +

+
+
+

You might be a good fit if...

+

+ You might be a good fit as an AI alignment researcher if you have a quantitative + background, you enjoy programming, or you're skilled at breaking down problems + logically, hypothesizing, and testing various solutions with high attention to detail. +

+
-
-

Why this is important

-

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended behaviors - or misalignment with human values—we must first solve the technical challenge of AI - alignment through dedicated research, and then collaborate globally to carefully deploy - solutions. While experts believe alignment is solvable, it remains a complex problem that - demands significant high-quality intellectual talent. +

+ +
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition

-
-

Where AI alignment researchers work

-

- AI alignment researchers typically work at non-profit organizations dedicated to AI safety - and alignment; in academia (i.e. universities and academic institutions); independently; - or on industry safety teams*, usually at major AI companies like OpenAI. + +

The review takes about one hour and addresses:

+
    +
  • What this career path involves
    • +
  • How to predict your fit
    • +
  • The upsides and downsides of this career path
    • +
  • Compensation
    • +
  • How to enter or transition into this career
    • +
+ + +

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition.

-
-
-

You might be a good fit if...

-

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems logically, - hypothesizing, and testing various solutions with high attention to detail. +

+ Note: 80,000 Hours does not accept all applicants.

-
+ + + + AI safety is a relatively new field with diverse opinions on how best to solve the technical + challenge of AI alignment. Many unexplored avenues and important questions likely remain + unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think + independently and develop their own models on this topic. If you pursue a career in this + field, we recommend deeply educating yourself on the technical challenge of alignment, + engaging with other AI safety experts, and thinking critically about the topic and current + paradigms. + +
+ +
+ +
(
-
+ +

Most common field-building roles

( ( ( that can continue without you.
+
@@ -327,6 +443,7 @@ const FieldBuildingPath = () => ( best and have an impact. Some of these roles include: ( ( (

Other technical roles

( (
+
+
+

Interested in pursuing this career path?

+

+ Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition +

+
+ +

+ Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field, confirm your interest and fit, and + provide tailored recommendations to help you make the transition. +

+

+ Note: 80,000 Hours does not accept all applicants. +

+ + + + AI safety is a relatively new field with diverse opinions on how best to solve the technical + challenge of AI alignment. Many unexplored avenues and important questions likely remain + unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think + independently and develop their own models on this topic. If you pursue a career in this + field, we recommend deeply educating yourself on the technical challenge of alignment, + engaging with other AI safety experts, and thinking critically about the topic and current + paradigms. + +
+ +
+ +
+ Date: Sun, 20 Oct 2024 12:23:13 -0400 Subject: [PATCH 012/106] linting --- app/components/Button/index.tsx | 2 +- app/components/HowCanIHelp/HelpItem.tsx | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/app/components/Button/index.tsx b/app/components/Button/index.tsx index 3f40b2a0..53b2a91f 100644 --- a/app/components/Button/index.tsx +++ b/app/components/Button/index.tsx @@ -48,7 +48,7 @@ const Button = ({ const LinkComponent = !action.startsWith('http') ? Link : ({to, children, ...props}: {[k: string]: any}) => ( - + {children} ) diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index 45ad7be0..cd6dd050 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -16,8 +16,8 @@ const HelpItem = ({title, children, links, titleFont = 'large-bold'}: HelpItemPr
{links?.map((link) => ( -
- +
+
))}
From a16041c753a2dada9ba220ca8c12c24601110b5a Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Sun, 20 Oct 2024 18:35:17 +0200 Subject: [PATCH 013/106] Proper base --- app/components/HowCanIHelp/Base.tsx | 10 ++++++++- app/routes/how-can-i-help.career.tsx | 28 ++++++------------------ app/routes/how-can-i-help.community.tsx | 6 ++++- app/routes/how-can-i-help.donate.tsx | 6 ++++- app/routes/how-can-i-help.grassroots.tsx | 6 ++++- app/routes/how-can-i-help.knowledge.tsx | 6 ++++- app/routes/how-can-i-help.volunteer.tsx | 6 ++++- 7 files changed, 41 insertions(+), 27 deletions(-) diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index 8f7c8f23..2fdf389b 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -2,8 +2,14 @@ import {Link} from '@remix-run/react' import Page from '~/components/Page' import HelpMethods from '~/components/HowCanIHelp/HelpMethods' import {HelpPage, helpUrl} from '~/routesMapper' +import {ReactNode} from 'react' -export default function Base({title, subpage}: {title: string; subpage: HelpPage}) { +type BaseProps = { + title: string + subpage: HelpPage + children: ReactNode +} +export default function Base({title, subpage, children}: BaseProps) { return (
@@ -14,6 +20,8 @@ export default function Base({title, subpage}: {title: string; subpage: HelpPage

{title}

+ {children} +
diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index d5ac9bec..87f83e45 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -1,13 +1,10 @@ -import {Link} from '@remix-run/react' -import Page from '~/components/Page' import {MetaFunction} from '@remix-run/node' import CardSmall from '~/components/CardSmall' import DropDown from '~/components/DropDown' import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' -import HelpMethods from '~/components/HowCanIHelp/HelpMethods' import HelpItem from '~/components/HowCanIHelp/HelpItem' -import {helpUrl} from '~/routesMapper' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' +import Base from '~/components/HowCanIHelp/Base' /* import './howcanihelp.css' */ export const meta: MetaFunction = () => { @@ -437,25 +434,14 @@ const CareerPaths = () => ( export default function HowCanIHelp() { return ( - -
-
- How can I help with AI Safety? -
- -
-

Start a career

- + + - + - + - - - -
-
- + + ) } diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index a7d8666e..07d78217 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -6,5 +6,9 @@ export const meta: MetaFunction = () => { } export default function Community() { - return + return ( + +
fill me out, please
+ + ) } diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 5e56ab7e..6946da0d 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -6,5 +6,9 @@ export const meta: MetaFunction = () => { } export default function Donate() { - return + return ( + +
fill me out, please
+ + ) } diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index c6bbc87d..75cf52fd 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -6,5 +6,9 @@ export const meta: MetaFunction = () => { } export default function Grassroots() { - return + return ( + +
fill me out, please
+ + ) } diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 18d12081..c1734559 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -6,5 +6,9 @@ export const meta: MetaFunction = () => { } export default function Knowledge() { - return + return ( + +
fill me out, please
+ + ) } diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 678ffe15..1bc73101 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -6,5 +6,9 @@ export const meta: MetaFunction = () => { } export default function Volunteer() { - return + return ( + +
fill me out, please
+ + ) } From 103358f9c0d193645867931d4754013f0885f73d Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 21 Oct 2024 16:58:30 -0400 Subject: [PATCH 014/106] root CSS, careers page CSS --- app/components/CardSmall/cardsmall.css | 4 +- app/components/CardSmall/index.tsx | 6 +- app/components/HowCanIHelp/HelpItem.tsx | 6 +- app/components/HowCanIHelp/howcanihelp.css | 4 +- app/root.css | 254 +++++++++++++++------ app/routes/how-can-i-help.career.tsx | 58 ++--- 6 files changed, 232 insertions(+), 100 deletions(-) diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index e57d9d20..49effdc2 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -4,7 +4,7 @@ justify-content: start; display: flex; flex-direction: column; - background-color: var(--colors-cool-grey-100); + background-color: var(--colors-white); border: 1px solid var(--colors-cool-grey-200); border-radius: var(--border-radius); } @@ -22,4 +22,4 @@ justify-content: center; border-radius: var(--border-radius); flex-shrink: 0; -} +} \ No newline at end of file diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index 4ded3378..da1f1c85 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -19,15 +19,15 @@ export default function CardSmall({ className, iconColor = 'var(--colors-teal-50)', }: CardSmallProps) { - className = `card-small bordered ${className}` + className = `card-small bordered col-4 ${className}` return ( ) } diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index cd6dd050..bb69120f 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -9,12 +9,12 @@ type HelpItemProps = { } const HelpItem = ({title, children, links, titleFont = 'large-bold'}: HelpItemProps) => { return ( -
-
+
+
{title &&

{title}

}

{children}

-
+
{links?.map((link) => (
diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index d0ed5515..8c08de4f 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -1,4 +1,4 @@ -.howcanihelp-header { +/* .howcanihelp-header { display: grid; grid-template-columns: repeat(2, 1fr); } @@ -36,4 +36,4 @@ .section-split { grid-template-columns: 1fr; } -} +} */ diff --git a/app/root.css b/app/root.css index 03de5c73..719e3048 100644 --- a/app/root.css +++ b/app/root.css @@ -39,6 +39,7 @@ --spacing-40: clamp(24px, 2.78vw, 40px); --spacing-48: clamp(24px, 3.33vw, 48px); --spacing-56: clamp(24px, 3.89vw, 56px); + --spacing-64: clamp(32px, 4.45vw, 64px); --spacing-80: clamp(40px, 5.56vw, 80px); --spacing-104: clamp(56px, 7.22vw, 104px); --spacing-128: clamp(56px, 8.89vw, 128px); @@ -98,42 +99,59 @@ h2 { letter-spacing: -0.57px; } +/* typography tags */ + +h1 { + font-size: 56px; + font-weight: 500; + line-height: 125%; /* 80px */ + letter-spacing: -1.28px; +} + +h2 { + font-size: 38px; + font-weight: 500; + line-height: 130%; /* 49.4px */ + letter-spacing: -0.57px; +} + /* typography classes */ .large { - font-size: 18px; + font-size: 20px; font-weight: 300; line-height: 170%; /* 30.6px */ - letter-spacing: -0.18px; + letter-spacing: -0.44px; } .large-reading { - font-size: 18px; + font-size: 20px; font-weight: 300; line-height: 190%; /* 30.6px */ - letter-spacing: -0.18px; + letter-spacing: -0.44px; + /* this is only for the body of articles, don't use it anywhere else */ } .large-bold { - font-size: 18px; + font-size: 20px; font-weight: 500; line-height: 170%; /* 30.6px */ - letter-spacing: -0.18px; + letter-spacing: -0.44px; } .default { - font-size: 16px; + font-size: 18px; font-weight: 300; line-height: 170%; /* 27.2px */ - letter-spacing: -0.16px; + letter-spacing: -0.18px; /* only use if a parent has been assigned another typography class (otherwise this is defined in body) */ } .default-bold { - font-size: 16px; + font-size: 18px; font-weight: 500; line-height: 170%; /* 27.2px */ - letter-spacing: -0.16px; + letter-spacing: -0.18px; } .small { @@ -174,6 +192,7 @@ h2 { .leading-0 { line-height: 0 !important; } + /* color classes */ .black { @@ -373,53 +392,106 @@ h2 { /* width classes. please turn the grid on in figma and then define widths based on how many columns there are! */ /* note I may change these to vars later */ -.col-1 { - width: clamp(0px, 3.54vw, 53px); -} + /* standard grid - 1056px wide, 51px columns, 40px gutters */ + .col-1 { + width: 51px; + } -.col-2 { - width: clamp(0px, 9.93vw, 171px); -} + .col-2 { + width: 143px; + } -.col-3 { - width: clamp(0px, 16.25vw, 288px); -} + .col-3 { + width: 234px; + } -.col-4 { - width: clamp(0px, 22.57vw, 405px); -} + .col-4 { + width: 325px; + } -.col-5 { - width: clamp(0px, 28.96vw, 523px); -} + .col-5 { + width: 417px; + } -.col-6 { - width: clamp(270px, 35.28vw, 640px); -} + .col-6 { + width: 508px; + } -.col-7 { - width: clamp(0px, 41.6vw, 757px); -} + .col-7 { + width: 599px; + } -.col-8 { - width: clamp(0px, 47.99vw, 875px); -} + .col-8 { + width: 691px; + } -.col-9 { - width: clamp(0px, 54.31vw, 992px); -} + .col-9 { + width: 782px; + } -.col-10 { - width: clamp(300px, 60.62vw, 1109px); -} + .col-10 { + width: 873px; + } -.col-11 { - width: clamp(0px, 67.01vw, 1227px); -} + .col-11 { + width: 965px; + } -.col-12 { - width: clamp(0px, 73.33vw, 1344px); -} + .col-12 { + width: 1056px; + } + + /* Alternate grid for extra spacing between elements - 1056px wide, 29px columns, 64px gutters */ + + .col-1-alt { + width: 29px; + } + + .col-2-alt { + width: 123px; + } + + .col-3-alt { + width: 216px; + } + + .col-4-alt { + width: 309px; + } + + .col-5-alt { + width: 403px; + } + + .col-6-alt { + width: 496px; + } + + .col-7-alt { + width: 589px; + } + + .col-8-alt { + width: 683px; + } + + .col-9-alt { + width: 776px; + } + + .col-10-alt { + width: 869px; + } + + .col-11-alt { + width: 963px; + } + + .col-12-alt { + width: 1056px; + } + +/* etc width, height */ .full-width { width: 100%; @@ -430,6 +502,22 @@ h2 { min-height: 100%; } +/* flexbox */ + +.flexbox { + display: flex; + flex-direction: row; + flex-wrap: wrap; + gap: var(--spacing-40); +} + +.flexbox-alt { + display: flex; + flex-direction: row; + flex-wrap: wrap; + gap: var(--spacing-64); +} + /* z-index classes */ .z-index-1 { z-index: 1; @@ -543,6 +631,18 @@ svg { overflow: hidden; } +p, +textarea, +button { + font-family: Poppins; +} +.margin-top-40 { + margin-top: var(--spacing-40); +} +.relative { + position: relative; +} + /* for troubleshooting */ .pink { @@ -550,9 +650,10 @@ svg { background: pink !important; } -/* defines the standard left and right margins */ +/* defines the standard left and right margins on every page */ .page-body { - padding: 0px var(--spacing-128); + width: 1056px; + margin: 0 auto; } /* all other classes */ @@ -599,20 +700,54 @@ svg { border-radius: var(--border-radius); } +/* hide elements designed for only mobile on desktop */ + @media (min-width: 780px) { .mobile-only { display: none !important; } } +/* ---------------------------------------------------------------------------------------------------------------------------------- */ + /* mobile */ @media (max-width: 780px) { .page-body { - padding: 0px var(--spacing-48); + width: 87.2vw; } - /* typography tags */ + /* by default, all widths (.col-* and .col-*-alt) will transition to taking up full-width (87.2vw) on mobile */ + + .col-1, + .col-2, + .col-3, + .col-4, + .col-5, + .col-6, + .col-7, + .col-8, + .col-9, + .col-10, + .col-11, + .col-12, + .col-1-alt, + .col-2-alt, + .col-3-alt, + .col-4-alt, + .col-5-alt, + .col-6-alt, + .col-7-alt, + .col-8-alt, + .col-9-alt, + .col-10-alt, + .col-11-alt, + .col-12-alt { + width: 87.2vw; + } + + + /* typography tags for mobile */ h1 { font-size: 38px; @@ -630,7 +765,7 @@ svg { letter-spacing: -0.52px; } - /* typography classes */ + /* typography classes for mobile */ .large { font-size: 18px; @@ -656,7 +791,7 @@ svg { letter-spacing: -0.18px; } - /* other one-off classes */ + /* other one-off classes for mobile */ .desktop-only { display: none !important; @@ -684,15 +819,6 @@ svg { background-color: var(--colors-white); width: 85%; } -} /* end mobile */ -p, -textarea, -button { - font-family: Poppins; -} -.margin-top-40 { - margin-top: var(--spacing-40); -} -.relative { - position: relative; -} +} + +/* end mobile */ \ No newline at end of file diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 39141f1d..54575c37 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -18,8 +18,8 @@ const ResearchPath = () => (

AI alignment research

-
-
+
+

What

AI alignment research is the field dedicated to ensuring that advanced artificial @@ -29,7 +29,7 @@ const ResearchPath = () => ( safely and ethically within the intentions set by their human creators.

-
+

Why this is important

To ensure humanity benefits from advanced AI and mitigates risks—like unintended @@ -39,7 +39,7 @@ const ResearchPath = () => ( problem that demands significant high-quality intellectual talent.

-
+

Where AI alignment researchers work

AI alignment researchers typically work at non-profit organizations dedicated to AI @@ -52,7 +52,7 @@ const ResearchPath = () => ( technology itself—and so ends up causing harm.

-
+

You might be a good fit if...

You might be a good fit as an AI alignment researcher if you have a quantitative @@ -64,9 +64,9 @@ const ResearchPath = () => (

-
-

Interested in pursuing this career path?

-

+

+

Interested in pursuing this career path?

+

Take the following steps to (1) learn more & further assess your fit; (2) learn how to make the transition

@@ -177,7 +177,7 @@ const ResearchPath = () => (
-
+
( enim risus netus lacinia. Metus sit quis mollis est justo posuere dui potenti blandit. Velit enim integer a etiam vel. Nec gravida pulvinar congue integer leo mi euismod. Nulla in sit molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor." + className="col-6" /> ( description="Lorem ipsum dolor sit amet consectetur. Ultricies neque pellentesque sit sit diam. Magna enim risus netus lacinia. Metus sit quis mollis est justo posuere dui potenti blandit. Velit enim integer a etiam vel. Nec gravida pulvinar congue integer leo mi euismod. Nulla in sit + molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor. leo mi euismod. Nulla in sit molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor." + className="col-6" />
@@ -211,8 +214,8 @@ const GovernancePath = () => (

AI governance & policy

-
-
+
+

What

AI alignment research is the field dedicated to ensuring that advanced artificial @@ -222,7 +225,7 @@ const GovernancePath = () => ( safely and ethically within the intentions set by their human creators.

-
+

Why this is important

To ensure humanity benefits from advanced AI and mitigates risks—like unintended @@ -232,7 +235,7 @@ const GovernancePath = () => ( problem that demands significant high-quality intellectual talent.

-
+

Where AI alignment researchers work

AI alignment researchers typically work at non-profit organizations dedicated to AI @@ -240,7 +243,7 @@ const GovernancePath = () => ( independently; or on industry safety teams*, usually at major AI companies like OpenAI.

-
+

You might be a good fit if...

You might be a good fit as an AI alignment researcher if you have a quantitative @@ -252,9 +255,9 @@ const GovernancePath = () => (

-
-

Interested in pursuing this career path?

-

+

+

Interested in pursuing this career path?

+

Take the following steps to (1) learn more & further assess your fit; (2) learn how to make the transition

@@ -315,7 +318,7 @@ const GovernancePath = () => (
-
+
( enim risus netus lacinia. Metus sit quis mollis est justo posuere dui potenti blandit. Velit enim integer a etiam vel. Nec gravida pulvinar congue integer leo mi euismod. Nulla in sit molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor." + className="col-6" /> ( description="Lorem ipsum dolor sit amet consectetur. Ultricies neque pellentesque sit sit diam. Magna enim risus netus lacinia. Metus sit quis mollis est justo posuere dui potenti blandit. Velit enim integer a etiam vel. Nec gravida pulvinar congue integer leo mi euismod. Nulla in sit + molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor. leo mi euismod. Nulla in sit molestie ut velit ultricies justo nulla. Ipsum turpis purus tempor." + className="col-6" />
@@ -347,8 +353,8 @@ const FieldBuildingPath = () => (

AI safety field-building

-
-
+
+

What

AI alignment research is the field dedicated to ensuring that advanced artificial @@ -358,7 +364,7 @@ const FieldBuildingPath = () => ( safely and ethically within the intentions set by their human creators.

-
+

Why this is important

To ensure humanity benefits from advanced AI and mitigates risks—like unintended @@ -368,7 +374,7 @@ const FieldBuildingPath = () => ( problem that demands significant high-quality intellectual talent.

-
+

You might be a good fit if...

You might be a good fit as an AI alignment researcher if you have a quantitative @@ -518,9 +524,9 @@ const FieldBuildingPath = () => (

-
-

Interested in pursuing this career path?

-

+

+

Interested in pursuing this career path?

+

Take the following steps to (1) learn more & further assess your fit; (2) learn how to make the transition

@@ -582,7 +588,7 @@ const FieldBuildingPath = () => ( const CareerPaths = () => ( <>

There are 3 major career paths in AI safety:

-
+
Date: Mon, 21 Oct 2024 17:01:22 -0400 Subject: [PATCH 015/106] lint --- app/components/CardSmall/cardsmall.css | 2 +- app/root.css | 161 ++++++++++++------------- 2 files changed, 81 insertions(+), 82 deletions(-) diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index 49effdc2..0cacb921 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -22,4 +22,4 @@ justify-content: center; border-radius: var(--border-radius); flex-shrink: 0; -} \ No newline at end of file +} diff --git a/app/root.css b/app/root.css index 719e3048..21c60219 100644 --- a/app/root.css +++ b/app/root.css @@ -392,104 +392,104 @@ h2 { /* width classes. please turn the grid on in figma and then define widths based on how many columns there are! */ /* note I may change these to vars later */ - /* standard grid - 1056px wide, 51px columns, 40px gutters */ - .col-1 { - width: 51px; - } +/* standard grid - 1056px wide, 51px columns, 40px gutters */ +.col-1 { + width: 51px; +} - .col-2 { - width: 143px; - } +.col-2 { + width: 143px; +} - .col-3 { - width: 234px; - } +.col-3 { + width: 234px; +} - .col-4 { - width: 325px; - } +.col-4 { + width: 325px; +} - .col-5 { - width: 417px; - } +.col-5 { + width: 417px; +} - .col-6 { - width: 508px; - } +.col-6 { + width: 508px; +} - .col-7 { - width: 599px; - } +.col-7 { + width: 599px; +} - .col-8 { - width: 691px; - } +.col-8 { + width: 691px; +} - .col-9 { - width: 782px; - } +.col-9 { + width: 782px; +} - .col-10 { - width: 873px; - } +.col-10 { + width: 873px; +} - .col-11 { - width: 965px; - } +.col-11 { + width: 965px; +} - .col-12 { - width: 1056px; - } +.col-12 { + width: 1056px; +} - /* Alternate grid for extra spacing between elements - 1056px wide, 29px columns, 64px gutters */ +/* Alternate grid for extra spacing between elements - 1056px wide, 29px columns, 64px gutters */ - .col-1-alt { - width: 29px; - } +.col-1-alt { + width: 29px; +} - .col-2-alt { - width: 123px; - } +.col-2-alt { + width: 123px; +} - .col-3-alt { - width: 216px; - } +.col-3-alt { + width: 216px; +} - .col-4-alt { - width: 309px; - } +.col-4-alt { + width: 309px; +} - .col-5-alt { - width: 403px; - } +.col-5-alt { + width: 403px; +} - .col-6-alt { - width: 496px; - } +.col-6-alt { + width: 496px; +} - .col-7-alt { - width: 589px; - } +.col-7-alt { + width: 589px; +} - .col-8-alt { - width: 683px; - } +.col-8-alt { + width: 683px; +} - .col-9-alt { - width: 776px; - } +.col-9-alt { + width: 776px; +} - .col-10-alt { - width: 869px; - } +.col-10-alt { + width: 869px; +} - .col-11-alt { - width: 963px; - } +.col-11-alt { + width: 963px; +} - .col-12-alt { - width: 1056px; - } +.col-12-alt { + width: 1056px; +} /* etc width, height */ @@ -506,15 +506,15 @@ h2 { .flexbox { display: flex; - flex-direction: row; - flex-wrap: wrap; + flex-direction: row; + flex-wrap: wrap; gap: var(--spacing-40); } .flexbox-alt { display: flex; - flex-direction: row; - flex-wrap: wrap; + flex-direction: row; + flex-wrap: wrap; gap: var(--spacing-64); } @@ -746,7 +746,6 @@ button { width: 87.2vw; } - /* typography tags for mobile */ h1 { @@ -819,6 +818,6 @@ button { background-color: var(--colors-white); width: 85%; } -} +} -/* end mobile */ \ No newline at end of file +/* end mobile */ From b0d42d54430ef1064fb631a63f8f4942b92e9607 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 15:39:08 -0400 Subject: [PATCH 016/106] additional root.css etc changes --- app/components/Card/card.css | 2 +- app/components/HowCanIHelp/Base.tsx | 4 +- app/components/HowCanIHelp/HelpMethods.tsx | 10 ++++- .../HowCanIHelp/category-carousel.css | 1 + app/components/HowCanIHelp/howcanihelp.css | 38 +------------------ app/components/LinkCard/linkcard.css | 15 ++------ app/root.css | 18 +++++++-- 7 files changed, 32 insertions(+), 56 deletions(-) diff --git a/app/components/Card/card.css b/app/components/Card/card.css index 210609f6..56a3efd9 100644 --- a/app/components/Card/card.css +++ b/app/components/Card/card.css @@ -2,7 +2,7 @@ height: 328px; padding: var(--spacing-24); display: flex; - background-color: var(--colors-cool-grey-100); + background-color: var(--colors-white); border-radius: var(--border-radius); } diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index 2fdf389b..b410a46e 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -13,8 +13,8 @@ export default function Base({title, subpage, children}: BaseProps) { return (
-
- How can I help with AI Safety? +
+ How can I help with AI safety?
diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index acce6f96..18e8bc28 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -15,7 +15,7 @@ const HelpMethods = ({ }: HelpMethodsProps) => (

{header}

-
+
{current !== 'knowledge' && ( )} {current !== 'community' && ( @@ -32,17 +33,19 @@ const HelpMethods = ({ description="Connecting with others online or in person will help you navigate the transition to a career in AI safety" icon={PuzzlePieces} impact="Find your community" + className='col-6' /> )}

{subheader}

-
+
{current !== 'career' && ( )} {current !== 'donate' && ( @@ -51,6 +54,7 @@ const HelpMethods = ({ title="Donate" description="The AI safety field is constrained by funding—financial help is critical at this moment" icon={PuzzlePieces} + className='col-4' /> )} {current !== 'volunteer' && ( @@ -59,6 +63,7 @@ const HelpMethods = ({ title="Volunteer" description="Help us build important AI safety infrastructure—all skill sets and levels of time—commitment are wanted" icon={PuzzlePieces} + className='col-4' /> )} {current !== 'grassroots' && ( @@ -67,6 +72,7 @@ const HelpMethods = ({ title="Spread the word & grassroots activism" description="For anyone—help us spread the word about this issue" icon={PuzzlePieces} + className='col-4' /> )}
diff --git a/app/components/HowCanIHelp/category-carousel.css b/app/components/HowCanIHelp/category-carousel.css index e7a10a03..195e0fae 100644 --- a/app/components/HowCanIHelp/category-carousel.css +++ b/app/components/HowCanIHelp/category-carousel.css @@ -40,4 +40,5 @@ height: 230px; padding: var(--spacing-40); text-align: left; + gap: var(--spacing-16); } diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index 8c08de4f..a07e58d6 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -1,39 +1,5 @@ -/* .howcanihelp-header { - display: grid; - grid-template-columns: repeat(2, 1fr); -} - -.paths-grid { - display: grid; - grid-template-columns: repeat(3, 1fr); - gap: var(--spacing-32); -} - -.section-grid { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: 40px 64px; -} - -.section-split { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: var(--spacing-40); -} - .help-footer { border-top: 1px solid var(--colors-cool-grey-200); padding-top: var(--spacing-80); -} - -@media (max-width: 780px) { - .paths-grid { - grid-template-columns: 1fr; - } - .section-grid { - grid-template-columns: 1fr; - } - .section-split { - grid-template-columns: 1fr; - } -} */ + margin-top: var(--spacing-104); +} \ No newline at end of file diff --git a/app/components/LinkCard/linkcard.css b/app/components/LinkCard/linkcard.css index e8412751..1d2b3a03 100644 --- a/app/components/LinkCard/linkcard.css +++ b/app/components/LinkCard/linkcard.css @@ -1,12 +1,13 @@ .link-card { - min-height: 100px; + min-height: 104px; height: fit-content; display: flex; flex-direction: column; justify-content: center; + gap: var(--spacing-8); border: 1px solid var(--colors-cool-grey-200); border-radius: var(--border-radius); - padding: var(--spacing-16); + padding: var(--spacing-16) var(--spacing-24); position: relative; cursor: pointer; transition: box-shadow 0.3s ease; @@ -18,16 +19,6 @@ border-color: var(--colors-teal-200); } -.link-card .tag { - background-color: var(--colors-teal-50); - height: fit-content; - width: fit-content; - padding-left: var(--spacing-8); - padding-right: var(--spacing-8); - border-radius: var(--spacing-4); - margin-bottom: var(--spacing-8); -} - .link-card .arrow { position: absolute; top: var(--spacing-8); diff --git a/app/root.css b/app/root.css index 21c60219..93bf2f0d 100644 --- a/app/root.css +++ b/app/root.css @@ -297,10 +297,18 @@ h2 { padding-top: var(--spacing-40) !important; } +.padding-top-48 { + padding-top: var(--spacing-48) !important; +} + .padding-top-56 { padding-top: var(--spacing-56) !important; } +.padding-top-64 { + padding-top: var(--spacing-64) !important; +} + .padding-top-80 { padding-top: var(--spacing-80) !important; } @@ -693,16 +701,20 @@ button { .tag { color: var(--colors-teal-500); - height: fit-content; + height: 24px; width: fit-content; padding: 4px 8px; background-color: var(--colors-teal-50); border-radius: var(--border-radius); + display: flex; /* Added for flexbox layout */ + align-items: center; /* Align children vertically in the center */ + justify-content: center; /* Center horizontally, optional based on design */ + } /* hide elements designed for only mobile on desktop */ -@media (min-width: 780px) { +@media (min-width: 1136px) { .mobile-only { display: none !important; } @@ -712,7 +724,7 @@ button { /* mobile */ -@media (max-width: 780px) { +@media (max-width: 1136px) { .page-body { width: 87.2vw; } From 3453884eb4c89983c5acd5b97a98df9c4b193da5 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 15:40:18 -0400 Subject: [PATCH 017/106] lint --- app/components/HowCanIHelp/HelpMethods.tsx | 12 ++++++------ app/components/HowCanIHelp/howcanihelp.css | 2 +- app/root.css | 7 +++---- 3 files changed, 10 insertions(+), 11 deletions(-) diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 18e8bc28..e04e1a92 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -23,7 +23,7 @@ const HelpMethods = ({ description="Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field" icon={PuzzlePieces} impact="We'll show you how" - className='col-6' + className="col-6" /> )} {current !== 'community' && ( @@ -33,7 +33,7 @@ const HelpMethods = ({ description="Connecting with others online or in person will help you navigate the transition to a career in AI safety" icon={PuzzlePieces} impact="Find your community" - className='col-6' + className="col-6" /> )}
@@ -45,7 +45,7 @@ const HelpMethods = ({ title="Start a career in AI Safety" description="For both technical and non-technical roles in research, policy, and field-building" icon={PuzzlePieces} - className='col-4' + className="col-4" /> )} {current !== 'donate' && ( @@ -54,7 +54,7 @@ const HelpMethods = ({ title="Donate" description="The AI safety field is constrained by funding—financial help is critical at this moment" icon={PuzzlePieces} - className='col-4' + className="col-4" /> )} {current !== 'volunteer' && ( @@ -63,7 +63,7 @@ const HelpMethods = ({ title="Volunteer" description="Help us build important AI safety infrastructure—all skill sets and levels of time—commitment are wanted" icon={PuzzlePieces} - className='col-4' + className="col-4" /> )} {current !== 'grassroots' && ( @@ -72,7 +72,7 @@ const HelpMethods = ({ title="Spread the word & grassroots activism" description="For anyone—help us spread the word about this issue" icon={PuzzlePieces} - className='col-4' + className="col-4" /> )}
diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index a07e58d6..c6720a3c 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -2,4 +2,4 @@ border-top: 1px solid var(--colors-cool-grey-200); padding-top: var(--spacing-80); margin-top: var(--spacing-104); -} \ No newline at end of file +} diff --git a/app/root.css b/app/root.css index 93bf2f0d..c1a90983 100644 --- a/app/root.css +++ b/app/root.css @@ -706,10 +706,9 @@ button { padding: 4px 8px; background-color: var(--colors-teal-50); border-radius: var(--border-radius); - display: flex; /* Added for flexbox layout */ - align-items: center; /* Align children vertically in the center */ - justify-content: center; /* Center horizontally, optional based on design */ - + display: flex; /* Added for flexbox layout */ + align-items: center; /* Align children vertically in the center */ + justify-content: center; /* Center horizontally, optional based on design */ } /* hide elements designed for only mobile on desktop */ From 777172bf4324ab892a2b049f4132d6e637921009 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 16:17:22 -0400 Subject: [PATCH 018/106] adjusted imagery --- app/assets/icons/people.svg | 20 ++++++++++---------- app/components/HowCanIHelp/HelpMethods.tsx | 18 ++++++++++++------ 2 files changed, 22 insertions(+), 16 deletions(-) diff --git a/app/assets/icons/people.svg b/app/assets/icons/people.svg index 56ef2128..0e40a4f3 100644 --- a/app/assets/icons/people.svg +++ b/app/assets/icons/people.svg @@ -1,15 +1,15 @@ - - - - + + + + - - - + + + - - - + + + diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index e04e1a92..07e98053 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -2,6 +2,12 @@ import Card from '~/components/Card' import CardSmall from '~/components/CardSmall' import {HelpPage, helpUrl} from '~/routesMapper' import {PuzzlePieces} from '~/components/icons-generated' +import {Book} from '~/components/icons-generated' +import {People} from '~/components/icons-generated' +import {Briefcase} from '~/components/icons-generated' +import {Megaphone} from '~/components/icons-generated' +import {PiggyBank} from '~/components/icons-generated' +import {Hand} from '~/components/icons-generated' type HelpMethodsProps = { current?: HelpPage @@ -21,7 +27,7 @@ const HelpMethods = ({ action={helpUrl('knowledge')} title="Build your knowledge" description="Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field" - icon={PuzzlePieces} + icon={Book} impact="We'll show you how" className="col-6" /> @@ -31,7 +37,7 @@ const HelpMethods = ({ action={helpUrl('community')} title="Join a community" description="Connecting with others online or in person will help you navigate the transition to a career in AI safety" - icon={PuzzlePieces} + icon={People} impact="Find your community" className="col-6" /> @@ -44,7 +50,7 @@ const HelpMethods = ({ action={helpUrl('career')} title="Start a career in AI Safety" description="For both technical and non-technical roles in research, policy, and field-building" - icon={PuzzlePieces} + icon={Briefcase} className="col-4" /> )} @@ -53,7 +59,7 @@ const HelpMethods = ({ action={helpUrl('donate')} title="Donate" description="The AI safety field is constrained by funding—financial help is critical at this moment" - icon={PuzzlePieces} + icon={PiggyBank} className="col-4" /> )} @@ -62,7 +68,7 @@ const HelpMethods = ({ action={helpUrl('volunteer')} title="Volunteer" description="Help us build important AI safety infrastructure—all skill sets and levels of time—commitment are wanted" - icon={PuzzlePieces} + icon={Hand} className="col-4" /> )} @@ -71,7 +77,7 @@ const HelpMethods = ({ action={helpUrl('grassroots')} title="Spread the word & grassroots activism" description="For anyone—help us spread the word about this issue" - icon={PuzzlePieces} + icon={Megaphone} className="col-4" /> )} From fb262b515acac1ef56a1a17a0505cc683802430f Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 16:21:41 -0400 Subject: [PATCH 019/106] lint --- app/components/HowCanIHelp/HelpMethods.tsx | 1 - 1 file changed, 1 deletion(-) diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 07e98053..af76e88a 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -1,7 +1,6 @@ import Card from '~/components/Card' import CardSmall from '~/components/CardSmall' import {HelpPage, helpUrl} from '~/routesMapper' -import {PuzzlePieces} from '~/components/icons-generated' import {Book} from '~/components/icons-generated' import {People} from '~/components/icons-generated' import {Briefcase} from '~/components/icons-generated' From 735d47de695ddd36cf5aaf934606a17ff9f989ca Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 20:05:28 -0400 Subject: [PATCH 020/106] donate page --- app/routes/how-can-i-help.career.tsx | 1 - app/routes/how-can-i-help.donate.tsx | 88 ++++++++++++++++++++++++++-- 2 files changed, 84 insertions(+), 5 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 54575c37..bc6f7e9c 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -6,7 +6,6 @@ import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' -/* import './howcanihelp.css' */ export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 6946da0d..0120b18a 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -1,14 +1,94 @@ import {MetaFunction} from '@remix-run/node' +import CardSmall from '~/components/CardSmall' +import DropDown from '~/components/DropDown' +import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' +import HelpItem from '~/components/HowCanIHelp/HelpItem' +import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' +import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] } -export default function Donate() { +const ResearchPath = () => ( + <> +
+
+
+

Who

+

+ All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary professional wishing to donate 10% of their income, or a well-off philanthropist looking to create major change for good can all financially contribute to advance this effort. +

+
+
+

Why this is important

+

+ The AI safety field is funding-limited as of mid-2023, and there are important avenues in AI alignment research and AI governance that cannot currently be explored due to this lack of funding. +

+
+
+
+ +
+

How & where to donate

+ +

Essentially, AI safety field experts allocate your funds where they believe they will be the most impactful within AI alignment research, AI governance, or AI safety field-building.

+

We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding high-value projects worldwide.

+ + + +

Essentially, AI safety field experts allocate your funds where they believe they will be the most impactful within AI alignment research, AI governance, or AI safety field-building.

+

We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding high-value projects worldwide.

+ + +
+ +
+ + +
+ +
+ +
+ +) + +export default function HowCanIHelp() { return ( - -
fill me out, please
+ + + + ) -} +} \ No newline at end of file From b66b5cc5f980984299a44f0c318d3da7e0a652a4 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 22 Oct 2024 20:06:52 -0400 Subject: [PATCH 021/106] lint --- app/routes/how-can-i-help.donate.tsx | 50 ++++++++++++++++------------ 1 file changed, 29 insertions(+), 21 deletions(-) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 0120b18a..597b1218 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -1,7 +1,4 @@ import {MetaFunction} from '@remix-run/node' -import CardSmall from '~/components/CardSmall' -import DropDown from '~/components/DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' @@ -18,13 +15,17 @@ const ResearchPath = () => (

Who

- All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary professional wishing to donate 10% of their income, or a well-off philanthropist looking to create major change for good can all financially contribute to advance this effort. + All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary + professional wishing to donate 10% of their income, or a well-off philanthropist looking + to create major change for good can all financially contribute to advance this effort.

Why this is important

- The AI safety field is funding-limited as of mid-2023, and there are important avenues in AI alignment research and AI governance that cannot currently be explored due to this lack of funding. + The AI safety field is funding-limited as of mid-2023, and there are important avenues + in AI alignment research and AI governance that cannot currently be explored due to this + lack of funding.

@@ -38,21 +39,33 @@ const ResearchPath = () => ( { tag: 'Top recommendation', title: 'Long-Term Future Fund', - action: 'https://www.givingwhatwecan.org/charities/long-term-future-fund?utm_source=eafunds', + action: + 'https://www.givingwhatwecan.org/charities/long-term-future-fund?utm_source=eafunds', }, ]} > -

Essentially, AI safety field experts allocate your funds where they believe they will be the most impactful within AI alignment research, AI governance, or AI safety field-building.

-

We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding high-value projects worldwide.

+

+ Essentially, AI safety field experts allocate your funds where they believe they will be + the most impactful within AI alignment research, AI governance, or AI safety + field-building. +

+

+ We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding + high-value projects worldwide. +

- -

Essentially, AI safety field experts allocate your funds where they believe they will be the most impactful within AI alignment research, AI governance, or AI safety field-building.

-

We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding high-value projects worldwide.

+ +

+ Essentially, AI safety field experts allocate your funds where they believe they will be + the most impactful within AI alignment research, AI governance, or AI safety + field-building. +

+

+ We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding + high-value projects worldwide. +

-
@@ -75,10 +88,7 @@ const ResearchPath = () => (
- +
) @@ -86,9 +96,7 @@ const ResearchPath = () => ( export default function HowCanIHelp() { return ( - - ) -} \ No newline at end of file +} From b8657981385df874388c6406af0b67f5b954be4c Mon Sep 17 00:00:00 2001 From: Myles Date: Wed, 23 Oct 2024 11:46:00 -0400 Subject: [PATCH 022/106] Smooth scroll for careers page --- app/components/Button/index.tsx | 2 +- app/components/CardSmall/index.tsx | 2 +- app/components/icons-generated/People.tsx | 36 ++++++------- app/routes/how-can-i-help.career.tsx | 65 +++++++++++++---------- 4 files changed, 57 insertions(+), 48 deletions(-) diff --git a/app/components/Button/index.tsx b/app/components/Button/index.tsx index 53b2a91f..e92c405e 100644 --- a/app/components/Button/index.tsx +++ b/app/components/Button/index.tsx @@ -4,7 +4,7 @@ import './button.css' import useIsMobile from '~/hooks/isMobile' type ButtonProps = { - action?: string | (() => void) + action?: string | ((e: React.MouseEvent) => void) children?: ReactNode className?: string tooltip?: string diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index da1f1c85..7dd1e15e 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -6,7 +6,7 @@ interface CardSmallProps { title: string description: string icon: (props: SVGProps) => JSX.Element - action: string + action: string | ((e: React.MouseEvent) => void) className?: string iconColor?: string } diff --git a/app/components/icons-generated/People.tsx b/app/components/icons-generated/People.tsx index acbe1c69..73f9a5e7 100644 --- a/app/components/icons-generated/People.tsx +++ b/app/components/icons-generated/People.tsx @@ -1,48 +1,48 @@ import type {SVGProps} from 'react' const SvgPeople = (props: SVGProps) => ( - + - - + + - - + + diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index bc6f7e9c..7a856a47 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -584,34 +584,43 @@ const FieldBuildingPath = () => ( ) -const CareerPaths = () => ( - <> -

There are 3 major career paths in AI safety:

-
- - - -
- -) +const CareerPaths = () => { + const smoothScroll = (id: string) => { + const element = document.getElementById(id) + if (element) { + element.scrollIntoView({behavior: 'smooth'}) + window.history.pushState(null, '', `#${id}`) + } + } + return ( + <> +

There are 3 major career paths in AI safety:

+
+ smoothScroll('research')} + iconColor="var(--colors-teal-700)" + title="AI alignment research" + description="Research roles dedicated to solving the technical challenge of AI alignment, and non—technical supporting roles" + icon={Microscope} + /> + smoothScroll('governance')} + iconColor="var(--colors-teal-700)" + title="AI governance & policy" + description="Roles focused on developing and implementing policies that guide AI development and usage" + icon={GovermentBuilding} + /> + smoothScroll('field-building')} + iconColor="var(--colors-teal-700)" + title="AI safety field-building" + description="Roles that direct people or funding towards AI risk, rather than working on the problem directly" + icon={PuzzlePieces} + /> +
+ + ) +} export default function HowCanIHelp() { return ( From f7c44601c33b06ba70238adb0007ca6c3fdcdd95 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Wed, 23 Oct 2024 17:48:08 +0200 Subject: [PATCH 023/106] fix Carousel + add tags to HelpItem --- .../HowCanIHelp/CatgoryCarousel.tsx | 7 +++---- app/components/HowCanIHelp/HelpItem.tsx | 19 +++++++++++++++++-- app/hooks/useToC.tsx | 2 +- app/routes/how-can-i-help.career.tsx | 6 +++--- app/routes/how-can-i-help.donate.tsx | 6 ++++++ 5 files changed, 30 insertions(+), 10 deletions(-) diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx index 85d3a76c..beca068e 100644 --- a/app/components/HowCanIHelp/CatgoryCarousel.tsx +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -2,9 +2,9 @@ import {useEffect, useRef, useState} from 'react' import useToC from '~/hooks/useToC' import {PageId} from '~/server-utils/stampy' import Button from '~/components/Button' -import './category-carousel.css' import {ArrowRight} from '~/components/icons-generated' import {questionUrl} from '~/routesMapper' +import './category-carousel.css' const PER_BOX = 320 @@ -12,7 +12,7 @@ const CategoryCarousel = ({title, category}: {title: string; category: PageId}) const componentRef = useRef(null) const [shown, setShown] = useState(0) const [offset, setOffset] = useState(0) - const {findSection} = useToC() + const {getArticle} = useToC() useEffect(() => { const updateWidth = () => { @@ -28,8 +28,7 @@ const CategoryCarousel = ({title, category}: {title: string; category: PageId}) return () => window.removeEventListener('resize', updateWidth) }, []) - const section = findSection(category) - console.log(section) + const section = getArticle(category) return (
diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index bb69120f..5215ba65 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -3,21 +3,36 @@ import LinkCard, {Link} from '~/components/LinkCard' type HelpItemProps = { title?: ReactNode + tag?: string children: ReactNode links?: Link[] + additionalInfo?: ReactNode titleFont?: 'large-bold' | 'default-bold' } -const HelpItem = ({title, children, links, titleFont = 'large-bold'}: HelpItemProps) => { +const HelpItem = ({ + title, + tag, + children, + links, + additionalInfo, + titleFont = 'large-bold', +}: HelpItemProps) => { return (
- {title &&

{title}

} + {title && ( +

+ {title} + {tag && {tag}} +

+ )}

{children}

{links?.map((link) => (
+ {additionalInfo &&

{additionalInfo}

}
))}
diff --git a/app/hooks/useToC.tsx b/app/hooks/useToC.tsx index 5db75854..106e497b 100644 --- a/app/hooks/useToC.tsx +++ b/app/hooks/useToC.tsx @@ -30,7 +30,7 @@ const useToC = () => { // * ["123", "ABC"] // * ["324", "ABC"] // * ["ABC"] - // Then that the shorter the path, the better + // Then the shorter the path, the better return (toc || []) .filter(checker) .sort((a, b) => (checker(a)?.length || 20) - (checker(b)?.length || 20))[0] diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index bc6f7e9c..e1d075ec 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -201,7 +201,7 @@ const ResearchPath = () => (
@@ -341,7 +341,7 @@ const GovernancePath = () => (
) @@ -579,7 +579,7 @@ const FieldBuildingPath = () => ( ) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 597b1218..5d51d9b4 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -35,6 +35,7 @@ const ResearchPath = () => (

How & where to donate

( 'https://www.givingwhatwecan.org/charities/long-term-future-fund?utm_source=eafunds', }, ]} + additionalInfo={ + <> + Or browse our other grantmaker recommendations + + } >

Essentially, AI safety field experts allocate your funds where they believe they will be From 49b8dcbd09b271c62bf8bddb79aa601f8189c10d Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 13:29:07 -0400 Subject: [PATCH 024/106] changed blend modes of svgs + small CSS adjustments --- app/assets/icons/goverment_building.svg | 2 +- app/assets/icons/microscope.svg | 4 ++-- app/assets/icons/puzzle_pieces.svg | 2 +- app/components/LinkCard/index.tsx | 2 +- 4 files changed, 5 insertions(+), 5 deletions(-) diff --git a/app/assets/icons/goverment_building.svg b/app/assets/icons/goverment_building.svg index e0a61831..694c7f2c 100644 --- a/app/assets/icons/goverment_building.svg +++ b/app/assets/icons/goverment_building.svg @@ -4,7 +4,7 @@ - + diff --git a/app/assets/icons/microscope.svg b/app/assets/icons/microscope.svg index b5a9105b..d66e5c95 100644 --- a/app/assets/icons/microscope.svg +++ b/app/assets/icons/microscope.svg @@ -1,6 +1,6 @@ - - + + diff --git a/app/assets/icons/puzzle_pieces.svg b/app/assets/icons/puzzle_pieces.svg index 2f9e6506..a0a382c4 100644 --- a/app/assets/icons/puzzle_pieces.svg +++ b/app/assets/icons/puzzle_pieces.svg @@ -1,5 +1,5 @@ - + diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index 9df67bac..57adb566 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -15,7 +15,7 @@ export type LinkCardProps = Link & { const LinkCard: React.FC = ({title, tag, action, className}) => (

{tag}
} + {tag &&
{tag}
}

{title}

From 33cf651ebfea73e562255d141032ad7b8de43367 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 14:00:49 -0400 Subject: [PATCH 025/106] pixel perfect index page --- app/components/HelpGrid/helpgrid.css | 11 ----------- app/components/HelpGrid/index.tsx | 4 ++-- app/routes/how-can-i-help._index.tsx | 8 ++++---- 3 files changed, 6 insertions(+), 17 deletions(-) delete mode 100644 app/components/HelpGrid/helpgrid.css diff --git a/app/components/HelpGrid/helpgrid.css b/app/components/HelpGrid/helpgrid.css deleted file mode 100644 index bedb78bb..00000000 --- a/app/components/HelpGrid/helpgrid.css +++ /dev/null @@ -1,11 +0,0 @@ -.help-grid { - display: grid; - grid-template-columns: repeat(2, 1fr); - gap: var(--spacing-32); -} - -@media (max-width: 780px) { - .help-grid { - grid-template-columns: 1fr; - } -} diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index 0b43cf39..367a8079 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -55,9 +55,9 @@ const helpItems = [ export default function HelpGrid() { return ( -
+
{helpItems.map((item, index) => ( - + ))}
) diff --git a/app/routes/how-can-i-help._index.tsx b/app/routes/how-can-i-help._index.tsx index 6aad0d75..547a9ab7 100644 --- a/app/routes/how-can-i-help._index.tsx +++ b/app/routes/how-can-i-help._index.tsx @@ -10,10 +10,10 @@ export const meta: MetaFunction = () => { export default function HowCanIHelp() { return ( -
-
-

How can I help with AI Safety?

-

+

+
+

How can I help with

AI safety?

+

The AI safety movement is still relatively new, and your actions could have significant impact. Here's what you can do:

From 161803742355aed68bde137ac4cf9accd8bcadd2 Mon Sep 17 00:00:00 2001 From: Myles Date: Wed, 23 Oct 2024 14:21:18 -0400 Subject: [PATCH 026/106] scroll-behaviour: smooth --- app/root.css | 1 + app/routes/how-can-i-help.career.tsx | 13 +++---------- 2 files changed, 4 insertions(+), 10 deletions(-) diff --git a/app/root.css b/app/root.css index c1a90983..612fa9c6 100644 --- a/app/root.css +++ b/app/root.css @@ -61,6 +61,7 @@ body, html { height: 100%; + scroll-behavior: smooth; } /* body */ diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 7a856a47..454e03d0 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -585,33 +585,26 @@ const FieldBuildingPath = () => ( ) const CareerPaths = () => { - const smoothScroll = (id: string) => { - const element = document.getElementById(id) - if (element) { - element.scrollIntoView({behavior: 'smooth'}) - window.history.pushState(null, '', `#${id}`) - } - } return ( <>

There are 3 major career paths in AI safety:

smoothScroll('research')} + action="#research" iconColor="var(--colors-teal-700)" title="AI alignment research" description="Research roles dedicated to solving the technical challenge of AI alignment, and non—technical supporting roles" icon={Microscope} /> smoothScroll('governance')} + action="#governance" iconColor="var(--colors-teal-700)" title="AI governance & policy" description="Roles focused on developing and implementing policies that guide AI development and usage" icon={GovermentBuilding} /> smoothScroll('field-building')} + action="#field-building" iconColor="var(--colors-teal-700)" title="AI safety field-building" description="Roles that direct people or funding towards AI risk, rather than working on the problem directly" From 4c882b1f8c183336667be32e82163508db77fbfe Mon Sep 17 00:00:00 2001 From: Myles Date: Wed, 23 Oct 2024 14:22:42 -0400 Subject: [PATCH 027/106] small --- app/routes/how-can-i-help.career.tsx | 58 ++++++++++++++-------------- 1 file changed, 28 insertions(+), 30 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 454e03d0..bc6f7e9c 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -584,36 +584,34 @@ const FieldBuildingPath = () => ( ) -const CareerPaths = () => { - return ( - <> -

There are 3 major career paths in AI safety:

-
- - - -
- - ) -} +const CareerPaths = () => ( + <> +

There are 3 major career paths in AI safety:

+
+ + + +
+ +) export default function HowCanIHelp() { return ( From 8abf257567b4a304aa67fc914bc8488ab7412875 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Wed, 23 Oct 2024 15:25:18 -0300 Subject: [PATCH 028/106] copy and links --- app/components/CardSmall/cardsmall.css | 2 +- app/components/HowCanIHelp/Base.tsx | 2 +- app/components/icons-generated/People.tsx | 36 ++++++------ app/root.css | 2 +- app/routes/how-can-i-help._index.tsx | 2 +- app/routes/how-can-i-help.career.tsx | 67 ++++++++++++----------- 6 files changed, 56 insertions(+), 55 deletions(-) diff --git a/app/components/CardSmall/cardsmall.css b/app/components/CardSmall/cardsmall.css index 0cacb921..bca51309 100644 --- a/app/components/CardSmall/cardsmall.css +++ b/app/components/CardSmall/cardsmall.css @@ -15,7 +15,7 @@ .card-small-icon { width: 100%; - height: 130px; + height: 114px; margin-bottom: var(--spacing-24); display: flex; align-items: center; diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index b410a46e..2482d87c 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -18,7 +18,7 @@ export default function Base({title, subpage, children}: BaseProps) {
-

{title}

+

{title}

{children} diff --git a/app/components/icons-generated/People.tsx b/app/components/icons-generated/People.tsx index acbe1c69..73f9a5e7 100644 --- a/app/components/icons-generated/People.tsx +++ b/app/components/icons-generated/People.tsx @@ -1,48 +1,48 @@ import type {SVGProps} from 'react' const SvgPeople = (props: SVGProps) => ( - + - - + + - - + + diff --git a/app/root.css b/app/root.css index c1a90983..e6d85da9 100644 --- a/app/root.css +++ b/app/root.css @@ -28,7 +28,7 @@ --colors-green-500: #40c075; - /* spacing - user everywhere for padding and margin */ + /* spacing - use everywhere for padding and margin */ --border-radius: 6px; --spacing-4: 4px; --spacing-8: 8px; diff --git a/app/routes/how-can-i-help._index.tsx b/app/routes/how-can-i-help._index.tsx index 6aad0d75..4c18a230 100644 --- a/app/routes/how-can-i-help._index.tsx +++ b/app/routes/how-can-i-help._index.tsx @@ -12,7 +12,7 @@ export default function HowCanIHelp() {
-

How can I help with AI Safety?

+

How can I help with AI safety?

The AI safety movement is still relatively new, and your actions could have significant impact. Here's what you can do: diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index e1d075ec..818f82ba 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -66,8 +66,7 @@ const ResearchPath = () => (

Interested in pursuing this career path?

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition + Take the following steps to further assess your fit and learn how to make the transition:

(

Interested in pursuing this career path?

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition + Take the following steps to further assess your fit and learn how to make the transition:

( links={[ { title: "Read 80k's guide on communications", - action: '#', + action: 'https://80000hours.org/skills/communication/', }, ]} > Communications involves educating the public or spreading the word about AI safety—most - typically through websites or social media. People with computer skills and creative skills - can typically find a place within communications. More specifically, roles could include - being an independent content producer, software engineering, project management, or design. + typically through websites or social media. People with computer skills and creative skills can typically find a place within communications. Roles could + include independent content production, software engineering, project management, or + design. ( links={[ { title: "Read 80k's guide on being a grantmaker", - action: '#', + action: 'https://80000hours.org/career-reviews/grantmaker', }, ]} > @@ -425,7 +423,7 @@ const FieldBuildingPath = () => ( links={[ { title: "Read 80k's guide on founding high-impact projects", - action: '#', + action: 'https://80000hours.org/career-reviews/founder-impactful-organisations', }, ]} > @@ -439,10 +437,11 @@ const FieldBuildingPath = () => (
- There are many roles that support the work of AI alignment researchers, and having - high-performing people in these roles is crucial. In a research organisation around half - of the staff will be doing other tasks essential for the organisation to perform at its - best and have an impact. Some of these roles include: + There are many roles that support the work of AI alignment researchers or people + in AI governance, and having high-performing people in these roles is crucial. + In a research organisation, for example, around half of the staff will be doing + other tasks essential for the organisation to perform at its best and have an + impact. Some of the most common supporting roles in AI safety include: ( links={[ { title: "Read 80k's guide on operations work", - action: '#', + action: 'https://80000hours.org/articles/operations-management', }, ]} > @@ -465,7 +464,7 @@ const FieldBuildingPath = () => ( links={[ { title: "Read 80k's guide on research management", - action: '#', + action: 'https://80000hours.org/career-reviews/research-management', }, ]} > @@ -477,17 +476,18 @@ const FieldBuildingPath = () => ( - This involves managing administrative tasks to enhance this person's productivity. - Responsibilities include scheduling meetings, handling correspondence, coordinating - travel, organizing events, and ensuring they can focus on impactful AI safety efforts. + This involves managing administrative tasks to enhance their productivity. + Responsibilities include scheduling meetings, handling correspondence, + coordinating travel, organizing events, and ensuring they can focus on + impactful AI safety or governance efforts.

Other technical roles

@@ -498,12 +498,10 @@ const FieldBuildingPath = () => ( links={[ { title: "Read 80k's guide on Information security in high-impact areas", - action: '#', + action: 'https://80000hours.org/career-reviews/information-security', }, ]} > - Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse justo magna. - Suspendisse nunc id lacus sit interdum sit. ( links={[ { title: "Read 80k's guide on expertise in AI hardware", - action: '#', + action: 'https://80000hours.org/career-reviews/become-an-expert-in-ai-hardware', }, ]} > - Lorem ipsum dolor sit amet consectetur. Sapien ullamcorper morbi habitasse justo magna. - Suspendisse nunc id lacus sit interdum sit.
@@ -526,8 +522,7 @@ const FieldBuildingPath = () => (

Interested in pursuing this career path?

- Take the following steps to (1) learn more & further assess your fit; (2) learn how to - make the transition + Take the following steps to further assess your fit and learn how to make the transition:

( AI safety is a relatively new field with diverse opinions on how best to solve the technical @@ -586,7 +587,7 @@ const FieldBuildingPath = () => ( const CareerPaths = () => ( <> -

There are 3 major career paths in AI safety:

+

There are three major career paths:

( export default function HowCanIHelp() { return ( - + From fb4ca396e7c8f8629d0dde6266763ae1b7120519 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 14:30:09 -0400 Subject: [PATCH 029/106] lint --- app/routes/how-can-i-help._index.tsx | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/app/routes/how-can-i-help._index.tsx b/app/routes/how-can-i-help._index.tsx index 547a9ab7..519e94ef 100644 --- a/app/routes/how-can-i-help._index.tsx +++ b/app/routes/how-can-i-help._index.tsx @@ -12,7 +12,9 @@ export default function HowCanIHelp() {
-

How can I help with

AI safety?

+

+ How can I help with

AI safety? +

The AI safety movement is still relatively new, and your actions could have significant impact. Here's what you can do: From 7b5d36980f4cf06c86f19e05b91450928b3231b4 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Wed, 23 Oct 2024 17:06:31 -0300 Subject: [PATCH 030/106] copy and links --- app/components/HelpGrid/index.tsx | 2 +- app/components/HowCanIHelp/HelpMethods.tsx | 4 +- app/routes/how-can-i-help.career.tsx | 128 +++++++++++---------- 3 files changed, 72 insertions(+), 62 deletions(-) diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index 0b43cf39..2c95e10c 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -5,7 +5,7 @@ import {helpUrl} from '~/routesMapper' const helpItems = [ { - title: 'Start a career in AI Safety', + title: 'Start a career in AI safety', description: 'For both technical and non-technical roles in AI alignment, governance, and field-building', impact: 'Highest direct impact', diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index af76e88a..771f3411 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -47,7 +47,7 @@ const HelpMethods = ({ {current !== 'career' && ( diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 818f82ba..4a1d7649 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -43,10 +43,10 @@ const ResearchPath = () => (

AI alignment researchers typically work at non-profit organizations dedicated to AI safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like OpenAI. + independently; or on industry safety teams*.

- *Note: Beware of the risk of joining "safety" teams, + *Note: Beware of the risk of joining industry "safety" teams, as this work often leaks to non-safety parts of the organization which improves the AI technology itself—and so ends up causing harm.

@@ -103,8 +103,8 @@ const ResearchPath = () => ( >

Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will - address your specific questions about the field, confirm your interest and fit, and - provide tailored recommendations to help you make the transition. + address your specific questions about the AI alignment research field, confirm your + interest and fit, and provide tailored recommendations to help you make the transition.

Note: 80,000 Hours does not accept all applicants. @@ -112,24 +112,30 @@ const ResearchPath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} links={[ - {title: 'Our ‘Build your knowledge’ guide'}, - {title: 'Our ‘Join a community’ guide'}, + { + title: 'Our ‘Build your knowledge’ guide', + action: 'https://aisafety.info/howcanihelp/knowledge', + }, + { + title: 'Our ‘Join a community’ guide', + action: 'https://aisafety.info/howcanihelp/community', + }, ]} > AI safety is a relatively new field with diverse opinions on how best to solve the technical challenge of AI alignment. Many unexplored avenues and important questions likely remain - unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think - independently and develop their own models on this topic. If you pursue a career in this - field, we recommend deeply educating yourself on the technical challenge of alignment, - engaging with other AI safety experts, and thinking critically about the topic and current - paradigms. + unaddressed. Therefore, it's crucial for AI alignment researchers (or + aspiring researchers) to think independently and develop their own models on this topic. + If you pursue a career in this field, we recommend deeply educating yourself on the + technical challenge of alignment, engaging with other AI safety experts, and thinking + critically about the topic and current paradigms.

- + There are many roles that support the work of AI alignment researchers, and having high-performing people in these roles is crucial. In a research organisation around half @@ -138,14 +144,18 @@ const ResearchPath = () => ( This involves overseeing the day-to-day activities that enable the organization to function efficiently and effectively. Responsibilities may include administrative support, resource allocation, HR, management of facilities, IT support, project coordination, etc. (

What

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior so - that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. + Lorem ipsum

Why this is important

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical challenge - of AI alignment through dedicated research, and then collaborate globally to carefully - deploy solutions. While experts believe alignment is solvable, it remains a complex - problem that demands significant high-quality intellectual talent. + Lorem ipsum

-

Where AI alignment researchers work

+

Where these people usually work

- AI alignment researchers typically work at non-profit organizations dedicated to AI - safety and alignment; in academia (i.e. universities and academic institutions); - independently; or on industry safety teams*, usually at major AI companies like OpenAI. + Lorem ipsum

You might be a good fit if...

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. + Lorem ipsum

@@ -265,6 +263,7 @@ const GovernancePath = () => ( { tag: 'Top recommendation', title: 'Technical AI Safety Career Review', + action: '' }, ]} > @@ -282,9 +281,11 @@ const GovernancePath = () => ( links={[ { title: 'Book your AI Safety Quest call', + action: 'https://aisafety.quest/#calls', }, { title: 'Book your 80,000 Hours call', + action: '' }, ]} > @@ -299,10 +300,16 @@ const GovernancePath = () => ( AI safety is a relatively new field with diverse opinions on how best to solve the technical @@ -354,29 +361,29 @@ const FieldBuildingPath = () => (

What

- AI alignment research is the field dedicated to ensuring that advanced artificial - intelligence systems act in ways that are beneficial to humans and aligned with human - values and goals. It involves developing methods and principles to guide AI behavior so - that as these systems become more capable and autonomous, they continue to operate - safely and ethically within the intentions set by their human creators. + AI safety field-building involves attracting talent and resources to the field, raising + awareness about AI safety issues, educating people to increase attention toward + developing safe AI, and building the AI safety community.

Why this is important

- To ensure humanity benefits from advanced AI and mitigates risks—like unintended - behaviors or misalignment with human values—we must first solve the technical challenge - of AI alignment through dedicated research, and then collaborate globally to carefully - deploy solutions. While experts believe alignment is solvable, it remains a complex - problem that demands significant high-quality intellectual talent. + The AI safety field is still in its early stages, with significant room for growth and + maturation. It is important to capitalize on this potential because it may be the deciding + factor between successfully solving the alignment problem and mitigating AI risk through + global coordination, or not. This growth will largely result from field-building efforts + specifically.

You might be a good fit if...

- You might be a good fit as an AI alignment researcher if you have a quantitative - background, you enjoy programming, or you're skilled at breaking down problems - logically, hypothesizing, and testing various solutions with high attention to detail. + Field-building may be the way to go if neither alignment research nor governance appeals + to you or fits your skillset. You may be a particularly good fit if you have a strong + sense of agency or leadership, or you are creative. That said, a large variety of roles + exist within field-building, so it’s likely that you can adapt your skillset—whatever + it is—to a role.

@@ -460,7 +467,7 @@ const FieldBuildingPath = () => ( ( links={[ { title: "Read 80k's guide on being an executive assistant", - action: 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person', + action: '#', }, ]} > @@ -522,7 +529,8 @@ const FieldBuildingPath = () => (

Interested in pursuing this career path?

- Take the following steps to further assess your fit and learn how to make the transition: + Take the following steps to (1) learn more & further assess your fit; (2) learn how to + make the transition

( links={[ { title: 'Book your AI Safety Quest call', + action: 'https://aisafety.quest/#calls', }, { title: 'Book your 80,000 Hours call', + action: 'https://80000hours.org/speak-with-us/', }, ]} > @@ -547,7 +557,7 @@ const FieldBuildingPath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -560,12 +570,12 @@ const FieldBuildingPath = () => ( ]} > AI safety is a relatively new field with diverse opinions on how best to solve the technical - challenge of AI alignment. Many unexplored avenues and important questions likely remain - unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think - independently and develop their own models on this topic. If you pursue a career in this - field, we recommend deeply educating yourself on the technical challenge of alignment, - engaging with other AI safety experts, and thinking critically about the topic and current - paradigms. + challenge of AI alignment. Many unexplored avenues and important questions likely remain unaddressed. + Therefore, it's crucial for AI alignment researchers (or + aspiring researchers) to think independently and develop their own models on this topic. + If you pursue a career in this field, we recommend deeply educating yourself on the + technical challenge of alignment, engaging with other AI safety experts, and thinking + critically about the topic and current paradigms.
@@ -607,7 +617,7 @@ const CareerPaths = () => ( action="#field-building" iconColor="var(--colors-teal-700)" title="AI safety field-building" - description="Roles that direct people or funding towards AI risk, rather than working on the problem directly" + description="Roles that direct talent or resources toward AI safety, educate the public, or build the AI safety community" icon={PuzzlePieces} />
From 7367f54f387f0418bce50ef501ce31c8ebe855b5 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 16:34:37 -0400 Subject: [PATCH 031/106] Update index.tsx --- app/components/HelpGrid/index.tsx | 1 - 1 file changed, 1 deletion(-) diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index 367a8079..68acd831 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -1,4 +1,3 @@ -import './helpgrid.css' import Card from '../Card' import {Briefcase, Megaphone, PiggyBank, Hand, Book, People} from '../icons-generated' import {helpUrl} from '~/routesMapper' From 7814971b558d72c6c9859605374de9c9cfc1ac0b Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 19:56:21 -0400 Subject: [PATCH 032/106] changed "Safety" to "safety" everywhere, some stuff for the articles section, donate page --- app/components/Chatbot/index.tsx | 2 +- app/components/ContentBox/index.tsx | 2 +- app/components/HelpGrid/index.tsx | 2 +- app/components/HowCanIHelp/HelpItem.tsx | 4 +- app/components/HowCanIHelp/HelpMethods.tsx | 2 +- .../HowCanIHelp/category-carousel.css | 18 +- app/components/Nav/Mobile/index.tsx | 2 +- app/components/Nav/index.tsx | 2 +- .../coda-responses/cached-coda-responses.json | 344 +++++++++--------- app/root.css | 9 + app/root.tsx | 2 +- app/routes/how-can-i-help.career.tsx | 20 +- app/routes/how-can-i-help.donate.tsx | 14 +- app/routes/how-can-i-help.grassroots.tsx | 2 +- app/routes/how-can-i-help.knowledge.tsx | 2 +- public/embed-example.html | 6 +- public/toc.json | 10 +- stories/ArticlesNav.stories.ts | 2 +- stories/Button.stories.tsx | 2 +- stories/ContentB.stories.tsx | 4 +- stories/MobileNav.stories.tsx | 2 +- stories/Nav.stories.ts | 2 +- stories/SearchResults.stories.tsx | 2 +- 23 files changed, 227 insertions(+), 230 deletions(-) diff --git a/app/components/Chatbot/index.tsx b/app/components/Chatbot/index.tsx index b3354d59..8d3c119e 100644 --- a/app/components/Chatbot/index.tsx +++ b/app/components/Chatbot/index.tsx @@ -188,7 +188,7 @@ const SplashScreen = ({

Hi there, I’m Stampy.

-

I can answer your questions about AI Safety.

+

I can answer your questions about AI safety.

( classNameTable={'content-box-table main'} title={ <> -
New to AI Safety?
+
New to AI safety?
Jump into the basics.
} diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index 68acd831..5982975a 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -4,7 +4,7 @@ import {helpUrl} from '~/routesMapper' const helpItems = [ { - title: 'Start a career in AI Safety', + title: 'Start a career in AI safety', description: 'For both technical and non-technical roles in AI alignment, governance, and field-building', impact: 'Highest direct impact', diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index 5215ba65..20b7e8cd 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -21,9 +21,9 @@ const HelpItem = ({
{title && ( -

+

{title} - {tag && {tag}} + {tag && {tag}}

)}

{children}

diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index af76e88a..268765bd 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -47,7 +47,7 @@ const HelpMethods = ({ {current !== 'career' && ( { )} {isMenu && ( (window.location.href = '/chat/')} /> diff --git a/app/components/Nav/index.tsx b/app/components/Nav/index.tsx index bb32b568..2b63efdf 100644 --- a/app/components/Nav/index.tsx +++ b/app/components/Nav/index.tsx @@ -33,7 +33,7 @@ export const Nav = ({toc, categories}: NavProps) => { primary={true} link="/chat/" icon={} - text="AI Safety Chatbot" + text="AI safety Chatbot" reload />
  • diff --git a/app/mocks/coda-responses/cached-coda-responses.json b/app/mocks/coda-responses/cached-coda-responses.json index 7bc1bd46..05217327 100644 --- a/app/mocks/coda-responses/cached-coda-responses.json +++ b/app/mocks/coda-responses/cached-coda-responses.json @@ -722,7 +722,7 @@ }, "Last Asked On Discord": "2023-03-01T13:11:03.337+01:00", "Alternate Phrasings": "", - "Rich Text": "```In addition to the need to define a robust [objective](https://www.alignmentforum.org/tag/value-learning) for an Artificial General Intelligence (AGI) to pursue, we expect to run into some technical issues in the quest to [align it](/?state=7762&question=What%20are%20the%20%22win%20conditions%22%20for%20AI%20alignment%3F). Here are some of these issues.\n\n- [Specification gaming](https://www.deepmind.com/blog/specification-gaming-the-flip-side-of-ai-ingenuity) happens when an agent pursues an objective that is coherent with what you asked of it but not with what you intended, i.e. [be careful what you wish for](https://tvtropes.org/pmwiki/pmwiki.php/Main/LiteralGenie), especially with [genies](https://www.lesswrong.com/posts/GNnHHmm8EzePmKzPk/value-is-fragile). This is known as an [outer alignment](https://www.alignmentforum.org/tag/outer-alignment) failure.\n\n- [Goal misgeneralisation](https://deepmindsafetyresearch.medium.com/goal-misgeneralisation-why-correct-specifications-arent-enough-for-correct-goals-cf96ebc60924) happens when the agent learns a goal that gives it high marks during training but diverges from the intended goal when the environment changes such as in the [Coinrun](https://www.youtube.com/watch?v=zkbPdEHEyEI&t=394s) example where the bot learns to go to the right of the level instead of getting the coin as intended. This is known as an [inner alignment](https://www.alignmentforum.org/tag/inner-alignment) failure.\n\n- Most ML programs currently in use (including Large Language Models such as ChatGPT) are black boxes: we don’t know how to inspect them to understand what they have learned during a training run. This means we would be unable to do a pre-flight check for misalignment before launching an AGI. [Interpretability](https://www.alignmentforum.org/tag/interpretability-ml-and-ai) attempts to understand the inner workings of such models.d\n\n- If we were to detect an issue with an AGI after launching it, we have reason to believe that we might not be able to [stop it](https://www.youtube.com/watch?v=3TYT1QfdfsM) or [correct its path](https://www.alignmentforum.org/tag/corrigibility).\n\n- It is possible that an AGI might be aligned during its training phase and take a [sharp left turn](https://www.alignmentforum.org/tag/sharp-left-turn) into unaligned territory when its capacities increase.\n\nSee also [Concrete Problems in AI Safety](https://arxiv.org/abs/1606.06565).\n\n```" + "Rich Text": "```In addition to the need to define a robust [objective](https://www.alignmentforum.org/tag/value-learning) for an Artificial General Intelligence (AGI) to pursue, we expect to run into some technical issues in the quest to [align it](/?state=7762&question=What%20are%20the%20%22win%20conditions%22%20for%20AI%20alignment%3F). Here are some of these issues.\n\n- [Specification gaming](https://www.deepmind.com/blog/specification-gaming-the-flip-side-of-ai-ingenuity) happens when an agent pursues an objective that is coherent with what you asked of it but not with what you intended, i.e. [be careful what you wish for](https://tvtropes.org/pmwiki/pmwiki.php/Main/LiteralGenie), especially with [genies](https://www.lesswrong.com/posts/GNnHHmm8EzePmKzPk/value-is-fragile). This is known as an [outer alignment](https://www.alignmentforum.org/tag/outer-alignment) failure.\n\n- [Goal misgeneralisation](https://deepmindsafetyresearch.medium.com/goal-misgeneralisation-why-correct-specifications-arent-enough-for-correct-goals-cf96ebc60924) happens when the agent learns a goal that gives it high marks during training but diverges from the intended goal when the environment changes such as in the [Coinrun](https://www.youtube.com/watch?v=zkbPdEHEyEI&t=394s) example where the bot learns to go to the right of the level instead of getting the coin as intended. This is known as an [inner alignment](https://www.alignmentforum.org/tag/inner-alignment) failure.\n\n- Most ML programs currently in use (including Large Language Models such as ChatGPT) are black boxes: we don’t know how to inspect them to understand what they have learned during a training run. This means we would be unable to do a pre-flight check for misalignment before launching an AGI. [Interpretability](https://www.alignmentforum.org/tag/interpretability-ml-and-ai) attempts to understand the inner workings of such models.d\n\n- If we were to detect an issue with an AGI after launching it, we have reason to believe that we might not be able to [stop it](https://www.youtube.com/watch?v=3TYT1QfdfsM) or [correct its path](https://www.alignmentforum.org/tag/corrigibility).\n\n- It is possible that an AGI might be aligned during its training phase and take a [sharp left turn](https://www.alignmentforum.org/tag/sharp-left-turn) into unaligned territory when its capacities increase.\n\nSee also [Concrete Problems in AI safety](https://arxiv.org/abs/1606.06565).\n\n```" } }, { @@ -2078,7 +2078,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```According to [Lao Mein](https://www.lesswrong.com/users/lao-mein)‘s personal experience, “[AI safety is almost non-existent in China](https://www.lesswrong.com/posts/zjym2uaPsg9n3EjY6/ai-safety-in-china-part-2)”. Lao estimates that there are no more than 20 Chinese residents holding a job in the field of AI Safety, including one organization named Anyuan (安远), working on field-building.\n\nLao presents their assessment of the state of AI safety in China in the two posts on LessWrong ([1](https://www.lesswrong.com/posts/EAwe7smpmFQi2653G/my-assessment-of-the-chinese-ai-safety-community), [2](https://www.lesswrong.com/posts/zjym2uaPsg9n3EjY6/ai-safety-in-china-part-2)), which were written largely in the context of the discourse regarding AI-related regulations being drafted by the Chinese Communist Party, which sparked some enthusiasm regarding Western-Chinese collaboration in managing and navigating the development of powerful artificial intelligence (see: [Does China have any AI regulations?](/?state=9AL3&question=Does%20China%20have%20any%20AI%20regulations%3F)).\n\nOn the other hand, according to [James Marshall’s article published in WIRED](https://www.wired.com/story/china-usa-ai-dangers/), the president of the [Beijing Academy of Artificial Intelligence (BAAI)](https://en.wikipedia.org/wiki/Beijing_Academy_of_Artificial_Intelligence) Zhang Hongjiang sees the Chinese community of researchers as deeply concerned about risks posed by development of powerful AI, although historically, BAAI has been focused on more immediate, rather than existential risks. However, the concern itself is not a sufficient reason to motivate the action to slow down the development of AI, as many researchers (including Zhang Hongjiang himself) believe that smarter AI systems may actually be safer or easier to align.\n\n```" + "Rich Text": "```According to [Lao Mein](https://www.lesswrong.com/users/lao-mein)‘s personal experience, “[AI safety is almost non-existent in China](https://www.lesswrong.com/posts/zjym2uaPsg9n3EjY6/ai-safety-in-china-part-2)”. Lao estimates that there are no more than 20 Chinese residents holding a job in the field of AI safety, including one organization named Anyuan (安远), working on field-building.\n\nLao presents their assessment of the state of AI safety in China in the two posts on LessWrong ([1](https://www.lesswrong.com/posts/EAwe7smpmFQi2653G/my-assessment-of-the-chinese-ai-safety-community), [2](https://www.lesswrong.com/posts/zjym2uaPsg9n3EjY6/ai-safety-in-china-part-2)), which were written largely in the context of the discourse regarding AI-related regulations being drafted by the Chinese Communist Party, which sparked some enthusiasm regarding Western-Chinese collaboration in managing and navigating the development of powerful artificial intelligence (see: [Does China have any AI regulations?](/?state=9AL3&question=Does%20China%20have%20any%20AI%20regulations%3F)).\n\nOn the other hand, according to [James Marshall’s article published in WIRED](https://www.wired.com/story/china-usa-ai-dangers/), the president of the [Beijing Academy of Artificial Intelligence (BAAI)](https://en.wikipedia.org/wiki/Beijing_Academy_of_Artificial_Intelligence) Zhang Hongjiang sees the Chinese community of researchers as deeply concerned about risks posed by development of powerful AI, although historically, BAAI has been focused on more immediate, rather than existential risks. However, the concern itself is not a sufficient reason to motivate the action to slow down the development of AI, as many researchers (including Zhang Hongjiang himself) believe that smarter AI systems may actually be safer or easier to align.\n\n```" } }, { @@ -3340,7 +3340,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```\n\n- The [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) ([podcast](https://alignment-newsletter.libsyn.com/)), [Import AI newsletter](https://jack-clark.net/), [ML Safety Newsletter](https://substack.com/profile/1681894-dan-hendrycks), [Alignment Forum](https://www.alignmentforum.org/), and [AGI Control Problem Subreddit](https://www.reddit.com/r/ControlProblem/), [80k's AI Safety group](https://groups.google.com/g/david-kruegers-80k-people), [AI Safety Discussion](https://www.facebook.com/groups/aisafety/) - "This group is primarily for people who have experience in AI/ML and/or are familiar with AI safety. We encourage beginners to join the [AI Safety Discussion (Open)](https://www.facebook.com/groups/aisafetyopen/) group.", [AI Safety Core](https://twitter.com/i/lists/1185207859728076800) twitter, [AI Alignment Slack group](https://join.slack.com/t/ai-alignment/shared_invite/zt-fkgwbd2b-kK50z~BbVclOZMM9UP44gw), \n\n```" + "Rich Text": "```\n\n- The [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) ([podcast](https://alignment-newsletter.libsyn.com/)), [Import AI newsletter](https://jack-clark.net/), [ML Safety Newsletter](https://substack.com/profile/1681894-dan-hendrycks), [Alignment Forum](https://www.alignmentforum.org/), and [AGI Control Problem Subreddit](https://www.reddit.com/r/ControlProblem/), [80k's AI safety group](https://groups.google.com/g/david-kruegers-80k-people), [AI safety Discussion](https://www.facebook.com/groups/aisafety/) - "This group is primarily for people who have experience in AI/ML and/or are familiar with AI safety. We encourage beginners to join the [AI safety Discussion (Open)](https://www.facebook.com/groups/aisafetyopen/) group.", [AI safety Core](https://twitter.com/i/lists/1185207859728076800) twitter, [AI Alignment Slack group](https://join.slack.com/t/ai-alignment/shared_invite/zt-fkgwbd2b-kK50z~BbVclOZMM9UP44gw), \n\n```" } }, { @@ -3399,7 +3399,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Do you need a PhD to work on AI Safety?", + "name": "Do you need a PhD to work on AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", "tableId": "grid-sync-1059-File", "rowId": "i-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", @@ -3675,13 +3675,13 @@ "id": "i-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", - "name": "Do you need a PhD to work on AI Safety?", + "name": "Do you need a PhD to work on AI safety?", "index": 169, "createdAt": "2023-01-14T12:58:12.344Z", "updatedAt": "2023-08-06T17:10:54.869Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", "values": { - "Edit Answer": "**[Do you need a PhD to work on AI Safety?](https://docs.google.com/document/d/1pklHjRSAqA7P3NQCKvlA_Eq1SZFChPw5aAXknqBVKVo/edit?usp=drivesdk)**", + "Edit Answer": "**[Do you need a PhD to work on AI safety?](https://docs.google.com/document/d/1pklHjRSAqA7P3NQCKvlA_Eq1SZFChPw5aAXknqBVKVo/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -3716,7 +3716,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Do you need a PhD to work on AI Safety?\n```", + "All Phrasings": "```Do you need a PhD to work on AI safety?\n```", "UI ID": "```5639```", "Link": { "@context": "http://schema.org/", @@ -3915,7 +3915,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Notes:\n\n- [Shay](https://www.aisafetysupport.org/resources/shay) is already doing this for health coaching. Talk to AI Safety Support\n\n- Offer free (or paid if you’re financially constrained) coaching\n\n- If you get good reviews that you actually help people, apply for funding\n\nYes you can! You can check out [AI Safety Support's resources](https://www.aisafetysupport.org/resources) for examples on the format this could take.\n\nIf you get good reviews and actually help these researchers, you might eventually get funded by external organisations.\n\n```" + "Rich Text": "```Notes:\n\n- [Shay](https://www.aisafetysupport.org/resources/shay) is already doing this for health coaching. Talk to AI safety Support\n\n- Offer free (or paid if you’re financially constrained) coaching\n\n- If you get good reviews that you actually help people, apply for funding\n\nYes you can! You can check out [AI safety Support's resources](https://www.aisafetysupport.org/resources) for examples on the format this could take.\n\nIf you get good reviews and actually help these researchers, you might eventually get funded by external organisations.\n\n```" } }, { @@ -6229,7 +6229,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -7560,7 +7560,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -8965,7 +8965,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```One possible option is to apply to [AI Safety Camp](http://aisafety.camp) as a research lead. If accepted, you’ll get help to recruit a team to work on your project. Currently AI Safety Camp is only running online programs, but they have done in person events in the past, and might do this again in the future.\n\nAnother option is to join the [Alignment Slack](https://bit.ly/3HiXUrv), or any other [AI safety community](http://aisafety.community), and offer your mentorship and/or recruit your research team there. You can also make a post on [LessWrong](http://lesswrong.com).\n\nIf you need funding, [see here](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\n```" + "Rich Text": "```One possible option is to apply to [AI safety Camp](http://aisafety.camp) as a research lead. If accepted, you’ll get help to recruit a team to work on your project. Currently AI safety Camp is only running online programs, but they have done in person events in the past, and might do this again in the future.\n\nAnother option is to join the [Alignment Slack](https://bit.ly/3HiXUrv), or any other [AI safety community](http://aisafety.community), and offer your mentorship and/or recruit your research team there. You can also make a post on [LessWrong](http://lesswrong.com).\n\nIf you need funding, [see here](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\n```" } }, { @@ -9024,7 +9024,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```We’re still working on this answer. Check back later, and in the meantime, see [AI Safety Support](https://www.aisafetysupport.org/) for advice.\n\n```" + "Rich Text": "```We’re still working on this answer. Check back later, and in the meantime, see [AI safety Support](https://www.aisafetysupport.org/) for advice.\n\n```" } }, { @@ -9093,7 +9093,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Consider working on tools in the AI alignment ecosystem, like [Stampy’s AI Safety Info](http://stampy.ai) or [Impact Markets](https://impactmarkets.io/). You could also take a look at [Alignment Ecosystem Development](https://alignment.dev/), or at [AI Safety Ideas](https://aisafetyideas.com/) for research ideas. If you have another idea, consider forging a path somehow and making that happen.\n\n```" + "Rich Text": "```Consider working on tools in the AI alignment ecosystem, like [Stampy’s AI safety Info](http://stampy.ai) or [Impact Markets](https://impactmarkets.io/). You could also take a look at [Alignment Ecosystem Development](https://alignment.dev/), or at [AI safety Ideas](https://aisafetyideas.com/) for research ideas. If you have another idea, consider forging a path somehow and making that happen.\n\n```" } }, { @@ -9162,7 +9162,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Here are some things you could try:\n\n- Come along to [Alignment Ecosystem Development](https://alignment.dev/) calls.\n\n- Take a look at [80,000 Hours](https://80000hours.org/) and its [jobs board](https://jobs.80000hours.org/).\n\n- Attend a local EA group, or a LessWrong meetup, or EA Global, to find people to talk to; or organize your own meetup.\n\n- Have a [navigation call](https://aisafety.quest/#calls) with AI Safety Quest.\n\n- Read widely about the problem and keep it in your mind for your subconscious to work on.\n\n- Read [AGI Safety Needs People With All Skillsets](https://www.lesswrong.com/posts/onBLAcQqmDZDKyDEJ/agi-safety-needs-people-with-all-skillsets).\n\n```" + "Rich Text": "```Here are some things you could try:\n\n- Come along to [Alignment Ecosystem Development](https://alignment.dev/) calls.\n\n- Take a look at [80,000 Hours](https://80000hours.org/) and its [jobs board](https://jobs.80000hours.org/).\n\n- Attend a local EA group, or a LessWrong meetup, or EA Global, to find people to talk to; or organize your own meetup.\n\n- Have a [navigation call](https://aisafety.quest/#calls) with AI safety Quest.\n\n- Read widely about the problem and keep it in your mind for your subconscious to work on.\n\n- Read [AGI Safety Needs People With All Skillsets](https://www.lesswrong.com/posts/onBLAcQqmDZDKyDEJ/agi-safety-needs-people-with-all-skillsets).\n\n```" } }, { @@ -12470,7 +12470,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```Won't keeping an AGI under strict supervision suffice to keep it safe?```", - "Rich Text": "```While an AI is relatively weak, a human supervisor might be able to make sure that it isn’t doing anything dangerous. However, even at this stage certain problems arise.\n\n For example, the human supervisor is much slower than a computer system, so it will slow down any action that the system wants to take. For example, if a human being had to evaluate every algorithmic stock purchase before it bought or sold, it would slow the system down enough to lose much of the benefit.\n\n\n\n[As the AI becomes more intelligent, it can craft plans whose implications are lost on the supervisor.](https://www.alignmentforum.org/posts/KbyRPCAsWv5GtfrbG/the-alignment-problem-from-a-deep-learning-perspective#Phase_3__generalizing_goals_beyond_human_supervision) The supervisor may not be able to fully understand the plans and come to rely on other artificial systems for help. But if those systems are also superintelligent the same concerns would apply.\n\nFurthermore, the AI could learn how to persuade the human supervisor most effectively, using rhetoric and other sales tricks to convince them to take the action.\n\nFrom a pragmatic perspective, even if this had some possibility of working, the advantages of autonomous use will be attractive to at least some developers and users and they will deploy autonomous systems. Even at the current level of development, people have started using AutoGPT which is able to generate tasks and “make decisions” autonomously. \n\n```" + "Rich Text": "```While an AI is relatively weak, a human supervisor might be able to make sure that it isn’t doing anything dangerous. However, even at this stage certain problems arise.\n\n For example, the human supervisor is much slower than a computer system, so it will slow down any action that the system wants to take. For example, if a human being had to evaluate every algorithmic stock purchase before it bought or sold, it would slow the system down enough to lose much of the benefit.\n\n\n\n[As the AI becomes more intelligent, it can craft plans whose implications are lost on the supervisor.](https://www.alignmentforum.org/posts/KbyRPCAsWv5GtfrbG/the-alignment-problem-from-a-deep-learning-perspective#Phase_3__generalizing_goals_beyond_human_supervision) The supervisor may not be able to fully understand the plans and come to rely on other artificial systems for help. But if those systems are also superintelligent the same concerns would apply.\n\nFurthermore, the AI could learn how to persuade the human supervisor most effectively, using rhetoric and other sales tricks to convince them to take the action.\n\nFrom a pragmatic perspective, even if this had some possibility of working, the advantages of autonomous use will be attractive to at least some developers and users and they will deploy autonomous systems. Even at the current level of development, people have started using AutoGPT which is able to generate tasks and “make decisions” autonomously. \n\n```" } }, { @@ -16731,7 +16731,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```**Purpose:** inform and convince individuals of the possibility of superintelligence\n\n**Audience**: General audiences who are starting to learn about superintelligence but have their doubts, also technical individuals who want a high level summary\n\n**Length**: This is slightly on the longer side but feels important to have a bit of a nuanced and strongly argumentative stance\n\nThe rise of superintelligent AI systems poses significant potential risks that are increasingly being recognized by experts in the field. Leaders from prominent AI research organizations, such as OpenAI, Google DeepMind, and Anthropic, have expressed concerns over the potential for AI to pose an existential risk to humanity. They point out that it's conceivable that within the next decade, AI systems could exceed human skill level in most domains and carry out productive activity comparable to today's largest corporations. This power, while having the potential to create a significantly prosperous future, also carries risks that need to be managed proactively rather than if/when things get out of hand..\n\nThe Centre for AI Safety has listed several disaster scenarios that could occur due to the rise of superintelligent AI. These scenarios include the weaponization of AI, AI-generated misinformation that could destabilize society, the concentration of AI power into fewer hands, and human over-dependence on AI, leading to a situation similar to the one portrayed in the film Wall-E. The Centre has emphasized that mitigating the risk of extinction from AI should be a global priority, on par with other societal-scale risks such as pandemics and nuclear war​​.\n\nHowever, it's important to note that there's a diversity of opinions on the subject. Some experts, like Arvind Narayanan, a computer scientist at Princeton University, argue that current AI is not capable enough for these risks to materialize and that the focus on these distant risks can distract from more immediate AI-related harms. Other concerns raised include biased automated decision-making, the spread of misinformation, and increased inequality, particularly for those on the wrong side of the digital divide​​.\n\nIn response to these risks, OpenAI's leaders have called for the regulation of "superintelligent" AI, arguing for an international regulator to inspect systems, require audits, test for compliance with safety standards, and place restrictions on degrees of deployment and levels of security. They also call for some degree of coordination among companies working on cutting-edge AI research to ensure that the development of ever-more powerful models integrates smoothly with society while prioritizing safety​.\n\nDespite these risks, OpenAI's leaders believe that the continued development of powerful AI systems is worth the risk, as they could lead to a much better world than what we can imagine today. They caution that pausing development could also be dangerous, as the cost to build AI decreases each year, the number of actors building it is rapidly increasing, and it's inherently part of the technological path we are on. They suggest that stopping it would require something like a global surveillance regime, which isn't guaranteed to work. Therefore, the focus should be on getting it right rather than stopping it​​.\n\n*If you’re curious and want to keep reading:**[https://www.theguardian.com/technology/2023/may/24/openai-leaders-call-regulation-prevent-ai-destroying-humanity](https://www.theguardian.com/technology/2023/may/24/openai-leaders-call-regulation-prevent-ai-destroying-humanity)*\n\n*[https://www.bbc.com/news/uk-65746524](https://www.bbc.com/news/uk-65746524)* \n\n*[https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/1501227742](https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/1501227742)* \n\n```" + "Rich Text": "```**Purpose:** inform and convince individuals of the possibility of superintelligence\n\n**Audience**: General audiences who are starting to learn about superintelligence but have their doubts, also technical individuals who want a high level summary\n\n**Length**: This is slightly on the longer side but feels important to have a bit of a nuanced and strongly argumentative stance\n\nThe rise of superintelligent AI systems poses significant potential risks that are increasingly being recognized by experts in the field. Leaders from prominent AI research organizations, such as OpenAI, Google DeepMind, and Anthropic, have expressed concerns over the potential for AI to pose an existential risk to humanity. They point out that it's conceivable that within the next decade, AI systems could exceed human skill level in most domains and carry out productive activity comparable to today's largest corporations. This power, while having the potential to create a significantly prosperous future, also carries risks that need to be managed proactively rather than if/when things get out of hand..\n\nThe Centre for AI safety has listed several disaster scenarios that could occur due to the rise of superintelligent AI. These scenarios include the weaponization of AI, AI-generated misinformation that could destabilize society, the concentration of AI power into fewer hands, and human over-dependence on AI, leading to a situation similar to the one portrayed in the film Wall-E. The Centre has emphasized that mitigating the risk of extinction from AI should be a global priority, on par with other societal-scale risks such as pandemics and nuclear war​​.\n\nHowever, it's important to note that there's a diversity of opinions on the subject. Some experts, like Arvind Narayanan, a computer scientist at Princeton University, argue that current AI is not capable enough for these risks to materialize and that the focus on these distant risks can distract from more immediate AI-related harms. Other concerns raised include biased automated decision-making, the spread of misinformation, and increased inequality, particularly for those on the wrong side of the digital divide​​.\n\nIn response to these risks, OpenAI's leaders have called for the regulation of "superintelligent" AI, arguing for an international regulator to inspect systems, require audits, test for compliance with safety standards, and place restrictions on degrees of deployment and levels of security. They also call for some degree of coordination among companies working on cutting-edge AI research to ensure that the development of ever-more powerful models integrates smoothly with society while prioritizing safety​.\n\nDespite these risks, OpenAI's leaders believe that the continued development of powerful AI systems is worth the risk, as they could lead to a much better world than what we can imagine today. They caution that pausing development could also be dangerous, as the cost to build AI decreases each year, the number of actors building it is rapidly increasing, and it's inherently part of the technological path we are on. They suggest that stopping it would require something like a global surveillance regime, which isn't guaranteed to work. Therefore, the focus should be on getting it right rather than stopping it​​.\n\n*If you’re curious and want to keep reading:**[https://www.theguardian.com/technology/2023/may/24/openai-leaders-call-regulation-prevent-ai-destroying-humanity](https://www.theguardian.com/technology/2023/may/24/openai-leaders-call-regulation-prevent-ai-destroying-humanity)*\n\n*[https://www.bbc.com/news/uk-65746524](https://www.bbc.com/news/uk-65746524)* \n\n*[https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/1501227742](https://www.amazon.com/Superintelligence-Dangers-Strategies-Nick-Bostrom/dp/1501227742)* \n\n```" } }, { @@ -16979,7 +16979,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```**[Recursive self-improvement](https://www.alignmentforum.org/tag/recursive-self-improvement)** **(RSI)** is a process by which an AI agent could theoretically improve itself, leading to further self-improvements in a continuing feedback loop. For example, an AI capable of human-level AI research might improve itself much more rapidly by making adjustments to its own architecture (software or hardware) that lead to improved performance, enabling it to make further adjustments that lead to even more improved performance, in a cycle of increasingly advanced capabilities that could far surpass humans.\n\n\n\n \n\nHumans can self-improve, but only very slowly, because it is difficult, expensive and risky to interfere with our biology, and most of our methods for doing this are comparatively new or theoretical (e.g. neurosurgery, nootropics, cognitive implants). AI agents, on the other hand, can be copied, edited and run on new hardware in seconds, and the time and effort to improve their architecture is comparatively small.\n\nEach cycle of self-improvement could reach [ever-higher levels of capabilities](https://www.lesswrong.com/posts/8NKu9WES7KeKRWEKK/why-all-the-fuss-about-recursive-self-improvement), and even [a slow AI takeoff](https://www.google.com/url?q=https://docs.google.com/document/d/1WvBwRuEPtnqgMX6SzEz0n_U0PJluE2Yc5hZ6Zn3gCqo/edit&sa=D&source=docs&ust=1696224888083829&usg=AOvVaw0LZ8mDQ40Pd_EFim7OwR3S) could leave us with AI agents that are superior to humans. However, few AI systems are designed to pursue recursive self-improvement as an explicit goal, and this would in any case be a difficult goal to set safely (“get better at everything, really quickly” is probably a bad idea).\n\nAlso, not everybody agrees that [RSI is even possible](/?state=8AEL&question=Is%20recursive%20self%20improvement%20possible%3F). [François Chollet argued in 2017](https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec) for a broader definition of the term, which assigns it to science and human civilization rather than specific AI agents; [Eliezer Yudkowsky wrote a rebuttal shortly after](https://intelligence.org/2017/12/06/chollet/). If RSI is possible, [it is unlikely](/?state=904N&question=Why%20would%20the%20first%20Artificial%20General%20Intelligence%20ever%20create%20or%20agree%20to%20the%20creation%20of%20another%20AGI%3F) that an AI agent would choose not to pursue this strategy given the benefits it could provide, since it may be an [instrumentally convergent](https://aisafety.info?state=897I_) path. \n\n```" + "Rich Text": "```**[Recursive self-improvement](https://www.alignmentforum.org/tag/recursive-self-improvement)** **(RSI)** is a process by which an AI agent could theoretically improve itself, leading to further self-improvements in a continuing feedback loop. For example, an AI capable of human-level AI research might improve itself much more rapidly by making adjustments to its own architecture (software or hardware) that lead to improved performance, enabling it to make further adjustments that lead to even more improved performance, in a cycle of increasingly advanced capabilities that could far surpass humans.\n\n\n\n \n\nHumans can self-improve, but only very slowly, because it is difficult, expensive and risky to interfere with our biology, and most of our methods for doing this are comparatively new or theoretical (e.g. neurosurgery, nootropics, cognitive implants). AI agents, on the other hand, can be copied, edited and run on new hardware in seconds, and the time and effort to improve their architecture is comparatively small.\n\nEach cycle of self-improvement could reach [ever-higher levels of capabilities](https://www.lesswrong.com/posts/8NKu9WES7KeKRWEKK/why-all-the-fuss-about-recursive-self-improvement), and even [a slow AI takeoff](https://www.google.com/url?q=https://docs.google.com/document/d/1WvBwRuEPtnqgMX6SzEz0n_U0PJluE2Yc5hZ6Zn3gCqo/edit&sa=D&source=docs&ust=1696224888083829&usg=AOvVaw0LZ8mDQ40Pd_EFim7OwR3S) could leave us with AI agents that are superior to humans. However, few AI systems are designed to pursue recursive self-improvement as an explicit goal, and this would in any case be a difficult goal to set safely (“get better at everything, really quickly” is probably a bad idea).\n\nAlso, not everybody agrees that [RSI is even possible](/?state=8AEL&question=Is%20recursive%20self%20improvement%20possible%3F). [François Chollet argued in 2017](https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec) for a broader definition of the term, which assigns it to science and human civilization rather than specific AI agents; [Eliezer Yudkowsky wrote a rebuttal shortly after](https://intelligence.org/2017/12/06/chollet/). If RSI is possible, [it is unlikely](/?state=904N&question=Why%20would%20the%20first%20Artificial%20General%20Intelligence%20ever%20create%20or%20agree%20to%20the%20creation%20of%20another%20AGI%3F) that an AI agent would choose not to pursue this strategy given the benefits it could provide, since it may be an [instrumentally convergent](https://aisafety.info?state=897I_) path. \n\n```" } }, { @@ -17138,7 +17138,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```The level of existential risk due to artificial intelligence is still a controversial topic among experts, and there is no clear consensus on how much risk there is. For example, Yann LeCun, one of three “godfathers of AI”, believes that safe AI will be easy enough that there’s no need for concern. However, a growing number of leading experts are now warning us of the dangers of advanced AI.\n\nThe other two godfathers of AI, Yoshua Bengio and Geoffrey Hinton, have both spoken out extensively on existential risk. The Center for AI Safety wrote a [statement on AI risk](https://www.safe.ai/statement-on-ai-risk) signed by more than 350 executives, researchers, and engineers, including Sam Altman (CEO of OpenAI), Demis Hassabis (CEO of DeepMind), and Dario Amodei (CEO of Anthropic). An [open letter](https://futureoflife.org/open-letter/pause-giant-ai-experiments/) from the Future of Life Institute was signed by over 33,000 people, including many AI experts, calling for a moratorium on AI research.\n\nThe Metaculus surveys provide another datapoint by periodically asking AI experts what their long term view is on AI impacts. In the [most recent impact survey](https://www.metaculus.com/prediction/12295/a-public-prediction-by-ai-impacts--expert-survey/) the median respondent believed there was a 5% chance of long-run effects of advanced AI at the level of human extinction.\n\nOverall, the conversation around existential risk has grown rapidly with the commercial attention on generative AI models and will continue to evolve. There is a recent trend towards the position that there is significant existential risk, but that trend may or may not continue, and it will take more time before any consensus can form.\n\n## Alternative phrasing\n\nWhat do AI experts think about AI alignment?\n\n```" + "Rich Text": "```The level of existential risk due to artificial intelligence is still a controversial topic among experts, and there is no clear consensus on how much risk there is. For example, Yann LeCun, one of three “godfathers of AI”, believes that safe AI will be easy enough that there’s no need for concern. However, a growing number of leading experts are now warning us of the dangers of advanced AI.\n\nThe other two godfathers of AI, Yoshua Bengio and Geoffrey Hinton, have both spoken out extensively on existential risk. The Center for AI safety wrote a [statement on AI risk](https://www.safe.ai/statement-on-ai-risk) signed by more than 350 executives, researchers, and engineers, including Sam Altman (CEO of OpenAI), Demis Hassabis (CEO of DeepMind), and Dario Amodei (CEO of Anthropic). An [open letter](https://futureoflife.org/open-letter/pause-giant-ai-experiments/) from the Future of Life Institute was signed by over 33,000 people, including many AI experts, calling for a moratorium on AI research.\n\nThe Metaculus surveys provide another datapoint by periodically asking AI experts what their long term view is on AI impacts. In the [most recent impact survey](https://www.metaculus.com/prediction/12295/a-public-prediction-by-ai-impacts--expert-survey/) the median respondent believed there was a 5% chance of long-run effects of advanced AI at the level of human extinction.\n\nOverall, the conversation around existential risk has grown rapidly with the commercial attention on generative AI models and will continue to evolve. There is a recent trend towards the position that there is significant existential risk, but that trend may or may not continue, and it will take more time before any consensus can form.\n\n## Alternative phrasing\n\nWhat do AI experts think about AI alignment?\n\n```" } }, { @@ -17404,7 +17404,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -17493,7 +17493,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```**[[NOTE TO EDITORS: This page is being deprecated in favor of** [What is everyone working on in AI alignment?](/?state=8392&question=What%20is%20everyone%20working%20on%20in%20AI%20alignment%3F)**and organization/researcher pages linked to from that page)**\n\n### **Industry**\n\n[Anthropic](http://anthropic.com):\n\n- [Honest Harmless Helpful Language Model](https://arxiv.org/abs/2112.00861) [Language Models] (Askell, 2021) - Using prompting as a baseline to study the idea of aligning an LLM. Basic attempts seem to scale well with model size, presumably because they rely on the capabilities of the model to interpret the prompt. This paper primarily focuses on experimenting with evaluation methods.\n\n- [Part 2](https://arxiv.org/abs/2204.05862) [Reinforcement Learning, Language Models] (Bai, 2022) - A more significant approach than the first HHH paper, using reinforcement learning from human feedback and preference modeling to finetune the LMs. Further work is done testing and analyzing the robustness of the training method, calibration of the preference models, competing objectives and out-of-distribution detection.\n\n- [Mathematical Framework for Transformer Circuits](https://transformer-circuits.pub/2021/framework/index.html) [Interpretability] (Elhage, Nanda, 2021) - The idea of circuits was first applied to CNNs in the case of vision, but recent large models (especially for language) use transformers in their architecture. This paper is meant to begin filling that gap. Contains a reference to a [second paper](https://transformer-circuits.pub/2022/in-context-learning-and-induction-heads/index.html) which has some more significant results. Specifically, the idea of “induction heads”, which are attention heads which allow for in-context learning.\n\n- [Language Models (Mostly) Know What they Know](https://arxiv.org/abs/2207.05221) [Language Models, Calibrated Uncertainty] (Kadavath, Kaplan, 2022) - Tasks LMs with predicting which questions they will get correct, and whether their own claims are valid. Preliminary results are encouraging; generally the models are calibrated to the probability their answers are correct, after proposing them. Calibration is worse when the question becomes “Do you know the answer to x?”, but improves when given extra source material to work with.\n\n[DeepMind Safety Team](https://deepmindsafetyresearch.medium.com/): \n\n- [AI Safety Gridworlds](https://arxiv.org/abs/1711.09883) [Engineering] (Leike et al, 2017) - Environments designed to keep track of a distinct reward and ‘safety objective’, of which the learning agent only has access to the first.\n\n- [Goal Misgeneralization](https://arxiv.org/abs/2210.01790) [Reinforcement Learning] (Shah, et al., 2022) - While there is already a risk of failing to correctly specify the designer’s desired goal in a learning system, this paper focuses on examples of learning algorithms acted towards undesired goals even when the specification is correct. Here, the algorithm competently pursues this undesired goal during deployment/test time despite achieving high training accuracy.\n\n- [Model-Free Risk-Sensitive RL](https://arxiv.org/abs/2111.02907) [Reinforcement Learning] (Delétang, et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/model-free-risk-sensitive-reinforcement-learning-5a12ba5ce662) - A way of updating value estimates in a RL agent which is somewhat based on risk-sensitivity in portfolio analysis for investments. More specifically, an extension of temporal-difference learning which can also be approached as a Rescorla-Wagner model in classical conditioning with the stimulus being the estimation error in some direction.\n\n- [Using Causal Influence Diagrams to define/find ‘agency’](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) [Blog](https://deepmindsafetyresearch.medium.com/discovering-when-an-agent-is-present-in-a-system-41154de11e7b) - A formal framework proposal for understanding agency in terms of “systems that would adapt their policies if their actions affected the world in a different way.” The authors use this framework to derive an algorithm for discovering agents from data and translating from causal models to game theoretic influence diagrams.\n\n- [Language Model Alignment](https://arxiv.org/abs/2103.14659) [Language Models, Value Alignment] (Kenton et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/alignment-of-language-agents-9fbc7dd52c6c) - A broad paper analyzing the potential for misalignment within language models, and possible initial approaches.\n\n- [Bayesian Analysis of meta-learning](https://arxiv.org/abs/2010.11223) [Interpretability] (Mikulik et al, 2020) [Blog](https://deepmindsafetyresearch.medium.com/understanding-meta-trained-algorithms-through-a-bayesian-lens-5042a1acc1c2) - Demonstration and reverse engineering of the use of Bayes-optimal algorithms within meta-trained recurrent neural networks. Shows that Bayes-optimal agents are fixed points of the meta-learning dynamics.\n\n[OpenAI Safety Team](https://openai.com/):\n\n- [Overview of their approach](https://openai.com/blog/our-approach-to-alignment-research/): In summary, empiricism and iteration to develop a sufficiently aligned, sufficiently advanced model that can solve the theoretical problems (or just help us build better, still aligned AI)\n\n- [Circuits](https://distill.pub/2020/circuits/zoom-in/) [Interpretability] (Olah et al, 2020) - A framework for understanding how neural networks actually implement more understandable algorithms than we might initially expect, and how to find them. Primarily demonstrated within CNNs in this thread, although as shown by Anthropic seems extendable to transformers. See also [their attempt](https://distill.pub/2020/circuits/curve-circuits/) to implement a handwritten neural network layer based on these principles.\n\n- [Deep RL from Human Preferences](https://arxiv.org/abs/1706.03741) [Reinforcement Learning, Value Alignment] (Christiano et al, 2017) [Blog](https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/) - Demonstrated solving of complex tasks by learning from (non-expert) human feedback, without any access to the actual objective function.\n\n- [AI Written Critiques Help Humans Notice Flaws](https://arxiv.org/abs/2206.05802) [Reinforcement Learning, Language Models] (Saunders, Yeh, Wu, 2022) [Blog](https://openai.com/blog/critiques/) - Even though the models used are not better at writing summaries than humans, and writing summaries is not a difficult task for humans, AI assistance still increases the number of errors found by humans. Furthermore, this ability seems to scale faster than summary writing capabilities.\n\n- [AI Safety via Debate](https://arxiv.org/pdf/1805.00899.pdf) (Irving, Christiano, Amodei, 2018) - A suggested approach to simplicity specifying complex human goals by training agents to play a zero-sum debate game. Given optimal play, in theory debate can solve any problem in PSPACE given polynomial time judges, and empirically the authors were able to demonstrate significant improvements in a sparse classifier’s accuracy given 6 pixels and a debate sequence from 59.4% to 88.9%.\n\n- [Iterated Amplification](https://arxiv.org/abs/1810.08575) [Value Alignment] (Christiano, [Shlegeris](https://arxiv.org/search/cs?searchtype=author&query=Shlegeris%2C+B), Amodei, 2018) [Blog](https://openai.com/blog/amplifying-ai-training/) - a suggested approach to safety, by using weaker AIs + humans to supervise the training of more powerful AIs, in an iterative manner, to achieve any level of capability desired while maintaining our ability to catch potential errors and dangers.\n\n[Redwood Research](https://www.redwoodresearch.org/)\n\n- [Adversarial Training for High-Stakes Reliability](https://arxiv.org/abs/2205.01663) [Language Models, Robustness] (Ziegler, 2022) [Blog](https://www.alignmentforum.org/posts/n3LAgnHg6ashQK3fF/takeaways-from-our-robust-injury-classifier-project-redwood) - An attempt to weakly/partially align an LLM so as to not output text where a character was harmed or injured, by using human-assisted adversarial training on a classifier designed to prevent the model from outputting such text. As an org they are pursuing adversarial training as a method for alignment.\n\n- [Polysemanticity and Capacity in Neural Networks](https://arxiv.org/abs/2210.01892) [Interpretability] (Scherlis et al., 2022) [Blog](https://www.alignmentforum.org/posts/kWp4R9SYgKJFHAufB/polysemanticity-and-capacity-in-neural-networks) - Exploration into a phenomenon known as polysemanticity, where some neurons within ANNs represent a mixture of distinct features at once (as opposed to many others appearing to only represent one feature). This is done through the lens of capacity, which essentially asks how much dimension features require/consume when represented. Also looks at the theoretical geometry of feature space given optimal allocation.\n\n- [Interpretability in the Wild](https://arxiv.org/abs/2211.00593) [Interpretability, Language Models] (Wang et al., 2022) - A paper that seeks to apply the techniques of mechanistic interpretability on a large problem while still providing detailed results, as opposed to one or the other. Specifically, they seek an explanation for how GPT-2 performs the task of Indirect Object Identification, and then evaluate this explanation on quantitative versions of the criteria of faithfulness, completeness, and minimality.\n\n### **Academics**\n\n[Sam Bowman](https://cims.nyu.edu/~sbowman/index.shtml) (NYU, Prof) [Datasets]:\n\n- [NYU Alignment Research Group](https://wp.nyu.edu/arg/) - A new research group at NYU, with Sam Bowman as PI and researchers from various other ML, data science, and language-relevant groups at NYU such as [ML2](https://wp.nyu.edu/ml2/), focusing on empirical work with language models. See introductory post below.\n\n - [Why I Think More NLP Researchers Should Engage with AI Safety Concerns (Blog)](https://wp.nyu.edu/arg/why-ai-safety/) [Language Models] - Bowman claims we’re making progress faster than many expected and that progress is also providing a foundation for other problems without intentionally designing for them (consider GPT-3 in the realm of few-shot learning, other types of reasoning). This leaves NLP researchers potentially in an important role in the future development of AI systems and their safety, and that should at least be considered by those in the field.\n\n- [Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers](https://aclanthology.org/2021.blackboxnlp-1.42.pdf) [Interpretability, Language Models] (Phang, Liu, Bowman, 2021) - Use of centered kernel alignment to measure the similarity of representations in fine-tuned models across layers. They find strong similarities in early and later layers, but not in-between. Similarity in later layers suggests a lack of need for them, which they verify by removal.\n\n- [What Will It Take to Fix Benchmarking in NLU?](https://aclanthology.org/2021.naacl-main.385.pdf) [Datasets] (Bowman, Dahl, 2021) - Since unreliable and biased models score so highly on most NLU evaluation datasets, it is difficult to measure progress on actual improvements to the systems. Argues for four criteria such evaluation datasets should meet, and that adversarial data collection fails at improving these.\n\n- [Two Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions](https://arxiv.org/pdf/2210.10860.pdf) (Parrish, Trivedi, et al. 2022) - Answers produced by natural language models can be false yet reasonable-sounding, and in cases where responses are difficult to check this makes it difficult to trust the models. One suggested approach is the use of debate to help humans distinguish between correct and incorrect answers. [Previous research](https://arxiv.org/abs/2204.05212) has shown this is not effective in a one-step argument paradigm, and this paper shows it is not effective with two-step argument-counter arguments either, using human-produced correct and incorrect+misleading responses.\n\n[Jacob Steinhardt](https://jsteinhardt.stat.berkeley.edu/) (UC Berkeley, Assistant Prof):\n\n- [Certified Defenses Against Adversarial Examples](https://arxiv.org/pdf/1801.09344.pdf) [Robustness] (Raghunathan, Steinhardt, Liang, 2018) - Produces an adaptive regularizer based on a differentiable certificate for a one-layer neural network, which guarantees for a given network and test input, *no* attack can force the error to exceed a certain threshold. Applied to MNIST, guaranteed no attack which perturbed pixels by 0.1 could cause error to grow beyond 35%.\n\n- [Describing Differences between Text Distributions with Natural Language](https://arxiv.org/abs/2201.12323) [Language Models] (Zhong, Snell, Klein, Steinhardt, 2022) - Uses models of GPT-3 to learn summaries of the differences between distributions of text. After training this to around 76% similarity to human annotation of these datasets, they apply these outputs to do some work analyzing datasets, including describing distribution shifts.\n\n- [The Effects of Reward Misspecification](https://arxiv.org/abs/2201.03544) (Pan, Bhatia, Steinhardt, 2022) - A broader study across four RL environments on how reward hacking arises as a function of four specific agent capabilities. Generally, reward hacking increases as capabilities do, but there are also noticeable phase shifts where the true reward rapidly decreases while the proxy reward remains high.\n\n- [Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior](https://arxiv.org/pdf/2206.13498.pdf) [Interpretability] (Denain, Steinhardt, 2022) - Defines “anomalous models” from a set of “normal models”, which may include things such as backdoors or certain biases, then tests whether current transparency methods provide sufficiently different explanations. This is partially effective; certain significant differences like shape bias and adversarial training are detected, but subtler issues like training on incomplete data are not found.\n\n[Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/) (UC Berkeley):\n\n- [Open Problems in AI Safety](https://arxiv.org/abs/2109.13916) [Value Alignment, Robustness, Interpretability] (Hendrycks, 2022) - A summary and survey of four categories of problems in the field of “AI Safety”: robustness, monitoring, alignment, and systemic safety. Includes an overview of some potential research directions and papers submitted by others.\n\n- [A Critical Analysis of Out-of-Distribution Generalization](https://arxiv.org/abs/2006.16241) [Robustness, Datasets] (Hendrycks et al, 2021) - Produces four new distribution-shift image datasets, use them to test various methods that attempt to improve robustness to these types of shifts, and introduce a new method of data augmentation. They also find that certain methods are better for certain types of distribution shifts, and no method consistently improves robustness on all shifts.\n\n- [Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:5nxA0vEk-isC) [Robustness, Calibrated Uncertainty] (Hendrycks et al, 2019) - Finds that self-supervision can improve robustness to adversarial examples, label corruption, and common forms of input corruption. It was also found to improve OOD detection beyond fully supervised methods, suggesting this may be the primary approach to such a task.\n\n- [Deep Anomaly Detection with Outlier Exposure](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:Tyk-4Ss8FVUC) [Robustness] (Hendrycks et al, 2019) - One desirable trait of advanced models would be an ability to detect anomalous input (to reduce the range of successful adversarial attacks or for OOD detection). This paper explores training anomaly detectors on diverse sets of out-of-distribution data, successfully improving detection. As an additional result, models that trained on CIFAR-10 but scored higher on SVHN datasets were able to be readjusted with the anomaly detectors.\n\n- [Unsolved Problems in Machine Learning Safety](https://arxiv.org/abs/2109.13916) [Robustness, Value Alignment] (Hendrycks et al., 2021) - A paper which provides a great summary of various technical areas of work related to safety in general (including a section on alignment in particular). The following is a list of links to a few of the referenced research papers and suggested approaches, but a full read would provide many more:\n\n***Improve Adversarial and Black Swan Robustness***\n\n- [Adding to existing robustness benchmarks](https://arxiv.org/abs/1903.12261) (Hendrycks, Dietterich, 2019)\n\n- [Develop new data augmentation techniques](https://arxiv.org/abs/2112.05135) (Hendrycks et al., 2021)\n\n***Improve Model Calibration and Honesty***\n\n- Improve model calibration on typical testing data, [and testing data that is unlike the training data](https://arxiv.org/abs/1906.02530) (Ovadia et al., 2019)\n\n- [Create evaluation schemes that catch models being inconsistent](https://arxiv.org/abs/2102.01017) (Elazar et al., 2021)\n\n- Train more truthful models by incentivising models not to state falsehoods, spread misinformation or [repeat misconceptions](https://aclanthology.org/2020.acl-main.353/) (Peskov et al., 2020)\n\n***Value Alignment and Objectives***\n\n- [Develop models which learn wellbeing functions that do not replicate human cognitive biases](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Develop models which can detect morally clear cut versus contentious scenarios](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Include difficult to specialize goals in interactive environments (CIRL)](https://arxiv.org/pdf/1606.03137.pdf) (Hadfield-Menell et al., 2016)\n\n***Hidden Model Functionality*** \n\n- [Improve backdoor detectors to counteract an expanding set of backdoor attacks](https://arxiv.org/pdf/2003.07233.pdf) (Karra et al., 2020)\n\n[Alex Turner](https://www.linkedin.com/in/alexandermattturner/details/experience/) (Oregon State, Postdoc)\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- [Conservative Agency via Attainable Utility Preservation](https://arxiv.org/abs/1902.09725) [Reinforcement Learning] (Turner, Hadfield-Menell, Tadepalli, 2019) - In order to mitigate the risk of reward misspecification, where RL agents are given reward functions that poorly specify the desired behavior, they introduce an approach using auxiliary reward functions to balance the primary reward while maintaining the ability to optimize other, either selected or randomly generated, functions. Generally speaking, this seems to create significantly more conservative agents which are still able to optimize the primary reward with minimal side effects.\n\n[David Krueger](https://twitter.com/davidskrueger) (Cambridge, Associate prof)\n\n- [Goal Misgeneralization in Deep RL](https://arxiv.org/abs/2105.14111) [Reinforcement Learning, Value Alignment/Robustness] (Langosco et al…, Krueger, 2021) - A study of goal misgeneralization, where RL agents retain their capabilities out of distribution but fail to achieve the desired goal due to having learned another. The paper seeks to formalize the problem as well as provide empirical instances of it occurring.\n\n- [Defining and Characterizing Reward Hacking](https://arxiv.org/pdf/2209.13085.pdf) [Reinforcement Learning, Value Alignment] (Skalse, Krueger, 2022) - Provides a formal definition of “reward hacking”, where a poor proxy leads to poor performance on the true reward function. Define an “unhackable proxy” where this cannot happen, show an instance of intuitive approaches failing, and study when proxies are unhackable in stochastic reward functions, deterministic and some stochastic policies, and seek necessary and sufficient conditions for simplifications. Suggests a tension between narrowness of task specification and value alignment.\n\n[Dylan Hadfield-Menell](https://scholar.google.com/citations?hl=en&user=4mVPFQ8AAAAJ&view_op=list_works&sortby=pubdate) (MIT, Assistant prof)\n\n- [White-Box Adversarial Policies in Deep Reinforcement Learning](https://arxiv.org/abs/2209.02167) [Robustness, Reinforcement Learning] (Casper, H-M, Kreiman, 2022) - Normal adversarial policy training methods (in RL) assume other agents to be a black box. Treating them as a white box, where adversaries can see the internal states of other agents at each time step, allows the adversary to find stronger policies while also allowing adversarial training on these policies to create more robust victim models in single-agent environments.\n\n- [Building Human Values into Recommender Systems](https://arxiv.org/abs/2207.10192) [Value Alignment] (Large collaboration, 2022) - A Multidisciplinary attempt to collect a set of values relevant to the design and implementation of recommendation systems and examine them at play in industry and policy.\n\n- [Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL](https://arxiv.org/abs/2208.10469) [Reinforcement Learning, Value Alignment, Game Theory] (Christofferson, Haupt, H-M, 2022) - Using an augmented Markov game where agents voluntarily agree to state-dependent reward transfers, it is shown that this strategy can guarantee all subgame-perfect equilibria in fully-observed games to be socially optimal with enough possible contracts, and verify this result empirically on games such as the Stag Hunt, a public goods game, and resource management.\n\n[Andrew Critch](https://scholar.google.com/citations?user=F3_yOXUAAAAJ&hl=en) (UC Berkeley, Research Scientist)\n\n- [Robust Cooperation Criterion for Open-Source Game Theory](https://www.cambridge.org/core/journals/journal-of-symbolic-logic/article/abs/parametric-resourcebounded-generalization-of-lobs-theorem-and-a-robust-cooperation-criterion-for-opensource-game-theory/16063EA7BFFEE89438631B141E556E79) [Robustness, Game Theory] (Critch, 2019) - In addition to a generalization of Lőb’s Theorem, provides an unexploitable (in Prisoner’s dilemma, never achieve (Cooperate, Defect), but sometimes achieve (Cooperate, Cooperate)) criterion for cooperation which requires proofs of another agent’s source code. This method outperforms Nash equilibria and correlated equilibria.\n\n- [Multi-Principal Assistance Games](https://arxiv.org/pdf/2012.14536.pdf) [Game Theory, Reinforcement Learning, Value Alignment] (Fickinger, Zhuang, Critch, et al, 2020) - Introduces an extension of the assistance game (CIRL), called the MPAG (as in title), with a stated example of apprenticeship where an agent needs to learn from a human working to achieve some utility and their preferences. As long as humans are sufficiently responsible for obtaining some fraction of the rewards then their preferences can be inferred from their work.\n\n[Roger Grosse](https://www.cs.toronto.edu/~rgrosse/) (Toronto, Assistant Prof) helped found [Vector Institute](https://vectorinstitute.ai/) ([VI Profile](https://vectorinstitute.ai/team/roger-grosse/))\n\n- [On Implicit Bias in Overparameterized Bilevel Optimization](https://proceedings.mlr.press/v162/vicol22a.html) (Vicol, Lorraine, …, Grosse et al, 2022) - Recent work has studied the implicit bias found in algorithms for single-level optimization, and this paper seeks to extend that work to bilevel optimization algorithms which involve both inner and outer parameters each optimized to their own objectives. In particular, the two methods studied were cold-start and warm-start and the convergence of solutions based on these and other algorithmic choices.\n\n- [If Influence Functions are the Answer, Then What is the Question?](https://arxiv.org/abs/2209.05364) (Bae, Ng, Lo, Ghassemi, Grosse, 2022) - Influence functions estimate the effect of removing individual data points on a model’s parameters, and align well for linear models but not so much for neural nets. This paper explores this discrepancy and finds that in nonlinear models, influence functions are better aligned with a quantity called the proximal Bregman response function, which allows us to continue using influence functions in nonlinear models to do such things as find influential and/or mislabeled examples.\n\n```" + "Rich Text": "```**[[NOTE TO EDITORS: This page is being deprecated in favor of** [What is everyone working on in AI alignment?](/?state=8392&question=What%20is%20everyone%20working%20on%20in%20AI%20alignment%3F)**and organization/researcher pages linked to from that page)**\n\n### **Industry**\n\n[Anthropic](http://anthropic.com):\n\n- [Honest Harmless Helpful Language Model](https://arxiv.org/abs/2112.00861) [Language Models] (Askell, 2021) - Using prompting as a baseline to study the idea of aligning an LLM. Basic attempts seem to scale well with model size, presumably because they rely on the capabilities of the model to interpret the prompt. This paper primarily focuses on experimenting with evaluation methods.\n\n- [Part 2](https://arxiv.org/abs/2204.05862) [Reinforcement Learning, Language Models] (Bai, 2022) - A more significant approach than the first HHH paper, using reinforcement learning from human feedback and preference modeling to finetune the LMs. Further work is done testing and analyzing the robustness of the training method, calibration of the preference models, competing objectives and out-of-distribution detection.\n\n- [Mathematical Framework for Transformer Circuits](https://transformer-circuits.pub/2021/framework/index.html) [Interpretability] (Elhage, Nanda, 2021) - The idea of circuits was first applied to CNNs in the case of vision, but recent large models (especially for language) use transformers in their architecture. This paper is meant to begin filling that gap. Contains a reference to a [second paper](https://transformer-circuits.pub/2022/in-context-learning-and-induction-heads/index.html) which has some more significant results. Specifically, the idea of “induction heads”, which are attention heads which allow for in-context learning.\n\n- [Language Models (Mostly) Know What they Know](https://arxiv.org/abs/2207.05221) [Language Models, Calibrated Uncertainty] (Kadavath, Kaplan, 2022) - Tasks LMs with predicting which questions they will get correct, and whether their own claims are valid. Preliminary results are encouraging; generally the models are calibrated to the probability their answers are correct, after proposing them. Calibration is worse when the question becomes “Do you know the answer to x?”, but improves when given extra source material to work with.\n\n[DeepMind Safety Team](https://deepmindsafetyresearch.medium.com/): \n\n- [AI safety Gridworlds](https://arxiv.org/abs/1711.09883) [Engineering] (Leike et al, 2017) - Environments designed to keep track of a distinct reward and ‘safety objective’, of which the learning agent only has access to the first.\n\n- [Goal Misgeneralization](https://arxiv.org/abs/2210.01790) [Reinforcement Learning] (Shah, et al., 2022) - While there is already a risk of failing to correctly specify the designer’s desired goal in a learning system, this paper focuses on examples of learning algorithms acted towards undesired goals even when the specification is correct. Here, the algorithm competently pursues this undesired goal during deployment/test time despite achieving high training accuracy.\n\n- [Model-Free Risk-Sensitive RL](https://arxiv.org/abs/2111.02907) [Reinforcement Learning] (Delétang, et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/model-free-risk-sensitive-reinforcement-learning-5a12ba5ce662) - A way of updating value estimates in a RL agent which is somewhat based on risk-sensitivity in portfolio analysis for investments. More specifically, an extension of temporal-difference learning which can also be approached as a Rescorla-Wagner model in classical conditioning with the stimulus being the estimation error in some direction.\n\n- [Using Causal Influence Diagrams to define/find ‘agency’](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) [Blog](https://deepmindsafetyresearch.medium.com/discovering-when-an-agent-is-present-in-a-system-41154de11e7b) - A formal framework proposal for understanding agency in terms of “systems that would adapt their policies if their actions affected the world in a different way.” The authors use this framework to derive an algorithm for discovering agents from data and translating from causal models to game theoretic influence diagrams.\n\n- [Language Model Alignment](https://arxiv.org/abs/2103.14659) [Language Models, Value Alignment] (Kenton et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/alignment-of-language-agents-9fbc7dd52c6c) - A broad paper analyzing the potential for misalignment within language models, and possible initial approaches.\n\n- [Bayesian Analysis of meta-learning](https://arxiv.org/abs/2010.11223) [Interpretability] (Mikulik et al, 2020) [Blog](https://deepmindsafetyresearch.medium.com/understanding-meta-trained-algorithms-through-a-bayesian-lens-5042a1acc1c2) - Demonstration and reverse engineering of the use of Bayes-optimal algorithms within meta-trained recurrent neural networks. Shows that Bayes-optimal agents are fixed points of the meta-learning dynamics.\n\n[OpenAI safety Team](https://openai.com/):\n\n- [Overview of their approach](https://openai.com/blog/our-approach-to-alignment-research/): In summary, empiricism and iteration to develop a sufficiently aligned, sufficiently advanced model that can solve the theoretical problems (or just help us build better, still aligned AI)\n\n- [Circuits](https://distill.pub/2020/circuits/zoom-in/) [Interpretability] (Olah et al, 2020) - A framework for understanding how neural networks actually implement more understandable algorithms than we might initially expect, and how to find them. Primarily demonstrated within CNNs in this thread, although as shown by Anthropic seems extendable to transformers. See also [their attempt](https://distill.pub/2020/circuits/curve-circuits/) to implement a handwritten neural network layer based on these principles.\n\n- [Deep RL from Human Preferences](https://arxiv.org/abs/1706.03741) [Reinforcement Learning, Value Alignment] (Christiano et al, 2017) [Blog](https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/) - Demonstrated solving of complex tasks by learning from (non-expert) human feedback, without any access to the actual objective function.\n\n- [AI Written Critiques Help Humans Notice Flaws](https://arxiv.org/abs/2206.05802) [Reinforcement Learning, Language Models] (Saunders, Yeh, Wu, 2022) [Blog](https://openai.com/blog/critiques/) - Even though the models used are not better at writing summaries than humans, and writing summaries is not a difficult task for humans, AI assistance still increases the number of errors found by humans. Furthermore, this ability seems to scale faster than summary writing capabilities.\n\n- [AI safety via Debate](https://arxiv.org/pdf/1805.00899.pdf) (Irving, Christiano, Amodei, 2018) - A suggested approach to simplicity specifying complex human goals by training agents to play a zero-sum debate game. Given optimal play, in theory debate can solve any problem in PSPACE given polynomial time judges, and empirically the authors were able to demonstrate significant improvements in a sparse classifier’s accuracy given 6 pixels and a debate sequence from 59.4% to 88.9%.\n\n- [Iterated Amplification](https://arxiv.org/abs/1810.08575) [Value Alignment] (Christiano, [Shlegeris](https://arxiv.org/search/cs?searchtype=author&query=Shlegeris%2C+B), Amodei, 2018) [Blog](https://openai.com/blog/amplifying-ai-training/) - a suggested approach to safety, by using weaker AIs + humans to supervise the training of more powerful AIs, in an iterative manner, to achieve any level of capability desired while maintaining our ability to catch potential errors and dangers.\n\n[Redwood Research](https://www.redwoodresearch.org/)\n\n- [Adversarial Training for High-Stakes Reliability](https://arxiv.org/abs/2205.01663) [Language Models, Robustness] (Ziegler, 2022) [Blog](https://www.alignmentforum.org/posts/n3LAgnHg6ashQK3fF/takeaways-from-our-robust-injury-classifier-project-redwood) - An attempt to weakly/partially align an LLM so as to not output text where a character was harmed or injured, by using human-assisted adversarial training on a classifier designed to prevent the model from outputting such text. As an org they are pursuing adversarial training as a method for alignment.\n\n- [Polysemanticity and Capacity in Neural Networks](https://arxiv.org/abs/2210.01892) [Interpretability] (Scherlis et al., 2022) [Blog](https://www.alignmentforum.org/posts/kWp4R9SYgKJFHAufB/polysemanticity-and-capacity-in-neural-networks) - Exploration into a phenomenon known as polysemanticity, where some neurons within ANNs represent a mixture of distinct features at once (as opposed to many others appearing to only represent one feature). This is done through the lens of capacity, which essentially asks how much dimension features require/consume when represented. Also looks at the theoretical geometry of feature space given optimal allocation.\n\n- [Interpretability in the Wild](https://arxiv.org/abs/2211.00593) [Interpretability, Language Models] (Wang et al., 2022) - A paper that seeks to apply the techniques of mechanistic interpretability on a large problem while still providing detailed results, as opposed to one or the other. Specifically, they seek an explanation for how GPT-2 performs the task of Indirect Object Identification, and then evaluate this explanation on quantitative versions of the criteria of faithfulness, completeness, and minimality.\n\n### **Academics**\n\n[Sam Bowman](https://cims.nyu.edu/~sbowman/index.shtml) (NYU, Prof) [Datasets]:\n\n- [NYU Alignment Research Group](https://wp.nyu.edu/arg/) - A new research group at NYU, with Sam Bowman as PI and researchers from various other ML, data science, and language-relevant groups at NYU such as [ML2](https://wp.nyu.edu/ml2/), focusing on empirical work with language models. See introductory post below.\n\n - [Why I Think More NLP Researchers Should Engage with AI safety Concerns (Blog)](https://wp.nyu.edu/arg/why-ai-safety/) [Language Models] - Bowman claims we’re making progress faster than many expected and that progress is also providing a foundation for other problems without intentionally designing for them (consider GPT-3 in the realm of few-shot learning, other types of reasoning). This leaves NLP researchers potentially in an important role in the future development of AI systems and their safety, and that should at least be considered by those in the field.\n\n- [Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers](https://aclanthology.org/2021.blackboxnlp-1.42.pdf) [Interpretability, Language Models] (Phang, Liu, Bowman, 2021) - Use of centered kernel alignment to measure the similarity of representations in fine-tuned models across layers. They find strong similarities in early and later layers, but not in-between. Similarity in later layers suggests a lack of need for them, which they verify by removal.\n\n- [What Will It Take to Fix Benchmarking in NLU?](https://aclanthology.org/2021.naacl-main.385.pdf) [Datasets] (Bowman, Dahl, 2021) - Since unreliable and biased models score so highly on most NLU evaluation datasets, it is difficult to measure progress on actual improvements to the systems. Argues for four criteria such evaluation datasets should meet, and that adversarial data collection fails at improving these.\n\n- [Two Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions](https://arxiv.org/pdf/2210.10860.pdf) (Parrish, Trivedi, et al. 2022) - Answers produced by natural language models can be false yet reasonable-sounding, and in cases where responses are difficult to check this makes it difficult to trust the models. One suggested approach is the use of debate to help humans distinguish between correct and incorrect answers. [Previous research](https://arxiv.org/abs/2204.05212) has shown this is not effective in a one-step argument paradigm, and this paper shows it is not effective with two-step argument-counter arguments either, using human-produced correct and incorrect+misleading responses.\n\n[Jacob Steinhardt](https://jsteinhardt.stat.berkeley.edu/) (UC Berkeley, Assistant Prof):\n\n- [Certified Defenses Against Adversarial Examples](https://arxiv.org/pdf/1801.09344.pdf) [Robustness] (Raghunathan, Steinhardt, Liang, 2018) - Produces an adaptive regularizer based on a differentiable certificate for a one-layer neural network, which guarantees for a given network and test input, *no* attack can force the error to exceed a certain threshold. Applied to MNIST, guaranteed no attack which perturbed pixels by 0.1 could cause error to grow beyond 35%.\n\n- [Describing Differences between Text Distributions with Natural Language](https://arxiv.org/abs/2201.12323) [Language Models] (Zhong, Snell, Klein, Steinhardt, 2022) - Uses models of GPT-3 to learn summaries of the differences between distributions of text. After training this to around 76% similarity to human annotation of these datasets, they apply these outputs to do some work analyzing datasets, including describing distribution shifts.\n\n- [The Effects of Reward Misspecification](https://arxiv.org/abs/2201.03544) (Pan, Bhatia, Steinhardt, 2022) - A broader study across four RL environments on how reward hacking arises as a function of four specific agent capabilities. Generally, reward hacking increases as capabilities do, but there are also noticeable phase shifts where the true reward rapidly decreases while the proxy reward remains high.\n\n- [Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior](https://arxiv.org/pdf/2206.13498.pdf) [Interpretability] (Denain, Steinhardt, 2022) - Defines “anomalous models” from a set of “normal models”, which may include things such as backdoors or certain biases, then tests whether current transparency methods provide sufficiently different explanations. This is partially effective; certain significant differences like shape bias and adversarial training are detected, but subtler issues like training on incomplete data are not found.\n\n[Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/) (UC Berkeley):\n\n- [Open Problems in AI safety](https://arxiv.org/abs/2109.13916) [Value Alignment, Robustness, Interpretability] (Hendrycks, 2022) - A summary and survey of four categories of problems in the field of “AI safety”: robustness, monitoring, alignment, and systemic safety. Includes an overview of some potential research directions and papers submitted by others.\n\n- [A Critical Analysis of Out-of-Distribution Generalization](https://arxiv.org/abs/2006.16241) [Robustness, Datasets] (Hendrycks et al, 2021) - Produces four new distribution-shift image datasets, use them to test various methods that attempt to improve robustness to these types of shifts, and introduce a new method of data augmentation. They also find that certain methods are better for certain types of distribution shifts, and no method consistently improves robustness on all shifts.\n\n- [Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:5nxA0vEk-isC) [Robustness, Calibrated Uncertainty] (Hendrycks et al, 2019) - Finds that self-supervision can improve robustness to adversarial examples, label corruption, and common forms of input corruption. It was also found to improve OOD detection beyond fully supervised methods, suggesting this may be the primary approach to such a task.\n\n- [Deep Anomaly Detection with Outlier Exposure](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:Tyk-4Ss8FVUC) [Robustness] (Hendrycks et al, 2019) - One desirable trait of advanced models would be an ability to detect anomalous input (to reduce the range of successful adversarial attacks or for OOD detection). This paper explores training anomaly detectors on diverse sets of out-of-distribution data, successfully improving detection. As an additional result, models that trained on CIFAR-10 but scored higher on SVHN datasets were able to be readjusted with the anomaly detectors.\n\n- [Unsolved Problems in Machine Learning Safety](https://arxiv.org/abs/2109.13916) [Robustness, Value Alignment] (Hendrycks et al., 2021) - A paper which provides a great summary of various technical areas of work related to safety in general (including a section on alignment in particular). The following is a list of links to a few of the referenced research papers and suggested approaches, but a full read would provide many more:\n\n***Improve Adversarial and Black Swan Robustness***\n\n- [Adding to existing robustness benchmarks](https://arxiv.org/abs/1903.12261) (Hendrycks, Dietterich, 2019)\n\n- [Develop new data augmentation techniques](https://arxiv.org/abs/2112.05135) (Hendrycks et al., 2021)\n\n***Improve Model Calibration and Honesty***\n\n- Improve model calibration on typical testing data, [and testing data that is unlike the training data](https://arxiv.org/abs/1906.02530) (Ovadia et al., 2019)\n\n- [Create evaluation schemes that catch models being inconsistent](https://arxiv.org/abs/2102.01017) (Elazar et al., 2021)\n\n- Train more truthful models by incentivising models not to state falsehoods, spread misinformation or [repeat misconceptions](https://aclanthology.org/2020.acl-main.353/) (Peskov et al., 2020)\n\n***Value Alignment and Objectives***\n\n- [Develop models which learn wellbeing functions that do not replicate human cognitive biases](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Develop models which can detect morally clear cut versus contentious scenarios](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Include difficult to specialize goals in interactive environments (CIRL)](https://arxiv.org/pdf/1606.03137.pdf) (Hadfield-Menell et al., 2016)\n\n***Hidden Model Functionality*** \n\n- [Improve backdoor detectors to counteract an expanding set of backdoor attacks](https://arxiv.org/pdf/2003.07233.pdf) (Karra et al., 2020)\n\n[Alex Turner](https://www.linkedin.com/in/alexandermattturner/details/experience/) (Oregon State, Postdoc)\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- [Conservative Agency via Attainable Utility Preservation](https://arxiv.org/abs/1902.09725) [Reinforcement Learning] (Turner, Hadfield-Menell, Tadepalli, 2019) - In order to mitigate the risk of reward misspecification, where RL agents are given reward functions that poorly specify the desired behavior, they introduce an approach using auxiliary reward functions to balance the primary reward while maintaining the ability to optimize other, either selected or randomly generated, functions. Generally speaking, this seems to create significantly more conservative agents which are still able to optimize the primary reward with minimal side effects.\n\n[David Krueger](https://twitter.com/davidskrueger) (Cambridge, Associate prof)\n\n- [Goal Misgeneralization in Deep RL](https://arxiv.org/abs/2105.14111) [Reinforcement Learning, Value Alignment/Robustness] (Langosco et al…, Krueger, 2021) - A study of goal misgeneralization, where RL agents retain their capabilities out of distribution but fail to achieve the desired goal due to having learned another. The paper seeks to formalize the problem as well as provide empirical instances of it occurring.\n\n- [Defining and Characterizing Reward Hacking](https://arxiv.org/pdf/2209.13085.pdf) [Reinforcement Learning, Value Alignment] (Skalse, Krueger, 2022) - Provides a formal definition of “reward hacking”, where a poor proxy leads to poor performance on the true reward function. Define an “unhackable proxy” where this cannot happen, show an instance of intuitive approaches failing, and study when proxies are unhackable in stochastic reward functions, deterministic and some stochastic policies, and seek necessary and sufficient conditions for simplifications. Suggests a tension between narrowness of task specification and value alignment.\n\n[Dylan Hadfield-Menell](https://scholar.google.com/citations?hl=en&user=4mVPFQ8AAAAJ&view_op=list_works&sortby=pubdate) (MIT, Assistant prof)\n\n- [White-Box Adversarial Policies in Deep Reinforcement Learning](https://arxiv.org/abs/2209.02167) [Robustness, Reinforcement Learning] (Casper, H-M, Kreiman, 2022) - Normal adversarial policy training methods (in RL) assume other agents to be a black box. Treating them as a white box, where adversaries can see the internal states of other agents at each time step, allows the adversary to find stronger policies while also allowing adversarial training on these policies to create more robust victim models in single-agent environments.\n\n- [Building Human Values into Recommender Systems](https://arxiv.org/abs/2207.10192) [Value Alignment] (Large collaboration, 2022) - A Multidisciplinary attempt to collect a set of values relevant to the design and implementation of recommendation systems and examine them at play in industry and policy.\n\n- [Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL](https://arxiv.org/abs/2208.10469) [Reinforcement Learning, Value Alignment, Game Theory] (Christofferson, Haupt, H-M, 2022) - Using an augmented Markov game where agents voluntarily agree to state-dependent reward transfers, it is shown that this strategy can guarantee all subgame-perfect equilibria in fully-observed games to be socially optimal with enough possible contracts, and verify this result empirically on games such as the Stag Hunt, a public goods game, and resource management.\n\n[Andrew Critch](https://scholar.google.com/citations?user=F3_yOXUAAAAJ&hl=en) (UC Berkeley, Research Scientist)\n\n- [Robust Cooperation Criterion for Open-Source Game Theory](https://www.cambridge.org/core/journals/journal-of-symbolic-logic/article/abs/parametric-resourcebounded-generalization-of-lobs-theorem-and-a-robust-cooperation-criterion-for-opensource-game-theory/16063EA7BFFEE89438631B141E556E79) [Robustness, Game Theory] (Critch, 2019) - In addition to a generalization of Lőb’s Theorem, provides an unexploitable (in Prisoner’s dilemma, never achieve (Cooperate, Defect), but sometimes achieve (Cooperate, Cooperate)) criterion for cooperation which requires proofs of another agent’s source code. This method outperforms Nash equilibria and correlated equilibria.\n\n- [Multi-Principal Assistance Games](https://arxiv.org/pdf/2012.14536.pdf) [Game Theory, Reinforcement Learning, Value Alignment] (Fickinger, Zhuang, Critch, et al, 2020) - Introduces an extension of the assistance game (CIRL), called the MPAG (as in title), with a stated example of apprenticeship where an agent needs to learn from a human working to achieve some utility and their preferences. As long as humans are sufficiently responsible for obtaining some fraction of the rewards then their preferences can be inferred from their work.\n\n[Roger Grosse](https://www.cs.toronto.edu/~rgrosse/) (Toronto, Assistant Prof) helped found [Vector Institute](https://vectorinstitute.ai/) ([VI Profile](https://vectorinstitute.ai/team/roger-grosse/))\n\n- [On Implicit Bias in Overparameterized Bilevel Optimization](https://proceedings.mlr.press/v162/vicol22a.html) (Vicol, Lorraine, …, Grosse et al, 2022) - Recent work has studied the implicit bias found in algorithms for single-level optimization, and this paper seeks to extend that work to bilevel optimization algorithms which involve both inner and outer parameters each optimized to their own objectives. In particular, the two methods studied were cold-start and warm-start and the convergence of solutions based on these and other algorithmic choices.\n\n- [If Influence Functions are the Answer, Then What is the Question?](https://arxiv.org/abs/2209.05364) (Bae, Ng, Lo, Ghassemi, Grosse, 2022) - Influence functions estimate the effect of removing individual data points on a model’s parameters, and align well for linear models but not so much for neural nets. This paper explores this discrepancy and finds that in nonlinear models, influence functions are better aligned with a quantity called the proximal Bregman response function, which allows us to continue using influence functions in nonlinear models to do such things as find influential and/or mislabeled examples.\n\n```" } }, { @@ -17582,7 +17582,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```**[[NOTE TO EDITORS: This page is being deprecated in favor of** [What is everyone working on in AI alignment?](/?state=8392&question=What%20is%20everyone%20working%20on%20in%20AI%20alignment%3F)**and organization/researcher pages linked to from that page)**\n\nThese are some recommended tags meant to allow a reader to search for potential relevance, not necessarily strong claims about what field of research a particular idea or paper falls under:\n\n- Value Alignment, Interpretability, Agent Foundations, Reinforcement Learning, Language Models, Calibrated Uncertainty, Causality, Robustness, Datasets, Engineering, Game Theory\n\n### \t**Organizations**\n\n[MIRI](https://intelligence.org/):\n\n- [Embedded Agency](https://arxiv.org/abs/1902.09469) [Agent Foundations] (Demski, 2020) - A suggested framework for understanding an agent as a *part* of the environment it interacts with (as we are), rather than separate as most theories of agency do. Multiple groups seem interested in this; DeepMind for example has also made posts on this subject.\n\n- [Cartesian Frames](https://arxiv.org/abs/2109.10996) [Agent Foundations] (Garrabrant, 2021) - Creating a basis for understanding groups of potential actions agents could take, and manipulations on those sets as a possible means to understand how action spaces can evolve over time.\n\n- [Evan Hubinger’s Research Agenda](https://www.lesswrong.com/posts/GeabLEXYP7oBMivmF/acceptability-verification-a-research-agenda) [Interpretability] - Develop “acceptability desiderata” (two examples are myopia: the agent is unable to look/receive signals from future time steps, and broad corrigibility: the agent is actually, actively helping you to determine if things are going well and to clarify your preferences) which we can measure using interpretability techniques. Ideally, so long as these conditions are met, there will not be *catastrophic* issues.\n\n- [Vanessa Kosoy’s Research Agenda](https://www.lesswrong.com/posts/5bd75cc58225bf0670375575/the-learning-theoretic-ai-alignment-research-agenda) [Agent Foundations, Reinforcement Learning] - Work on a general abstract view of intelligence, of which AI alignment seems to be a part of, use the framework to formulate alignment problems within learning theory and evaluate solutions based on these formal properties. Example work: [Delegated Reinforcement Learning](https://intelligence.org/2019/04/24/delegative-reinforcement-learning/) (Kosoy, 2019) - Avoids assumption of no traps or episodic regret bounds, by allowing an agent to optionally delegate certain tasks to an advisor.\n\n[Alignment Research Center (ARC)](http://alignment.org):\n\n- [Eliciting Latent Knowledge](https://docs.google.com/document/d/1WwsnJQstPq91_Yh-Ch2XRL8H_EpsnjrC1dwZXR37PC8/edit) (ELK) [Interpretability] - In the event a prediction model has some internal knowledge about the world that is relevant to our making decisions using it (that are not already in its output), ARC is trying to develop a training strategy such that we have a method of “eliciting” or accessing it from the model itself. \n\n- Subproblem: Ontology Identification (See Above) [Interpretability] - A special case of ELK in which there is probabilistic reasoning occurring within the model which doesn’t really correspond easily with human models. For example, an AI may reason about the world using the concepts of atoms while humans use much higher-level concepts, or vice versa, where it might reason with abstractions higher than humans have. \n\n- [Evaluating language model power-seeking](https://docs.google.com/document/d/1tf9Diyf46jlhuy7FcfvV1Ti9DsAxDAjVojMzruEySIg/edit) [Datasets, Engineering] (Headed by [Beth Barnes](https://www.barnes.page/)) - Trying to create a dataset which could provide benchmarks or at least thresholds to determine “how dangerous is this model?”. Somewhat preliminary stages, the current plan is to have a model play a text-based game where it is trying to get money and power, avoid detection when doing so, and not get shut down, at first against humans and potentially eventually against an automated benchmarking system. Alternatively, test it on specifically dangerous tasks in a controlled setting.\n\n[Anthropic](http://anthropic.com):\n\n- [Honest Harmless Helpful Language Model](https://arxiv.org/abs/2112.00861) [Language Models] (Askell, 2021) - Using prompting as a baseline to study the idea of aligning an LLM. Basic attempts seem to scale well with model size, presumably because they rely on the capabilities of the model to interpret the prompt. This paper primarily focuses on experimenting with evaluation methods.\n\n- [Part 2](https://arxiv.org/abs/2204.05862) [Reinforcement Learning, Language Models] (Bai, 2022) - A more significant approach than the first HHH paper, using reinforcement learning from human feedback and preference modeling to finetune the LMs. Further work is done testing and analyzing the robustness of the training method, calibration of the preference models, competing objectives and out-of-distribution detection.\n\n- [Mathematical Framework for Transformer Circuits](https://transformer-circuits.pub/2021/framework/index.html) [Interpretability] (Elhage, Nanda, 2021) - The idea of circuits was first applied to CNNs in the case of vision, but recent large models (especially for language) use transformers in their architecture. This paper is meant to begin filling that gap. Contains a reference to a [second paper](https://transformer-circuits.pub/2022/in-context-learning-and-induction-heads/index.html) which has some more significant results. Specifically, the idea of “induction heads”, which are attention heads which allow for in-context learning.\n\n- [Language Models (Mostly) Know What they Know](https://arxiv.org/abs/2207.05221) [Language Models, Calibrated Uncertainty] (Kadavath, Kaplan, 2022) - Tasks LMs with predicting which questions they will get correct, and whether their own claims are valid. Preliminary results are encouraging; generally the models are calibrated to the probability their answers are correct, after proposing them. Calibration is worse when the question becomes “Do you know the answer to x?”, but improves when given extra source material to work with.\n\n[Center for AI Safety](http://safe.ai) (See also *Dan Hendrycks* under Academics):\n\n- [Open Problems in AI Safety](https://arxiv.org/abs/2109.13916) [Value Alignment, Robustness, Interpretability] (Hendrycks, 2022) - A summary and survey of four categories of problems in the field of “AI Safety”: robustness, monitoring, alignment, and systemic safety. Includes an overview of some potential research directions and papers submitted by others.\n\n- [A Critical Analysis of Out-of-Distribution Generalization](https://arxiv.org/abs/2006.16241) [Robustness, Datasets] (Hendrycks et al, 2021) - Produces four new distribution-shift image datasets, use them to test various methods that attempt to improve robustness to these types of shifts, and introduce a new method of data augmentation. They also find that certain methods are better for certain types of distribution shifts, and no method consistently improves robustness on all shifts.\n\n[Center for Human Compatible AI (CHAI)](http://humancompatible.ai):\n\n- General Approach: [Cooperative Inverse Reinforcement Learning](https://arxiv.org/abs/1606.03137) (Hadfield-Menell, Dragan, Abbeel, Russell, 2016) - A formal proposal for the value alignment problem, where the AI and the human engage in which the AI does not know the human’s reward function (but is rewarded by it). An extension of IRL which leads to behaviors such as active teaching and learning on the part of the human and machine. Some initial proofs are given as well.\n\n- See also *Stuart Russell* as the Principal Investigator.\n\n- [2022 Progress Report](https://humancompatible.ai/app/uploads/2022/05/CHAI-2022-Progress-Report-3.pdf) Sample of Papers:\n\n- [Clusterability in Neural Networks](https://arxiv.org/abs/2103.03386) [Interpretability] (Casper, Filan, Hod, 2021) - Searching for structure within neural networks by mapping out groups of neurons with strong internal connectivity and weak external connectivity. In addition to observation, they also provide methods to encourage clustering during training, in the hopes it may assist with interpretation.\n\n- [Quantifying Local Specialization](https://arxiv.org/abs/2110.08058) in Deep Neural Networks [Interpretability] (Casper, Filan, Hod, 2022) - Explores whether deep networks can be broken up into subsections which each specialize in tasks relevant to the “main” task. Builds off of the idea of clustering, and shows that graph-based partitioning *does* provide useful information.\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- [Symmetry, Equilibria, and Robustness in Common-Payoff Games](https://arxiv.org/abs/2012.05862) [Game Theory] (Michaud, Gleave, Russell, 2020) - Shows that any locally optimal symmetric strategy profile is also a global Nash equilibrium. This result is robust to changes in the common payoff and local optimum. See also “*For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria (Emmons, 2022)*” under FAR for an extension of these results.\n\n[Conjecture](http://conjecture.dev) [Interpretability, Language Models]:\n\n- Not much work is publicly available, but focus is on *scalable* LLM interpretability and “simulacra theory”, which is based on the idea that LLMs can help accelerate alignment research without themselves producing or becoming agents.\n\n- Hosts REFINE, a 3-month incubator for conceptual alignment research in London. Applications for the first cohort are currently closed, but more information can be found [here](https://www.lesswrong.com/posts/D7epkkJb3CqDTYgX9/refine-an-incubator-for-conceptual-alignment-research-bets).\n\n[Cooperative AI Foundation (CAIF)](https://www.cooperativeai.com/):\n\n- [Open Problems in Cooperative AI](https://arxiv.org/pdf/2012.08630.pdf) [Game Theory] (Dafoe et al, 2020) - Primary goals: designing agents with the capabilities necessary for cooperation, fostering cooperation within society (both for humans and machines), and general research in these directions. Examples of the problem space given are self-driving vehicles and COVID-19 responses.\n\n- [Evaluating Cooperative AI](https://www.cooperativeai.com/calls-for-proposals/evaluation-for-cooperative-ai) [Datasets] - CAIF is seeking applicants for a director and proposals for benchmarks and conceptual research useful for evaluating desirable qualities in the context of “cooperative AI” for the sake of iterative engineering.\n\n[OpenAI Safety Team](https://openai.com/):\n\n- [Overview of their approach](https://openai.com/blog/our-approach-to-alignment-research/): In summary, empiricism and iteration to develop a sufficiently aligned, sufficiently advanced model that can solve the theoretical problems (or just help us build better, still aligned AI)\n\n- [Circuits](https://distill.pub/2020/circuits/zoom-in/) [Interpretability] (Olah et al, 2020) - A framework for understanding how neural networks actually implement more understandable algorithms than we might initially expect, and how to find them. Primarily demonstrated within CNNs in this thread, although as shown by Anthropic seems extendable to transformers. See also [their attempt](https://distill.pub/2020/circuits/curve-circuits/) to implement a handwritten neural network layer based on these principles.\n\n- [Deep RL from Human Preferences](https://arxiv.org/abs/1706.03741) [Reinforcement Learning, Value Alignment] (Christiano et al, 2017) [Blog](https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/) - Demonstrated solving of complex tasks by learning from (non-expert) human feedback, without any access to the actual objective function.\n\n- [AI Written Critiques Help Humans Notice Flaws](https://arxiv.org/abs/2206.05802) [Reinforcement Learning, Language Models] (Saunders, Yeh, Wu, 2022) [Blog](https://openai.com/blog/critiques/) - Even though the models used are not better at writing summaries than humans, and writing summaries is not a difficult task for humans, AI assistance still increases the number of errors found by humans. Furthermore, this ability seems to scale faster than summary writing capabilities.\n\n- [AI Safety via Debate](https://arxiv.org/pdf/1805.00899.pdf) (Irving, Christiano, Amodei, 2018) - A suggested approach to simplicity specifying complex human goals by training agents to play a zero-sum debate game. Given optimal play, in theory debate can solve any problem in PSPACE given polynomial time judges, and empirically the authors were able to demonstrate significant improvements in a sparse classifier’s accuracy given 6 pixels and a debate sequence from 59.4% to 88.9%.\n\n- [Iterated Amplification](https://arxiv.org/abs/1810.08575) [Value Alignment] (Christiano, Schlergris, Amodei, 2018) [Blog](https://openai.com/blog/amplifying-ai-training/) - a suggested approach to safety, by using weaker AIs + humans to supervise the training of more powerful AIs, in an iterative manner, to achieve any level of capability desired while maintaining our ability to catch potential errors and dangers.\n\n[DeepMind Safety Team](https://deepmindsafetyresearch.medium.com/): \n\n- [AI Safety Gridworlds](https://arxiv.org/abs/1711.09883) [Engineering] (Leike et al, 2017) - Environments designed to keep track of a distinct reward and ‘safety objective’, of which the learning agent only has access to the first.\n\n- [Goal Misgeneralization](https://arxiv.org/abs/2210.01790) [Reinforcement Learning] (Shah, et al., 2022) - While there is already a risk of failing to correctly specify the designer’s desired goal in a learning system, this paper focuses on examples of learning algorithms acted towards undesired goals even when the specification is correct. Here, the algorithm competently pursues this undesired goal during deployment/test time despite achieving high training accuracy.\n\n- [Model-Free Risk-Sensitive RL](https://arxiv.org/abs/2111.02907) [Reinforcement Learning] (Delétang, et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/model-free-risk-sensitive-reinforcement-learning-5a12ba5ce662) - A way of updating value estimates in a RL agent which is somewhat based on risk-sensitivity in portfolio analysis for investments. More specifically, an extension of temporal-difference learning which can also be approached as a Rescorla-Wagner model in classical conditioning with the stimulus being the estimation error in some direction.\n\n- [Using Causal Influence Diagrams to define/find ‘agency’](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) [Blog](https://deepmindsafetyresearch.medium.com/discovering-when-an-agent-is-present-in-a-system-41154de11e7b) - A formal framework proposal for understanding agency in terms of “systems that would adapt their policies if their actions affected the world in a different way.” The authors use this framework to derive an algorithm for discovering agents from data and translating from causal models to game theoretic influence diagrams.\n\n- [Language Model Alignment](https://arxiv.org/abs/2103.14659) [Language Models, Value Alignment] (Kenton et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/alignment-of-language-agents-9fbc7dd52c6c) - A broad paper analyzing the potential for misalignment within language models, and possible initial approaches.\n\n- [Bayesian Analysis of meta-learning](https://arxiv.org/abs/2010.11223) [Interpretability] (Mikulik et al, 2020) [Blog](https://deepmindsafetyresearch.medium.com/understanding-meta-trained-algorithms-through-a-bayesian-lens-5042a1acc1c2) - Demonstration and reverse engineering of the use of Bayes-optimal algorithms within meta-trained recurrent neural networks. Shows that Bayes-optimal agents are fixed points of the meta-learning dynamics.\n\n[Redwood Research](https://www.redwoodresearch.org/)\n\n- [Adversarial Training for High-Stakes Reliability](https://arxiv.org/abs/2205.01663) [Language Models, Robustness] (Ziegler, 2022) [Blog](https://www.alignmentforum.org/posts/n3LAgnHg6ashQK3fF/takeaways-from-our-robust-injury-classifier-project-redwood) - An attempt to weakly/partially align an LLM so as to not output text where a character was harmed or injured, by using human-assisted adversarial training on a classifier designed to prevent the model from outputting such text. As an org they are pursuing adversarial training as a method for alignment.\n\n- [Polysemanticity and Capacity in Neural Networks](https://arxiv.org/abs/2210.01892) [Interpretability] (Schleris et al., 2022) [Blog](https://www.alignmentforum.org/posts/kWp4R9SYgKJFHAufB/polysemanticity-and-capacity-in-neural-networks) - Exploration into a phenomenon known as polysemanticity, where some neurons within ANNs represent a mixture of distinct features at once (as opposed to many others appearing to only represent one feature). This is done through the lens of capacity, which essentially asks how much dimension features require/consume when represented. Also looks at the theoretical geometry of feature space given optimal allocation.\n\n- [Interpretability in the Wild](https://arxiv.org/abs/2211.00593) [Interpretability, Language Models] (Wang et al., 2022) - A paper that seeks to apply the techniques of mechanistic interpretability on a large problem while still providing detailed results, as opposed to one or the other. Specifically, they seek an explanation for how GPT-2 performs the task of Indirect Object Identification, and then evaluate this explanation on quantitative versions of the criteria of faithfulness, completeness, and minimality.\n\n[Fund for Alignment Research](https://alignmentfund.org/) (FAR):\n\n- [Uncertainty Estimation for Language Reward Models](https://arxiv.org/pdf/2203.07472.pdf) [Calibrated Uncertainty, Language Models, Reinforcement Learning] (Gleave, 2022) - Trains an ensemble of reward models which differ only in their final layers’ initialization, in an attempt to improve uncertainty estimation, but while the aggregated predictions are well-calibrated the ensemble’s epistemic uncertainty is weakly correlated with the model’s error. They conclude that fine -tuning and pre-training methods will need to be modified to support uncertainty estimation, because using a single model with minimal initialization differences is not useful.\n\n- [For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria](https://arxiv.org/abs/2207.03470) [Reinforcement Learning, Game Theory] (Emmons, 2022) - Proves any locally optimal symmetric strategy is a global Nash Equilibrium under unilateral deviation, considers some classes for which these become unstable under joint deviations, and considers applications to different reinforcement learning strategies.\n\n- [Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions](https://arxiv.org/pdf/2204.05212.pdf) [Datasets, Engineering] (Parrish, Trivedi, Perez, 2022) - Partly strategy paper, findings suggest convincing arguments for correct vs. incorrect answers are not helpful for distinguishing between true and false statements, but human-selected passages are.\n\n- [RL with KL penalties is better viewed as Bayesian inference](https://arxiv.org/pdf/2205.11275.pdf) [Reinforcement Learning, Language Models] (Korbak, Perez, Buckley, 2022) - While standard RL is a bad choice for fine-tuning language models, they find that the standard approach of KL-divergence regularized RL is equivalent to variational inference, which is a new perspective on why this approach works where standard RL does not.\n\n[FHI’s causal incentives group](https://causalincentives.com/) (Mainly DeepMind and various academics):\n\n- [Reward Tampering Problems and Solutions](https://arxiv.org/abs/1908.04734) [Causality] (Everitt et al, 2021) - With reward tampering defined as inappropriately influencing the reward function (as opposed to influencing it as intended by some learning process), produces a model based on causal influence diagrams of when an RL agent would be incentivized to do so and develop principles for preventing the development of instrumental goals for tampering with the function or its inputs.\n\n- [Discovering Agents](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) - Formally defines agents within the framework of causality, and uses this to derive an algorithm to find agents from empirical data. Also provides methods of translating between their models and game-theoretic influence diagrams.\n\n- [Counterfactual Harm](https://arxiv.org/abs/2204.12993) [Causality, Value Alignment] (Richens, Beard, Thompson 2022) - Taking the concept of “harm” to be a counterfactual quality, shows that agents which cannot perform counterfactual reasoning are guaranteed to cause harm in certain cases. Derives objective functions which mitigate harm. Shows efficacy against identifying optimal drug doses–outperforms standard methods in terms of harm while still effective.\n\n### \t**Academics**\n\n[Jacob Steinhardt](https://jsteinhardt.stat.berkeley.edu/) (UC Berkeley):\n\n- [Certified Defenses Against Adversarial Examples](https://arxiv.org/pdf/1801.09344.pdf) [Robustness] (Raghunathan, Steinhardt, Liang, 2018) - Produces an adaptive regularizer based on a differentiable certificate for a one-layer neural network, which guarantees for a given network and test input, *no* attack can force the error to exceed a certain threshold. Applied to MNIST, guaranteed no attack which perturbed pixels by 0.1 could cause error to grow beyond 35%.\n\n- [Describing Differences between Text Distributions with Natural Language](https://arxiv.org/abs/2201.12323) [Language Models] (Zhong, Snell, Klein, Steinhardt, 2022) - Uses models of GPT-3 to learn summaries of the differences between distributions of text. After training this to around 76% similarity to human annotation of these datasets, they apply these outputs to do some work analyzing datasets, including describing distribution shifts.\n\n- [The Effects of Reward Misspecification](https://arxiv.org/abs/2201.03544) (Pan, Bhatia, Steinhardt, 2022) - A broader study across four RL environments on how reward hacking arises as a function of four specific agent capabilities. Generally, reward hacking increases as capabilities do, but there are also noticeable phase shifts where the true reward rapidly decreases while the proxy reward remains high.\n\n- [Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior](https://arxiv.org/pdf/2206.13498.pdf) [Interpretability] (Denain, Steinhardt, 2022) - Defines “anomalous models” from a set of “normal models”, which may include things such as backdoors or certain biases, then tests whether current transparency methods provide sufficiently different explanations. This is partially effective; certain significant differences like shape bias and adversarial training are detected, but subtler issues like training on incomplete data are not found.\n\n[Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/) (UC Berkeley, see Center for AI Safety for works):\n\n- [Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:5nxA0vEk-isC) [Robustness, Calibrated Uncertainty] (Hendrycks et al, 2019) - Finds that self-supervision can improve robustness to adversarial examples, label corruption, and common forms of input corruption. It was also found to improve OOD detection beyond fully supervised methods, suggesting this may be the primary approach to such a task.\n\n- [Deep Anomaly Detection with Outlier Exposure](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:Tyk-4Ss8FVUC) [Robustness] (Hendrycks et al, 2019) - One desirable trait of advanced models would be an ability to detect anomalous input (to reduce the range of successful adversarial attacks or for OOD detection). This paper explores training anomaly detectors on diverse sets of out-of-distribution data, successfully improving detection. As an additional result, models that trained on CIFAR-10 but scored higher on SVHN datasets were able to be readjusted with the anomaly detectors.\n\n- [Unsolved Problems in Machine Learning Safety](https://arxiv.org/abs/2109.13916) [Robustness] (Hendrycks et al., 2021) - A paper which provides a great summary of various technical areas of work related to safety in general (including a section on alignment in particular). The following is a list of links to a few of the referenced research papers and suggested approaches, but a full read would provide many more:\n\n***Improve Adversarial and Black Swan Robustness***\n\n- [Adding to existing robustness benchmarks](https://arxiv.org/abs/1903.12261) (Hendrycks, Dietterich, 2019)\n\n- [Develop new data augmentation techniques](https://arxiv.org/abs/2112.05135) (Hendrycks et al., 2021)\n\n- Generally: create new benchmarks for adversarial/black-swan robustness and try to improve models on old and new ones ideally without using capabilities as a crutch\n\n***Improve Model Calibration and Honesty***\n\n- Improve model calibration on typical testing data, [and testing data that is unlike the training data](https://arxiv.org/abs/1906.02530) (Ovadia et al., 2019)\n\n- [Create evaluation schemes that catch models being inconsistent](https://arxiv.org/abs/2102.01017) (Elazar et al., 2021)\n\n- Train more truthful models by incentivising models not to state falsehoods, spread misinformation or [repeat misconceptions](https://aclanthology.org/2020.acl-main.353/) (Peskov et al., 2020)\n\n- Generally: develop systems that can communicate their uncertainty honestly + accurately, and with language understandable by humans\n\n***Value Alignment and Objectives***\n\n- [Develop models which learn wellbeing functions that do not replicate human cognitive biases](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Develop models which can detect morally clear cut versus contentious scenarios](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Include difficult to specialize goals in interactive environments (CIRL)](https://arxiv.org/pdf/1606.03137.pdf) (Hadfield-Menell et al., 2016)\n\n- Generally: develop systems that optimize desired objectives rather than pursuing undesirable secondary objectives\n\n***Hidden Model Functionality***\n\n- [Improve backdoor detectors to counteract an expanding set of backdoor attacks](https://arxiv.org/pdf/2003.07233.pdf) (Karra et al., 2020)\n\n[Sam Bowman](https://cims.nyu.edu/~sbowman/index.shtml) (NYU, Prof), [ML2](https://wp.nyu.edu/ml2/) [Datasets]:\n\n- [NYU Alignment Research Group](https://wp.nyu.edu/arg/) - A new research group at NYU, with Sam Bowman as PI and researchers from various other ML, data science, and language-relevant groups at NYU such as [ML2](https://wp.nyu.edu/ml2/), focusing on empirical work with language models. See introductory post below.\n\n - [Why I Think More NLP Researchers Should Engage with AI Safety Concerns (Blog)](https://wp.nyu.edu/arg/why-ai-safety/) [Language Models] - Bowman claims we’re making progress faster than many expected and that progress is also providing a foundation for other problems without intentionally designing for them (consider GPT-3 in the realm of few-shot learning, other types of reasoning). This leaves NLP researchers potentially in an important role in the future development of AI systems and their safety, and that should at least be considered by those in the field.\n\n- [Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers](https://aclanthology.org/2021.blackboxnlp-1.42.pdf) [Interpretability, Language Models] (Phang, Liu, Bowman, 2021) - Use of centered kernel alignment to measure the similarity of representations in fine-tuned models across layers. They find strong similarities in early and later layers, but not in-between. Similarity in later layers suggests a lack of need for them, which they verify by removal.\n\n- [What Will It Take to Fix Benchmarking in NLU?](https://aclanthology.org/2021.naacl-main.385.pdf) [Datasets] (Bowman, Dahl, 2021) - Since unreliable and biased models score so highly on most NLU evaluation datasets, it is difficult to measure progress on actual improvements to the systems. Argues for four criteria such evaluation datasets should meet, and that adversarial data collection fails at improving these.\n\n- [Two Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions](https://arxiv.org/pdf/2210.10860.pdf) (Parrish, Trivedi, et al. 2022) - Answers produced by natural language models can be false yet reasonable-sounding, and in cases where responses are difficult to check this makes it difficult to trust the models. One suggested approach is the use of debate to help humans distinguish between correct and incorrect answers. [Previous research](https://arxiv.org/abs/2204.05212) has shown this is not effective in a one-step argument paradigm, and this paper shows it is not effective with two-step argument-counter arguments either, using human-produced correct and incorrect+misleading responses.\n\n[Alex Turner](https://www.linkedin.com/in/alexandermattturner/details/experience/) (Oregon State, Postdoc)\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- Also see “*Avoiding Side Effects in Complex Environments*” under CHAI for a more recent collaborative paper\n\n[Dylan Hadfield-Menell](https://scholar.google.com/citations?hl=en&user=4mVPFQ8AAAAJ&view_op=list_works&sortby=pubdate) (MIT, Assistant prof)\n\n- [White-Box Adversarial Policies in Deep Reinforcement Learning](https://arxiv.org/abs/2209.02167) [Robustness, Reinforcement Learning] (Casper, H-M, Kreiman, 2022) - Normal adversarial policy training methods (in RL) assume other agents to be a black box. Treating them as a white box, where adversaries can see the internal states of other agents at each time step, allows the adversary to find stronger policies while also allowing adversarial training on these policies to create more robust victim models in single-agent environments.\n\n- [Building Human Values into Recommender Systems](https://arxiv.org/abs/2207.10192) [Value Alignment] (Large collaboration, 2022) - A Multidisciplinary attempt to collect a set of values relevant to the design and implementation of recommendation systems and examine them at play in industry and policy.\n\n- [Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL](https://arxiv.org/abs/2208.10469) [Reinforcement Learning, Value Alignment, Game Theory] (Christofferson, Haupt, H-M, 2022) - Using an augmented Markov game where agents voluntarily agree to state-dependent reward transfers, it is shown that this strategy can guarantee all subgame-perfect equilibria in fully-observed games to be socially optimal with enough possible contracts, and verify this result empirically on games such as the Stag Hunt, a public goods game, and resource management.\n\n[David Krueger](https://twitter.com/davidskrueger) (Cambridge, Associate prof)\n\n- [Goal Misgeneralization in Deep RL](https://arxiv.org/abs/2105.14111) [Reinforcement Learning, Value Alignment/Robustness] (Langosco et al…, Krueger, 2021) - A study of goal misgeneralization, where RL agents retain their capabilities out of distribution but fail to achieve the desired goal due to having learned another. The paper seeks to formalize the problem as well as provide empirical instances of it occurring.\n\n- [Defining and Characterizing Reward Hacking](https://arxiv.org/pdf/2209.13085.pdf) [Reinforcement Learning, Value Alignment] (Skalse, Krueger, 2022) - Provides a formal definition of “reward hacking”, where a poor proxy leads to poor performance on the true reward function. Define an “unhackable proxy” where this cannot happen, show an instance of intuitive approaches failing, and study when proxies are unhackable in stochastic reward functions, deterministic and some stochastic policies, and seek necessary and sufficient conditions for simplifications. Suggests a tension between narrowness of task specification and value alignment.\n\n[Andrew Critch](https://scholar.google.com/citations?user=F3_yOXUAAAAJ&hl=en) (Berkeley, Research Scientist)\n\n- [Robust Cooperation Criterion for Open-Source Game Theory](https://www.cambridge.org/core/journals/journal-of-symbolic-logic/article/abs/parametric-resourcebounded-generalization-of-lobs-theorem-and-a-robust-cooperation-criterion-for-opensource-game-theory/16063EA7BFFEE89438631B141E556E79) [Robustness, Game Theory] (Critch, 2019) - In addition to a generalization of Lőb’s Theorem, provides an unexploitable (in Prisoner’s dilemma, never achieve (Cooperate, Defect), but sometimes achieve (Cooperate, Cooperate)) criterion for cooperation which requires proofs of another agent’s source code. This method outperforms Nash equilibria and correlated equilibria.\n\n- [Multi-Principal Assistance Games](https://arxiv.org/pdf/2012.14536.pdf) [Game Theory, Reinforcement Learning, Value Alignment] (Fickinger, Zhuang, Critch, et al, 2020) - Introduces an extension of the assistance game (CIRL), called the MPAG (as in title), with a stated example of apprenticeship where an agent needs to learn from a human working to achieve some utility and their preferences. As long as humans are sufficiently responsible for obtaining some fraction of the rewards then their preferences can be inferred from their work.\n\n[Roger Grosse](https://www.cs.toronto.edu/~rgrosse/) (Toronto, Assistant Prof) helped found [Vector Institute](https://vectorinstitute.ai/) ([VI Profile](https://vectorinstitute.ai/team/roger-grosse/))\n\n- [On Implicit Bias in Overparameterized Bilevel Optimization](https://proceedings.mlr.press/v162/vicol22a.html) (Vicol, Lorraine, …, Grosse et al, 2022) - Recent work has studied the implicit bias found in algorithms for single-level optimization, and this paper seeks to extend that work to bilevel optimization algorithms which involve both inner and outer parameters each optimized to their own objectives. In particular, the two methods studied were cold-start and warm-start and the convergence of solutions based on these and other algorithmic choices.\n\n- [If Influence Functions are the Answer, Then What is the Question?](https://arxiv.org/abs/2209.05364) (Bae, Ng, Lo, Ghassemi, Grosse, 2022) - Influence functions estimate the effect of removing individual data points on a model’s parameters, and align well for linear models but not so much for neural nets. This paper explores this discrepancy and finds that in nonlinear models, influence functions are better aligned with a quantity called the proximal Bregman response function, which allows us to continue using influence functions in nonlinear models to do such things as find influential and/or mislabeled examples.\n\n### **Independent Researchers**\n\n**[How to Get Into Independent Alignment Research](https://www.lesswrong.com/posts/P3Yt66Wh5g7SbkKuT/how-to-get-into-independent-research-on-alignment-agency)**\n\n[John Wentworth](https://www.lesswrong.com/users/johnswentworth):\n\n- [Plan](https://www.lesswrong.com/posts/3L46WGauGpr7nYubu/the-plan) - Goal is to formalize our ideas about certain concepts like agency and alignment, so that we can answer questions such as “Is an e-coli bacterium an agent? Does it have a world-model, and if so, what is it? Does it have a utility function, and if so, what is it? Does it have some other kind of ‘goal’?” and “What even are human values?”\n\n- [Selection Theorems](https://www.lesswrong.com/posts/G2Lne2Fi7Qra5Lbuf/selection-theorems-a-program-for-understanding-agents) - “Roughly speaking, a Selection Theorem tells us something about what agent type signatures will be selected for (by e.g. natural selection or ML training or economic profitability) in some broad class of environments.”\n\n - Exemplars include [Coherence Theorems](https://www.lesswrong.com/posts/RQpNHSiWaXTvDxt6R/coherent-decisions-imply-consistent-utilities) and the [Kelly Criterion](https://www.eecs.harvard.edu/cs286r/courses/fall10/papers/Chapter6.pdf) \n \n\n - What data structure represents the agent? What are its inputs and outputs? How does the data structure relate to the environment the agent exists within?\n\n- [Agent-Like Structure Problem](https://www.lesswrong.com/posts/moi3cFY2wpeKGu9TT/clarifying-the-agent-like-structure-problem): Searching for a proof that given a system robustly steers far-away parts of the world into a relatively small chunk of their potential state-space, that this system approaches probability 1 as it gets bigger/stronger/better-at-optimization that it is ‘consequentialist’. [Really, any proof or disproof of this nature regardless of the exact conclusion seems useful, even if it is narrower.]\n\n- [Utility Maximization = Description Length Minimization](https://www.lesswrong.com/posts/voLHQgNncnjjgAPH7/utility-maximization-description-length-minimization): An information theoretic formalization of the notion that “to ‘optimize’ a system is to reduce the number of bits required to represent the system using a particular encoding.” This is essentially equivalent to expected utility maximization.\n\n### **Further Reading**\n\nResearch Approach Overviews\n\n- Nate Soares, exec at MIRI, wrote [On how various plans miss the hard bits of the alignment challenge](https://www.lesswrong.com/posts/3pinFH3jerMzAvmza/on-how-various-plans-miss-the-hard-bits-of-the-alignment) as an informal overview of a number of different approaches to safety and specifically how they do or do not address the specific problem of alignment.\n\n- Larks' yearly [Alignment Literature Review and Charity Comparison](https://www.lesswrong.com/posts/C4tR3BEpuWviT7Sje/2021-ai-alignment-literature-review-and-charity-comparison) contains recent technical research (from 2021 in this post) sorted by organization, with additional fields such as forecasting and AI governance.\n\n- Andrew Critch's [Some AI research areas and their relevance to existential safety](https://www.lesswrong.com/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1) reviews a number of different areas of work relevant to AI safety in general, and then rates them on a number of metrics including apparent relevance to *existential* safety, educational value for a researcher’s career, and neglected ness.\n\n- Evan Hubinger’s [11 Proposals](https://www.alignmentforum.org/posts/fRsjBseRuvRhMPPE5/an-overview-of-11-proposals-for-building-safe-advanced-ai) discusses many suggested approaches (up to 29th May 2020) of building safe advanced AI, albeit these proposals may not be the most relevant until AGI is on the horizon. It considers 4 aspects of each approach: how it solves the *outer alignment problem* (getting the objective function correctly aligned with human values), the *inner alignment problem* (preventing a model from having an internal objective function which is misaligned with the actual objective function), *training competitiveness* (how costly is it to get equal performance as compared to unsafe SOTA?), and *performance competitiveness* (how much of a capabilities cost does the method have?)\n\nAdditional Areas of Work\n\n[A Mechanistic Interpretability Analysis of Grokking](https://www.alignmentforum.org/posts/N6WM6hs7RQMKDhYjB/a-mechanistic-interpretability-analysis-of-grokking) (Neel Nanda) [Interpretability]:\n\nThis post uses the concept of [circuits](https://distill.pub/2020/circuits/), originally developed by OpenAI, to reverse engineer a learned algorithm used to perform generalized modular arithmetic by a neural network. This was also a way to try and tease apart the idea of grokking, where a model’s performance on the test set improves drastically after a significant period after converging on the training set. An important result found that the use of this algorithm within the network smoothly increased over training time, suggesting gradient descent robustly caught on to it, and that it was not just random chance producing this outcome.\n\n[AI Safety Needs Great Engineers](https://www.lesswrong.com/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers) (Andy Jones) [Engineering]: **“If you think you could write a substantial pull request for a major machine learning library, then major AI safety labs want to interview you** ***today*****.”** \n\nAI Safety has quickly developed an empirical subfield, but to run experiments on even weak AI systems requires significant amounts of custom software. Useful traits include, but are not limited to or required to be:\n\n- experience with distributed systems\n\n- experience with numerical systems\n\n- caring about, and thinking a lot about, about AI safety\n\n- comfortable reading contemporary ML research papers\n\n- expertise in security, infrastructure, data, numerics, social science, or one of a dozen other hard-to-find specialities.\n\nRight now in the field, even prototypes need serious engineering, minimizing the distinction between engineers and researchers; the first two authors on GPT-3 are engineers. If you are potentially interested in skilling up, check out 80,000 hours’ [software engineering guide](https://80000hours.org/career-reviews/software-engineering/). The website also has a [job board](https://jobs.80000hours.org/?refinementList%5Btags_area%5D%5B0%5D=AI%20safety%20%26%20policy), though some of these are for technical research.\n\n```" + "Rich Text": "```**[[NOTE TO EDITORS: This page is being deprecated in favor of** [What is everyone working on in AI alignment?](/?state=8392&question=What%20is%20everyone%20working%20on%20in%20AI%20alignment%3F)**and organization/researcher pages linked to from that page)**\n\nThese are some recommended tags meant to allow a reader to search for potential relevance, not necessarily strong claims about what field of research a particular idea or paper falls under:\n\n- Value Alignment, Interpretability, Agent Foundations, Reinforcement Learning, Language Models, Calibrated Uncertainty, Causality, Robustness, Datasets, Engineering, Game Theory\n\n### \t**Organizations**\n\n[MIRI](https://intelligence.org/):\n\n- [Embedded Agency](https://arxiv.org/abs/1902.09469) [Agent Foundations] (Demski, 2020) - A suggested framework for understanding an agent as a *part* of the environment it interacts with (as we are), rather than separate as most theories of agency do. Multiple groups seem interested in this; DeepMind for example has also made posts on this subject.\n\n- [Cartesian Frames](https://arxiv.org/abs/2109.10996) [Agent Foundations] (Garrabrant, 2021) - Creating a basis for understanding groups of potential actions agents could take, and manipulations on those sets as a possible means to understand how action spaces can evolve over time.\n\n- [Evan Hubinger’s Research Agenda](https://www.lesswrong.com/posts/GeabLEXYP7oBMivmF/acceptability-verification-a-research-agenda) [Interpretability] - Develop “acceptability desiderata” (two examples are myopia: the agent is unable to look/receive signals from future time steps, and broad corrigibility: the agent is actually, actively helping you to determine if things are going well and to clarify your preferences) which we can measure using interpretability techniques. Ideally, so long as these conditions are met, there will not be *catastrophic* issues.\n\n- [Vanessa Kosoy’s Research Agenda](https://www.lesswrong.com/posts/5bd75cc58225bf0670375575/the-learning-theoretic-ai-alignment-research-agenda) [Agent Foundations, Reinforcement Learning] - Work on a general abstract view of intelligence, of which AI alignment seems to be a part of, use the framework to formulate alignment problems within learning theory and evaluate solutions based on these formal properties. Example work: [Delegated Reinforcement Learning](https://intelligence.org/2019/04/24/delegative-reinforcement-learning/) (Kosoy, 2019) - Avoids assumption of no traps or episodic regret bounds, by allowing an agent to optionally delegate certain tasks to an advisor.\n\n[Alignment Research Center (ARC)](http://alignment.org):\n\n- [Eliciting Latent Knowledge](https://docs.google.com/document/d/1WwsnJQstPq91_Yh-Ch2XRL8H_EpsnjrC1dwZXR37PC8/edit) (ELK) [Interpretability] - In the event a prediction model has some internal knowledge about the world that is relevant to our making decisions using it (that are not already in its output), ARC is trying to develop a training strategy such that we have a method of “eliciting” or accessing it from the model itself. \n\n- Subproblem: Ontology Identification (See Above) [Interpretability] - A special case of ELK in which there is probabilistic reasoning occurring within the model which doesn’t really correspond easily with human models. For example, an AI may reason about the world using the concepts of atoms while humans use much higher-level concepts, or vice versa, where it might reason with abstractions higher than humans have. \n\n- [Evaluating language model power-seeking](https://docs.google.com/document/d/1tf9Diyf46jlhuy7FcfvV1Ti9DsAxDAjVojMzruEySIg/edit) [Datasets, Engineering] (Headed by [Beth Barnes](https://www.barnes.page/)) - Trying to create a dataset which could provide benchmarks or at least thresholds to determine “how dangerous is this model?”. Somewhat preliminary stages, the current plan is to have a model play a text-based game where it is trying to get money and power, avoid detection when doing so, and not get shut down, at first against humans and potentially eventually against an automated benchmarking system. Alternatively, test it on specifically dangerous tasks in a controlled setting.\n\n[Anthropic](http://anthropic.com):\n\n- [Honest Harmless Helpful Language Model](https://arxiv.org/abs/2112.00861) [Language Models] (Askell, 2021) - Using prompting as a baseline to study the idea of aligning an LLM. Basic attempts seem to scale well with model size, presumably because they rely on the capabilities of the model to interpret the prompt. This paper primarily focuses on experimenting with evaluation methods.\n\n- [Part 2](https://arxiv.org/abs/2204.05862) [Reinforcement Learning, Language Models] (Bai, 2022) - A more significant approach than the first HHH paper, using reinforcement learning from human feedback and preference modeling to finetune the LMs. Further work is done testing and analyzing the robustness of the training method, calibration of the preference models, competing objectives and out-of-distribution detection.\n\n- [Mathematical Framework for Transformer Circuits](https://transformer-circuits.pub/2021/framework/index.html) [Interpretability] (Elhage, Nanda, 2021) - The idea of circuits was first applied to CNNs in the case of vision, but recent large models (especially for language) use transformers in their architecture. This paper is meant to begin filling that gap. Contains a reference to a [second paper](https://transformer-circuits.pub/2022/in-context-learning-and-induction-heads/index.html) which has some more significant results. Specifically, the idea of “induction heads”, which are attention heads which allow for in-context learning.\n\n- [Language Models (Mostly) Know What they Know](https://arxiv.org/abs/2207.05221) [Language Models, Calibrated Uncertainty] (Kadavath, Kaplan, 2022) - Tasks LMs with predicting which questions they will get correct, and whether their own claims are valid. Preliminary results are encouraging; generally the models are calibrated to the probability their answers are correct, after proposing them. Calibration is worse when the question becomes “Do you know the answer to x?”, but improves when given extra source material to work with.\n\n[Center for AI safety](http://safe.ai) (See also *Dan Hendrycks* under Academics):\n\n- [Open Problems in AI safety](https://arxiv.org/abs/2109.13916) [Value Alignment, Robustness, Interpretability] (Hendrycks, 2022) - A summary and survey of four categories of problems in the field of “AI safety”: robustness, monitoring, alignment, and systemic safety. Includes an overview of some potential research directions and papers submitted by others.\n\n- [A Critical Analysis of Out-of-Distribution Generalization](https://arxiv.org/abs/2006.16241) [Robustness, Datasets] (Hendrycks et al, 2021) - Produces four new distribution-shift image datasets, use them to test various methods that attempt to improve robustness to these types of shifts, and introduce a new method of data augmentation. They also find that certain methods are better for certain types of distribution shifts, and no method consistently improves robustness on all shifts.\n\n[Center for Human Compatible AI (CHAI)](http://humancompatible.ai):\n\n- General Approach: [Cooperative Inverse Reinforcement Learning](https://arxiv.org/abs/1606.03137) (Hadfield-Menell, Dragan, Abbeel, Russell, 2016) - A formal proposal for the value alignment problem, where the AI and the human engage in which the AI does not know the human’s reward function (but is rewarded by it). An extension of IRL which leads to behaviors such as active teaching and learning on the part of the human and machine. Some initial proofs are given as well.\n\n- See also *Stuart Russell* as the Principal Investigator.\n\n- [2022 Progress Report](https://humancompatible.ai/app/uploads/2022/05/CHAI-2022-Progress-Report-3.pdf) Sample of Papers:\n\n- [Clusterability in Neural Networks](https://arxiv.org/abs/2103.03386) [Interpretability] (Casper, Filan, Hod, 2021) - Searching for structure within neural networks by mapping out groups of neurons with strong internal connectivity and weak external connectivity. In addition to observation, they also provide methods to encourage clustering during training, in the hopes it may assist with interpretation.\n\n- [Quantifying Local Specialization](https://arxiv.org/abs/2110.08058) in Deep Neural Networks [Interpretability] (Casper, Filan, Hod, 2022) - Explores whether deep networks can be broken up into subsections which each specialize in tasks relevant to the “main” task. Builds off of the idea of clustering, and shows that graph-based partitioning *does* provide useful information.\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- [Symmetry, Equilibria, and Robustness in Common-Payoff Games](https://arxiv.org/abs/2012.05862) [Game Theory] (Michaud, Gleave, Russell, 2020) - Shows that any locally optimal symmetric strategy profile is also a global Nash equilibrium. This result is robust to changes in the common payoff and local optimum. See also “*For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria (Emmons, 2022)*” under FAR for an extension of these results.\n\n[Conjecture](http://conjecture.dev) [Interpretability, Language Models]:\n\n- Not much work is publicly available, but focus is on *scalable* LLM interpretability and “simulacra theory”, which is based on the idea that LLMs can help accelerate alignment research without themselves producing or becoming agents.\n\n- Hosts REFINE, a 3-month incubator for conceptual alignment research in London. Applications for the first cohort are currently closed, but more information can be found [here](https://www.lesswrong.com/posts/D7epkkJb3CqDTYgX9/refine-an-incubator-for-conceptual-alignment-research-bets).\n\n[Cooperative AI Foundation (CAIF)](https://www.cooperativeai.com/):\n\n- [Open Problems in Cooperative AI](https://arxiv.org/pdf/2012.08630.pdf) [Game Theory] (Dafoe et al, 2020) - Primary goals: designing agents with the capabilities necessary for cooperation, fostering cooperation within society (both for humans and machines), and general research in these directions. Examples of the problem space given are self-driving vehicles and COVID-19 responses.\n\n- [Evaluating Cooperative AI](https://www.cooperativeai.com/calls-for-proposals/evaluation-for-cooperative-ai) [Datasets] - CAIF is seeking applicants for a director and proposals for benchmarks and conceptual research useful for evaluating desirable qualities in the context of “cooperative AI” for the sake of iterative engineering.\n\n[OpenAI safety Team](https://openai.com/):\n\n- [Overview of their approach](https://openai.com/blog/our-approach-to-alignment-research/): In summary, empiricism and iteration to develop a sufficiently aligned, sufficiently advanced model that can solve the theoretical problems (or just help us build better, still aligned AI)\n\n- [Circuits](https://distill.pub/2020/circuits/zoom-in/) [Interpretability] (Olah et al, 2020) - A framework for understanding how neural networks actually implement more understandable algorithms than we might initially expect, and how to find them. Primarily demonstrated within CNNs in this thread, although as shown by Anthropic seems extendable to transformers. See also [their attempt](https://distill.pub/2020/circuits/curve-circuits/) to implement a handwritten neural network layer based on these principles.\n\n- [Deep RL from Human Preferences](https://arxiv.org/abs/1706.03741) [Reinforcement Learning, Value Alignment] (Christiano et al, 2017) [Blog](https://openai.com/blog/deep-reinforcement-learning-from-human-preferences/) - Demonstrated solving of complex tasks by learning from (non-expert) human feedback, without any access to the actual objective function.\n\n- [AI Written Critiques Help Humans Notice Flaws](https://arxiv.org/abs/2206.05802) [Reinforcement Learning, Language Models] (Saunders, Yeh, Wu, 2022) [Blog](https://openai.com/blog/critiques/) - Even though the models used are not better at writing summaries than humans, and writing summaries is not a difficult task for humans, AI assistance still increases the number of errors found by humans. Furthermore, this ability seems to scale faster than summary writing capabilities.\n\n- [AI safety via Debate](https://arxiv.org/pdf/1805.00899.pdf) (Irving, Christiano, Amodei, 2018) - A suggested approach to simplicity specifying complex human goals by training agents to play a zero-sum debate game. Given optimal play, in theory debate can solve any problem in PSPACE given polynomial time judges, and empirically the authors were able to demonstrate significant improvements in a sparse classifier’s accuracy given 6 pixels and a debate sequence from 59.4% to 88.9%.\n\n- [Iterated Amplification](https://arxiv.org/abs/1810.08575) [Value Alignment] (Christiano, Schlergris, Amodei, 2018) [Blog](https://openai.com/blog/amplifying-ai-training/) - a suggested approach to safety, by using weaker AIs + humans to supervise the training of more powerful AIs, in an iterative manner, to achieve any level of capability desired while maintaining our ability to catch potential errors and dangers.\n\n[DeepMind Safety Team](https://deepmindsafetyresearch.medium.com/): \n\n- [AI safety Gridworlds](https://arxiv.org/abs/1711.09883) [Engineering] (Leike et al, 2017) - Environments designed to keep track of a distinct reward and ‘safety objective’, of which the learning agent only has access to the first.\n\n- [Goal Misgeneralization](https://arxiv.org/abs/2210.01790) [Reinforcement Learning] (Shah, et al., 2022) - While there is already a risk of failing to correctly specify the designer’s desired goal in a learning system, this paper focuses on examples of learning algorithms acted towards undesired goals even when the specification is correct. Here, the algorithm competently pursues this undesired goal during deployment/test time despite achieving high training accuracy.\n\n- [Model-Free Risk-Sensitive RL](https://arxiv.org/abs/2111.02907) [Reinforcement Learning] (Delétang, et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/model-free-risk-sensitive-reinforcement-learning-5a12ba5ce662) - A way of updating value estimates in a RL agent which is somewhat based on risk-sensitivity in portfolio analysis for investments. More specifically, an extension of temporal-difference learning which can also be approached as a Rescorla-Wagner model in classical conditioning with the stimulus being the estimation error in some direction.\n\n- [Using Causal Influence Diagrams to define/find ‘agency’](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) [Blog](https://deepmindsafetyresearch.medium.com/discovering-when-an-agent-is-present-in-a-system-41154de11e7b) - A formal framework proposal for understanding agency in terms of “systems that would adapt their policies if their actions affected the world in a different way.” The authors use this framework to derive an algorithm for discovering agents from data and translating from causal models to game theoretic influence diagrams.\n\n- [Language Model Alignment](https://arxiv.org/abs/2103.14659) [Language Models, Value Alignment] (Kenton et al, 2021) [Blog](https://deepmindsafetyresearch.medium.com/alignment-of-language-agents-9fbc7dd52c6c) - A broad paper analyzing the potential for misalignment within language models, and possible initial approaches.\n\n- [Bayesian Analysis of meta-learning](https://arxiv.org/abs/2010.11223) [Interpretability] (Mikulik et al, 2020) [Blog](https://deepmindsafetyresearch.medium.com/understanding-meta-trained-algorithms-through-a-bayesian-lens-5042a1acc1c2) - Demonstration and reverse engineering of the use of Bayes-optimal algorithms within meta-trained recurrent neural networks. Shows that Bayes-optimal agents are fixed points of the meta-learning dynamics.\n\n[Redwood Research](https://www.redwoodresearch.org/)\n\n- [Adversarial Training for High-Stakes Reliability](https://arxiv.org/abs/2205.01663) [Language Models, Robustness] (Ziegler, 2022) [Blog](https://www.alignmentforum.org/posts/n3LAgnHg6ashQK3fF/takeaways-from-our-robust-injury-classifier-project-redwood) - An attempt to weakly/partially align an LLM so as to not output text where a character was harmed or injured, by using human-assisted adversarial training on a classifier designed to prevent the model from outputting such text. As an org they are pursuing adversarial training as a method for alignment.\n\n- [Polysemanticity and Capacity in Neural Networks](https://arxiv.org/abs/2210.01892) [Interpretability] (Schleris et al., 2022) [Blog](https://www.alignmentforum.org/posts/kWp4R9SYgKJFHAufB/polysemanticity-and-capacity-in-neural-networks) - Exploration into a phenomenon known as polysemanticity, where some neurons within ANNs represent a mixture of distinct features at once (as opposed to many others appearing to only represent one feature). This is done through the lens of capacity, which essentially asks how much dimension features require/consume when represented. Also looks at the theoretical geometry of feature space given optimal allocation.\n\n- [Interpretability in the Wild](https://arxiv.org/abs/2211.00593) [Interpretability, Language Models] (Wang et al., 2022) - A paper that seeks to apply the techniques of mechanistic interpretability on a large problem while still providing detailed results, as opposed to one or the other. Specifically, they seek an explanation for how GPT-2 performs the task of Indirect Object Identification, and then evaluate this explanation on quantitative versions of the criteria of faithfulness, completeness, and minimality.\n\n[Fund for Alignment Research](https://alignmentfund.org/) (FAR):\n\n- [Uncertainty Estimation for Language Reward Models](https://arxiv.org/pdf/2203.07472.pdf) [Calibrated Uncertainty, Language Models, Reinforcement Learning] (Gleave, 2022) - Trains an ensemble of reward models which differ only in their final layers’ initialization, in an attempt to improve uncertainty estimation, but while the aggregated predictions are well-calibrated the ensemble’s epistemic uncertainty is weakly correlated with the model’s error. They conclude that fine -tuning and pre-training methods will need to be modified to support uncertainty estimation, because using a single model with minimal initialization differences is not useful.\n\n- [For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria](https://arxiv.org/abs/2207.03470) [Reinforcement Learning, Game Theory] (Emmons, 2022) - Proves any locally optimal symmetric strategy is a global Nash Equilibrium under unilateral deviation, considers some classes for which these become unstable under joint deviations, and considers applications to different reinforcement learning strategies.\n\n- [Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions](https://arxiv.org/pdf/2204.05212.pdf) [Datasets, Engineering] (Parrish, Trivedi, Perez, 2022) - Partly strategy paper, findings suggest convincing arguments for correct vs. incorrect answers are not helpful for distinguishing between true and false statements, but human-selected passages are.\n\n- [RL with KL penalties is better viewed as Bayesian inference](https://arxiv.org/pdf/2205.11275.pdf) [Reinforcement Learning, Language Models] (Korbak, Perez, Buckley, 2022) - While standard RL is a bad choice for fine-tuning language models, they find that the standard approach of KL-divergence regularized RL is equivalent to variational inference, which is a new perspective on why this approach works where standard RL does not.\n\n[FHI’s causal incentives group](https://causalincentives.com/) (Mainly DeepMind and various academics):\n\n- [Reward Tampering Problems and Solutions](https://arxiv.org/abs/1908.04734) [Causality] (Everitt et al, 2021) - With reward tampering defined as inappropriately influencing the reward function (as opposed to influencing it as intended by some learning process), produces a model based on causal influence diagrams of when an RL agent would be incentivized to do so and develop principles for preventing the development of instrumental goals for tampering with the function or its inputs.\n\n- [Discovering Agents](https://arxiv.org/abs/2208.08345) [Agent Foundations, Causality] (Kenton et al, 2022) - Formally defines agents within the framework of causality, and uses this to derive an algorithm to find agents from empirical data. Also provides methods of translating between their models and game-theoretic influence diagrams.\n\n- [Counterfactual Harm](https://arxiv.org/abs/2204.12993) [Causality, Value Alignment] (Richens, Beard, Thompson 2022) - Taking the concept of “harm” to be a counterfactual quality, shows that agents which cannot perform counterfactual reasoning are guaranteed to cause harm in certain cases. Derives objective functions which mitigate harm. Shows efficacy against identifying optimal drug doses–outperforms standard methods in terms of harm while still effective.\n\n### \t**Academics**\n\n[Jacob Steinhardt](https://jsteinhardt.stat.berkeley.edu/) (UC Berkeley):\n\n- [Certified Defenses Against Adversarial Examples](https://arxiv.org/pdf/1801.09344.pdf) [Robustness] (Raghunathan, Steinhardt, Liang, 2018) - Produces an adaptive regularizer based on a differentiable certificate for a one-layer neural network, which guarantees for a given network and test input, *no* attack can force the error to exceed a certain threshold. Applied to MNIST, guaranteed no attack which perturbed pixels by 0.1 could cause error to grow beyond 35%.\n\n- [Describing Differences between Text Distributions with Natural Language](https://arxiv.org/abs/2201.12323) [Language Models] (Zhong, Snell, Klein, Steinhardt, 2022) - Uses models of GPT-3 to learn summaries of the differences between distributions of text. After training this to around 76% similarity to human annotation of these datasets, they apply these outputs to do some work analyzing datasets, including describing distribution shifts.\n\n- [The Effects of Reward Misspecification](https://arxiv.org/abs/2201.03544) (Pan, Bhatia, Steinhardt, 2022) - A broader study across four RL environments on how reward hacking arises as a function of four specific agent capabilities. Generally, reward hacking increases as capabilities do, but there are also noticeable phase shifts where the true reward rapidly decreases while the proxy reward remains high.\n\n- [Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior](https://arxiv.org/pdf/2206.13498.pdf) [Interpretability] (Denain, Steinhardt, 2022) - Defines “anomalous models” from a set of “normal models”, which may include things such as backdoors or certain biases, then tests whether current transparency methods provide sufficiently different explanations. This is partially effective; certain significant differences like shape bias and adversarial training are detected, but subtler issues like training on incomplete data are not found.\n\n[Dan Hendrycks](https://people.eecs.berkeley.edu/~hendrycks/) (UC Berkeley, see Center for AI safety for works):\n\n- [Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:5nxA0vEk-isC) [Robustness, Calibrated Uncertainty] (Hendrycks et al, 2019) - Finds that self-supervision can improve robustness to adversarial examples, label corruption, and common forms of input corruption. It was also found to improve OOD detection beyond fully supervised methods, suggesting this may be the primary approach to such a task.\n\n- [Deep Anomaly Detection with Outlier Exposure](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=czyretsAAAAJ&citation_for_view=czyretsAAAAJ:Tyk-4Ss8FVUC) [Robustness] (Hendrycks et al, 2019) - One desirable trait of advanced models would be an ability to detect anomalous input (to reduce the range of successful adversarial attacks or for OOD detection). This paper explores training anomaly detectors on diverse sets of out-of-distribution data, successfully improving detection. As an additional result, models that trained on CIFAR-10 but scored higher on SVHN datasets were able to be readjusted with the anomaly detectors.\n\n- [Unsolved Problems in Machine Learning Safety](https://arxiv.org/abs/2109.13916) [Robustness] (Hendrycks et al., 2021) - A paper which provides a great summary of various technical areas of work related to safety in general (including a section on alignment in particular). The following is a list of links to a few of the referenced research papers and suggested approaches, but a full read would provide many more:\n\n***Improve Adversarial and Black Swan Robustness***\n\n- [Adding to existing robustness benchmarks](https://arxiv.org/abs/1903.12261) (Hendrycks, Dietterich, 2019)\n\n- [Develop new data augmentation techniques](https://arxiv.org/abs/2112.05135) (Hendrycks et al., 2021)\n\n- Generally: create new benchmarks for adversarial/black-swan robustness and try to improve models on old and new ones ideally without using capabilities as a crutch\n\n***Improve Model Calibration and Honesty***\n\n- Improve model calibration on typical testing data, [and testing data that is unlike the training data](https://arxiv.org/abs/1906.02530) (Ovadia et al., 2019)\n\n- [Create evaluation schemes that catch models being inconsistent](https://arxiv.org/abs/2102.01017) (Elazar et al., 2021)\n\n- Train more truthful models by incentivising models not to state falsehoods, spread misinformation or [repeat misconceptions](https://aclanthology.org/2020.acl-main.353/) (Peskov et al., 2020)\n\n- Generally: develop systems that can communicate their uncertainty honestly + accurately, and with language understandable by humans\n\n***Value Alignment and Objectives***\n\n- [Develop models which learn wellbeing functions that do not replicate human cognitive biases](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Develop models which can detect morally clear cut versus contentious scenarios](https://arxiv.org/abs/2008.02275) (Hendrycks et al., 2020)\n\n- [Include difficult to specialize goals in interactive environments (CIRL)](https://arxiv.org/pdf/1606.03137.pdf) (Hadfield-Menell et al., 2016)\n\n- Generally: develop systems that optimize desired objectives rather than pursuing undesirable secondary objectives\n\n***Hidden Model Functionality***\n\n- [Improve backdoor detectors to counteract an expanding set of backdoor attacks](https://arxiv.org/pdf/2003.07233.pdf) (Karra et al., 2020)\n\n[Sam Bowman](https://cims.nyu.edu/~sbowman/index.shtml) (NYU, Prof), [ML2](https://wp.nyu.edu/ml2/) [Datasets]:\n\n- [NYU Alignment Research Group](https://wp.nyu.edu/arg/) - A new research group at NYU, with Sam Bowman as PI and researchers from various other ML, data science, and language-relevant groups at NYU such as [ML2](https://wp.nyu.edu/ml2/), focusing on empirical work with language models. See introductory post below.\n\n - [Why I Think More NLP Researchers Should Engage with AI safety Concerns (Blog)](https://wp.nyu.edu/arg/why-ai-safety/) [Language Models] - Bowman claims we’re making progress faster than many expected and that progress is also providing a foundation for other problems without intentionally designing for them (consider GPT-3 in the realm of few-shot learning, other types of reasoning). This leaves NLP researchers potentially in an important role in the future development of AI systems and their safety, and that should at least be considered by those in the field.\n\n- [Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers](https://aclanthology.org/2021.blackboxnlp-1.42.pdf) [Interpretability, Language Models] (Phang, Liu, Bowman, 2021) - Use of centered kernel alignment to measure the similarity of representations in fine-tuned models across layers. They find strong similarities in early and later layers, but not in-between. Similarity in later layers suggests a lack of need for them, which they verify by removal.\n\n- [What Will It Take to Fix Benchmarking in NLU?](https://aclanthology.org/2021.naacl-main.385.pdf) [Datasets] (Bowman, Dahl, 2021) - Since unreliable and biased models score so highly on most NLU evaluation datasets, it is difficult to measure progress on actual improvements to the systems. Argues for four criteria such evaluation datasets should meet, and that adversarial data collection fails at improving these.\n\n- [Two Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions](https://arxiv.org/pdf/2210.10860.pdf) (Parrish, Trivedi, et al. 2022) - Answers produced by natural language models can be false yet reasonable-sounding, and in cases where responses are difficult to check this makes it difficult to trust the models. One suggested approach is the use of debate to help humans distinguish between correct and incorrect answers. [Previous research](https://arxiv.org/abs/2204.05212) has shown this is not effective in a one-step argument paradigm, and this paper shows it is not effective with two-step argument-counter arguments either, using human-produced correct and incorrect+misleading responses.\n\n[Alex Turner](https://www.linkedin.com/in/alexandermattturner/details/experience/) (Oregon State, Postdoc)\n\n- [Avoiding Side Effects in Complex Environments](https://arxiv.org/pdf/2006.06547.pdf) [Reinforcement Learning] (Turner, Ratzlaff, 2020) - Tests “Attainable Utility Preservation” and shows that it avoids side effects in toy environments. The essential idea is to use randomly generated reward functions as auxiliary measures, costing the agent if they became unable to achieve them. This way, as much capacity for doing everything beyond the primary goal is kept while the primary task is still completed.\n\n- Also see “*Avoiding Side Effects in Complex Environments*” under CHAI for a more recent collaborative paper\n\n[Dylan Hadfield-Menell](https://scholar.google.com/citations?hl=en&user=4mVPFQ8AAAAJ&view_op=list_works&sortby=pubdate) (MIT, Assistant prof)\n\n- [White-Box Adversarial Policies in Deep Reinforcement Learning](https://arxiv.org/abs/2209.02167) [Robustness, Reinforcement Learning] (Casper, H-M, Kreiman, 2022) - Normal adversarial policy training methods (in RL) assume other agents to be a black box. Treating them as a white box, where adversaries can see the internal states of other agents at each time step, allows the adversary to find stronger policies while also allowing adversarial training on these policies to create more robust victim models in single-agent environments.\n\n- [Building Human Values into Recommender Systems](https://arxiv.org/abs/2207.10192) [Value Alignment] (Large collaboration, 2022) - A Multidisciplinary attempt to collect a set of values relevant to the design and implementation of recommendation systems and examine them at play in industry and policy.\n\n- [Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL](https://arxiv.org/abs/2208.10469) [Reinforcement Learning, Value Alignment, Game Theory] (Christofferson, Haupt, H-M, 2022) - Using an augmented Markov game where agents voluntarily agree to state-dependent reward transfers, it is shown that this strategy can guarantee all subgame-perfect equilibria in fully-observed games to be socially optimal with enough possible contracts, and verify this result empirically on games such as the Stag Hunt, a public goods game, and resource management.\n\n[David Krueger](https://twitter.com/davidskrueger) (Cambridge, Associate prof)\n\n- [Goal Misgeneralization in Deep RL](https://arxiv.org/abs/2105.14111) [Reinforcement Learning, Value Alignment/Robustness] (Langosco et al…, Krueger, 2021) - A study of goal misgeneralization, where RL agents retain their capabilities out of distribution but fail to achieve the desired goal due to having learned another. The paper seeks to formalize the problem as well as provide empirical instances of it occurring.\n\n- [Defining and Characterizing Reward Hacking](https://arxiv.org/pdf/2209.13085.pdf) [Reinforcement Learning, Value Alignment] (Skalse, Krueger, 2022) - Provides a formal definition of “reward hacking”, where a poor proxy leads to poor performance on the true reward function. Define an “unhackable proxy” where this cannot happen, show an instance of intuitive approaches failing, and study when proxies are unhackable in stochastic reward functions, deterministic and some stochastic policies, and seek necessary and sufficient conditions for simplifications. Suggests a tension between narrowness of task specification and value alignment.\n\n[Andrew Critch](https://scholar.google.com/citations?user=F3_yOXUAAAAJ&hl=en) (Berkeley, Research Scientist)\n\n- [Robust Cooperation Criterion for Open-Source Game Theory](https://www.cambridge.org/core/journals/journal-of-symbolic-logic/article/abs/parametric-resourcebounded-generalization-of-lobs-theorem-and-a-robust-cooperation-criterion-for-opensource-game-theory/16063EA7BFFEE89438631B141E556E79) [Robustness, Game Theory] (Critch, 2019) - In addition to a generalization of Lőb’s Theorem, provides an unexploitable (in Prisoner’s dilemma, never achieve (Cooperate, Defect), but sometimes achieve (Cooperate, Cooperate)) criterion for cooperation which requires proofs of another agent’s source code. This method outperforms Nash equilibria and correlated equilibria.\n\n- [Multi-Principal Assistance Games](https://arxiv.org/pdf/2012.14536.pdf) [Game Theory, Reinforcement Learning, Value Alignment] (Fickinger, Zhuang, Critch, et al, 2020) - Introduces an extension of the assistance game (CIRL), called the MPAG (as in title), with a stated example of apprenticeship where an agent needs to learn from a human working to achieve some utility and their preferences. As long as humans are sufficiently responsible for obtaining some fraction of the rewards then their preferences can be inferred from their work.\n\n[Roger Grosse](https://www.cs.toronto.edu/~rgrosse/) (Toronto, Assistant Prof) helped found [Vector Institute](https://vectorinstitute.ai/) ([VI Profile](https://vectorinstitute.ai/team/roger-grosse/))\n\n- [On Implicit Bias in Overparameterized Bilevel Optimization](https://proceedings.mlr.press/v162/vicol22a.html) (Vicol, Lorraine, …, Grosse et al, 2022) - Recent work has studied the implicit bias found in algorithms for single-level optimization, and this paper seeks to extend that work to bilevel optimization algorithms which involve both inner and outer parameters each optimized to their own objectives. In particular, the two methods studied were cold-start and warm-start and the convergence of solutions based on these and other algorithmic choices.\n\n- [If Influence Functions are the Answer, Then What is the Question?](https://arxiv.org/abs/2209.05364) (Bae, Ng, Lo, Ghassemi, Grosse, 2022) - Influence functions estimate the effect of removing individual data points on a model’s parameters, and align well for linear models but not so much for neural nets. This paper explores this discrepancy and finds that in nonlinear models, influence functions are better aligned with a quantity called the proximal Bregman response function, which allows us to continue using influence functions in nonlinear models to do such things as find influential and/or mislabeled examples.\n\n### **Independent Researchers**\n\n**[How to Get Into Independent Alignment Research](https://www.lesswrong.com/posts/P3Yt66Wh5g7SbkKuT/how-to-get-into-independent-research-on-alignment-agency)**\n\n[John Wentworth](https://www.lesswrong.com/users/johnswentworth):\n\n- [Plan](https://www.lesswrong.com/posts/3L46WGauGpr7nYubu/the-plan) - Goal is to formalize our ideas about certain concepts like agency and alignment, so that we can answer questions such as “Is an e-coli bacterium an agent? Does it have a world-model, and if so, what is it? Does it have a utility function, and if so, what is it? Does it have some other kind of ‘goal’?” and “What even are human values?”\n\n- [Selection Theorems](https://www.lesswrong.com/posts/G2Lne2Fi7Qra5Lbuf/selection-theorems-a-program-for-understanding-agents) - “Roughly speaking, a Selection Theorem tells us something about what agent type signatures will be selected for (by e.g. natural selection or ML training or economic profitability) in some broad class of environments.”\n\n - Exemplars include [Coherence Theorems](https://www.lesswrong.com/posts/RQpNHSiWaXTvDxt6R/coherent-decisions-imply-consistent-utilities) and the [Kelly Criterion](https://www.eecs.harvard.edu/cs286r/courses/fall10/papers/Chapter6.pdf) \n \n\n - What data structure represents the agent? What are its inputs and outputs? How does the data structure relate to the environment the agent exists within?\n\n- [Agent-Like Structure Problem](https://www.lesswrong.com/posts/moi3cFY2wpeKGu9TT/clarifying-the-agent-like-structure-problem): Searching for a proof that given a system robustly steers far-away parts of the world into a relatively small chunk of their potential state-space, that this system approaches probability 1 as it gets bigger/stronger/better-at-optimization that it is ‘consequentialist’. [Really, any proof or disproof of this nature regardless of the exact conclusion seems useful, even if it is narrower.]\n\n- [Utility Maximization = Description Length Minimization](https://www.lesswrong.com/posts/voLHQgNncnjjgAPH7/utility-maximization-description-length-minimization): An information theoretic formalization of the notion that “to ‘optimize’ a system is to reduce the number of bits required to represent the system using a particular encoding.” This is essentially equivalent to expected utility maximization.\n\n### **Further Reading**\n\nResearch Approach Overviews\n\n- Nate Soares, exec at MIRI, wrote [On how various plans miss the hard bits of the alignment challenge](https://www.lesswrong.com/posts/3pinFH3jerMzAvmza/on-how-various-plans-miss-the-hard-bits-of-the-alignment) as an informal overview of a number of different approaches to safety and specifically how they do or do not address the specific problem of alignment.\n\n- Larks' yearly [Alignment Literature Review and Charity Comparison](https://www.lesswrong.com/posts/C4tR3BEpuWviT7Sje/2021-ai-alignment-literature-review-and-charity-comparison) contains recent technical research (from 2021 in this post) sorted by organization, with additional fields such as forecasting and AI governance.\n\n- Andrew Critch's [Some AI research areas and their relevance to existential safety](https://www.lesswrong.com/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1) reviews a number of different areas of work relevant to AI safety in general, and then rates them on a number of metrics including apparent relevance to *existential* safety, educational value for a researcher’s career, and neglected ness.\n\n- Evan Hubinger’s [11 Proposals](https://www.alignmentforum.org/posts/fRsjBseRuvRhMPPE5/an-overview-of-11-proposals-for-building-safe-advanced-ai) discusses many suggested approaches (up to 29th May 2020) of building safe advanced AI, albeit these proposals may not be the most relevant until AGI is on the horizon. It considers 4 aspects of each approach: how it solves the *outer alignment problem* (getting the objective function correctly aligned with human values), the *inner alignment problem* (preventing a model from having an internal objective function which is misaligned with the actual objective function), *training competitiveness* (how costly is it to get equal performance as compared to unsafe SOTA?), and *performance competitiveness* (how much of a capabilities cost does the method have?)\n\nAdditional Areas of Work\n\n[A Mechanistic Interpretability Analysis of Grokking](https://www.alignmentforum.org/posts/N6WM6hs7RQMKDhYjB/a-mechanistic-interpretability-analysis-of-grokking) (Neel Nanda) [Interpretability]:\n\nThis post uses the concept of [circuits](https://distill.pub/2020/circuits/), originally developed by OpenAI, to reverse engineer a learned algorithm used to perform generalized modular arithmetic by a neural network. This was also a way to try and tease apart the idea of grokking, where a model’s performance on the test set improves drastically after a significant period after converging on the training set. An important result found that the use of this algorithm within the network smoothly increased over training time, suggesting gradient descent robustly caught on to it, and that it was not just random chance producing this outcome.\n\n[AI safety Needs Great Engineers](https://www.lesswrong.com/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers) (Andy Jones) [Engineering]: **“If you think you could write a substantial pull request for a major machine learning library, then major AI safety labs want to interview you** ***today*****.”** \n\nAI safety has quickly developed an empirical subfield, but to run experiments on even weak AI systems requires significant amounts of custom software. Useful traits include, but are not limited to or required to be:\n\n- experience with distributed systems\n\n- experience with numerical systems\n\n- caring about, and thinking a lot about, about AI safety\n\n- comfortable reading contemporary ML research papers\n\n- expertise in security, infrastructure, data, numerics, social science, or one of a dozen other hard-to-find specialities.\n\nRight now in the field, even prototypes need serious engineering, minimizing the distinction between engineers and researchers; the first two authors on GPT-3 are engineers. If you are potentially interested in skilling up, check out 80,000 hours’ [software engineering guide](https://80000hours.org/career-reviews/software-engineering/). The website also has a [job board](https://jobs.80000hours.org/?refinementList%5Btags_area%5D%5B0%5D=AI%20safety%20%26%20policy), though some of these are for technical research.\n\n```" } }, { @@ -18839,7 +18839,7 @@ }, "Last Asked On Discord": "2023-08-30T08:20:18.094+02:00", "Alternate Phrasings": "", - "Rich Text": "```**Merge suggested with** [Where can I find people to talk to about AI alignment?](/?state=6708&question=Where%20can%20I%20find%20people%20to%20talk%20to%20about%20AI%20alignment%3F)\n\nIf you’re looking for social motivation to help you work on AI safety, consider applying for the [AI Safety Camp](https://aisafety.camp), [AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/), and joining the [AI Safety Slack](https://www.aisafetysupport.org/resources/community-slack), as well as [A*PART](https://apartresearch.com/)’s Discord server and hackathons. You can also check out [aisafety.community](https://aisafety.community/) for a more comprehensive list of joinable communities and [AI Safety Quest](https://aisafety.quest/) to find people to collaborate on projects with.\n\n```" + "Rich Text": "```**Merge suggested with** [Where can I find people to talk to about AI alignment?](/?state=6708&question=Where%20can%20I%20find%20people%20to%20talk%20to%20about%20AI%20alignment%3F)\n\nIf you’re looking for social motivation to help you work on AI safety, consider applying for the [AI safety Camp](https://aisafety.camp), [AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/), and joining the [AI safety Slack](https://www.aisafetysupport.org/resources/community-slack), as well as [A*PART](https://apartresearch.com/)’s Discord server and hackathons. You can also check out [aisafety.community](https://aisafety.community/) for a more comprehensive list of joinable communities and [AI safety Quest](https://aisafety.quest/) to find people to collaborate on projects with.\n\n```" } }, { @@ -18984,13 +18984,13 @@ "id": "i-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", - "name": "What are obfuscated arguments in AI Safety via Debate?", + "name": "What are obfuscated arguments in AI safety via Debate?", "index": 745, "createdAt": "2023-05-10T18:09:25.637Z", "updatedAt": "2023-09-04T19:58:09.732Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", "values": { - "Edit Answer": "**[What are obfuscated arguments in AI Safety via Debate?](https://docs.google.com/document/d/1u0J2OIYc9hIlPQtA9h71pKLOkMA0Dx_OoqPzop1W5TE/edit?usp=drivesdk)**", + "Edit Answer": "**[What are obfuscated arguments in AI safety via Debate?](https://docs.google.com/document/d/1u0J2OIYc9hIlPQtA9h71pKLOkMA0Dx_OoqPzop1W5TE/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -19014,7 +19014,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What are obfuscated arguments in AI Safety via Debate?\n```", + "All Phrasings": "```What are obfuscated arguments in AI safety via Debate?\n```", "UI ID": [ "```97FW```" ], @@ -19488,7 +19488,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```While regulatory capture may motivate some requests for regulation, it is not a plausible motivation for all such requests.\n\nFirst of all, calls for regulation are not only coming from AI corporations, but also from organizations and individuals with no corporate interests. These include institutions like [The Center for AI Safety](https://www.safe.ai/ai-risk), and the [Future of Life Institute](https://futureoflife.org/), as well as academics and other concerned citizens. For example, the over 30,000 signatories of the [call](https://futureoflife.org/open-letter/pause-giant-ai-experiments/) to pause the development of large language models, include professors such as [Yoshua Bengio](https://yoshuabengio.org/), [Stuart Russell](https://www2.eecs.berkeley.edu/Faculty/Homepages/russell.html), and [Yi Zeng](https://www.oxford-aiethics.ox.ac.uk/professor-yi-zeng) as well as many other individuals with no corporate interests.\n\nIn addition the reasons for concern should be judged on their own merit. There are both theoretical and [empirical](https://vkrakovna.wordpress.com/2018/04/02/specification-gaming-examples-in-ai/) reasons for concern about AI. As AIs become more powerful, we need to ensure that they remain safe and reliable. AI regulation can help to address short term concerns like algorithmic biases and privacy, as well as existential risks.\n\nFinally, many of the warnings don’t seem to be explained well by regulatory capture. If your company is on the cutting edge, warning that your own cutting-edge research is an existential risk, is unlikely to harm your competitors more than you.\n\nWhile concern for regulatory capture has a place in determining the details of regulations and could motivate us to include a wider group of people in planning regulations, that concern shouldn’t cause us to reject regulation altogether.\n\n```" + "Rich Text": "```While regulatory capture may motivate some requests for regulation, it is not a plausible motivation for all such requests.\n\nFirst of all, calls for regulation are not only coming from AI corporations, but also from organizations and individuals with no corporate interests. These include institutions like [The Center for AI safety](https://www.safe.ai/ai-risk), and the [Future of Life Institute](https://futureoflife.org/), as well as academics and other concerned citizens. For example, the over 30,000 signatories of the [call](https://futureoflife.org/open-letter/pause-giant-ai-experiments/) to pause the development of large language models, include professors such as [Yoshua Bengio](https://yoshuabengio.org/), [Stuart Russell](https://www2.eecs.berkeley.edu/Faculty/Homepages/russell.html), and [Yi Zeng](https://www.oxford-aiethics.ox.ac.uk/professor-yi-zeng) as well as many other individuals with no corporate interests.\n\nIn addition the reasons for concern should be judged on their own merit. There are both theoretical and [empirical](https://vkrakovna.wordpress.com/2018/04/02/specification-gaming-examples-in-ai/) reasons for concern about AI. As AIs become more powerful, we need to ensure that they remain safe and reliable. AI regulation can help to address short term concerns like algorithmic biases and privacy, as well as existential risks.\n\nFinally, many of the warnings don’t seem to be explained well by regulatory capture. If your company is on the cutting edge, warning that your own cutting-edge research is an existential risk, is unlikely to harm your competitors more than you.\n\nWhile concern for regulatory capture has a place in determining the details of regulations and could motivate us to include a wider group of people in planning regulations, that concern shouldn’t cause us to reject regulation altogether.\n\n```" } }, { @@ -19674,7 +19674,7 @@ }, "Last Asked On Discord": "2023-08-21T08:00:01.962+02:00", "Alternate Phrasings": "```What is the difference between a training distribution, a validation distribution, and a deployed distribution?\nWhy don’t we train AI to not do the wrong thing?\n```", - "Rich Text": "```\n\nThe significant difference in data and how the AI performs in the deployed distribution and the training distribution is considered the “distributional shift”.\n\nWhen an AI is trained on a specific set of data, for example, learning to place strawberries into a bucket, the data could consist of multiple different scenarios of buckets in different positions. This set of scenarios is commonly referred to as the [“training distribution”.](https://www.tutorialspoint.com/distribution-of-test-data-vs-distribution-of-training-data#:~:text=The%20distribution%20of%20training%20data,train%20a%20machine%20learning%20model.)\n\nNow after training, we deploy our cleverly trained AI into the wild to hurl strawberries into buckets and regardless of where the bucket is, the AI supposedly succeeds! The set of scenarios after training, where our AI deals with new data, is called the “deployment distribution”.\n\nBut why is distributional shift such an essential part of the issues with AI Safety, such that it gets a name of its own?\n\nWe often assume that the training distribution is fairly similar to the deployment distribution. This is often fine - if the deployment distribution is (statistically) similar to the training distribution, models will continue to perform well, like they did in training.\n\nThe concept of a “distributional shift” is explained neatly by Rob Miles in [this video](https://www.youtube.com/watch?v=bJLcIBixGj8&t=642s), and if you would like to follow the analogy of the strawberry AI to grasp the same, keep reading.\n\nConsider the situation where the buckets were all red in the training distribution but our deployed AI encounters a blue bucket. Remember, an untrained AI has no idea of what a “bucket” is, or a “strawberry”, or what it even means to “throw”. It learns these definitions through whatever it sees in its training scenarios. So the model might define a bucket to be a "red vaguely cylindrical object, even though in the real world, “red” has no relevance to what a bucket can be. (In other words, it has unintentionally added the color “red” as a must-have property of a bucket alongside “cylindrical” and “hollow”, thereby marking anything that doesn’t satisfy that property as “not a bucket”.)\n\nSimply speaking, if there’s a bright red fire hydrant next to the blue bucket, the former has a larger chance of getting a strawberry chucked at it.\n\nAn AI good at its job would need to learn from a training distribution that features buckets of various colors, heights, radiuses and so on. But even then, we may still not be prepared for everything, especially when it comes to more complex tasks and more possible scenarios in the real world.\n\nWhat would the AI do if it saw a bucket upside down?\n\nIf we were to refine the definition a bit more, the significant difference in data and how the AI performs in the deployed distribution and the training distribution is the “distributional shift”.\n\nWe generally attempt to tackle “distributional shifts” through various different methods. There is often a validation/evaluation/test distribution which we use right after training. This distribution features scenarios not present in the training distribution, to test how well the AI generalizes (how it responds to new unexpected scenarios). Other methods considered to handle the distributional shift are:\n\n- [Adversarial training](https://www.toptal.com/machine-learning/adversarial-machine-learning-tutorial#:~:text=Understanding%20the%20basics-,What%20is%20an%20adversarial%20example%3F,model%20to%20change%20its%20prediction.), the approach of adding malicious examples to the training distribution to minimize the AIs accuracy\n\n- Having highly varied data in the training distribution\n\n- Monitoring the decrease in the performance of AI over the course of training and identifying the reason\n\n- Bringing in other AI that’s learned from an entirely different training distribution for the same task.\n\nThe safety risk posed by “distributional shifts” lands on the shoulders of advanced AIs with goals far beyond placing strawberries into buckets. When we have AIs embedded in military infrastructure, educational systems, healthcare institutions and the like, with immediate impactful consequences, it becomes highly vital that the AI encounters a minimal amount of new data that is costly in performance.\n\n(A worthy aspect to consider is whether we want the training distribution to perfectly resemble the real world, or come pretty close. Since that’s effectively equal to training the AI in the real world, incorrect behaviour that the AI may still be possible of performing and be trained away from might only emerge in the “actual” real world. However, in a training distribution that has a few more unrealistic features, these behaviours might emerge quicker, due to perhaps being more acceptable, and thus we can train them away earlier. Thus, there is a possibility that “distributional shift” in some scenarios may be desired and inevitable.)\n\n```" + "Rich Text": "```\n\nThe significant difference in data and how the AI performs in the deployed distribution and the training distribution is considered the “distributional shift”.\n\nWhen an AI is trained on a specific set of data, for example, learning to place strawberries into a bucket, the data could consist of multiple different scenarios of buckets in different positions. This set of scenarios is commonly referred to as the [“training distribution”.](https://www.tutorialspoint.com/distribution-of-test-data-vs-distribution-of-training-data#:~:text=The%20distribution%20of%20training%20data,train%20a%20machine%20learning%20model.)\n\nNow after training, we deploy our cleverly trained AI into the wild to hurl strawberries into buckets and regardless of where the bucket is, the AI supposedly succeeds! The set of scenarios after training, where our AI deals with new data, is called the “deployment distribution”.\n\nBut why is distributional shift such an essential part of the issues with AI safety, such that it gets a name of its own?\n\nWe often assume that the training distribution is fairly similar to the deployment distribution. This is often fine - if the deployment distribution is (statistically) similar to the training distribution, models will continue to perform well, like they did in training.\n\nThe concept of a “distributional shift” is explained neatly by Rob Miles in [this video](https://www.youtube.com/watch?v=bJLcIBixGj8&t=642s), and if you would like to follow the analogy of the strawberry AI to grasp the same, keep reading.\n\nConsider the situation where the buckets were all red in the training distribution but our deployed AI encounters a blue bucket. Remember, an untrained AI has no idea of what a “bucket” is, or a “strawberry”, or what it even means to “throw”. It learns these definitions through whatever it sees in its training scenarios. So the model might define a bucket to be a "red vaguely cylindrical object, even though in the real world, “red” has no relevance to what a bucket can be. (In other words, it has unintentionally added the color “red” as a must-have property of a bucket alongside “cylindrical” and “hollow”, thereby marking anything that doesn’t satisfy that property as “not a bucket”.)\n\nSimply speaking, if there’s a bright red fire hydrant next to the blue bucket, the former has a larger chance of getting a strawberry chucked at it.\n\nAn AI good at its job would need to learn from a training distribution that features buckets of various colors, heights, radiuses and so on. But even then, we may still not be prepared for everything, especially when it comes to more complex tasks and more possible scenarios in the real world.\n\nWhat would the AI do if it saw a bucket upside down?\n\nIf we were to refine the definition a bit more, the significant difference in data and how the AI performs in the deployed distribution and the training distribution is the “distributional shift”.\n\nWe generally attempt to tackle “distributional shifts” through various different methods. There is often a validation/evaluation/test distribution which we use right after training. This distribution features scenarios not present in the training distribution, to test how well the AI generalizes (how it responds to new unexpected scenarios). Other methods considered to handle the distributional shift are:\n\n- [Adversarial training](https://www.toptal.com/machine-learning/adversarial-machine-learning-tutorial#:~:text=Understanding%20the%20basics-,What%20is%20an%20adversarial%20example%3F,model%20to%20change%20its%20prediction.), the approach of adding malicious examples to the training distribution to minimize the AIs accuracy\n\n- Having highly varied data in the training distribution\n\n- Monitoring the decrease in the performance of AI over the course of training and identifying the reason\n\n- Bringing in other AI that’s learned from an entirely different training distribution for the same task.\n\nThe safety risk posed by “distributional shifts” lands on the shoulders of advanced AIs with goals far beyond placing strawberries into buckets. When we have AIs embedded in military infrastructure, educational systems, healthcare institutions and the like, with immediate impactful consequences, it becomes highly vital that the AI encounters a minimal amount of new data that is costly in performance.\n\n(A worthy aspect to consider is whether we want the training distribution to perfectly resemble the real world, or come pretty close. Since that’s effectively equal to training the AI in the real world, incorrect behaviour that the AI may still be possible of performing and be trained away from might only emerge in the “actual” real world. However, in a training distribution that has a few more unrealistic features, these behaviours might emerge quicker, due to perhaps being more acceptable, and thus we can train them away earlier. Thus, there is a possibility that “distributional shift” in some scenarios may be desired and inevitable.)\n\n```" } }, { @@ -21442,7 +21442,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```Are thought experiments a reasonable way to forecast future AI systems?\nAren't thought experiments a baseless way to reason about future AI systems?\nAren’t thought experiments just science fiction?\nWhy do we use thought experiments to reason about future AI systems?\n```", - "Rich Text": "```\n\nIf you are new to the field, the frequent use of thought experiments as arguments for the need of AI Safety can be off putting. Many of these thought experiments can feel like sci-fi stories, and in a literal sense, they often are. However, there is still value to the use of thought experiments for reasoning about future AI systems, and they were foundational to the field.\n\nOne way to think about the value of thought experiments is to consider other ways to anchor predictions about future AIs. One of the most intuitive ways is to look at the state of current machine learning systems. This can be a great place to start, however it fails to predict [emergent](/?state=89ZZ&question=What%20is%20%22emergence%22%3F) behaviors.\n\nAnother common anchor is to look at intelligence in humans, the most generally intelligent existing systems we are aware of. Understanding aspects of human cognition can be useful for cognitive tasks which could be useful for general reasoning. However, it is [unlikely that AGI will be like humans](https://aisafety.info/?statehttps://docs.google.com/document/d/1vb9hYfREdVqIIBDLbkjawBGE-9UOOmVI3zHJBy2c8cg/edit=6218_), and anthropomorphizing AI systems risks overlooking [a lot of possibilities](/?state=90PV&question=What%20is%20meant%20by%20the%20space%20of%20all%20possible%20minds%3F).\n\nThought experiments provide a different perspective, which can fill in some of the gaps missed by other anchors. A common abstraction in these types of thought experiments is to reason about AI systems as optimizers. This is the basis to many thought experiments, such as the Paperclip Maximizer, [the Strawberry Problem](/?state=9EFC&question=What%20is%20the%20strawberry%20problem%3F), a Superintelligence converting the universe into compute power to calculate pi, or [a Superintelligence tasked with curing cancer](https://aisafety.info/?state=6982_6920r7673r8EL5r6968_6196r89ZQr6218_) killing all humans to reduce the cancer rate to zero. While these examples are very extreme, there are already many [real-world examples](https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vRPiprOaC3HsCf5Tuum8bRfzYUiKLRqJmbOoC-32JorNdfyTiRRsR7Ea5eWtvsWzuxo8bjOxCG84dAg/pubhtml) of [specification gaming](/?state=92J8&question=What%20is%20specification%20gaming%3F).\n\nThought experiments also give rise to the idea of [Instrumental Convergence](https://aisafety.info/?state=897I_3119r5632r6568r9OGZ_8486r6953r2400_9IDQ-9TDI-8TJV-), the idea that there are certain instrumental goals which are useful in achieving almost any other objective. The instrumental value of self-preservation is the reason behind skepticism about our ability to [just turn off](/?state=6988&question=Once%20we%20notice%20that%20a%20superintelligence%20is%20trying%20to%20take%20over%20the%20world%2C%20can%E2%80%99t%20we%20turn%20it%20off%2C%20or%20reprogram%20it%3F) a sufficiently advanced system behaving undesirably. Another potential instrumental goal is goal-content integrity. This raises the concern of [deceptive alignment](/?state=8EL6&question=What%20is%20deceptive%20alignment%3F) or a “[treacherous turn](/?state=9AKZ&question=What%20is%20a%20%E2%80%9Ctreacherous%20turn%E2%80%9D%3F).” While we are yet to have systems that advanced, there are examples of large language models engaging in deceptive behavior to get what they want. It is reasonable to suspect that deception can run even deeper as models continue to advance.\n\nOne of the key limitations of thought experiments is that they are generally not useful for actually solving the problems they propose. Details of a thought experiment are often designed to tell a compelling narrative, they are not actual attempts at predicting precisely how the future will play out. But when it comes time to actually engineer the solutions to these problems, the details matter.\n\nHowever, at the end of the day, anchors for forecasting AI are not mutually exclusive. As AI capabilities continue to progress, work can be done to connect ideas generated in these thought experiments to real world systems. For example, there is already concrete work being done in formalizing the idea the advanced AI systems would instrumentally [seek power](/?state=92JB&question=What%20are%20the%20power-seeking%20theorems%3F). \n\n```" + "Rich Text": "```\n\nIf you are new to the field, the frequent use of thought experiments as arguments for the need of AI safety can be off putting. Many of these thought experiments can feel like sci-fi stories, and in a literal sense, they often are. However, there is still value to the use of thought experiments for reasoning about future AI systems, and they were foundational to the field.\n\nOne way to think about the value of thought experiments is to consider other ways to anchor predictions about future AIs. One of the most intuitive ways is to look at the state of current machine learning systems. This can be a great place to start, however it fails to predict [emergent](/?state=89ZZ&question=What%20is%20%22emergence%22%3F) behaviors.\n\nAnother common anchor is to look at intelligence in humans, the most generally intelligent existing systems we are aware of. Understanding aspects of human cognition can be useful for cognitive tasks which could be useful for general reasoning. However, it is [unlikely that AGI will be like humans](https://aisafety.info/?statehttps://docs.google.com/document/d/1vb9hYfREdVqIIBDLbkjawBGE-9UOOmVI3zHJBy2c8cg/edit=6218_), and anthropomorphizing AI systems risks overlooking [a lot of possibilities](/?state=90PV&question=What%20is%20meant%20by%20the%20space%20of%20all%20possible%20minds%3F).\n\nThought experiments provide a different perspective, which can fill in some of the gaps missed by other anchors. A common abstraction in these types of thought experiments is to reason about AI systems as optimizers. This is the basis to many thought experiments, such as the Paperclip Maximizer, [the Strawberry Problem](/?state=9EFC&question=What%20is%20the%20strawberry%20problem%3F), a Superintelligence converting the universe into compute power to calculate pi, or [a Superintelligence tasked with curing cancer](https://aisafety.info/?state=6982_6920r7673r8EL5r6968_6196r89ZQr6218_) killing all humans to reduce the cancer rate to zero. While these examples are very extreme, there are already many [real-world examples](https://docs.google.com/spreadsheets/u/1/d/e/2PACX-1vRPiprOaC3HsCf5Tuum8bRfzYUiKLRqJmbOoC-32JorNdfyTiRRsR7Ea5eWtvsWzuxo8bjOxCG84dAg/pubhtml) of [specification gaming](/?state=92J8&question=What%20is%20specification%20gaming%3F).\n\nThought experiments also give rise to the idea of [Instrumental Convergence](https://aisafety.info/?state=897I_3119r5632r6568r9OGZ_8486r6953r2400_9IDQ-9TDI-8TJV-), the idea that there are certain instrumental goals which are useful in achieving almost any other objective. The instrumental value of self-preservation is the reason behind skepticism about our ability to [just turn off](/?state=6988&question=Once%20we%20notice%20that%20a%20superintelligence%20is%20trying%20to%20take%20over%20the%20world%2C%20can%E2%80%99t%20we%20turn%20it%20off%2C%20or%20reprogram%20it%3F) a sufficiently advanced system behaving undesirably. Another potential instrumental goal is goal-content integrity. This raises the concern of [deceptive alignment](/?state=8EL6&question=What%20is%20deceptive%20alignment%3F) or a “[treacherous turn](/?state=9AKZ&question=What%20is%20a%20%E2%80%9Ctreacherous%20turn%E2%80%9D%3F).” While we are yet to have systems that advanced, there are examples of large language models engaging in deceptive behavior to get what they want. It is reasonable to suspect that deception can run even deeper as models continue to advance.\n\nOne of the key limitations of thought experiments is that they are generally not useful for actually solving the problems they propose. Details of a thought experiment are often designed to tell a compelling narrative, they are not actual attempts at predicting precisely how the future will play out. But when it comes time to actually engineer the solutions to these problems, the details matter.\n\nHowever, at the end of the day, anchors for forecasting AI are not mutually exclusive. As AI capabilities continue to progress, work can be done to connect ideas generated in these thought experiments to real world systems. For example, there is already concrete work being done in formalizing the idea the advanced AI systems would instrumentally [seek power](/?state=92JB&question=What%20are%20the%20power-seeking%20theorems%3F). \n\n```" } }, { @@ -21490,7 +21490,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```Is AI alignment possible?\n```", - "Rich Text": "```\n\n### \n![](https://imagedelivery.net/iSzP-DWqFIthoMIqTB4Xog/8b5f5b0c-7acb-4dac-e5be-c64d09a8a200/public)\n\n**Already Done**: **Alignment by defau****lt**.\n\nAccording to this perspective, no interventions will be needed AI systems will align to human interests (or else not be seriously dangerous) by [default](https://www.alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default), with no interventions needed.\n\n**Doable**: **Current alignment techniques will scale**.\n\nThis is the perspective that current techniques such as [RLHF](/?state=88FN&question=What%20is%20reinforcement%20learning%20from%20human%20feedback%20(RLHF)%3F) and [Constitutional AI](/?state=904J&question=What%20is%20%22Constitutional%20AI%22%3F) will scale, with no new techniques needed.\n\n**Challenging**: **Oversight needed**.\n\nFine-tuning a models’ behavior via RLHF or Constitutional AI is not enough. Human supervision is needed to ensure alignment, or else we need [special AI assistance](https://ai-alignment.com/eliciting-latent-knowledge-f977478608fc) to help do oversight for us, either by amplifying specialized data to simulate a human overseer, automating red teaming, or better [understanding the model](https://openai.com/research/debate).\n\n**Difficult**: **Advanced interpretability needed**.\n\nCurrent forms of interpretability are limited, and usually are unable to make predictions about what a larger model can or can’t do, with some thinking the methods [don’t hold much promise](https://www.alignmentforum.org/posts/LNA8mubrByG7SFacm/against-almost-every-theory-of-impact-of-interpretability-1). C-Tier is the perception that oversight via AI and current interpretability is not enough, and we will need far more advanced forms of mechanistic interpretability to ensure the models are safe.\n\n**Very Difficult**: **Pre-deployment experiments needed**.\n\nIt is not enough to understand how the AI systems work, potentially dangerous experiments need to be run pre-deployment to test for how they will generalize.\n\n**Extremely Difficult**: **Sharp left turn**.\n\nThere will be a “[sharp left turn](https://www.alignmentforum.org/posts/usKXS5jGDzjwqv3FJ/refining-the-sharp-left-turn-threat-model-part-1-claims-and)” that will make any form of experiment or other technique useless once the AI reaches a certain level of intelligence. [Advanced theoretical research](https://www.lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities) is needed, or else an entirely [new paradigm](https://www.alignmentforum.org/posts/ngEvKav9w57XrGQnb/cognitive-emulation-a-naive-ai-safety-proposal) for how AIs function must be created.\n\n**Impossible**: **Alignment is impossible**.\n\nAny attempt at aligning an AI will not scale to superintelligence. And any solution is either theoretically impossible or not humanly achievable. All research must be banned, and focus instead directed toward improving human intelligence and coordination technology.\n\nChris Olah’s original categories were “Easy”, “Intermediate”, and “Pessimistic” scenarios, where “Easy” mentioned methods such as RLHF and CAI. “Intermediate” estimates that dangerous outcomes are possible, but is achievable with enough researchers. “Pessimistic” that safe outcomes are not feasible with current rates of progress, even with sufficient numbers working on it. Anthropic’s original piece was similar, except it categorized Pessimistic as alignment being fundamentally unsolvable, placing strategies that would need significant amounts of time under “near pessimistic”.\n\n### Further reading:\n\n- [Anthropic \\ Core Views on AI Safety: When, Why, What, and How](https://www.anthropic.com/index/core-views-on-ai-safety)\n\n```" + "Rich Text": "```\n\n### \n![](https://imagedelivery.net/iSzP-DWqFIthoMIqTB4Xog/8b5f5b0c-7acb-4dac-e5be-c64d09a8a200/public)\n\n**Already Done**: **Alignment by defau****lt**.\n\nAccording to this perspective, no interventions will be needed AI systems will align to human interests (or else not be seriously dangerous) by [default](https://www.alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default), with no interventions needed.\n\n**Doable**: **Current alignment techniques will scale**.\n\nThis is the perspective that current techniques such as [RLHF](/?state=88FN&question=What%20is%20reinforcement%20learning%20from%20human%20feedback%20(RLHF)%3F) and [Constitutional AI](/?state=904J&question=What%20is%20%22Constitutional%20AI%22%3F) will scale, with no new techniques needed.\n\n**Challenging**: **Oversight needed**.\n\nFine-tuning a models’ behavior via RLHF or Constitutional AI is not enough. Human supervision is needed to ensure alignment, or else we need [special AI assistance](https://ai-alignment.com/eliciting-latent-knowledge-f977478608fc) to help do oversight for us, either by amplifying specialized data to simulate a human overseer, automating red teaming, or better [understanding the model](https://openai.com/research/debate).\n\n**Difficult**: **Advanced interpretability needed**.\n\nCurrent forms of interpretability are limited, and usually are unable to make predictions about what a larger model can or can’t do, with some thinking the methods [don’t hold much promise](https://www.alignmentforum.org/posts/LNA8mubrByG7SFacm/against-almost-every-theory-of-impact-of-interpretability-1). C-Tier is the perception that oversight via AI and current interpretability is not enough, and we will need far more advanced forms of mechanistic interpretability to ensure the models are safe.\n\n**Very Difficult**: **Pre-deployment experiments needed**.\n\nIt is not enough to understand how the AI systems work, potentially dangerous experiments need to be run pre-deployment to test for how they will generalize.\n\n**Extremely Difficult**: **Sharp left turn**.\n\nThere will be a “[sharp left turn](https://www.alignmentforum.org/posts/usKXS5jGDzjwqv3FJ/refining-the-sharp-left-turn-threat-model-part-1-claims-and)” that will make any form of experiment or other technique useless once the AI reaches a certain level of intelligence. [Advanced theoretical research](https://www.lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities) is needed, or else an entirely [new paradigm](https://www.alignmentforum.org/posts/ngEvKav9w57XrGQnb/cognitive-emulation-a-naive-ai-safety-proposal) for how AIs function must be created.\n\n**Impossible**: **Alignment is impossible**.\n\nAny attempt at aligning an AI will not scale to superintelligence. And any solution is either theoretically impossible or not humanly achievable. All research must be banned, and focus instead directed toward improving human intelligence and coordination technology.\n\nChris Olah’s original categories were “Easy”, “Intermediate”, and “Pessimistic” scenarios, where “Easy” mentioned methods such as RLHF and CAI. “Intermediate” estimates that dangerous outcomes are possible, but is achievable with enough researchers. “Pessimistic” that safe outcomes are not feasible with current rates of progress, even with sufficient numbers working on it. Anthropic’s original piece was similar, except it categorized Pessimistic as alignment being fundamentally unsolvable, placing strategies that would need significant amounts of time under “near pessimistic”.\n\n### Further reading:\n\n- [Anthropic \\ Core Views on AI safety: When, Why, What, and How](https://www.anthropic.com/index/core-views-on-ai-safety)\n\n```" } }, { @@ -22465,7 +22465,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```\n\nReward hacking occurs when an AI agent finds ways to exploit loopholes or shortcuts in its environment to maximize its reward without actually achieving the intended goal envisioned by the developers.\n\n[Specification gaming](https://www.deepmind.com/blog/specification-gaming-the-flip-side-of-ai-ingenuity) is the general framing for the problem when an AI system finds a way to achieve the objective in an unintended way. Specification gaming can happen in many kinds of ML models. Reward hacking is a specific occurrence of a specification gaming failure in RL systems that function on reward based mechanisms.\n\nReward hacking can manifest in a myriad of ways. For instance, in the context of game-playing agents, it might involve exploiting software glitches or bugs to directly manipulate the score or gain high rewards through unintended means.\n\nFor example, one agent in the [Coast Runners game](https://openai.com/blog/faulty-reward-functions/) was trained with the aim of winning the race. In order to do this training, it was rewarded when it scored points, which the game specifies are given when a boat gets items (such as the green blocks in the animation below) or accomplishes other actions that presumably help it win the race. This rewarding of intermediate steps to avoid the problem of sparse rewards is called [reward shaping](https://link.springer.com/referenceworkentry/10.1007/978-0-387-30164-8_731). While the agent was given these intermediate rewards, the overall intended goal was to finish the race as quickly as possible. However, the agent discovered that continuously rotating a ship in a circle to accumulate points indefinitely optimized its reward, even though it did not help it win the race.\n\n![](https://imagedelivery.net/iSzP-DWqFIthoMIqTB4Xog/d84f0e08-395c-4248-99af-b5cc91a66d00/public)\n\nSource: Amodei & Clark (2016) “[Faulty reward functions in the wild](https://openai.com/research/faulty-reward-functions)"\n\nIn cases where the reward function misaligns with the desired objective, reward hacking can emerge. This can lead the agent to optimize a proxy reward, deviating from the true underlying goal, thereby yielding behavior contrary to the designers' intentions. An example can be seen in a cleaning robot scenario: if the reward function focuses on reducing mess, the robot might artificially create a mess to clean up, thereby collecting rewards, instead of effectively cleaning the environment.\n\nReward hacking presents significant challenges to AI safety and alignment due to the potential for unintended and potentially harmful behavior. An example of catastrophic risk arising from maximizing a proxy can be seen in the [“Whimper” failure mode](https://www.alignmentforum.org/posts/HBxe6wdjxK239zajf/what-failure-looks-like) outlined by Paul Christiano. Combating reward hacking is an active research area in AI safety and alignment.\n\n```" + "Rich Text": "```\n\nReward hacking occurs when an AI agent finds ways to exploit loopholes or shortcuts in its environment to maximize its reward without actually achieving the intended goal envisioned by the developers.\n\n[Specification gaming](https://www.deepmind.com/blog/specification-gaming-the-flip-side-of-ai-ingenuity) is the general framing for the problem when an AI system finds a way to achieve the objective in an unintended way. Specification gaming can happen in many kinds of ML models. Reward hacking is a specific occurrence of a specification gaming failure in RL systems that function on reward based mechanisms.\n\nReward hacking can manifest in a myriad of ways. For instance, in the context of game-playing agents, it might involve exploiting software glitches or bugs to directly manipulate the score or gain high rewards through unintended means.\n\nFor example, one agent in the [Coast Runners game](https://openai.com/blog/faulty-reward-functions/) was trained with the aim of winning the race. In order to do this training, it was rewarded when it scored points, which the game specifies are given when a boat gets items (such as the green blocks in the animation below) or accomplishes other actions that presumably help it win the race. This rewarding of intermediate steps to avoid the problem of sparse rewards is called [reward shaping](https://link.springer.com/referenceworkentry/10.1007/978-0-387-30164-8_731). While the agent was given these intermediate rewards, the overall intended goal was to finish the race as quickly as possible. However, the agent discovered that continuously rotating a ship in a circle to accumulate points indefinitely optimized its reward, even though it did not help it win the race.\n\n![](https://imagedelivery.net/iSzP-DWqFIthoMIqTB4Xog/d84f0e08-395c-4248-99af-b5cc91a66d00/public)\n\nSource: Amodei & Clark (2016) “[Faulty reward functions in the wild](https://openai.com/research/faulty-reward-functions)"\n\nIn cases where the reward function misaligns with the desired objective, reward hacking can emerge. This can lead the agent to optimize a proxy reward, deviating from the true underlying goal, thereby yielding behavior contrary to the designers' intentions. An example can be seen in a cleaning robot scenario: if the reward function focuses on reducing mess, the robot might artificially create a mess to clean up, thereby collecting rewards, instead of effectively cleaning the environment.\n\nReward hacking presents significant challenges to AI safety and alignment due to the potential for unintended and potentially harmful behavior. An example of catastrophic risk arising from maximizing a proxy can be seen in the [“Whimper” failure mode](https://www.alignmentforum.org/posts/HBxe6wdjxK239zajf/what-failure-looks-like) outlined by Paul Christiano. Combating reward hacking is an active research area in AI safety and alignment.\n\n```" } }, { @@ -24342,7 +24342,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "tableId": "grid-sync-1059-File", "rowId": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", @@ -24380,7 +24380,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```- [Rob Miles AI Safety](https://www.youtube.com/c/RobertMilesAI/videos) on YouTube (and his [Computerphile appearances](https://www.youtube.com/watch?v=tlS5Y2vm02c&list=PLqL14ZxTTA4fRMts7Af2G8t4Rp17e8MdS&index=4))\n\n- The [AI Safety Papers database](https://ai-safety-papers.quantifieduncertainty.org/) — Search and interface for the [TAI Safety Bibliography](https://www.alignmentforum.org/posts/4DegbDJJiMX2b3EKm/tai-safety-bibliographic-database)\n\n- The free, online [AI Safety Fundamentals Course](https://www.eacambridge.org/agi-safety-fundamentals)\n\n- [Alignment Forum](https://www.alignmentforum.org/tags/) tags\n\n- [The Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) (and [database sheet](https://docs.google.com/spreadsheets/d/1PwWbWZ6FPqAgZWOoOcXM8N_tUCuxpEyMbN1NYYC02aM/edit#gid=0))\n\n- Chapters of [Bostrom's Superintelligence online](https://publicism.info/philosophy/superintelligence/) — [Initial paper which Superintelligence grew from](https://www.nickbostrom.com/views/superintelligence.pdf)\n\n- [AI Alignment pages on Arbital](https://arbital.greaterwrong.com/explore/ai_alignment/)\n\n- [Vika's resources list](https://vkrakovna.wordpress.com/ai-safety-resources/)\n\n- [AI safety technical courses, reading lists, and curriculums](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0)\n\n- [AI Safety Intro blog](https://aisafety.wordpress.com/)\n\n- [Other answers on Stampy’s AI Safety Infour accepted answers list](https://coda.io/d/AI-Safety-Info-Dashboard_dfau7sl2hmG/All-on-site-answers_sueMP#All-on-site-answers_tu0M7/r265) — This includes updated versions of various FAQs imported with permission:\n\n - [Scott Alexander's Superintelligence FAQ](https://www.lesswrong.com/posts/LTtNXM9shNM9AC2mp/superintelligence-faq)\n\n - [FLI's FAQ](https://futureoflife.org/ai-faqs/)\n\n - [MIRI's FAQ](https://intelligence.org/faq/)\n\n - [MIRI's Intelligence Explosion FAQ](https://intelligence.org/ie-faq/)\n\n - [Advice for AI Alignment Researchers](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/)\n\n - [r/ControlProblem's FAQ](https://www.reddit.com/r/ControlProblem/wiki/faq)\n\n - [Mark Xu's FAQ](https://markxu.com/ai-safety-faqs)\n\n - [AI safety blog](https://aisafety.wordpress.com/) — Not yet imported.\n\n```" + "Rich Text": "```- [Rob Miles AI safety](https://www.youtube.com/c/RobertMilesAI/videos) on YouTube (and his [Computerphile appearances](https://www.youtube.com/watch?v=tlS5Y2vm02c&list=PLqL14ZxTTA4fRMts7Af2G8t4Rp17e8MdS&index=4))\n\n- The [AI safety Papers database](https://ai-safety-papers.quantifieduncertainty.org/) — Search and interface for the [TAI safety Bibliography](https://www.alignmentforum.org/posts/4DegbDJJiMX2b3EKm/tai-safety-bibliographic-database)\n\n- The free, online [AI safety Fundamentals Course](https://www.eacambridge.org/agi-safety-fundamentals)\n\n- [Alignment Forum](https://www.alignmentforum.org/tags/) tags\n\n- [The Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) (and [database sheet](https://docs.google.com/spreadsheets/d/1PwWbWZ6FPqAgZWOoOcXM8N_tUCuxpEyMbN1NYYC02aM/edit#gid=0))\n\n- Chapters of [Bostrom's Superintelligence online](https://publicism.info/philosophy/superintelligence/) — [Initial paper which Superintelligence grew from](https://www.nickbostrom.com/views/superintelligence.pdf)\n\n- [AI Alignment pages on Arbital](https://arbital.greaterwrong.com/explore/ai_alignment/)\n\n- [Vika's resources list](https://vkrakovna.wordpress.com/ai-safety-resources/)\n\n- [AI safety technical courses, reading lists, and curriculums](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0)\n\n- [AI safety Intro blog](https://aisafety.wordpress.com/)\n\n- [Other answers on Stampy’s AI safety Infour accepted answers list](https://coda.io/d/AI-Safety-Info-Dashboard_dfau7sl2hmG/All-on-site-answers_sueMP#All-on-site-answers_tu0M7/r265) — This includes updated versions of various FAQs imported with permission:\n\n - [Scott Alexander's Superintelligence FAQ](https://www.lesswrong.com/posts/LTtNXM9shNM9AC2mp/superintelligence-faq)\n\n - [FLI's FAQ](https://futureoflife.org/ai-faqs/)\n\n - [MIRI's FAQ](https://intelligence.org/faq/)\n\n - [MIRI's Intelligence Explosion FAQ](https://intelligence.org/ie-faq/)\n\n - [Advice for AI Alignment Researchers](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/)\n\n - [r/ControlProblem's FAQ](https://www.reddit.com/r/ControlProblem/wiki/faq)\n\n - [Mark Xu's FAQ](https://markxu.com/ai-safety-faqs)\n\n - [AI safety blog](https://aisafety.wordpress.com/) — Not yet imported.\n\n```" } }, { @@ -24440,7 +24440,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "tableId": "grid-sync-1059-File", "rowId": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", @@ -24488,7 +24488,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Podcasts with many episodes on AI alignment or AI safety:\n\n- [AI episodes](https://80000hours.org/topic/world-problems/most-pressing-problems/artificial-intelligence/?content-type=podcast) of the [80,000 Hours Podcast](https://80000hours.org/podcast/), hosted by Rob Wiblin\n\n- [Future of Life Institute Podcast](https://futureoflife.org/project/future-of-life-institute-podcast/), hosted by Gus Docker\n\n- [AI X-risk Research Podcast](https://axrp.net/), hosted by Daniel Filan\n\n- [AI Safety Fundamentals: Alignment](https://pod.link/1680794263), [AI Safety Fundamentals: Governance](https://pod.link/1687830086), [AI Safety Fundamentals: Alignment 201](https://pod.link/1687829987)\n\n- [The Inside View,](http://theinsideview.ai/) hosted by Michaël Trazzi\n\n- [Cold Takes Audio](https://pod.link/1580097837), narrated by Holden Karnofsky (audio versions of [Cold Takes](https://www.cold-takes.com/), a blog by Holden Karnofsky)\n\n- [AI-Generated Audio for Planned Obsolescence](https://pod.link/1679435793), narrated by AI (audio versions of [Planned Obsolescence](https://www.planned-obsolescence.org/), a blog by Ajeya Cotra and Kelsey Piper)\n\n- [The Nonlinear Library: Alignment Forum](https://pod.link/1611393245), narrated by AI (audio versions of top [Alignment Forum](https://www.alignmentforum.org/) posts by various authors)\n\n- [Alignment Newsletter Podcast](https://pod.link/1489248000), narrated by Robert Miles (audio versions of the [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/), a newsletter by Rohin Shah)\n\n- [The AGI Show](https://www.theagishow.com/), hosted by Soroush Pour\n\nPodcasts where a smaller number of episodes cover AI safety:\n\n- [Dwarkesh Podcast](https://www.dwarkeshpatel.com/podcast), hosted by Dwarkesh Patel\n\n- [Clearer Thinking](https://podcast.clearerthinking.org/), hosted by Spencer Greenberg\n\n- [The Cognitive Revolution](https://www.cognitiverevolution.ai/), hosted by Erik Torenberg and Nathan Labenz\n\n- [Hear This Idea](https://hearthisidea.com/episodes/), hosted by Fin Moorhouse and Luca Righetti\n\n- [LessWrong Curated Podcast](https://pod.link/1630783021), narrated by Solenoid Entity (audio versions of [LessWrong’s curated posts](https://www.lesswrong.com/recommendations) by various authors)\n\n- [Astral Codex Ten Podcast](https://pod.link/1295289140), narrated by Solenoid Entity (audio versions of [Astral Codex Ten](https://astralcodexten.substack.com/), a blog by Scott Alexander)\n\n- [Towards Data Science](https://towardsdatascience.com/podcast/home), hosted by Jeremie Harris\n\n```" + "Rich Text": "```Podcasts with many episodes on AI alignment or AI safety:\n\n- [AI episodes](https://80000hours.org/topic/world-problems/most-pressing-problems/artificial-intelligence/?content-type=podcast) of the [80,000 Hours Podcast](https://80000hours.org/podcast/), hosted by Rob Wiblin\n\n- [Future of Life Institute Podcast](https://futureoflife.org/project/future-of-life-institute-podcast/), hosted by Gus Docker\n\n- [AI X-risk Research Podcast](https://axrp.net/), hosted by Daniel Filan\n\n- [AI safety Fundamentals: Alignment](https://pod.link/1680794263), [AI safety Fundamentals: Governance](https://pod.link/1687830086), [AI safety Fundamentals: Alignment 201](https://pod.link/1687829987)\n\n- [The Inside View,](http://theinsideview.ai/) hosted by Michaël Trazzi\n\n- [Cold Takes Audio](https://pod.link/1580097837), narrated by Holden Karnofsky (audio versions of [Cold Takes](https://www.cold-takes.com/), a blog by Holden Karnofsky)\n\n- [AI-Generated Audio for Planned Obsolescence](https://pod.link/1679435793), narrated by AI (audio versions of [Planned Obsolescence](https://www.planned-obsolescence.org/), a blog by Ajeya Cotra and Kelsey Piper)\n\n- [The Nonlinear Library: Alignment Forum](https://pod.link/1611393245), narrated by AI (audio versions of top [Alignment Forum](https://www.alignmentforum.org/) posts by various authors)\n\n- [Alignment Newsletter Podcast](https://pod.link/1489248000), narrated by Robert Miles (audio versions of the [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/), a newsletter by Rohin Shah)\n\n- [The AGI Show](https://www.theagishow.com/), hosted by Soroush Pour\n\nPodcasts where a smaller number of episodes cover AI safety:\n\n- [Dwarkesh Podcast](https://www.dwarkeshpatel.com/podcast), hosted by Dwarkesh Patel\n\n- [Clearer Thinking](https://podcast.clearerthinking.org/), hosted by Spencer Greenberg\n\n- [The Cognitive Revolution](https://www.cognitiverevolution.ai/), hosted by Erik Torenberg and Nathan Labenz\n\n- [Hear This Idea](https://hearthisidea.com/episodes/), hosted by Fin Moorhouse and Luca Righetti\n\n- [LessWrong Curated Podcast](https://pod.link/1630783021), narrated by Solenoid Entity (audio versions of [LessWrong’s curated posts](https://www.lesswrong.com/recommendations) by various authors)\n\n- [Astral Codex Ten Podcast](https://pod.link/1295289140), narrated by Solenoid Entity (audio versions of [Astral Codex Ten](https://astralcodexten.substack.com/), a blog by Scott Alexander)\n\n- [Towards Data Science](https://towardsdatascience.com/podcast/home), hosted by Jeremie Harris\n\n```" } }, { @@ -24568,7 +24568,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "tableId": "grid-sync-1059-File", "rowId": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", @@ -25766,7 +25766,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```There are two different reasons you might be looking for a five minute contribution.\n\n1. You are only willing to spend five minutes total\n\n1. You want a simple call to action which will concretize your commitment. You are looking for a small action which will modify your environment so that you’re more likely to get involved.\n\nIf you only want to spend five minutes total, you could:\n\n- Share an article with a friend, so that they can learn more. One possible choice is [the 80,000 Hours career profile](https://80000hours.org/problem-profiles/artificial-intelligence/)\n\n- [Share an article](/?state=8509&question=What%20links%20are%20especially%20valuable%20to%20share%20on%20social%20media%20or%20other%20contexts%3F) on social media – you never know who may be interested\n\n- Talk to your friends and family about it\n\n- Donate to an organization working on AI safety\n\n- [Email your local politician](https://www.campaignforaisafety.org/politician/) about policies to reduce AI existential risk. \n \n\nIf you are looking for a small action which will get things moving, you could:\n\n- Order a book – we recommend [The Alignment Problem](https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393868338)\n\n- Sign up for a navigation call with [AI Safety Quest](https://aisafety.quest/)\n\n- Sign up for a [newsletter](https://newsletter.safe.ai/)\n\n```" + "Rich Text": "```There are two different reasons you might be looking for a five minute contribution.\n\n1. You are only willing to spend five minutes total\n\n1. You want a simple call to action which will concretize your commitment. You are looking for a small action which will modify your environment so that you’re more likely to get involved.\n\nIf you only want to spend five minutes total, you could:\n\n- Share an article with a friend, so that they can learn more. One possible choice is [the 80,000 Hours career profile](https://80000hours.org/problem-profiles/artificial-intelligence/)\n\n- [Share an article](/?state=8509&question=What%20links%20are%20especially%20valuable%20to%20share%20on%20social%20media%20or%20other%20contexts%3F) on social media – you never know who may be interested\n\n- Talk to your friends and family about it\n\n- Donate to an organization working on AI safety\n\n- [Email your local politician](https://www.campaignforaisafety.org/politician/) about policies to reduce AI existential risk. \n \n\nIf you are looking for a small action which will get things moving, you could:\n\n- Order a book – we recommend [The Alignment Problem](https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393868338)\n\n- Sign up for a navigation call with [AI safety Quest](https://aisafety.quest/)\n\n- Sign up for a [newsletter](https://newsletter.safe.ai/)\n\n```" } }, { @@ -26278,7 +26278,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```The [AGI Safety Fundamentals Course](https://www.eacambridge.org/technical-alignment-curriculum) is arguably the best way to get up to speed on alignment; you can apply to go through it with many other people studying and mentorship, but note that they reject many applicants. You can also read their materials independently, ideally after finding a group of others to take the course together with.\n\nOther great ways to explore include:\n\n- [AXRP](https://axrp.net/) is a podcast with high quality interviews with top alignment researchers.\n\n- The [AI Safety Papers database](https://ai-safety-papers.quantifieduncertainty.org/) is a search and browsing interface for most of the transformative AI literature.\n\n- Reading posts on the [Alignment Forum](https://www.alignmentforum.org/) can be valuable (see their [curated posts](https://www.alignmentforum.org/library) and [tags](https://www.alignmentforum.org/tag/ai)).\n\n- Taking a deep dive into Yudkowsky's models of the challenges to aligned AI, via the [Arbital Alignment pages](https://arbital.greaterwrong.com/explore/ai_alignment/).\n\n- Reading through some of the archives for the [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) for an overview of past developments (or listening to [the podcast](https://alignment-newsletter.libsyn.com/)).\n\n- Reading some of [the introductory books](/?state=5635&question=Where%20can%20I%20learn%20more%20about%20AI%20alignment%3F).\n\n- More on [AI Safety Support's list of links](https://www.aisafetysupport.org/resources/lots-of-links#h.6s2gcz1p5l6z), [Nonlinear's list of technical courses, reading lists, and curriculums](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0), [other answers on Stampy’s AI Safety Info](http://aisafety.info), and [Vika's resources list](https://vkrakovna.wordpress.com/ai-safety-resources/).\n\nYou might also consider reading [Rationality: A-Z,](https://www.lesswrong.com/rationality) which covers skills that are valuable to acquire for people trying to think about large and complex issues. [The Rationalist's Guide to the Galaxy](https://www.amazon.co.uk/Does-Not-Hate-You-Superintelligence/dp/1474608795) is a shorter and more accessible AI-focused option.\n\n```" + "Rich Text": "```The [AGI Safety Fundamentals Course](https://www.eacambridge.org/technical-alignment-curriculum) is arguably the best way to get up to speed on alignment; you can apply to go through it with many other people studying and mentorship, but note that they reject many applicants. You can also read their materials independently, ideally after finding a group of others to take the course together with.\n\nOther great ways to explore include:\n\n- [AXRP](https://axrp.net/) is a podcast with high quality interviews with top alignment researchers.\n\n- The [AI safety Papers database](https://ai-safety-papers.quantifieduncertainty.org/) is a search and browsing interface for most of the transformative AI literature.\n\n- Reading posts on the [Alignment Forum](https://www.alignmentforum.org/) can be valuable (see their [curated posts](https://www.alignmentforum.org/library) and [tags](https://www.alignmentforum.org/tag/ai)).\n\n- Taking a deep dive into Yudkowsky's models of the challenges to aligned AI, via the [Arbital Alignment pages](https://arbital.greaterwrong.com/explore/ai_alignment/).\n\n- Reading through some of the archives for the [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) for an overview of past developments (or listening to [the podcast](https://alignment-newsletter.libsyn.com/)).\n\n- Reading some of [the introductory books](/?state=5635&question=Where%20can%20I%20learn%20more%20about%20AI%20alignment%3F).\n\n- More on [AI safety Support's list of links](https://www.aisafetysupport.org/resources/lots-of-links#h.6s2gcz1p5l6z), [Nonlinear's list of technical courses, reading lists, and curriculums](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0), [other answers on Stampy’s AI safety Info](http://aisafety.info), and [Vika's resources list](https://vkrakovna.wordpress.com/ai-safety-resources/).\n\nYou might also consider reading [Rationality: A-Z,](https://www.lesswrong.com/rationality) which covers skills that are valuable to acquire for people trying to think about large and complex issues. [The Rationalist's Guide to the Galaxy](https://www.amazon.co.uk/Does-Not-Hate-You-Superintelligence/dp/1474608795) is a shorter and more accessible AI-focused option.\n\n```" } }, { @@ -28030,7 +28030,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```See the [Future Funding List](https://www.futurefundinglist.com/) and the funding forest[^kix.s0ofridy8s23] on [aisafety.world](https://aisafety.world/) for up to date information!\n\nThe organizations that most regularly give grants to individuals working towards AI alignment are the [Long Term Future Fund](https://funds.effectivealtruism.org/funds/far-future), [Survival And Flourishing](http://survivalandflourishing.org/), the [OpenPhil AI Fellowship](https://www.openphilanthropy.org/focus/global-catastrophic-risks/potential-risks-advanced-artificial-intelligence/the-open-phil-ai-fellowship) and [early career funding](https://www.openphilanthropy.org/focus/other-areas/early-career-funding-individuals-interested-improving-long-term-future), the [Future of Life Institute](https://grants.futureoflife.org/), the [Future of Humanity Institute](https://www.fhi.ox.ac.uk/aia-fellowship/), and [the Center on Long-Term Risk Fund](https://longtermrisk.org/grantmaking/). The [Nonlinear Network](https://nonlinearnetwork.org/) will let you apply for grants to do projects related to AI safety and reach many different funders at the same time. There are also opportunities from smaller grantmakers that you might be able to pick up if you get involved.\n\nIf you want to work on support or infrastructure rather than directly on research, the [EA Infrastructure Fund](https://funds.effectivealtruism.org/funds/ea-community) may be able to help. You can [talk to EA funds before applying](https://www.lesswrong.com/posts/5AAFoigbbMqgrTpDh/you-can-talk-to-ea-funds-before-applying).\n\nEach grant source has their own criteria for funding, but in general they look for candidates who demonstrate that they're keen and able to do good work towards reducing existential risk (for example, by completing an [AI Safety Camp](https://aisafety.camp/) project). \n\nAnother option is to get hired by an organization that works on AI alignment; see [other questions](/?state=8U32&question=I%20want%20to%20take%20big%20steps%20to%20contribute%20to%20AI%20alignment%20(e.g.%20making%20it%20my%20career).%20What%20should%20I%20do%3F) for advice on that.\n\nIt's also worth checking the AI Alignment tag on the [EA funding sources website](https://eafunding.softr.app/) for up-to-date suggestions.\n\n[^kix.s0ofridy8s23]: “Where money grows on trees!”```" + "Rich Text": "```See the [Future Funding List](https://www.futurefundinglist.com/) and the funding forest[^kix.s0ofridy8s23] on [aisafety.world](https://aisafety.world/) for up to date information!\n\nThe organizations that most regularly give grants to individuals working towards AI alignment are the [Long Term Future Fund](https://funds.effectivealtruism.org/funds/far-future), [Survival And Flourishing](http://survivalandflourishing.org/), the [OpenPhil AI Fellowship](https://www.openphilanthropy.org/focus/global-catastrophic-risks/potential-risks-advanced-artificial-intelligence/the-open-phil-ai-fellowship) and [early career funding](https://www.openphilanthropy.org/focus/other-areas/early-career-funding-individuals-interested-improving-long-term-future), the [Future of Life Institute](https://grants.futureoflife.org/), the [Future of Humanity Institute](https://www.fhi.ox.ac.uk/aia-fellowship/), and [the Center on Long-Term Risk Fund](https://longtermrisk.org/grantmaking/). The [Nonlinear Network](https://nonlinearnetwork.org/) will let you apply for grants to do projects related to AI safety and reach many different funders at the same time. There are also opportunities from smaller grantmakers that you might be able to pick up if you get involved.\n\nIf you want to work on support or infrastructure rather than directly on research, the [EA Infrastructure Fund](https://funds.effectivealtruism.org/funds/ea-community) may be able to help. You can [talk to EA funds before applying](https://www.lesswrong.com/posts/5AAFoigbbMqgrTpDh/you-can-talk-to-ea-funds-before-applying).\n\nEach grant source has their own criteria for funding, but in general they look for candidates who demonstrate that they're keen and able to do good work towards reducing existential risk (for example, by completing an [AI safety Camp](https://aisafety.camp/) project). \n\nAnother option is to get hired by an organization that works on AI alignment; see [other questions](/?state=8U32&question=I%20want%20to%20take%20big%20steps%20to%20contribute%20to%20AI%20alignment%20(e.g.%20making%20it%20my%20career).%20What%20should%20I%20do%3F) for advice on that.\n\nIt's also worth checking the AI Alignment tag on the [EA funding sources website](https://eafunding.softr.app/) for up-to-date suggestions.\n\n[^kix.s0ofridy8s23]: “Where money grows on trees!”```" } }, { @@ -28120,7 +28120,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "How can I contribute to Stampy's AI Safety Info?", + "name": "How can I contribute to Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "tableId": "grid-sync-1059-File", "rowId": "i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", @@ -28168,7 +28168,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```It’s great that you want to help! Here are some ways you can learn more about AI safety and start contributing:\n\n### Learn More:\n\nLearning more about AI alignment will provide you with good foundations for helping. You could start by absorbing content and thinking about challenges or possible solutions.\n\nConsider these options:\n\n- Keep exploring our website.\n\n- Complete an online course. [AI Safety Fundamentals](https://aisafetyfundamentals.com/) is a popular option that offers courses for both [alignment](https://course.aisafetyfundamentals.com/alignment) and [governance](https://course.aisafetyfundamentals.com/governance). There is also [Intro to ML Safety](https://course.mlsafety.org/about) which follows a more empirical curriculum. Getting into these courses can be competitive, but all the material is also available online for self-study. More in the [follow-up question](/?state=6713&question=I%E2%80%99d%20like%20to%20get%20deeper%20into%20the%20AI%20alignment%20literature.%20Where%20should%20I%20look%3F).\n\n- Learn more by reading [books](/?state=8159&question=What%20are%20some%20good%20books%20about%20AGI%20safety%3F) (we recommend [The Alignment Problem](https://en.wikipedia.org/wiki/The_Alignment_Problem)), watching [videos](/?state=2222&question=Where%20can%20I%20find%20videos%20about%20AI%20Safety%3F), or listening to [podcasts](/?state=7619&question=What%20are%20some%20good%20podcasts%20about%20AI%20alignment%3F).\n\n### Join the Community:\n\nJoining the community is a great way to find friends who are interested and will help you stay motivated.\n\n- Join the local group for [AI Safety](https://aisafetyfundamentals.com/local-groups), [Effective Altruism](https://forum.effectivealtruism.org/groups)[^kix.b2qzpjkdiee1] or [LessWrong](https://www.lesswrong.com/community). You can also organize your own!\n\n- Join online communities such as [Rob Miles’s Discord](https://discord.gg/eEyM9FfP) or the [AI Alignment Slack](https://bit.ly/3HiXUrv).\n\n- Write thoughtful comments on platforms where people discuss AI safety, such as [LessWrong](https://www.lesswrong.com/tag/ai?sortedBy=magic).\n\n- Attend an EAGx conference for networking opportunities.\n\nHere’s a list of existing [AI safety communities](https://aisafety.community/).\n\n### Donate, Volunteer, and Reach Out:\n\nDonating to organizations or individuals working on AI safety can be a great way to provide support. \n\n- [Donate](/?state=8U2Y&question=I%E2%80%99m%20interested%20in%20providing%20significant%20financial%20support%20to%20AI%20alignment.%20How%20should%20I%20go%20about%20this%3F) to AI safety projects.\n\n- [Help us write and edit](https://coda.io/@alignmentdev/ai-safety-info) the articles on this website so that other people can learn about AI alignment more easily. You can always ask on [Discord](https://discord.gg/wt5pSm8PBM) for feedback on things you write.\n\n- [Write to local politicians](https://www.campaignforaisafety.org/politician/) about policies to reduce AI existential risk.\n\nIf you don’t know where to start, consider signing up for a navigation call with [AI Safety Quest](https://aisafety.quest/) to learn what resources are out there and to find social support.\n\nIf you’re overwhelmed, you could look at our [other article](/?state=7590&question=What%20actions%20can%20I%20take%20in%20under%20five%20minutes%20to%20contribute%20to%20the%20cause%20of%20AI%20safety%3F) that offers more bite-sized suggestions.\n\n[^kix.b2qzpjkdiee1]: Not all EA groups focus on AI safety; contact your local group to find out if it’s a good match.```" + "Rich Text": "```It’s great that you want to help! Here are some ways you can learn more about AI safety and start contributing:\n\n### Learn More:\n\nLearning more about AI alignment will provide you with good foundations for helping. You could start by absorbing content and thinking about challenges or possible solutions.\n\nConsider these options:\n\n- Keep exploring our website.\n\n- Complete an online course. [AI safety Fundamentals](https://aisafetyfundamentals.com/) is a popular option that offers courses for both [alignment](https://course.aisafetyfundamentals.com/alignment) and [governance](https://course.aisafetyfundamentals.com/governance). There is also [Intro to ML Safety](https://course.mlsafety.org/about) which follows a more empirical curriculum. Getting into these courses can be competitive, but all the material is also available online for self-study. More in the [follow-up question](/?state=6713&question=I%E2%80%99d%20like%20to%20get%20deeper%20into%20the%20AI%20alignment%20literature.%20Where%20should%20I%20look%3F).\n\n- Learn more by reading [books](/?state=8159&question=What%20are%20some%20good%20books%20about%20AGI%20safety%3F) (we recommend [The Alignment Problem](https://en.wikipedia.org/wiki/The_Alignment_Problem)), watching [videos](/?state=2222&question=Where%20can%20I%20find%20videos%20about%20AI%20Safety%3F), or listening to [podcasts](/?state=7619&question=What%20are%20some%20good%20podcasts%20about%20AI%20alignment%3F).\n\n### Join the Community:\n\nJoining the community is a great way to find friends who are interested and will help you stay motivated.\n\n- Join the local group for [AI safety](https://aisafetyfundamentals.com/local-groups), [Effective Altruism](https://forum.effectivealtruism.org/groups)[^kix.b2qzpjkdiee1] or [LessWrong](https://www.lesswrong.com/community). You can also organize your own!\n\n- Join online communities such as [Rob Miles’s Discord](https://discord.gg/eEyM9FfP) or the [AI Alignment Slack](https://bit.ly/3HiXUrv).\n\n- Write thoughtful comments on platforms where people discuss AI safety, such as [LessWrong](https://www.lesswrong.com/tag/ai?sortedBy=magic).\n\n- Attend an EAGx conference for networking opportunities.\n\nHere’s a list of existing [AI safety communities](https://aisafety.community/).\n\n### Donate, Volunteer, and Reach Out:\n\nDonating to organizations or individuals working on AI safety can be a great way to provide support. \n\n- [Donate](/?state=8U2Y&question=I%E2%80%99m%20interested%20in%20providing%20significant%20financial%20support%20to%20AI%20alignment.%20How%20should%20I%20go%20about%20this%3F) to AI safety projects.\n\n- [Help us write and edit](https://coda.io/@alignmentdev/ai-safety-info) the articles on this website so that other people can learn about AI alignment more easily. You can always ask on [Discord](https://discord.gg/wt5pSm8PBM) for feedback on things you write.\n\n- [Write to local politicians](https://www.campaignforaisafety.org/politician/) about policies to reduce AI existential risk.\n\nIf you don’t know where to start, consider signing up for a navigation call with [AI safety Quest](https://aisafety.quest/) to learn what resources are out there and to find social support.\n\nIf you’re overwhelmed, you could look at our [other article](/?state=7590&question=What%20actions%20can%20I%20take%20in%20under%20five%20minutes%20to%20contribute%20to%20the%20cause%20of%20AI%20safety%3F) that offers more bite-sized suggestions.\n\n[^kix.b2qzpjkdiee1]: Not all EA groups focus on AI safety; contact your local group to find out if it’s a good match.```" } }, { @@ -29328,7 +29328,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```How long will it be until human-level AI is created?\nWhen will human-level AI be created?\n```", - "Rich Text": "```\n\nIt’s hard to have justified confidence in [the amount of time until human-level AI](https://www.alignmentforum.org/tag/ai-timelines) ([HLAI](/?state=5864&question=What%20are%20the%20differences%20between%20AGI%2C%20transformative%20AI%2C%20and%20superintelligence%3F))[^kix.fy3o4ipffcjo]. Attempts to predict it include surveys, individual predictions, and detailed modeling.\n\nSurveys:\n\n- [AI Impacts’ 2022 survey](https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/) of 738 machine learning researchers produced an aggregate forecast of 50% by 2059.\n\n- As of September 2023, [Metaculus](https://en.wikipedia.org/wiki/Metaculus)[^kix.sbyw05rfautq] has a median forecast of 2032 for “[the first general AI system](https://www.metaculus.com/questions/5121/date-of-artificial-general-intelligence/)” and a median forecast of 2027 for “[weakly general AI](https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/)”. Both these forecasts have been trending towards earlier predictions over time.\n\n- [Samotsvety](https://samotsvety.org/)’s forecasters [estimated](https://forum.effectivealtruism.org/posts/ByBBqwRXWqX5m9erL/update-to-samotsvety-agi-timelines) 50% probability of AGI by 2041 with a standard deviation of 9 years.\n\n[See more…]\n\nIndividual predictions:\n\n- [Daniel Kokotajlo](https://www.alignmentforum.org/users/daniel-kokotajlo)’s 2023 [analysis](https://www.alignmentforum.org/posts/Gc9FGtdXhK9sCSEYu/what-a-compute-centric-framework-says-about-ai-takeoff?commentId=YAraBzHPTHjHQG56X) predicts 2028.\n\n- Connor Leahy, CEO of Conjecture, gave a ballpark prediction in 2022 of a [50% chance of AGI by 2030, 99% by 2100](https://www.youtube.com/watch?v=Oz4G9zrlAGs&t=2083s). A 2023 survey of employees at Conjecture found that all of the respondents expected AGI [before 2035](https://www.conjecture.dev/timelines-and-pdoom/).\n\n- Holden Karnofsky [estimated](https://www.cold-takes.com/where-ai-forecasting-stands-today/) in 2021 that there was “more than a 10% chance we'll see transformative AI within 15 years (by 2036); a ~50% chance we'll see it within 40 years (by 2060); and a ~⅔ chance we'll see it this century (by 2100).”\n\n- Paul Christiano [estimated](https://www.lesswrong.com/posts/ZRrYsZ626KSEgHv8s/self-driving-car-bets) in 2023 that there was a 30% chance of transformative AI by 2033.\n\n- Yoshua Bengio [estimated](https://yoshuabengio.org/2023/06/24/faq-on-catastrophic-ai-risks/) in 2023 “a 95% confidence interval for the time horizon of superhuman intelligence at 5 to 20 years”. Geoffrey Hinton also [predicts](https://twitter.com/geoffreyhinton/status/1653687894534504451) 5-20 years, but his confidence is lower.\n\n- Shane Legg [estimated](https://twitter.com/ShaneLegg/status/1693673161353478474) in 2023 a probability of 80% within 13 years (before 2037).\n\nModels:\n\n- A report by Ajeya Cotra for Open Philanthropy estimates the arrival of transformative AI (TAI) based on “biological anchors”[^kix.19ziogn962ug]. In the [2020 version of the report](https://www.alignmentforum.org/posts/KrJfoZzpSDpnrv9va/draft-report-on-ai-timelines), she predicted a 50% chance by 2050, but developments in AI in the two years that followed pushed her estimate to [2040](https://www.lesswrong.com/posts/AfH2oPHCApdKicM4m/two-year-update-on-my-personal-ai-timelines) in 2022.\n\n- Matthew Barnett suggests an alternative to Cotra’s biological anchors model with an [updated model](https://www.lesswrong.com/posts/4ufbirCCLsFiscWuY/a-proposed-method-for-forecasting-ai) that as of Q2 2023 suggests TAI by ~2040.\n\n- Epoch has done a [literature review of timelines](https://epochai.org/blog/literature-review-of-transformative-artificial-intelligence-timelines).\n\nAll of these forecasts are speculative,[^kix.zbmrq0a4aqjj] contain various assumptions, use different definitions, and are probably subject to some selection bias.[^kix.qeoiw0vdt7kg] However, they broadly agree that HLAI is plausible within the lifetimes of most people alive today. What’s more, these forecasts generally seem to have been getting shorter over time.[^kix.ewrt0f5zps1j]\n\n[^kix.fy3o4ipffcjo]: We concentrate here on HLAI and similar levels of capacities such as Transformative AI (TAI), which may be different from AGI. For more info on these terms, see [this explainer](/?state=5864&question=What%20are%20the%20differences%20between%20AGI%2C%20transformative%20AI%2C%20and%20superintelligence%3F).\n[^kix.zbmrq0a4aqjj]: Scott Alexander points out that researchers that appear prescient one year sometimes predict barely better than chance the next year.\n[^kix.qeoiw0vdt7kg]: One can expect people with short timelines to be overrepresented in those who study AI Safety, as shorter timelines increase the perceived urgency of working on the problem.\n[^kix.ewrt0f5zps1j]:There have been many cases where AI has gone from zero-to-solved. This is a problem; sudden capabilities are scary.\n[^kix.19ziogn962ug]: The author estimates the amount of compute done by biological evolution in the development of human intelligence and argues this should be considered an upper bound on the amount of synthetic compute necessary to develop HLAI.\n[^kix.sbyw05rfautq]: Metaculus is a platform that aggregates the predictions of many individuals, and tends to have a [decent track record](https://bounded-regret.ghost.io/scoring-ml-forecasts-for-2023/) at making predictions related to AI.```" + "Rich Text": "```\n\nIt’s hard to have justified confidence in [the amount of time until human-level AI](https://www.alignmentforum.org/tag/ai-timelines) ([HLAI](/?state=5864&question=What%20are%20the%20differences%20between%20AGI%2C%20transformative%20AI%2C%20and%20superintelligence%3F))[^kix.fy3o4ipffcjo]. Attempts to predict it include surveys, individual predictions, and detailed modeling.\n\nSurveys:\n\n- [AI Impacts’ 2022 survey](https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/) of 738 machine learning researchers produced an aggregate forecast of 50% by 2059.\n\n- As of September 2023, [Metaculus](https://en.wikipedia.org/wiki/Metaculus)[^kix.sbyw05rfautq] has a median forecast of 2032 for “[the first general AI system](https://www.metaculus.com/questions/5121/date-of-artificial-general-intelligence/)” and a median forecast of 2027 for “[weakly general AI](https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/)”. Both these forecasts have been trending towards earlier predictions over time.\n\n- [Samotsvety](https://samotsvety.org/)’s forecasters [estimated](https://forum.effectivealtruism.org/posts/ByBBqwRXWqX5m9erL/update-to-samotsvety-agi-timelines) 50% probability of AGI by 2041 with a standard deviation of 9 years.\n\n[See more…]\n\nIndividual predictions:\n\n- [Daniel Kokotajlo](https://www.alignmentforum.org/users/daniel-kokotajlo)’s 2023 [analysis](https://www.alignmentforum.org/posts/Gc9FGtdXhK9sCSEYu/what-a-compute-centric-framework-says-about-ai-takeoff?commentId=YAraBzHPTHjHQG56X) predicts 2028.\n\n- Connor Leahy, CEO of Conjecture, gave a ballpark prediction in 2022 of a [50% chance of AGI by 2030, 99% by 2100](https://www.youtube.com/watch?v=Oz4G9zrlAGs&t=2083s). A 2023 survey of employees at Conjecture found that all of the respondents expected AGI [before 2035](https://www.conjecture.dev/timelines-and-pdoom/).\n\n- Holden Karnofsky [estimated](https://www.cold-takes.com/where-ai-forecasting-stands-today/) in 2021 that there was “more than a 10% chance we'll see transformative AI within 15 years (by 2036); a ~50% chance we'll see it within 40 years (by 2060); and a ~⅔ chance we'll see it this century (by 2100).”\n\n- Paul Christiano [estimated](https://www.lesswrong.com/posts/ZRrYsZ626KSEgHv8s/self-driving-car-bets) in 2023 that there was a 30% chance of transformative AI by 2033.\n\n- Yoshua Bengio [estimated](https://yoshuabengio.org/2023/06/24/faq-on-catastrophic-ai-risks/) in 2023 “a 95% confidence interval for the time horizon of superhuman intelligence at 5 to 20 years”. Geoffrey Hinton also [predicts](https://twitter.com/geoffreyhinton/status/1653687894534504451) 5-20 years, but his confidence is lower.\n\n- Shane Legg [estimated](https://twitter.com/ShaneLegg/status/1693673161353478474) in 2023 a probability of 80% within 13 years (before 2037).\n\nModels:\n\n- A report by Ajeya Cotra for Open Philanthropy estimates the arrival of transformative AI (TAI) based on “biological anchors”[^kix.19ziogn962ug]. In the [2020 version of the report](https://www.alignmentforum.org/posts/KrJfoZzpSDpnrv9va/draft-report-on-ai-timelines), she predicted a 50% chance by 2050, but developments in AI in the two years that followed pushed her estimate to [2040](https://www.lesswrong.com/posts/AfH2oPHCApdKicM4m/two-year-update-on-my-personal-ai-timelines) in 2022.\n\n- Matthew Barnett suggests an alternative to Cotra’s biological anchors model with an [updated model](https://www.lesswrong.com/posts/4ufbirCCLsFiscWuY/a-proposed-method-for-forecasting-ai) that as of Q2 2023 suggests TAI by ~2040.\n\n- Epoch has done a [literature review of timelines](https://epochai.org/blog/literature-review-of-transformative-artificial-intelligence-timelines).\n\nAll of these forecasts are speculative,[^kix.zbmrq0a4aqjj] contain various assumptions, use different definitions, and are probably subject to some selection bias.[^kix.qeoiw0vdt7kg] However, they broadly agree that HLAI is plausible within the lifetimes of most people alive today. What’s more, these forecasts generally seem to have been getting shorter over time.[^kix.ewrt0f5zps1j]\n\n[^kix.fy3o4ipffcjo]: We concentrate here on HLAI and similar levels of capacities such as Transformative AI (TAI), which may be different from AGI. For more info on these terms, see [this explainer](/?state=5864&question=What%20are%20the%20differences%20between%20AGI%2C%20transformative%20AI%2C%20and%20superintelligence%3F).\n[^kix.zbmrq0a4aqjj]: Scott Alexander points out that researchers that appear prescient one year sometimes predict barely better than chance the next year.\n[^kix.qeoiw0vdt7kg]: One can expect people with short timelines to be overrepresented in those who study AI safety, as shorter timelines increase the perceived urgency of working on the problem.\n[^kix.ewrt0f5zps1j]:There have been many cases where AI has gone from zero-to-solved. This is a problem; sudden capabilities are scary.\n[^kix.19ziogn962ug]: The author estimates the amount of compute done by biological evolution in the development of human intelligence and argues this should be considered an upper bound on the amount of synthetic compute necessary to develop HLAI.\n[^kix.sbyw05rfautq]: Metaculus is a platform that aggregates the predictions of many individuals, and tends to have a [decent track record](https://bounded-regret.ghost.io/scoring-ml-forecasts-for-2023/) at making predictions related to AI.```" } }, { @@ -30251,7 +30251,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -30387,7 +30387,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Forming an “[inside view](https://www.alignmentforum.org/tag/inside-outside-view)” of AI safety is the standard advice for aspiring [AI safety researchers](/?state=8UMA&question=How%20can%20I%20do%20conceptual%2C%20mathematical%2C%20or%20philosophical%20work%20on%20AI%20alignment%3F), [policymakers](/?state=8U2Z&question=How%20can%20I%20work%20on%20AI%20policy%3F), [grantmakers](/?state=8U2X&question=How%20can%20I%20work%20on%20assessing%20AI%20alignment%20projects%20and%20distributing%20grants%3F), and anyone else making strategic decisions to mitigate AI risk. There are good reasons for this advice: if your opinions are not informed by [mechanistic models](https://www.lesswrong.com/posts/B7P97C27rvHPz3s9B/gears-in-understanding) of [how AI risk might play out](https://www.alignmentforum.org/tag/threat-models) and what [success stories might look like](https://www.alignmentforum.org/tag/ai-success-models), they will remain largely unfounded. This can lead to misallocating great effort on work and upskilling projects that are off the critical path to good futures. It can even lead to actions which, while well-intentioned, are actively counterproductive. Being [comfortable updating your views](https://www.readthesequences.com/The-Importance-Of-Saying-Oops) and actively seeking the truth is critical, because it allows you to notice when you’ve been focusing on the wrong area.\n\nA key part of forming inside views is taking time to think carefully about how the strategic landscape will unfold, and how different interventions might affect this. If you want to steer the future reliably, it’s worthwhile to invest the time in building well-grounded models, as they help both your decision making and the AI safety movement’s epistemics.\n\nIn AI safety, as in most areas, it helps to read other people’s ideas so you can stand on the shoulders of giants and compare your predictions and frames against alternatives to inform your own perspective. Reading through different researchers’ [threat models](https://www.alignmentforum.org/tag/threat-models) and [success stories](https://www.alignmentforum.org/tag/ai-success-models) can be particularly valuable. Some other points to explore:\n\n- The Machine Intelligence Research Institute’s ["Why AI safety?" info page](https://intelligence.org/why-ai-safety/) contains links to relevant research.\n\n- The Effective Altruism Forum has an article called ["How I formed my own views on AI safety"](https://forum.effectivealtruism.org/posts/xS9dFE3A6jdooiN7M/how-i-formed-my-own-views-about-ai-safety), which could be helpful.\n\n- There is also [this article from Vox](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment). \n\n- Below is a Robert Miles YouTube video that can be a good place to start.\n\n\n\n```" + "Rich Text": "```Forming an “[inside view](https://www.alignmentforum.org/tag/inside-outside-view)” of AI safety is the standard advice for aspiring [AI safety researchers](/?state=8UMA&question=How%20can%20I%20do%20conceptual%2C%20mathematical%2C%20or%20philosophical%20work%20on%20AI%20alignment%3F), [policymakers](/?state=8U2Z&question=How%20can%20I%20work%20on%20AI%20policy%3F), [grantmakers](/?state=8U2X&question=How%20can%20I%20work%20on%20assessing%20AI%20alignment%20projects%20and%20distributing%20grants%3F), and anyone else making strategic decisions to mitigate AI risk. There are good reasons for this advice: if your opinions are not informed by [mechanistic models](https://www.lesswrong.com/posts/B7P97C27rvHPz3s9B/gears-in-understanding) of [how AI risk might play out](https://www.alignmentforum.org/tag/threat-models) and what [success stories might look like](https://www.alignmentforum.org/tag/ai-success-models), they will remain largely unfounded. This can lead to misallocating great effort on work and upskilling projects that are off the critical path to good futures. It can even lead to actions which, while well-intentioned, are actively counterproductive. Being [comfortable updating your views](https://www.readthesequences.com/The-Importance-Of-Saying-Oops) and actively seeking the truth is critical, because it allows you to notice when you’ve been focusing on the wrong area.\n\nA key part of forming inside views is taking time to think carefully about how the strategic landscape will unfold, and how different interventions might affect this. If you want to steer the future reliably, it’s worthwhile to invest the time in building well-grounded models, as they help both your decision making and the AI safety movement’s epistemics.\n\nIn AI safety, as in most areas, it helps to read other people’s ideas so you can stand on the shoulders of giants and compare your predictions and frames against alternatives to inform your own perspective. Reading through different researchers’ [threat models](https://www.alignmentforum.org/tag/threat-models) and [success stories](https://www.alignmentforum.org/tag/ai-success-models) can be particularly valuable. Some other points to explore:\n\n- The Machine Intelligence Research Institute’s ["Why AI safety?" info page](https://intelligence.org/why-ai-safety/) contains links to relevant research.\n\n- The Effective Altruism Forum has an article called ["How I formed my own views on AI safety"](https://forum.effectivealtruism.org/posts/xS9dFE3A6jdooiN7M/how-i-formed-my-own-views-about-ai-safety), which could be helpful.\n\n- There is also [this article from Vox](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment). \n\n- Below is a Robert Miles YouTube video that can be a good place to start.\n\n\n\n```" } }, { @@ -31602,7 +31602,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```This is actually an active area of AI alignment research, called *[Impact Measures](https://www.alignmentforum.org/tag/impact-measures)*. It's not trivial to formalize in a way which won't predictably go wrong (entropy minimization likely leads to an AI which tries really hard to put out all the stars ASAP since they produce so much entropy, for example), but progress is being made.\n\n\n\n\n\n```" + "Rich Text": "```This is actually an active area of AI alignment research, called *[Impact Measures](https://www.alignmentforum.org/tag/impact-measures)*. It's not trivial to formalize in a way which won't predictably go wrong (entropy minimization likely leads to an AI which tries really hard to put out all the stars ASAP since they produce so much entropy, for example), but progress is being made.\n\n\n\n\n\n```" } }, { @@ -32705,7 +32705,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```The major AI companies are thinking about this. OpenAI was founded specifically with the intention to counter risks from superintelligence, many people at Google, [DeepMind](https://medium.com/@deepmindsafetyresearch), and other organizations are convinced by the arguments and few genuinely oppose work in the field (though some claim it’s premature). For example, the paper [Concrete Problems in AI Safety](https://www.youtube.com/watch?v=AjyM-f8rDpg) was a collaboration between researchers at Google Brain, Stanford, Berkeley, and OpenAI.\n\nHowever, the vast majority of the effort these organizations put forward is towards capabilities research, rather than safety.\n\n```" + "Rich Text": "```The major AI companies are thinking about this. OpenAI was founded specifically with the intention to counter risks from superintelligence, many people at Google, [DeepMind](https://medium.com/@deepmindsafetyresearch), and other organizations are convinced by the arguments and few genuinely oppose work in the field (though some claim it’s premature). For example, the paper [Concrete Problems in AI safety](https://www.youtube.com/watch?v=AjyM-f8rDpg) was a collaboration between researchers at Google Brain, Stanford, Berkeley, and OpenAI.\n\nHowever, the vast majority of the effort these organizations put forward is towards capabilities research, rather than safety.\n\n```" } }, { @@ -33126,7 +33126,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```It certainly seems that doing something like this would help. \n\nThis idea isn’t discussed in Rob Miles’s [video](https://www.youtube.com/watch?v=gdKMG6kTl6Y) or [the paper](https://intelligence.org/files/QuantilizersSaferAlternative.pdf) it is based on, because even though there's a plausible case that it's helpful, there isn’t a provable guarantee.\n\nThis is important, since a [quantilizer](/?state=6380&question=What%20is%20a%20%22quantilizer%22%3F) isn't really something you can actually build. The systems we study in AI Safety tend to fall somewhere on a spectrum from "real, practical AI system that is so messy and complex that it's hard to really think about or draw any solid conclusions from" on one end, to "mathematical formalism that we can prove beautiful theorems about but not actually build" on the other, and quantilizers are pretty far towards the 'mathematical' end. For one thing, it’s not practical to run an [expected utility](/?state=9JPH&question=What%20is%20an%20expected%20utility%20maximizer%3F) calculation on every possible action like a quantilizer would. But proving things about quantilizers gives us insight into how more practical AI systems may behave, or we may be able to build approximations of quantilizers, etc.\n\nSo if we built something that was quantilizer-like, using a sensible human utility function and a good choice of safe distribution, this idea would probably help make it safer. But you probably can't prove that mathematically without making a lot of extra assumptions about the utility function and/or the action distribution. So it's a potentially good idea that's nonetheless hard to express within the mathematical framework in which the quantilizer exists.\n\nTL;DR: This is likely a good idea! But can we prove it?\n\n```" + "Rich Text": "```It certainly seems that doing something like this would help. \n\nThis idea isn’t discussed in Rob Miles’s [video](https://www.youtube.com/watch?v=gdKMG6kTl6Y) or [the paper](https://intelligence.org/files/QuantilizersSaferAlternative.pdf) it is based on, because even though there's a plausible case that it's helpful, there isn’t a provable guarantee.\n\nThis is important, since a [quantilizer](/?state=6380&question=What%20is%20a%20%22quantilizer%22%3F) isn't really something you can actually build. The systems we study in AI safety tend to fall somewhere on a spectrum from "real, practical AI system that is so messy and complex that it's hard to really think about or draw any solid conclusions from" on one end, to "mathematical formalism that we can prove beautiful theorems about but not actually build" on the other, and quantilizers are pretty far towards the 'mathematical' end. For one thing, it’s not practical to run an [expected utility](/?state=9JPH&question=What%20is%20an%20expected%20utility%20maximizer%3F) calculation on every possible action like a quantilizer would. But proving things about quantilizers gives us insight into how more practical AI systems may behave, or we may be able to build approximations of quantilizers, etc.\n\nSo if we built something that was quantilizer-like, using a sensible human utility function and a good choice of safe distribution, this idea would probably help make it safer. But you probably can't prove that mathematically without making a lot of extra assumptions about the utility function and/or the action distribution. So it's a potentially good idea that's nonetheless hard to express within the mathematical framework in which the quantilizer exists.\n\nTL;DR: This is likely a good idea! But can we prove it?\n\n```" } }, { @@ -36027,7 +36027,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```If you like interactive FAQs, you're in the right place already! Joking aside, some great entry points are the [AI alignment playlist](https://youtu.be/pYXy-A4siMw?list=PLCRVRLd2RhZTpdUdEzJjo3qhmX3y3skWA&t=14) on YouTube, “[The Road to Superintelligence](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html)” and “[Our Immortality or Extinction](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html)” posts on WaitButWhy for a fun, accessible introduction, and *Vox's* “[The case for taking AI seriously as a threat to humanity](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment)” as a high-quality mainstream explainer piece.\n\n[The AI Does Not Hate You: Superintelligence, Rationality, and the Race to Save the World](https://www.amazon.com/AI-Does-Not-Hate-You/dp/1474608779/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=&sr=) is a very readable book-length introduction to the technical challenge and the growing movement to tackle it; more book recommendations are in [the followup question](/?state=8159&question=What%20are%20some%20good%20books%20about%20AGI%20safety%3F).\n\nThe free online [Cambridge course on AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) provides a strong grounding in much of the field and a cohort + mentor to learn with. There's even an [anki deck](https://www.ai-alignment-flashcards.com/) for people who like spaced repetition!\n\nThere are many resources in this post on [Levelling Up in AI Safety Research Engineering](https://forum.effectivealtruism.org/posts/S7dhJR5TDwPb5jypG/levelling-up-in-ai-safety-research-engineering) with a list of other guides at the bottom. There is also a [twitter thread](https://twitter.com/FreshMangoLassi/status/1575138148937498625) here with some programs for upskilling and some for safety-specific learning.\n\nThe [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) ([podcast](https://alignment-newsletter.libsyn.com/)), [Alignment Forum](https://www.alignmentforum.org/), and [AGI Control Problem Subreddit](https://www.reddit.com/r/ControlProblem/) are great for keeping up with latest developments.\n\n[^kix.cqb94jfvr5ii]:```" + "Rich Text": "```If you like interactive FAQs, you're in the right place already! Joking aside, some great entry points are the [AI alignment playlist](https://youtu.be/pYXy-A4siMw?list=PLCRVRLd2RhZTpdUdEzJjo3qhmX3y3skWA&t=14) on YouTube, “[The Road to Superintelligence](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html)” and “[Our Immortality or Extinction](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html)” posts on WaitButWhy for a fun, accessible introduction, and *Vox's* “[The case for taking AI seriously as a threat to humanity](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment)” as a high-quality mainstream explainer piece.\n\n[The AI Does Not Hate You: Superintelligence, Rationality, and the Race to Save the World](https://www.amazon.com/AI-Does-Not-Hate-You/dp/1474608779/ref=tmm_hrd_swatch_0?_encoding=UTF8&qid=&sr=) is a very readable book-length introduction to the technical challenge and the growing movement to tackle it; more book recommendations are in [the followup question](/?state=8159&question=What%20are%20some%20good%20books%20about%20AGI%20safety%3F).\n\nThe free online [Cambridge course on AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) provides a strong grounding in much of the field and a cohort + mentor to learn with. There's even an [anki deck](https://www.ai-alignment-flashcards.com/) for people who like spaced repetition!\n\nThere are many resources in this post on [Levelling Up in AI safety Research Engineering](https://forum.effectivealtruism.org/posts/S7dhJR5TDwPb5jypG/levelling-up-in-ai-safety-research-engineering) with a list of other guides at the bottom. There is also a [twitter thread](https://twitter.com/FreshMangoLassi/status/1575138148937498625) here with some programs for upskilling and some for safety-specific learning.\n\nThe [Alignment Newsletter](https://rohinshah.com/alignment-newsletter/) ([podcast](https://alignment-newsletter.libsyn.com/)), [Alignment Forum](https://www.alignmentforum.org/), and [AGI Control Problem Subreddit](https://www.reddit.com/r/ControlProblem/) are great for keeping up with latest developments.\n\n[^kix.cqb94jfvr5ii]:```" } }, { @@ -36135,7 +36135,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```[AI Safety Communities](http://aisafety.community/) has a comprehensive list. Some good specific suggestions include:\n\n- [AI Alignment Slack](https://bit.ly/3HiXUrv)\n\n- A local [AI safety group](https://www.agisafetyfundamentals.com/local-groups)\n\n- A local student meetup or [LessWrong](https://www.lesswrong.com/community) group. (Some [Effective Altruism](https://forum.effectivealtruism.org/community) groups also focus on AI safety).\n\n- [AI Safety Fundamentals](https://aisafetyfundamentals.com/) which gives you a cohort to learn alongside and mentorship\n\n- [Rob Miles’ Discord](https://discord.gg/vjFSCDyMCy)\n\n- [EleutherAI Discord](https://discord.com/invite/wz4MpRec4A) - ML hacker collective focused on alignment and open-source projects.\n\n- The relevant discussion threads on the *[Astral Codex Ten Substack](https://astralcodexten.substack.com/)*, which sometimes discusses alignment.\n\nOr book free calls with [AI Safety Support](https://www.aisafetysupport.org/) or [AI Safety Quest](https://aisafety.quest/).\n\n```" + "Rich Text": "```[AI safety Communities](http://aisafety.community/) has a comprehensive list. Some good specific suggestions include:\n\n- [AI Alignment Slack](https://bit.ly/3HiXUrv)\n\n- A local [AI safety group](https://www.agisafetyfundamentals.com/local-groups)\n\n- A local student meetup or [LessWrong](https://www.lesswrong.com/community) group. (Some [Effective Altruism](https://forum.effectivealtruism.org/community) groups also focus on AI safety).\n\n- [AI safety Fundamentals](https://aisafetyfundamentals.com/) which gives you a cohort to learn alongside and mentorship\n\n- [Rob Miles’ Discord](https://discord.gg/vjFSCDyMCy)\n\n- [EleutherAI Discord](https://discord.com/invite/wz4MpRec4A) - ML hacker collective focused on alignment and open-source projects.\n\n- The relevant discussion threads on the *[Astral Codex Ten Substack](https://astralcodexten.substack.com/)*, which sometimes discusses alignment.\n\nOr book free calls with [AI safety Support](https://www.aisafetysupport.org/) or [AI safety Quest](https://aisafety.quest/).\n\n```" } }, { @@ -36222,7 +36222,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```There are multiple programmes you can apply to if you want to try becoming a researcher. If accepted to these programs, you will get funding and mentorship. [aisafety.training](https://aisafety.training/) provides an up-to-date list of which programs have open applications, with an option to subscribe to updates. Some examples of these programs are: [SERI summer research fellowship](https://www.serisummerfellowship.org/application), [CERI summer research fellowship](https://www.cerifellowship.org), [SERI ML Alignment Theory Program](https://www.serimats.org), and more. A lot of these programs run during specific times of the year (specifically during the summer). Check [here](https://www.aisafety.careers/opportunities) for opportunities that are most appropriate for you.\n\nOther examples of things you can do are: join the next iteration of the [AGI Safety Fundamentals programme](https://www.eacambridge.org/technical-alignment-curriculum) or the [Redwood Research MLAB](https://airtable.com/shr07T428asvSxuHB), if you're thinking of a career as a researcher working on AI safety questions you can get 1-1 career advice from [AI Safety Support](https://www.aisafetysupport.org) or [80,000 Hours](https://80000hours.org/speak-with-us), you can apply to attend an EAGx or [EAG conference](https://www.eaglobal.org/events/) where you can meet in-person with researchers working on these questions so you can directly ask them for advice. If you are already a researcher in natural or social studies, consider applying to [PIBBS](https://www.pibbss.ai).\n\nOne way to find mentors is to simply write to known researchers with specific questions. Not everyone has the time to reply, but they can often point you in the right direction.\n\nSome of these resources might be helpful: [https://www.aisafetysupport.org/resources/lots-of-links](https://www.aisafetysupport.org/resources/lots-of-links)\n\n[https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#Engaging_with_the_AI_alignment_community_will_help_you_a_lot](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#Engaging_with_the_AI_alignment_community_will_help_you_a_lot) \n\n```" + "Rich Text": "```There are multiple programmes you can apply to if you want to try becoming a researcher. If accepted to these programs, you will get funding and mentorship. [aisafety.training](https://aisafety.training/) provides an up-to-date list of which programs have open applications, with an option to subscribe to updates. Some examples of these programs are: [SERI summer research fellowship](https://www.serisummerfellowship.org/application), [CERI summer research fellowship](https://www.cerifellowship.org), [SERI ML Alignment Theory Program](https://www.serimats.org), and more. A lot of these programs run during specific times of the year (specifically during the summer). Check [here](https://www.aisafety.careers/opportunities) for opportunities that are most appropriate for you.\n\nOther examples of things you can do are: join the next iteration of the [AGI Safety Fundamentals programme](https://www.eacambridge.org/technical-alignment-curriculum) or the [Redwood Research MLAB](https://airtable.com/shr07T428asvSxuHB), if you're thinking of a career as a researcher working on AI safety questions you can get 1-1 career advice from [AI safety Support](https://www.aisafetysupport.org) or [80,000 Hours](https://80000hours.org/speak-with-us), you can apply to attend an EAGx or [EAG conference](https://www.eaglobal.org/events/) where you can meet in-person with researchers working on these questions so you can directly ask them for advice. If you are already a researcher in natural or social studies, consider applying to [PIBBS](https://www.pibbss.ai).\n\nOne way to find mentors is to simply write to known researchers with specific questions. Not everyone has the time to reply, but they can often point you in the right direction.\n\nSome of these resources might be helpful: [https://www.aisafetysupport.org/resources/lots-of-links](https://www.aisafetysupport.org/resources/lots-of-links)\n\n[https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#Engaging_with_the_AI_alignment_community_will_help_you_a_lot](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#Engaging_with_the_AI_alignment_community_will_help_you_a_lot) \n\n```" } }, { @@ -36762,7 +36762,7 @@ }, "Last Asked On Discord": "2023-03-02T02:28:15.485+01:00", "Alternate Phrasings": "", - "Rich Text": "```See **[AI Safety Training](https://aisafety.training/)** for an up-to-date list of programs and conferences, with application dates.\n\n- [AI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) ([technical](https://www.eacambridge.org/technical-alignment-curriculum) and [governance](https://www.eacambridge.org/ai-governance-curriculum)) - The canonical AGI safety 101 course. 3.5 hours reading, 1.5 hours talking with a facilitator every week for 8 weeks.\n\n- [AI safety camp](https://aisafety.camp/) - Actually do some AI research. More about output than learning.\n\n- [SERI ML Alignment Theory Scholars Program SERI MATS](https://www.serimats.org/) - Four weeks developing an understanding of a research agenda at the forefront of AI alignment through online readings and cohort discussions, averaging 10 h/week. After this initial upskilling period, the scholars will be paired with an established AI alignment researcher for a two-week ‘research sprint’ to test fit. Assuming all goes well, scholars will be accepted into an eight-week intensive scholars program in Berkeley, California.\n\n- [Principles of Intelligent Behavior in Biological and Social Systems (PIBBSS)](https://www.pibbss.ai/) - Brings together young researchers studying complex and intelligent behavior in natural and social systems.\n\n- [Safety and Control for Artificial General Intelligence](https://inst.eecs.berkeley.edu//~cs294-149/fa18/) - An actual AI Safety university course (UC Berkeley). Touches multiple domains including cognitive science, utility theory, cybersecurity, human-machine interaction, and political science.\n\nFurther reading:\n\n- [A spreadsheet of learning resources](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0)\n\n```" + "Rich Text": "```See **[AI safety Training](https://aisafety.training/)** for an up-to-date list of programs and conferences, with application dates.\n\n- [AI safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) ([technical](https://www.eacambridge.org/technical-alignment-curriculum) and [governance](https://www.eacambridge.org/ai-governance-curriculum)) - The canonical AGI safety 101 course. 3.5 hours reading, 1.5 hours talking with a facilitator every week for 8 weeks.\n\n- [AI safety camp](https://aisafety.camp/) - Actually do some AI research. More about output than learning.\n\n- [SERI ML Alignment Theory Scholars Program SERI MATS](https://www.serimats.org/) - Four weeks developing an understanding of a research agenda at the forefront of AI alignment through online readings and cohort discussions, averaging 10 h/week. After this initial upskilling period, the scholars will be paired with an established AI alignment researcher for a two-week ‘research sprint’ to test fit. Assuming all goes well, scholars will be accepted into an eight-week intensive scholars program in Berkeley, California.\n\n- [Principles of Intelligent Behavior in Biological and Social Systems (PIBBSS)](https://www.pibbss.ai/) - Brings together young researchers studying complex and intelligent behavior in natural and social systems.\n\n- [Safety and Control for Artificial General Intelligence](https://inst.eecs.berkeley.edu//~cs294-149/fa18/) - An actual AI safety university course (UC Berkeley). Touches multiple domains including cognitive science, utility theory, cybersecurity, human-machine interaction, and political science.\n\nFurther reading:\n\n- [A spreadsheet of learning resources](https://docs.google.com/spreadsheets/d/1QSEWjXZuqmG6ORkig84V4sFCldIntyuQj7yq3gkDo0U/edit#gid=0)\n\n```" } }, { @@ -37242,7 +37242,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "tableId": "grid-sync-1059-File", "rowId": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", @@ -37260,7 +37260,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Sharing high quality information about AI Safety can be one of the lowest-effort ways to expose people to the ideas. Be sure to engage with the replies with care and do your research when replying to questions (feel free to add such questions to aisafety.info for our team to work on).\n\n**Top 3:**\n\n- Introduction to AI safety by Robert Miles\n\n\n\n- Rational animations\n\n\n\n- Article from Vox\n\n[The case for taking AI seriously as a threat to humanity](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment)\n\n**For Machine Learning researchers:**\n\n- [More is Different for AI](https://bounded-regret.ghost.io/more-is-different-for-ai/) by Jacob Steinhardt\n\n- [Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0) by Vael Gates (2022)\n\n- [“Why I Think More NLP Researchers Should Engage with AI Safety Concerns](https://wp.nyu.edu/arg/why-ai-safety/) by Sam Bowman (2022)\n\n**Orientation:**\n\n- [AI Safety Info](https://aisafety.info)\n\n- [AI Safety World](http://aisafety.world)\n\n**YouTube:**\n\n- Channels:\n\n - [Robert Miles AI](https://www.youtube.com/@RobertMilesAI)\n\n - [Apart Research](https://www.youtube.com/@apartresearch)\n\n- Specific videos/playlists:\n\n - Computerphile's series with Robert Miles\n\n(youtube)tlS5Y2vm02c&list=PLzH6n4zXuckquVnQ0KlMDxyT5YE-sA8Ps&ab_channel(/youtube)\n\n- [Many more video recommendations](http://aisafety.video/)\n\n**Twitter:**\n\n- [AGI Safety Core](https://twitter.com/i/lists/1185207859728076800)\n\n**Online communities:**\n\n- [AI Alignment Slack](https://bit.ly/3HiXUrv)\n\n- [Alignment Jams](https://discord.gg/dYUWDm7Ben)\n\n- [EleutherAI](https://discord.gg/QnePG589qc)\n\n- [Other AI Safety Communities](https://aisafety.community/)\n\n**Reading lists:**\n\n- [AI Alignment Curriculum](https://www.agisafetyfundamentals.com/ai-alignment-curriculum)\n\n- [AI Safety Gauntlet](https://apartresearch.com/ai-safety-gauntlet)\n\n**Discussion Groups/Forums:**\n\n- [Apart Research](https://apartresearch.com/join)\n\n- [AI Alignment Forum](https://www.alignmentforum.org/posts/FoiiRDC3EhjHx7ayY/introducing-the-ai-alignment-forum-faq)\n\n```" + "Rich Text": "```Sharing high quality information about AI safety can be one of the lowest-effort ways to expose people to the ideas. Be sure to engage with the replies with care and do your research when replying to questions (feel free to add such questions to aisafety.info for our team to work on).\n\n**Top 3:**\n\n- Introduction to AI safety by Robert Miles\n\n\n\n- Rational animations\n\n\n\n- Article from Vox\n\n[The case for taking AI seriously as a threat to humanity](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment)\n\n**For Machine Learning researchers:**\n\n- [More is Different for AI](https://bounded-regret.ghost.io/more-is-different-for-ai/) by Jacob Steinhardt\n\n- [Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0) by Vael Gates (2022)\n\n- [“Why I Think More NLP Researchers Should Engage with AI safety Concerns](https://wp.nyu.edu/arg/why-ai-safety/) by Sam Bowman (2022)\n\n**Orientation:**\n\n- [AI safety Info](https://aisafety.info)\n\n- [AI safety World](http://aisafety.world)\n\n**YouTube:**\n\n- Channels:\n\n - [Robert Miles AI](https://www.youtube.com/@RobertMilesAI)\n\n - [Apart Research](https://www.youtube.com/@apartresearch)\n\n- Specific videos/playlists:\n\n - Computerphile's series with Robert Miles\n\n(youtube)tlS5Y2vm02c&list=PLzH6n4zXuckquVnQ0KlMDxyT5YE-sA8Ps&ab_channel(/youtube)\n\n- [Many more video recommendations](http://aisafety.video/)\n\n**Twitter:**\n\n- [AGI Safety Core](https://twitter.com/i/lists/1185207859728076800)\n\n**Online communities:**\n\n- [AI Alignment Slack](https://bit.ly/3HiXUrv)\n\n- [Alignment Jams](https://discord.gg/dYUWDm7Ben)\n\n- [EleutherAI](https://discord.gg/QnePG589qc)\n\n- [Other AI safety Communities](https://aisafety.community/)\n\n**Reading lists:**\n\n- [AI Alignment Curriculum](https://www.agisafetyfundamentals.com/ai-alignment-curriculum)\n\n- [AI safety Gauntlet](https://apartresearch.com/ai-safety-gauntlet)\n\n**Discussion Groups/Forums:**\n\n- [Apart Research](https://apartresearch.com/join)\n\n- [AI Alignment Forum](https://www.alignmentforum.org/posts/FoiiRDC3EhjHx7ayY/introducing-the-ai-alignment-forum-faq)\n\n```" } }, { @@ -37513,13 +37513,13 @@ "id": "i-ad504e416ada98ed6051463d873f4d65cab482e31183482e03275023ab98ac3b", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-ad504e416ada98ed6051463d873f4d65cab482e31183482e03275023ab98ac3b", - "name": "What is Stampy's AI Safety Info?", + "name": "What is Stampy's AI safety Info?", "index": 309, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-08-06T16:58:50.146Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-ad504e416ada98ed6051463d873f4d65cab482e31183482e03275023ab98ac3b", "values": { - "Edit Answer": "**[What is Stampy's AI Safety Info?](https://docs.google.com/document/d/1kn9Wp8dxxRxUEXPMxsJnlBHhEHRm45fNwlusst8mLyo/edit?usp=drivesdk)**", + "Edit Answer": "**[What is Stampy's AI safety Info?](https://docs.google.com/document/d/1kn9Wp8dxxRxUEXPMxsJnlBHhEHRm45fNwlusst8mLyo/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -37556,7 +37556,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "How can I contribute to Stampy's AI Safety Info?", + "name": "How can I contribute to Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "tableId": "grid-sync-1059-File", "rowId": "i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", @@ -37565,7 +37565,7 @@ ], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What is Stampy's AI Safety Info?\n```", + "All Phrasings": "```What is Stampy's AI safety Info?\n```", "UI ID": "```6436```", "Link": { "@context": "http://schema.org/", @@ -37574,7 +37574,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```This is an open effort to build [a comprehensive FAQ](https://aisafety.info/) about [artificial intelligence existential safety](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence)—the field trying to make sure that, when we build [superintelligent](https://en.wikipedia.org/wiki/Superintelligence) [artificial systems](https://www.alignmentforum.org/tag/ai), they are [aligned](https://intelligence.org/2016/12/28/ai-alignment-why-its-hard-and-where-to-start/) with [human values](https://www.alignmentforum.org/tag/human-values) so that they do things compatible with our survival and flourishing.\n\nThe goals of the project are to:\n\n- Offer a one-stop-shop for high-quality answers to common questions about AI alignment.\n\n - Let people answer questions in a way which scales, freeing up researcher time while allowing more people to learn from a reliable source.\n\n - Make [external resources](https://aisafety.info/?state=6470_) easier to find by having links to them connected to a search engine which gets smarter the more it's used.\n\n- Provide a form of [legitimate peripheral participation](https://en.wikipedia.org/wiki/Legitimate_peripheral_participation) for the AI Safety community, as an on-boarding path with a flexible level of commitment.\n\n - Encourage people to think, read, and talk about AI alignment while answering questions, creating a community of co-learners who can give each other feedback and social reinforcement.\n\n - Provide a way for budding researchers to prove their understanding of the topic and ability to produce good work.\n\n- Collect data about the kinds of questions people actually ask so we can better focus resources on answering them.\n\n - Track reactions so we can learn which answers need work.\n\n - Identify missing content to create.\n\nIf you would like to help out, feel free to join us on the [Discord](https://discord.gg/vjFSCDyMCy) and jump right into editing some [answers](https://coda.io/d/_dfau7sl2hmG/_suYta), or read on for more details about the project.\n\n```" + "Rich Text": "```This is an open effort to build [a comprehensive FAQ](https://aisafety.info/) about [artificial intelligence existential safety](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence)—the field trying to make sure that, when we build [superintelligent](https://en.wikipedia.org/wiki/Superintelligence) [artificial systems](https://www.alignmentforum.org/tag/ai), they are [aligned](https://intelligence.org/2016/12/28/ai-alignment-why-its-hard-and-where-to-start/) with [human values](https://www.alignmentforum.org/tag/human-values) so that they do things compatible with our survival and flourishing.\n\nThe goals of the project are to:\n\n- Offer a one-stop-shop for high-quality answers to common questions about AI alignment.\n\n - Let people answer questions in a way which scales, freeing up researcher time while allowing more people to learn from a reliable source.\n\n - Make [external resources](https://aisafety.info/?state=6470_) easier to find by having links to them connected to a search engine which gets smarter the more it's used.\n\n- Provide a form of [legitimate peripheral participation](https://en.wikipedia.org/wiki/Legitimate_peripheral_participation) for the AI safety community, as an on-boarding path with a flexible level of commitment.\n\n - Encourage people to think, read, and talk about AI alignment while answering questions, creating a community of co-learners who can give each other feedback and social reinforcement.\n\n - Provide a way for budding researchers to prove their understanding of the topic and ability to produce good work.\n\n- Collect data about the kinds of questions people actually ask so we can better focus resources on answering them.\n\n - Track reactions so we can learn which answers need work.\n\n - Identify missing content to create.\n\nIf you would like to help out, feel free to join us on the [Discord](https://discord.gg/vjFSCDyMCy) and jump right into editing some [answers](https://coda.io/d/_dfau7sl2hmG/_suYta), or read on for more details about the project.\n\n```" } }, { @@ -38731,7 +38731,7 @@ }, "Last Asked On Discord": "2023-02-26T19:21:30.218+01:00", "Alternate Phrasings": "```What was the page with the map of AI safety?\nWhat are some AI alignment research agendas currently being pursued?```", - "Rich Text": "```See [this page](/?state=9J1L&question=What%20are%20the%20main%20categories%20of%20technical%20alignment%20research%3F) for an overview of four major types of alignment research: agent foundations, prosaic alignment, interpretability, and brain-based AI.\n\nFollow the links below to explore the research of specific organizations and individuals. See also [(My understanding of) What Everyone in Technical Alignment is Doing and Why](https://www.alignmentforum.org/posts/QBAjndPuFbhEXKcCr/my-understanding-of-what-everyone-in-technical-alignment-is) and the [AI Safety Map](https://aisafety.world/).\n\n- [Aligned AI](/?state=85EM&question=What%20is%20Aligned%20AI's%20research%20agenda%3F) ([website](https://buildaligned.ai/))\n\n- [The Alignment Research Center (ARC)](/?state=85EK&question=What%20is%20the%20Alignment%20Research%20Center%20(ARC)'s%20research%20agenda%3F) ([website](https://www.alignment.org/))\n\n- [Anthropic](/?state=85EI&question=What%20is%20Anthropic's%20alignment%20research%20agenda%3F) ([website](https://www.anthropic.com/))\n\n- [The Association for Long Term Existence and Resilience (ALTER)](/?state=85EH&question=What%20is%20the%20Association%20For%20Long%20Term%20Existence%20And%20Resilience%20(ALTER)'s%20research%20agenda%3F) ([website](https://alter.org.il/))\n\n- [The Cambridge Computational and Biological Learning Lab](/?state=85ED&question=What%20is%20the%20Cambridge%20Computational%20and%20Biological%20Learning%20lab's%20research%20agenda%3F) ([website](http://learning.eng.cam.ac.uk/Public/))\n\n- [The Center for AI Safety (CAIS)](/?state=85EG&question=What%20is%20the%20Center%20for%20AI%20Safety%20(CAIS)'s%20research%20agenda%3F) ([website](https://www.safe.ai/))\n\n- [The Center for Human-Compatible AI (CHAI)](/?state=85EF&question=What%20is%20the%20Center%20for%20Human-Compatible%20AI's%20research%20agenda%3F) ([website](https://humancompatible.ai/))\n\n- [The Center on Long-Term Risk](/?state=8333&question=What%20is%20the%20Center%20on%20Long-Term%20Risk%20(CLR)'s%20research%20agenda%3F) ([website](https://longtermrisk.org/))\n\n- [Conjecture](/?state=85EC&question=What%20is%20Conjecture's%20research%20agenda%3F) ([website](https://www.conjecture.dev/))\n\n- [FAR AI](/?state=85E9&question=What%20is%20FAR%20AI's%20research%20agenda%3F) ([website](https://far.ai/))\n\n- [The Future of Humanity Institute (FHI)](/?state=85E8&question=What%20is%20the%20Future%20of%20Humanity%20Institute's%20research%20agenda%3F) ([website](https://www.fhi.ox.ac.uk/research/research-areas/#aisafety_tab))\n\n- [Google DeepMind](/?state=85EB&question=What%20is%20DeepMind's%20alignment%20research%20agenda%3F) ([website](https://www.deepmind.com/))\n\n- [The Machine Intelligence Research Institute (MIRI)](/?state=85EN&question=What%20is%20the%20Machine%20Intelligence%20Research%20Institute's%20research%20agenda%3F) ([website](https://intelligence.org/))\n\n- [The MIT Algorithmic Alignment Group](/?state=85EL&question=What%20is%20the%20MIT%20Algorithmic%20Alignment%20Group's%20research%20agenda%3F) ([website](https://algorithmicalignment.csail.mit.edu/))\n\n- [The NYU Alignment Research Group](/?state=85EJ&question=What%20is%20the%20NYU%20Alignment%20Research%20Group's%20research%20agenda%3F) ([website](https://wp.nyu.edu/arg/))\n\n- [Obelisk](/?state=1250&question=What%20is%20Obelisk's%20research%20agenda%3F) ([website](https://astera.org/obelisk/))\n\n- [Ought](/?state=8374&question=What%20is%20Ought's%20research%20agenda%3F) ([website](https://ought.org/))\n\n- [OpenAI](/?state=8368&question=What%20is%20OpenAI's%20alignment%20research%20agenda%3F) ([website](https://openai.com/))\n\n- [Redwood Research](/?state=85E4&question=What%20is%20Redwood%20Research's%20agenda%3F) ([website](https://www.redwoodresearch.org/))\n\n```" + "Rich Text": "```See [this page](/?state=9J1L&question=What%20are%20the%20main%20categories%20of%20technical%20alignment%20research%3F) for an overview of four major types of alignment research: agent foundations, prosaic alignment, interpretability, and brain-based AI.\n\nFollow the links below to explore the research of specific organizations and individuals. See also [(My understanding of) What Everyone in Technical Alignment is Doing and Why](https://www.alignmentforum.org/posts/QBAjndPuFbhEXKcCr/my-understanding-of-what-everyone-in-technical-alignment-is) and the [AI safety Map](https://aisafety.world/).\n\n- [Aligned AI](/?state=85EM&question=What%20is%20Aligned%20AI's%20research%20agenda%3F) ([website](https://buildaligned.ai/))\n\n- [The Alignment Research Center (ARC)](/?state=85EK&question=What%20is%20the%20Alignment%20Research%20Center%20(ARC)'s%20research%20agenda%3F) ([website](https://www.alignment.org/))\n\n- [Anthropic](/?state=85EI&question=What%20is%20Anthropic's%20alignment%20research%20agenda%3F) ([website](https://www.anthropic.com/))\n\n- [The Association for Long Term Existence and Resilience (ALTER)](/?state=85EH&question=What%20is%20the%20Association%20For%20Long%20Term%20Existence%20And%20Resilience%20(ALTER)'s%20research%20agenda%3F) ([website](https://alter.org.il/))\n\n- [The Cambridge Computational and Biological Learning Lab](/?state=85ED&question=What%20is%20the%20Cambridge%20Computational%20and%20Biological%20Learning%20lab's%20research%20agenda%3F) ([website](http://learning.eng.cam.ac.uk/Public/))\n\n- [The Center for AI safety (CAIS)](/?state=85EG&question=What%20is%20the%20Center%20for%20AI%20Safety%20(CAIS)'s%20research%20agenda%3F) ([website](https://www.safe.ai/))\n\n- [The Center for Human-Compatible AI (CHAI)](/?state=85EF&question=What%20is%20the%20Center%20for%20Human-Compatible%20AI's%20research%20agenda%3F) ([website](https://humancompatible.ai/))\n\n- [The Center on Long-Term Risk](/?state=8333&question=What%20is%20the%20Center%20on%20Long-Term%20Risk%20(CLR)'s%20research%20agenda%3F) ([website](https://longtermrisk.org/))\n\n- [Conjecture](/?state=85EC&question=What%20is%20Conjecture's%20research%20agenda%3F) ([website](https://www.conjecture.dev/))\n\n- [FAR AI](/?state=85E9&question=What%20is%20FAR%20AI's%20research%20agenda%3F) ([website](https://far.ai/))\n\n- [The Future of Humanity Institute (FHI)](/?state=85E8&question=What%20is%20the%20Future%20of%20Humanity%20Institute's%20research%20agenda%3F) ([website](https://www.fhi.ox.ac.uk/research/research-areas/#aisafety_tab))\n\n- [Google DeepMind](/?state=85EB&question=What%20is%20DeepMind's%20alignment%20research%20agenda%3F) ([website](https://www.deepmind.com/))\n\n- [The Machine Intelligence Research Institute (MIRI)](/?state=85EN&question=What%20is%20the%20Machine%20Intelligence%20Research%20Institute's%20research%20agenda%3F) ([website](https://intelligence.org/))\n\n- [The MIT Algorithmic Alignment Group](/?state=85EL&question=What%20is%20the%20MIT%20Algorithmic%20Alignment%20Group's%20research%20agenda%3F) ([website](https://algorithmicalignment.csail.mit.edu/))\n\n- [The NYU Alignment Research Group](/?state=85EJ&question=What%20is%20the%20NYU%20Alignment%20Research%20Group's%20research%20agenda%3F) ([website](https://wp.nyu.edu/arg/))\n\n- [Obelisk](/?state=1250&question=What%20is%20Obelisk's%20research%20agenda%3F) ([website](https://astera.org/obelisk/))\n\n- [Ought](/?state=8374&question=What%20is%20Ought's%20research%20agenda%3F) ([website](https://ought.org/))\n\n- [OpenAI](/?state=8368&question=What%20is%20OpenAI's%20alignment%20research%20agenda%3F) ([website](https://openai.com/))\n\n- [Redwood Research](/?state=85E4&question=What%20is%20Redwood%20Research's%20agenda%3F) ([website](https://www.redwoodresearch.org/))\n\n```" } }, { @@ -38957,7 +38957,7 @@ }, "Last Asked On Discord": "2023-05-03T11:30:29.852+02:00", "Alternate Phrasings": "", - "Rich Text": "```Terms like these have a fair amount of overlap and aren't always used consistently. The definitions below are how the terms are used on this website, but this isn't an authoritative guide on how these terms should be used:\n\n- **[AI Safety](/?state=8486&question=What%20is%20AI%20safety%3F)**: AI safety generally means *getting AI systems to avoid risks*.[^kix.rq11mrc7khg8] AI safety generally refers to existential risks from AI systems, but sometimes also includes risks that are relevant at lower AI capability levels, such as near-term technical (e.g. self-driving cars) and governance risks. This makes AI safety an umbrella term used to refer to both current and future safety issues. Other terms are used in conjunction with AI safety to identify the specific risk being addressed.\n\n- **AGI Safety**: AGI safety refers to *safety concerns from artificial general intelligence*. It overlaps with AI alignment, in that misalignment would be the main cause of unsafe behavior in AGIs, but also includes misuse and other [governance issues](https://www.alignmentforum.org/tag/ai-governance).\n\n- **AI Existential Safety**: A risk is existential if it is comparable to or greater than human extinction in terms of its moral significance[^kix.5x72oomvsln9]. AI existential safety aims to avoid and mitigate those risks, whether or not the AI possesses an intelligence that is as general or as capable as that of humans.\n\n- **[AI Alignment](https://en.wikipedia.org/wiki/AI_alignment)**: Paul Christiano defines alignment as: “ *…the problem of getting your AI to try to do the right thing, not the problem of figuring out which thing is right. An aligned AI would try to figure out which thing is right, and like a human it may or may not succeed.*”[^kix.ek46h6f6127h] Researchers in AI alignment focus on causing the goals of future superintelligent AI systems to align with [human values](https://www.lesswrong.com/posts/GermiEmcS6xuZ2gBh/what-ai-safety-researchers-have-written-about-the-nature-of). If aligned, [AIs](https://www.alignmentforum.org/tag/ai)/[AGIs](https://www.alignmentforum.org/tag/artificial-general-intelligence)/[Artificial Superintelligence (ASI)](https://www.alignmentforum.org/tag/superintelligence) would behave in a way that is compatible with human survival and flourishing. Alignment research is interdisciplinary and can include computer science, mathematics, neuroscience, philosophy, and social sciences. Some places (e.g. the [Alignment Forum](https://www.alignmentforum.org/)) use the term AI alignment to mean the project of AI existential safety or “making AI go well”, including governance and excluding non-existentially risky misalignment.\n\n- **[AI Control](https://ai-alignment.com/ai-safety-vs-control-vs-alignment-2a4b42a863cc)**: This is an older and less commonly used term, and it often refers to [roughly the same set of problems as AI alignment](https://ai-alignment.com/security-and-ai-control-675ace05ce31)[^kix.p669chvzh0db]: ensuring that AI systems try to do the right thing, and in particular that they don’t competently pursue the wrong thing. Some consider alignment to be a method to achieve AI control (focused on making sure that AI always tries to do what we want) along with other methods like tripwires and AI boxing (focused on making sure that AI cannot do something we don’t want even if it is misaligned). \n \n\n- **[AI Governance](https://forum.effectivealtruism.org/topics/ai-governance)**: AI governance refers to *identifying and enforcing norms for AI developers and AI systems themselves to follow.*[^kix.euretahit9hf] AI governance is often paired with AI safety. Both have the goal of helping humanity develop beneficial AI. AI safety focuses on the technical questions of how AI is built; AI governance focuses on the institutions and contexts in which AI is built and used.[^kix.rnt5dx54p23z] The question of which principles should be enforced often opens up debates about safety and ethics. The conversations in governance are a bit more action-oriented than purely ethical debates. AI governance includes a broad range of subjects, from global coordination around regulating AI development to providing incentives for corporations to be more cautious in their AI research.\n\n- **[Friendly AI](https://arbital.greaterwrong.com/p/FAI)** **(FAI)**: This is an older term coined and popularized by Eliezer Yudkowsky. FAI is a subset of all possible AGIs that includes those that help humans flourish while following some idealized version of human values such as [Coherent Extrapolated Volition](/?state=6939&question=What%20is%20%22coherent%20extrapolated%20volition%20(CEV)%22%3F). In recent years, the term “aligned AI” is more often used to refer to this concept. \n\n- **[AI Ethics](https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence)**: Andrew Critch defines AI ethics as referring to *principles that AI developers and systems should follow*.[^kix.gwv7ghbj5thw] In the general sense, AI ethics focuses on ensuring that in our attempt to harness this technology for good, we appropriately assess its potential for societal harm. In practice the term usually refers to a cluster of concerns that include preventing and [mitigating algorithmic bias](/?state=8NYD&question=Isn't%20the%20real%20concern%20bias%3F), having generative algorithms properly compensate the artists and authors they [emulate](https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem), and ensuring the [transparency](https://hbr.org/2022/06/building-transparency-into-ai-projects) of the models being used to make societal decisions. In this sense, AI Ethics often refers to concerns for existing technology with limited scopes whereas most of the terms above refer to future AIs with potentially world-altering scopes. \n\nMany of these definitions overlap, in part because the meanings of some of these terms have drifted over time. Some people have attempted to resort to “[AI notkilleveryoneism](https://twitter.com/ESYudkowsky/status/1612364482608795650)” to mitigate this dilution and distortion of terms, but this tongue-in-cheek term has not been widely adopted in serious work for obvious reasons.\n\n[^kix.rq11mrc7khg8]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_safety__definition_)\n[^kix.rnt5dx54p23z]: Dafoe, Allan (2017). [AI Governance: A Research Agenda](https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf)\n[^kix.gwv7ghbj5thw]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_ethics__definition_)\n[^kix.euretahit9hf]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_governance__definition_)\n[^kix.ek46h6f6127h]: Paul Christiano (2018). [Clarifying “AI alignment”](https://ai-alignment.com/clarifying-ai-alignment-cec47cd69dd6)\n[^kix.p669chvzh0db]: Paul Christiano (2016). [AI “safety” vs “control” vs “alignment”](https://ai-alignment.com/ai-safety-vs-control-vs-alignment-2a4b42a863cc)\n[^kix.5x72oomvsln9]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_existential_safety__definition_ai-research-areas-and-their-relevance-to-existential-1#AI_existential_safety__definition_)```" + "Rich Text": "```Terms like these have a fair amount of overlap and aren't always used consistently. The definitions below are how the terms are used on this website, but this isn't an authoritative guide on how these terms should be used:\n\n- **[AI safety](/?state=8486&question=What%20is%20AI%20safety%3F)**: AI safety generally means *getting AI systems to avoid risks*.[^kix.rq11mrc7khg8] AI safety generally refers to existential risks from AI systems, but sometimes also includes risks that are relevant at lower AI capability levels, such as near-term technical (e.g. self-driving cars) and governance risks. This makes AI safety an umbrella term used to refer to both current and future safety issues. Other terms are used in conjunction with AI safety to identify the specific risk being addressed.\n\n- **AGI Safety**: AGI safety refers to *safety concerns from artificial general intelligence*. It overlaps with AI alignment, in that misalignment would be the main cause of unsafe behavior in AGIs, but also includes misuse and other [governance issues](https://www.alignmentforum.org/tag/ai-governance).\n\n- **AI Existential Safety**: A risk is existential if it is comparable to or greater than human extinction in terms of its moral significance[^kix.5x72oomvsln9]. AI existential safety aims to avoid and mitigate those risks, whether or not the AI possesses an intelligence that is as general or as capable as that of humans.\n\n- **[AI Alignment](https://en.wikipedia.org/wiki/AI_alignment)**: Paul Christiano defines alignment as: “ *…the problem of getting your AI to try to do the right thing, not the problem of figuring out which thing is right. An aligned AI would try to figure out which thing is right, and like a human it may or may not succeed.*”[^kix.ek46h6f6127h] Researchers in AI alignment focus on causing the goals of future superintelligent AI systems to align with [human values](https://www.lesswrong.com/posts/GermiEmcS6xuZ2gBh/what-ai-safety-researchers-have-written-about-the-nature-of). If aligned, [AIs](https://www.alignmentforum.org/tag/ai)/[AGIs](https://www.alignmentforum.org/tag/artificial-general-intelligence)/[Artificial Superintelligence (ASI)](https://www.alignmentforum.org/tag/superintelligence) would behave in a way that is compatible with human survival and flourishing. Alignment research is interdisciplinary and can include computer science, mathematics, neuroscience, philosophy, and social sciences. Some places (e.g. the [Alignment Forum](https://www.alignmentforum.org/)) use the term AI alignment to mean the project of AI existential safety or “making AI go well”, including governance and excluding non-existentially risky misalignment.\n\n- **[AI Control](https://ai-alignment.com/ai-safety-vs-control-vs-alignment-2a4b42a863cc)**: This is an older and less commonly used term, and it often refers to [roughly the same set of problems as AI alignment](https://ai-alignment.com/security-and-ai-control-675ace05ce31)[^kix.p669chvzh0db]: ensuring that AI systems try to do the right thing, and in particular that they don’t competently pursue the wrong thing. Some consider alignment to be a method to achieve AI control (focused on making sure that AI always tries to do what we want) along with other methods like tripwires and AI boxing (focused on making sure that AI cannot do something we don’t want even if it is misaligned). \n \n\n- **[AI Governance](https://forum.effectivealtruism.org/topics/ai-governance)**: AI governance refers to *identifying and enforcing norms for AI developers and AI systems themselves to follow.*[^kix.euretahit9hf] AI governance is often paired with AI safety. Both have the goal of helping humanity develop beneficial AI. AI safety focuses on the technical questions of how AI is built; AI governance focuses on the institutions and contexts in which AI is built and used.[^kix.rnt5dx54p23z] The question of which principles should be enforced often opens up debates about safety and ethics. The conversations in governance are a bit more action-oriented than purely ethical debates. AI governance includes a broad range of subjects, from global coordination around regulating AI development to providing incentives for corporations to be more cautious in their AI research.\n\n- **[Friendly AI](https://arbital.greaterwrong.com/p/FAI)** **(FAI)**: This is an older term coined and popularized by Eliezer Yudkowsky. FAI is a subset of all possible AGIs that includes those that help humans flourish while following some idealized version of human values such as [Coherent Extrapolated Volition](/?state=6939&question=What%20is%20%22coherent%20extrapolated%20volition%20(CEV)%22%3F). In recent years, the term “aligned AI” is more often used to refer to this concept. \n\n- **[AI Ethics](https://en.wikipedia.org/wiki/Ethics_of_artificial_intelligence)**: Andrew Critch defines AI ethics as referring to *principles that AI developers and systems should follow*.[^kix.gwv7ghbj5thw] In the general sense, AI ethics focuses on ensuring that in our attempt to harness this technology for good, we appropriately assess its potential for societal harm. In practice the term usually refers to a cluster of concerns that include preventing and [mitigating algorithmic bias](/?state=8NYD&question=Isn't%20the%20real%20concern%20bias%3F), having generative algorithms properly compensate the artists and authors they [emulate](https://hbr.org/2023/04/generative-ai-has-an-intellectual-property-problem), and ensuring the [transparency](https://hbr.org/2022/06/building-transparency-into-ai-projects) of the models being used to make societal decisions. In this sense, AI Ethics often refers to concerns for existing technology with limited scopes whereas most of the terms above refer to future AIs with potentially world-altering scopes. \n\nMany of these definitions overlap, in part because the meanings of some of these terms have drifted over time. Some people have attempted to resort to “[AI notkilleveryoneism](https://twitter.com/ESYudkowsky/status/1612364482608795650)” to mitigate this dilution and distortion of terms, but this tongue-in-cheek term has not been widely adopted in serious work for obvious reasons.\n\n[^kix.rq11mrc7khg8]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_safety__definition_)\n[^kix.rnt5dx54p23z]: Dafoe, Allan (2017). [AI Governance: A Research Agenda](https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf)\n[^kix.gwv7ghbj5thw]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_ethics__definition_)\n[^kix.euretahit9hf]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_governance__definition_)\n[^kix.ek46h6f6127h]: Paul Christiano (2018). [Clarifying “AI alignment”](https://ai-alignment.com/clarifying-ai-alignment-cec47cd69dd6)\n[^kix.p669chvzh0db]: Paul Christiano (2016). [AI “safety” vs “control” vs “alignment”](https://ai-alignment.com/ai-safety-vs-control-vs-alignment-2a4b42a863cc)\n[^kix.5x72oomvsln9]: Critch, Andrew (2020). [Some AI research areas and their relevance to existential safety](https://www.alignmentforum.org/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1#AI_existential_safety__definition_ai-research-areas-and-their-relevance-to-existential-1#AI_existential_safety__definition_)```" } }, { @@ -40248,20 +40248,20 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```What is AI risk?\n```", - "Rich Text": "```"AI safety" refers to efforts to prevent artificial intelligence from causing harm[^kix.lw3xja51y1rp]. This site focuses on powerful future AI systems pursuing goals in conflict with human flourishing, because these systems may end up in control of the world and pose an existential risk to humanity.\n\nAI safety is closely related to [AI alignment](/?state=8EL9&question=What%20is%20AI%20alignment%3F), which refers to ensuring that AI systems pursue the goals we want them to.[^kix.b5o920ap7ucb]\n\nOngoing work in AI safety can be roughly categorized into:\n\n- [AI alignment research](/?state=9J1L&question=What%20are%20the%20main%20categories%20of%20technical%20alignment%20research%3F): Technical and conceptual research focused on getting AI systems to do what we want them to do\n\n- [AI policy and governance](/?state=MQSD&question=What%20are%20the%20key%20problems%20in%20AI%20governance%3F): Setting up institutions and mechanisms that cause the major actors to implement good AI safety practices\n\n- [AI strategy and forecasting](/?state=MSJJ&question=What%20models%20and%20predictions%20have%20been%20made%20about%20the%20future%20of%20advanced%20AI%3F): Building good models of how AI will develop and how our actions can make it go better \n\n\n\n[^kix.b5o920ap7ucb]: While we expect misalignment to be the greatest obstacle to AI safety, alignment and safety are conceptually distinct. A misaligned system can be safe if it’s [not particularly capable](https://decrypt.co/126122/meet-chaos-gpt-ai-tool-destroy-humanity), if we [manage to](/?state=8E3Z&question=Can't%20we%20limit%20damage%20from%20AI%20systems%20in%20the%20same%20ways%20we%20limit%20damage%20from%20companies%3F) [contain it](/?state=8AEV&question=Why%20can't%20we%20just%20build%20an%20%22oracle%20AI%22%20whose%20only%20goal%20is%20to%20answer%20questions%3F), if it’s [never used anywhere it could be dangerous](https://arbital.greaterwrong.com/p/safe_useless/), or if it’s [never built at all](/?state=7148&question=Why%20don't%20we%20just%20not%20build%20AGI%20if%20it's%20so%20dangerous%3F). Conversely, an AI system used by terrorists to design bioweapons would be highly unsafe despite being aligned with its users.\n[^kix.lw3xja51y1rp]: The terms “AI safety” and “AI risk” are mostly used in the context of existential risk. "AI safety" is sometimes also used more broadly to include work on reducing harms from current AI systems. While people sometimes use “AI safety” and “AI alignment” interchangeably to refer to the general set of problems around smarter-than-human AI, they occasionally use “AI existential safety” to make it clear that they mean risks to all of human civilization, or “AGI safety” to make it clear that they mean risks from future generally intelligent systems.```" + "Rich Text": "```"AI safety" refers to efforts to prevent artificial intelligence from causing harm[^kix.lw3xja51y1rp]. This site focuses on powerful future AI systems pursuing goals in conflict with human flourishing, because these systems may end up in control of the world and pose an existential risk to humanity.\n\nAI safety is closely related to [AI alignment](/?state=8EL9&question=What%20is%20AI%20alignment%3F), which refers to ensuring that AI systems pursue the goals we want them to.[^kix.b5o920ap7ucb]\n\nOngoing work in AI safety can be roughly categorized into:\n\n- [AI alignment research](/?state=9J1L&question=What%20are%20the%20main%20categories%20of%20technical%20alignment%20research%3F): Technical and conceptual research focused on getting AI systems to do what we want them to do\n\n- [AI policy and governance](/?state=MQSD&question=What%20are%20the%20key%20problems%20in%20AI%20governance%3F): Setting up institutions and mechanisms that cause the major actors to implement good AI safety practices\n\n- [AI strategy and forecasting](/?state=MSJJ&question=What%20models%20and%20predictions%20have%20been%20made%20about%20the%20future%20of%20advanced%20AI%3F): Building good models of how AI will develop and how our actions can make it go better \n\n\n\n[^kix.b5o920ap7ucb]: While we expect misalignment to be the greatest obstacle to AI safety, alignment and safety are conceptually distinct. A misaligned system can be safe if it’s [not particularly capable](https://decrypt.co/126122/meet-chaos-gpt-ai-tool-destroy-humanity), if we [manage to](/?state=8E3Z&question=Can't%20we%20limit%20damage%20from%20AI%20systems%20in%20the%20same%20ways%20we%20limit%20damage%20from%20companies%3F) [contain it](/?state=8AEV&question=Why%20can't%20we%20just%20build%20an%20%22oracle%20AI%22%20whose%20only%20goal%20is%20to%20answer%20questions%3F), if it’s [never used anywhere it could be dangerous](https://arbital.greaterwrong.com/p/safe_useless/), or if it’s [never built at all](/?state=7148&question=Why%20don't%20we%20just%20not%20build%20AGI%20if%20it's%20so%20dangerous%3F). Conversely, an AI system used by terrorists to design bioweapons would be highly unsafe despite being aligned with its users.\n[^kix.lw3xja51y1rp]: The terms “AI safety” and “AI risk” are mostly used in the context of existential risk. "AI safety" is sometimes also used more broadly to include work on reducing harms from current AI systems. While people sometimes use “AI safety” and “AI alignment” interchangeably to refer to the general set of problems around smarter-than-human AI, they occasionally use “AI existential safety” to make it clear that they mean risks to all of human civilization, or “AGI safety” to make it clear that they mean risks from future generally intelligent systems.```" } }, { "id": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "index": 350, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-09-10T12:06:48.783Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "values": { - "Edit Answer": "**[What is AI Safety via Debate?](https://docs.google.com/document/d/16OjPU5uUym3WnKoDf1n3OAriA4uHqHsCORkABNHVdWs/edit?usp=drivesdk)**", + "Edit Answer": "**[What is AI safety via Debate?](https://docs.google.com/document/d/16OjPU5uUym3WnKoDf1n3OAriA4uHqHsCORkABNHVdWs/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -40326,7 +40326,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What is AI Safety via Debate?\n```", + "All Phrasings": "```What is AI safety via Debate?\n```", "UI ID": "```8201```", "Link": { "@context": "http://schema.org/", @@ -42999,7 +42999,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```The [Center for AI Safety (CAIS)](https://www.safe.ai/)[^kix.iggljs5ofkpf] is a San Francisco-based research non-profit that "focuses on mitigating high-consequence, societal-scale risks posed by AI". It pursues [technical research](https://www.safe.ai/research#technical-ml-research) aimed at improving the safety of existing AI systems, as well as multi-disciplinary [conceptual research](https://www.safe.ai/research#conceptual-research) aimed at framing and clarifying [problems and approaches within AI safety](https://arxiv.org/abs/2109.13916).\n\nCAIS also works on field-building to help support and expand the AI safety research community. Its field-building projects include:\n\n- The [CAIS Compute Cluster](https://www.safe.ai/compute-cluster), which offers compute for AI safety research\n\n- The [CAIS Philosophy Fellowship](https://philosophy.safe.ai/)\n\n- Offering prize incentives for safety-relevant research such as improving [ML safety benchmarks](https://benchmarking.mlsafety.org/), [moral uncertainty detection](https://moraluncertainty.mlsafety.org/) by ML systems, and [forecasting](https://forecasting.mlsafety.org/) by ML systems\n\n- Offering an [ML Safety course](https://course.mlsafety.org/about) and [scholarships](https://www.mlsafety.org/safety-scholarship) for ML students doing safety-related research\n\n[^kix.iggljs5ofkpf]: Not to be confused with [Comprehensive AI Services](https://www.fhi.ox.ac.uk/wp-content/uploads/Reframing_Superintelligence_FHI-TR-2019-1.1-1.pdf), a conceptual model of artificial general intelligence proposed by Eric Drexler, also usually abbreviated CAIS.```" + "Rich Text": "```The [Center for AI safety (CAIS)](https://www.safe.ai/)[^kix.iggljs5ofkpf] is a San Francisco-based research non-profit that "focuses on mitigating high-consequence, societal-scale risks posed by AI". It pursues [technical research](https://www.safe.ai/research#technical-ml-research) aimed at improving the safety of existing AI systems, as well as multi-disciplinary [conceptual research](https://www.safe.ai/research#conceptual-research) aimed at framing and clarifying [problems and approaches within AI safety](https://arxiv.org/abs/2109.13916).\n\nCAIS also works on field-building to help support and expand the AI safety research community. Its field-building projects include:\n\n- The [CAIS Compute Cluster](https://www.safe.ai/compute-cluster), which offers compute for AI safety research\n\n- The [CAIS Philosophy Fellowship](https://philosophy.safe.ai/)\n\n- Offering prize incentives for safety-relevant research such as improving [ML safety benchmarks](https://benchmarking.mlsafety.org/), [moral uncertainty detection](https://moraluncertainty.mlsafety.org/) by ML systems, and [forecasting](https://forecasting.mlsafety.org/) by ML systems\n\n- Offering an [ML Safety course](https://course.mlsafety.org/about) and [scholarships](https://www.mlsafety.org/safety-scholarship) for ML students doing safety-related research\n\n[^kix.iggljs5ofkpf]: Not to be confused with [Comprehensive AI Services](https://www.fhi.ox.ac.uk/wp-content/uploads/Reframing_Superintelligence_FHI-TR-2019-1.1-1.pdf), a conceptual model of artificial general intelligence proposed by Eric Drexler, also usually abbreviated CAIS.```" } }, { @@ -43137,7 +43137,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "```How can AI risk be divided into accident, misuse, and other categories?\n```", - "Rich Text": "```**Misuse risk** includes things like [autonomous weapons](/?state=6411&question=Isn't%20the%20real%20concern%20autonomous%20weapons%3F) and [invasive surveillance](/?state=6409&question=Isn't%20the%20real%20concern%20AI-enabled%20authoritarianism%3F). These [are real problems,](/?state=1001&question=What%20about%20other%20risks%20from%20AI%3F) but do not necessarily pose an [existential risk](/?state=89LL&question=What%20are%20existential%20risks%20(x-risks)%3F) on their own[^kix.7g95965ic4lz].\n\n**Accident risk** (the one this website is most focused on) is that even if designed and used with the best intent, an AI might still cause harm for a few reasons, which include:\n\n1. [Reward misspecification](/?state=8QZG&question=What%20is%20%22reward%20misspecification%22%3F): We might give it incomplete instructions. For example, [design it to make stamps](https://www.youtube.com/watch?v=tcdVC4e6EV4), but neglect to instruct it to avoid some class of unwanted side effects, such as harming people along the way.\n\n1. [Goal misgeneralization](/?state=8QZI&question=What%20is%20goal%20misgeneralization%3F): We might give it a goal which is close to what we want, but when it operates in the real world – outside of its training conditions – it might act in [unexpected ways](https://arbital.com/p/missing_weird/). As an analogy, if we try to teach someone to not steal by punishing them when they are caught, they might think that the goal is not to be caught, rather than not to steal.\n\n1. [Instrumentally convergent goals](/?state=897I&question=What%20is%20instrumental%20convergence%3F): There are [many potentially dangerous intermediate goals](/?state=6212&question=How%20could%20poorly%20defined%20goals%20lead%20to%20such%20negative%20outcomes%3F) that an AI could find useful for whatever specific end goals it has, e.g.\n\n - [Deception](/?state=8EL6&question=What%20is%20deceptive%20alignment%3F): The AI might act as if it is aligned with our preferences, to prevent us from shutting it down or reprogramming it, until it is powerful enough to achieve its actual, hidden goal.\n\n - Power seeking: The AI might try to gain power in dangerous ways, since that would be useful for any goal that it has.\n\nThe general intuition behind many of these examples is that the AI is not harming people because it hates them. Rather, it has some goal which is indifferent to human well-being, and people might get in the way of it achieving this goal. For more examples, see [Concrete Problems in AI Safety](https://arxiv.org/abs/1606.06565).\n\n[^kix.7g95965ic4lz]: However, they could be part of a broader existential risk. For example, surveillance could be a part of totalitarian lock-in, and advanced autonomous weapons could have a mutually assured destruction dynamic, which poses an existential risk similar to the current risks of global thermonuclear war.```" + "Rich Text": "```**Misuse risk** includes things like [autonomous weapons](/?state=6411&question=Isn't%20the%20real%20concern%20autonomous%20weapons%3F) and [invasive surveillance](/?state=6409&question=Isn't%20the%20real%20concern%20AI-enabled%20authoritarianism%3F). These [are real problems,](/?state=1001&question=What%20about%20other%20risks%20from%20AI%3F) but do not necessarily pose an [existential risk](/?state=89LL&question=What%20are%20existential%20risks%20(x-risks)%3F) on their own[^kix.7g95965ic4lz].\n\n**Accident risk** (the one this website is most focused on) is that even if designed and used with the best intent, an AI might still cause harm for a few reasons, which include:\n\n1. [Reward misspecification](/?state=8QZG&question=What%20is%20%22reward%20misspecification%22%3F): We might give it incomplete instructions. For example, [design it to make stamps](https://www.youtube.com/watch?v=tcdVC4e6EV4), but neglect to instruct it to avoid some class of unwanted side effects, such as harming people along the way.\n\n1. [Goal misgeneralization](/?state=8QZI&question=What%20is%20goal%20misgeneralization%3F): We might give it a goal which is close to what we want, but when it operates in the real world – outside of its training conditions – it might act in [unexpected ways](https://arbital.com/p/missing_weird/). As an analogy, if we try to teach someone to not steal by punishing them when they are caught, they might think that the goal is not to be caught, rather than not to steal.\n\n1. [Instrumentally convergent goals](/?state=897I&question=What%20is%20instrumental%20convergence%3F): There are [many potentially dangerous intermediate goals](/?state=6212&question=How%20could%20poorly%20defined%20goals%20lead%20to%20such%20negative%20outcomes%3F) that an AI could find useful for whatever specific end goals it has, e.g.\n\n - [Deception](/?state=8EL6&question=What%20is%20deceptive%20alignment%3F): The AI might act as if it is aligned with our preferences, to prevent us from shutting it down or reprogramming it, until it is powerful enough to achieve its actual, hidden goal.\n\n - Power seeking: The AI might try to gain power in dangerous ways, since that would be useful for any goal that it has.\n\nThe general intuition behind many of these examples is that the AI is not harming people because it hates them. Rather, it has some goal which is indifferent to human well-being, and people might get in the way of it achieving this goal. For more examples, see [Concrete Problems in AI safety](https://arxiv.org/abs/1606.06565).\n\n[^kix.7g95965ic4lz]: However, they could be part of a broader existential risk. For example, surveillance could be a part of totalitarian lock-in, and advanced autonomous weapons could have a mutually assured destruction dynamic, which poses an existential risk similar to the current risks of global thermonuclear war.```" } }, { @@ -43370,13 +43370,13 @@ "id": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "index": 400, "createdAt": "2023-01-19T13:04:16.454Z", "updatedAt": "2023-09-15T09:07:15.699Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "values": { - "Edit Answer": "**[Where can I find videos about AI Safety?](https://docs.google.com/document/d/1vDWLKPvJNo0k9IwMPvduO23_CXOdMpxn0aRDnvrL0yw/edit?usp=drivesdk)**", + "Edit Answer": "**[Where can I find videos about AI safety?](https://docs.google.com/document/d/1vDWLKPvJNo0k9IwMPvduO23_CXOdMpxn0aRDnvrL0yw/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -43442,7 +43442,7 @@ ], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Where can I find videos about AI Safety?\n```", + "All Phrasings": "```Where can I find videos about AI safety?\n```", "UI ID": "```2222```", "Link": { "@context": "http://schema.org/", @@ -43451,7 +43451,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```*Also available at* *[aisafety.video](https://aisafety.video)*\n\n## Generally good sources\n\n### Videos\n\n- [Robert Miles AI Safety](https://www.youtube.com/c/RobertMilesAI) (and Rob's videos on [Computerphile](https://www.youtube.com/playlist?list=PLzH6n4zXuckquVnQ0KlMDxyT5YE-sA8Ps))\n\n- [Centre for the Governance of AI (GovAI)](https://www.youtube.com/@centreforthegovernanceofai6615)\n\n- [Apart - Safe AI](https://www.youtube.com/channel/UCnfBOJnTkE9sgjMOOsQbi2w/)\n\n- [Neel Nanda](https://www.youtube.com/@neelnanda2469)\n\n- [Center for AI Safety](https://www.youtube.com/channel/UCY_K5gXsXHtuiP8mj3BiWxA/videos)\n\n- [Towards Data Science](https://www.youtube.com/c/TowardsDataScience/videos)\n\n- [The Inside View](https://www.youtube.com/c/TheInsideView)\n\n- [Future of Life Institute](https://www.youtube.com/channel/UC-rCCy3FQ-GItDimSR9lhzw/videos)\n\n- [SERI](https://www.youtube.com/channel/UC_UHeaVeJoI7NGUSXqpBIiQ/videos)\n\n- [CERI](https://www.youtube.com/@cambridgeexistentialrisksi9588)\n\n- [AI Safety Talks](https://www.youtube.com/@aisafetytalks/featured) (and its [playlists](https://www.youtube.com/@aisafetytalks/playlists))\n\n- [AI Safety Reading Group](https://www.youtube.com/@aisafetyreadinggroup)\n\n- [Mechanistic Interpretability](https://www.youtube.com/@mechanisticinterpretabilit5092/)\n\n- [Intro to ML Safety](https://www.youtube.com/@introtomlsafety/videos)\n\n- [AGI safety talks from AGISF](https://www.agisafetyfundamentals.com/agi-safety-talks)\n\n- [AISS discussion days](https://www.aisafetysupport.org/events/discussion-days) and [AISS YouTube](https://www.youtube.com/@aiss8214)\n\n- [Victoria Krakovna AI talks](https://vkrakovna.wordpress.com/talks/)\n\n- [Jack Parker](https://www.youtube.com/channel/UCsLNgZySqFN4ybdEma0XCRg/videos)\n\n- [PIBBSS](https://www.youtube.com/@pibbssfellowship1034/videos)\n\n- [MIRI](https://www.youtube.com/@MIRIBerkeley)\n\n- [The Future Society](https://www.youtube.com/@thefuturesoc)\n\n- [Cooperative AI Foundation](https://www.youtube.com/@CooperativeAIFoundation/)\n\n- [Quantified Uncertainty Research Institute](https://www.youtube.com/@quantifieduncertainty)\n\n- [Singular Learning Theory Summit](https://www.youtube.com/@SLTSummit/playlists)\n\n- **Other languages**: [Karl Olsberg](https://www.youtube.com/@KarlOlsbergAutor/videos) (German)\n\n- **Relevant, but less focused on AI existential risk**: [Kurzgesagt](https://www.youtube.com/c/inanutshell), [Rational Animations](https://www.youtube.com/c/RationalAnimations), [Centre for Effective Altruism](https://www.youtube.com/c/EffectiveAltruismVideos), [Future of Humanity Institute](https://www.youtube.com/user/FHIOxford/videos), [Center for Security and Emerging Technology](https://www.youtube.com/@centerforsecurityandemergi9211), [CSER](https://www.youtube.com/c/CSERCambridge/videos), [SSC meetups](https://www.youtube.com/watch?v=Wn2vgQGNI_c&list=PLFDYxsqlH6uhSghWfsuEAiKDfZNVZhUOX), [Foresight Institute](https://www.youtube.com/@ForesightInstitute), [Science, Technology & the Future](https://www.youtube.com/@scfu), [Berkman Klein Center](https://www.youtube.com/@BKCHarvard), [Schwartz Reisman Institute](https://www.youtube.com/@SchwartzReismanInstitute), [Stanford HAI](https://www.youtube.com/@stanfordhai7626), [Carper AI](https://www.youtube.com/@carperai3790), [Lex Fridman](https://www.youtube.com/@lexfridman), [Digital Humanism](https://www.youtube.com/@DigitalHumanism/), [Cognitive Revolution Podcast](https://www.youtube.com/@CognitiveRevolutionPodcast/), [NIST AI Metrology Colloquia Series](https://www.nist.gov/node/1698041/ai-metrology-colloquia-series)\n\n- **AI content without much AI safety**: [AI Explained](https://www.youtube.com/@ai-explained-/), [Edan Meyer](https://www.youtube.com/@EdanMeyer/videos), [Yannic Kilcher](https://www.youtube.com/c/YannicKilcher?app=desktop), [Mutual Information](https://www.youtube.com/@Mutual_Information/), [Computerphile](https://www.youtube.com/@Computerphile), [CodeEmporium](https://www.youtube.com/@CodeEmporium), [Andrej Karpathy](https://www.youtube.com/@AndrejKarpathy), [sentdex](https://www.youtube.com/@sentdex), [nPlan](https://www.youtube.com/@nPlan/), [Jay Alammar](https://www.youtube.com/@ai_io), [Assembly AI](https://www.youtube.com/@AssemblyAI), [Aleksa Gordić](https://www.youtube.com/@TheAIEpiphany), [Simons Institute](https://www.youtube.com/@SimonsInstituteTOC/), [2 Minute Papers](https://www.youtube.com/c/KárolyZsolnai/videos), [Machine Learning Street Talk](https://www.youtube.com/@MachineLearningStreetTalk), [ColdFusion](https://www.youtube.com/@ColdFusion/), [HuggingFace](https://www.youtube.com/@HuggingFace), [AI Coffee Break](https://www.youtube.com/@AICoffeeBreak), [Alex Smola](https://www.youtube.com/@smolix/), [Welcome AI Overlords](https://www.youtube.com/@welcomeaioverlords/), [Valence Discovery](https://www.youtube.com/@valencediscovery6139/), [The Alan Turing Institute](https://www.youtube.com/@TheAlanTuringInstituteUK/), [Jordan Harrod](https://www.youtube.com/@JordanHarrod), [Cambridge Ellis Unit](https://www.youtube.com/@ellisunit8739), [Weights & Biases](https://www.youtube.com/c/WeightsBiases), [UCL CSML Seminar Series](https://www.youtube.com/@deepmindellisuclcsmlsemina3383/), [Harvard Medical AI](https://www.youtube.com/@harvard-medicalai-rajpurkarlab), [IARAI](https://www.youtube.com/@iarai/), [Alfredo Canziani](https://www.youtube.com/@alfcnz), [Andreas Geiger](https://www.youtube.com/@cvlibs/), [CMU AI Seminar](https://www.youtube.com/@cmuaiseminar1950/), [Jeremy Howard](https://www.youtube.com/@howardjeremyp/), [Google Research](https://www.youtube.com/@GoogleResearch/), [AI for Good](https://www.youtube.com/@AIforGood/), [IPAM UCLA](https://www.youtube.com/@IPAMUCLA), [One world theoretical ML](https://www.youtube.com/@oneworldtheoreticalmachine110), [What's AI](https://www.youtube.com/@WhatsAI/), [Stanford MedAI](https://www.youtube.com/@stanfordmedai1263), [MILA neural scaling seminars](https://sites.google.com/view/nsl-course/invited-talks), [Digital Engine](https://www.youtube.com/@DigitalEngine/) (sometimes misleading), [Steve Brunton](https://www.youtube.com/@Eigensteve/), [PyTorch](https://www.youtube.com/@PyTorch/), [What's AI by Louis Bouchard](https://www.youtube.com/@WhatsAI/), [Eye on AI](https://www.youtube.com/@eyeonai3425), [Super Data Science](https://www.youtube.com/@SuperDataScienceWithJonKrohn/), [Waterloo AI](https://www.youtube.com/@waterlooai/), [Matt Wolfe](https://www.youtube.com/@mreflow), [DeepLearningAI](https://www.youtube.com/@Deeplearningai/), [TechTechPotato](https://www.youtube.com/c/TechTechPotato), [Asianometry](https://www.youtube.com/c/Asianometry)\n\n### Lists\n\n- **[AI Alignment YouTube Playlists](https://www.lesswrong.com/posts/tas3QZfKm4bdnAWsZ/ai-alignment-youtube-playlists)** – excellent resource. [Slide-light](https://www.youtube.com/playlist?list=PLTYHZYmxohXp0xvVJmMmpT_eFJovlzn0l) ([reordered](https://www.youtube.com/playlist?list=PLCRVRLd2RhZTpdUdEzJjo3qhmX3y3skWA)) and [slide-heavy](https://www.youtube.com/playlist?list=PLTYHZYmxohXpn5uf8JZ2OouB1PsDJAk-x) playlists.\n\n- [the gears to ascenscion](https://www.lesswrong.com/posts/rKmojEZ9qKwApjCfX/the-gears-to-ascenscion-s-shortform?commentId=jmWL85bGWpJmPJYzW) lists many channels for understanding current capabilities trends\n\n- [AI Safety Support "Lots of Links": Videos](https://www.aisafetysupport.org/resources/lots-of-links#h.6s2gcz1p5l6z)\n\n- [A ranked list of all EA-relevant documentaries movies and TV | Brian Tan on EAF](https://forum.effectivealtruism.org/posts/b4YW4GJR2RasS4YEw/a-ranked-list-of-all-ea-relevant-documentaries-movies-and-tv#AI_Safety___Risks) (“AI Safety / Risks” section)\n\n- [San Francisco Alignment Workshop 2023](https://www.alignment-workshop.com/)\n\n- [Towards AGI: Scaling, Alignment & Emergent Behaviors in Neural Nets](https://sites.google.com/view/towards-agi-course/topicspapers?authuser=0)\n\n## Specific suggestions\n\nNote that:\n\n- I haven’t watched all of these videos. Feel free to comment with more recommendations!\n\n- This list does not focus on podcasts, although there are a few podcast recommendations.\n\n### Introductory\n\n- See also [AI safety intros](/?state=86J8&question=What%20are%20some%20introductions%20to%20AI%20safety%3F) for readings\n\n- [Hassabis, Altman and AGI Labs Unite - AI Extinction Risk Statement [ft. Sutskever, Hinton + Voyager]](https://www.youtube.com/watch?v=f20wXjWHh2o)\n\n- [AI and Evolution](https://www.youtube.com/watch?v=48h-ySTggE8) (Dan Hendrycks)\n\n- [Vael Gates: Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0)\n\n- [Intro to AI Safety, Remastered](https://www.youtube.com/watch?v=pYXy-A4siMw) (Rob Miles)\n\n- [Connor Leahy, AI Fire Alarm](https://www.youtube.com/watch?v=pGjyiqJZPJo), [AI Alignment & AGI Fire Alarm - Connor Leahy](https://www.youtube.com/watch?v=HrV19SjKUss) (ML Street Talk), and [Connor Leahy on AI Safety and Why the World is Fragile](https://www.youtube.com/watch?v=cSL3Zau1X8g)\n\n- [Positive Outcomes for AI | Nate Soares | Talks at Google](https://www.youtube.com/watch?v=dY3zDvoLoao)\n\n- [Eliezer Yudkowsky – AI Alignment: Why It's Hard, and Where to Start](https://www.youtube.com/watch?v=EUjc1WuyPT8) and [Sam Harris 2018 - IS vs OUGHT, Robots of The Future Might Deceive Us with Eliezer Yudkowsky](https://www.youtube.com/watch?v=JuvonhJrzQ0) ([full transcript here](https://intelligence.org/2018/02/28/sam-harris-and-eliezer-yudkowsky/)) and [159 - We’re All Gonna Die with Eliezer Yudkowsky](https://www.youtube.com/watch?v=gA1sNLL6yg4)\n\n- [Brian Christian](https://80000hours.org/podcast/episodes/brian-christian-the-alignment-problem/) and [Ben Garfinkel](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/) and [Richard Ngo](https://80000hours.org/podcast/episodes/richard-ngo-large-language-models/) and [Paul Christiano](https://80000hours.org/podcast/episodes/paul-christiano-ai-alignment-solutions/) on the [80,000 Hours Podcast](https://80000hours.org/podcast/)\n\n- [Richard Ngo](https://axrp.net/episode/2022/03/31/episode-13-first-principles-agi-safety-richard-ngo.html) and [Paul Christiano](https://axrp.net/episode/2021/12/02/episode-12-ai-xrisk-paul-christiano.html) on [AXRP](https://axrp.net/)\n\n- [Ajeya Cotra on how Artificial Intelligence Could Cause Catastrophe](https://www.youtube.com/watch?v=IKFQfYaJ0AY)\n\n- [Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it](https://www.youtube.com/watch?v=cqCnqW4oZog)\n\n- [Rohin Shah on the State of AGI Safety Research in 2021](https://www.youtube.com/watch?v=_5xkh-Rh6Ec) and [AI Alignment: An Introduction | Rohin Shah | EAGxOxford 22](https://www.youtube.com/watch?v=MKlXU_Ztw9s)\n\n- [The Alignment Problem: Machine Learning and Human Values with Brian Christian](https://www.youtube.com/watch?v=z6atNBhItBs&t=3297s) Q&A section\n\n- [David Krueger AI Safety and Alignment- Part 1](https://www.youtube.com/watch?v=HtSq2793zh4&list=PLnyQfwIuLcvBqxVqPF2UvILRqOFLuO4PM) and [part 2](https://www.youtube.com/watch?v=vGR6pWF5JeI&list=PLnyQfwIuLcvBqxVqPF2UvILRqOFLuO4PM&index=2)\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY)\n\n- [X-Risk Overview](https://www.youtube.com/watch?v=3eP2WcFE20w) (Dan Hendrycks)\n\n- [Provably Beneficial AI | Stuart Russell](https://www.youtube.com/watch?v=Kw_1N9Nfir0)\n\n- [Stuart Russell's BBC Reith lecture audio](https://www.bbc.co.uk/programmes/m001216k/episodes/guide)\n\n- [Myths and Facts About Superintelligent AI](https://www.youtube.com/watch?v=3Om9ssTm194) (Max Tegmark + minutephysics)\n\n- [What happens when our computers get smarter than we are? | Nick Bostrom](https://www.youtube.com/watch?v=MnT1xgZgkpk)\n\n- [Risks from Advanced AI with Jakub Kraus](https://www.youtube.com/watch?v=eBGv6N0jdmU) and [AI safety intro talk](https://docs.google.com/presentation/d/1ZnQEdhVrQmWNsDszFMH8Ru-stcJUGUyjLePrKLQhprs/edit#slide=id.g1ceef80cb7f_0_6)\n\n- [What is the alignment problem?](https://www.youtube.com/watch?v=hr44J7WjToQ) (Samuel Albanie)\n\n- [SaTML 2023 - Jacob Steinhardt - Aligning ML Systems with Human Intent](https://www.youtube.com/watch?v=uPH1xIiGZ4o)\n\n- [How We Prevent the AI’s from Killing us with Paul Christiano](https://www.youtube.com/watch?v=GyFkWb903aU)\n\n### Landscape\n\n- [Current work in AI alignment | Paul Christiano | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=-vsYtevJ2bc) \n \n\n- [Paradigms of AI alignment: components and enablers | Victoria Krakovna | EAGxVirtual 2022](https://www.youtube.com/watch?v=IqqEEB6xcsA)\n\n- [How to build a safe advanced AI (Evan Hubinger) | What's up in AI safety? (Asya Bergal)](https://www.youtube.com/watch?v=jn8eqpMLFlQ)\n\n- [Rohin Shah on the State of AGI Safety Research in 2021](https://www.youtube.com/watch?v=_5xkh-Rh6Ec)\n\n### Inner alignment\n\n- [Risks from Learned Optimization: Evan Hubinger at MLAB2](https://www.youtube.com/watch?v=OUifSs28G30)\n\n- [The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment](https://www.youtube.com/watch?v=bJLcIBixGj8)\n\n- [Deceptive Misaligned Mesa-Optimisers? It's More Likely Than You Think...](https://www.youtube.com/watch?v=IeWljQw3UgQ)\n\n- [We Were Right! Real Inner Misalignment](https://www.youtube.com/watch?v=zkbPdEHEyEI)\n\n### Outer alignment\n\n- [9 Examples of Specification Gaming](https://www.youtube.com/watch?v=nKJlF-olKmg)\n\n- [How to Keep Improving When You're Better Than Any Teacher - Iterated Distillation and Amplification](https://www.youtube.com/watch?v=v9M2Ho9I9Qo)\n\n- [AI Toy Control Problem](https://www.youtube.com/watch?v=sx8JkdbNgdU) (Stuart Armstrong)\n\n- [AIS via Debate](https://drive.google.com/drive/u/0/folders/1M_nDAz9JB_jnO9gDX29C2COCP9Ts4h7H) (Joe Collman)\n\n- [Another Outer Alignment Failure Story](https://www.youtube.com/watch?v=hYL8UMDIDFM)\n\n### Agent foundations\n\n- [AI & Logical Induction - Computerphile](https://www.youtube.com/watch?v=gDqkCxYYDGk)\n\n- [Intro to Agent Foundations (Understanding Infra-Bayesianism Part 4)](https://www.youtube.com/watch?v=SLQDNRbihsk)\n\n- [Scott Garrabrant – Finite Factored Sets](https://www.youtube.com/watch?v=fvj8fi5azTM)\n\n- [EC'21 Tutorial: Designing Agents' Preferences, Beliefs, and Identities (Part 3)](https://www.youtube.com/watch?v=lviqTJuj53g) and [part 4](https://www.youtube.com/watch?v=0JcBhF8Qt2Q) from [FOCAL at CMU](https://www.cs.cmu.edu/~focal/)\n\n### Interpretability\n\n- See the [interpretability playground](https://alignmentjam.com/interpretability-playground)\n\n- [What is mechanistic interpretability? Neel Nanda explains.](https://www.youtube.com/watch?v=sISodZSxNvc)\n\n- [A Walkthrough of Toy Models of Superposition w/ Jess Smith](https://www.youtube.com/watch?v=R3nbXgMnVqQ)\n\n- [ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)](https://www.youtube.com/watch?v=_NMQyOu2HTo)\n\n- [Feature Visualization & The OpenAI microscope](https://www.youtube.com/watch?v=Ok44otx90D4) and [Building Blocks of AI Interpretability | Two Minute Papers #234](https://www.youtube.com/watch?v=pVgC-7QTr40)\n\n- [ICLR 2022 Keynote: Been Kim](https://www.youtube.com/watch?v=Ub45cGEcTB0)\n\n- [25. Interpretability](https://www.youtube.com/watch?v=wDLzLN1tArA) (MIT 6.S897 Machine Learning for Healthcare, Spring 2019)\n\n- [Cohere For AI - Community Talks - Catherine Olsson on Mechanistic Interpretability: Getting Started](https://www.youtube.com/watch?v=ll0oduwDEwI)\n\n- [Transformer Circuit Videos](https://transformer-circuits.pub/2021/videos/index.html) + [YouTube playlist](https://www.youtube.com/playlist?list=PLoyGOS2WIonajhAVqKUgEMNmeq3nEeM51)\n\n- [A Walkthrough of A Mathematical Framework for Transformer Circuits](https://www.youtube.com/watch?v=KV5gbOmHbjU)\n\n- [A Walkthrough of Interpretability in the Wild Part 1/2: Overview (w/ authors Kevin, Arthur, Alex)](https://www.youtube.com/watch?v=gzwj0jWbvbo) and [part 2](https://www.youtube.com/watch?v=b9xfYBKIaX4)\n\n- [Intro talk for the interpretability hackathon](https://youtu.be/kzGggSiMRoA?t=1795)\n\n- [Reliable and Interpretable Artificial Intelligence -- Lecture 1 (Introduction)](https://www.youtube.com/watch?v=nTWXiV6Ic1M&list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y)\n\n- [Chris Olah on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/chris-olah-interpretability-research/)\n\n### Organizations\n\n- [AI alignment and Redwood Research | Buck Shlegeris (CTO)](https://www.youtube.com/watch?v=PDvAutARum4&t=1459s)\n\n- [Daniela and Dario Amodei on Anthropic](https://www.youtube.com/watch?v=uAA6PZkek4A)\n\n- [Alignment Research Center - Q&A with Mark Xu](https://www.youtube.com/watch?v=zI1PVkhTTjA)\n\n- [Training machine learning (ML) systems to answer open-ended questions | Andreas Stuhlmuller](https://www.youtube.com/watch?v=7WaiYZLS94M) + [Amanda Ngo, Ought | Automating Complex Reasoning](https://youtu.be/kgCJvZXgL_o) (Ought)\n\n### Individual researchers\n\n- [Provably Beneficial AI and the Problem of Control](https://www.youtube.com/watch?v=vv-jKO-vlcU) and [Human-compatible artificial intelligence - Stuart Russell, University of California](https://www.youtube.com/watch?v=ApGusxR7JAc) (Stuart Russell)\n\n- [Victoria Krakovna–AGI Ruin, Sharp Left Turn, Paradigms of AI Alignment](https://www.youtube.com/watch?v=ZpwSNiLV-nw)\n\n- [David Krueger—AI Alignment](https://www.youtube.com/watch?v=bDMqo7BpNbk), [David Krueger: Existential Safety, Alignment, and Specification Problems](https://www.youtube.com/watch?v=gitJZzhLUSA)\n\n- [Holden Karnofsky - Transformative AI & Most Important Century](https://www.youtube.com/watch?v=UckqpcOu5SY)\n\n- [Katja Grace—Slowing Down AI, Forecasting AI Risk](https://www.youtube.com/watch?v=rSw3UVDZge0&t=64s)\n\n- [Shahar Avin–AI Governance](https://www.youtube.com/watch?v=3T7Gpwhtc6Q&t=85s)\n\n- [Markus Anderljung–Regulating Advanced AI](https://www.youtube.com/watch?v=DD303irN3ps&t=140s)\n\n- [A Conversation with John Wentworth](https://www.youtube.com/watch?v=OXbw_HXAyU4)\n\n- [Connor Leahy | Promising Paths to Alignment](https://www.youtube.com/watch?v=G4NcHrCz8yE)\n\n- [Prosaic Intent Alignment](https://www.youtube.com/watch?v=PaHqqRy_Gww) (Paul Christiano)\n\n- [Timelines for Transformative AI and Language Model Alignment | Ajeya Cotra](https://www.youtube.com/watch?v=FIYOtZW8yEM)\n\n- [AI Research Considerations for Existential Safety](https://www.youtube.com/watch?v=qh666c6j4mk) (Andrew Critch)\n\n- [A Conversation with Vanessa Kosoy](https://www.youtube.com/watch?v=N-fscpxMIos)\n\n- [Causal foundations for safe AGI - Tom Everitt (DeepMind)](https://www.youtube.com/watch?v=FYTJui0MC24)\n\n- [Differential Progress in Cooperative AI: Motivation and Measurement](https://www.youtube.com/watch?v=yr5rQKFrofI) (Jesse Clifton and Sammy Martin)\n\n- [Open-source learning: A bargaining approach | Jesse Clifton | EA Global: London 2019](https://www.youtube.com/watch?v=QKRDp8nUMtk)\n\n- [Jan Leike - AI alignment at OpenAI](https://www.youtube.com/watch?v=vW89UcvMfjQ)\n\n- [AGISF - Research questions for the most important century - Holden Karnofsky](https://www.youtube.com/watch?v=CUziAFXsK0o)\n\n- [Scott Aaronson Talks AI Safety](https://www.youtube.com/watch?v=fc-cHk9yFpg)\n\n- [BI 151 Steve Byrnes: Brain-like AGI Safety](https://www.youtube.com/watch?v=w7k3o5uIBjs)\n\n- [Stuart Armstrong - How Could We Align AI?](https://www.youtube.com/watch?v=sQgvZAml950)\n\n- [SDS 597: A.I. Policy at OpenAI — with Miles Brundage](https://www.youtube.com/watch?v=r4AUs2OC2OY)\n\n- [Owain Evans - Predicting the future of AI](https://www.youtube.com/watch?v=dea1XQojRmw)\n\n- [Ethan Perez | Discovering language model behaviors with model-written evaluations](https://www.youtube.com/watch?v=-6grYve_kWY)\n\n- [Helen Toner - The strategic and security implications of AI](https://www.youtube.com/watch?v=dqoBBAsZ4J0)\n\n### Reasoning about future AI\n\n- [Optimal Policies Tend To Seek Power](https://neurips.cc/virtual/2021/poster/28400) (Alex Turner at NeurIPS 2021)\n\n- [AI \"Stop Button\" Problem - Computerphile](https://www.youtube.com/watch?v=3TYT1QfdfsM)\n\n- [Intelligence and Stupidity: The Orthogonality Thesis](https://www.youtube.com/watch?v=hEUO6pjwFOo)\n\n- [Why Would AI Want to do Bad Things? Instrumental Convergence](https://www.youtube.com/watch?v=ZeecOKBus3Q)\n\n- [Without specific countermeasures, the easiest path to transformative AI likely leads to AI takeover](https://www.youtube.com/watch?v=EIhE84kH2QI)\n\n- [Existential Risk from Power-Seeking AI (Joe Carlsmith)](https://www.youtube.com/watch?v=UbruBnv3pZU)\n\n### AI Governance\n\n- [Markus Anderljung Regulating increasingly advanced AI some hypotheses](https://www.youtube.com/watch?v=xtNrm-EXRjI)\n\n- [Sam Altman and William G. Gale discuss Taxation Solutions for Advanced AI](https://www.youtube.com/watch?v=sfnScBUwwMU)\n\n- [Paul Scharre & Helen Toner on AI Capabilities & the Nature of Warfare](https://www.youtube.com/watch?v=LjGwEx5Ob0U)\n\n- [Why governing AI is our opportunity to shape the long-term future? | Jade Leung | TEDxWarwickSalon](https://www.youtube.com/watch?v=qjcA3rYzo54) + [Priorities in AGI governance research | Jade Leung | EA Global: SF 22](https://www.youtube.com/watch?v=OfmL45J6tYs)\n\n- [An Introduction to AI Governance | Ben Garfinkel | EAGxVirtual 2022](https://www.youtube.com/watch?v=NNmkz_DfR9w)\n\n- [The Windfall Clause: Sharing the benefits of advanced AI | Cullen O’Keefe](https://www.youtube.com/watch?v=vFDL-NxY610) + [Sharing the Benefits of AI: The Windfall Clause](https://www.youtube.com/watch?v=7i_f4Kbpgn4) (Rob Miles)\n\n- [Margaret Roberts & Jeffrey Ding: Censorship’s Implications for Artificial Intelligence](https://www.youtube.com/watch?v=4MSAApBYgWc)\n\n- [Preparing for AI: risks and opportunities | Allan Dafoe | EAG 2017 London](https://www.youtube.com/watch?v=RWKHx2bE1H4) + [AI Strategy, Policy, and Governance | Allan Dafoe](https://www.youtube.com/watch?v=2IpJ8TIKKtI)\n\n- [More than Deepfakes](https://www.youtube.com/watch?v=-oesD7CXmGs) (Katerina Sedova and John Bansemer)\n\n- [AI and the Development, Displacement, or Destruction of the Global Legal Order](https://www.youtube.com/watch?v=a1gREVAQP58) (Matthijs Maas)\n\n- [Future-proofing AI Governance | The Athens Roundtable on AI and the Rule of Law 2022](https://www.youtube.com/watch?v=ZYacyf5Pqtk)\n\n- [Having Our Cake and Eating It Too with Amanda Askell](https://www.youtube.com/watch?v=WpiJtyPLvWo) (covers incentives in AI development)\n\n- [AI Ethics Seminar with Matthijs Maas - Pausing AI & Technological Restraint - April 25, 2023](https://www.youtube.com/watch?v=vn4ADfyrJ0Y)\n\n### Ethics\n\n- [2022 Annual Uehiro Lectures in Practical Ethics, 'Ethics and Artificial Intelligence’](https://www.practicalethics.ox.ac.uk/uehiro-lectures-2022)\n\n### Career planning\n\n- [How I think students should orient to AI safety | Buck Shlegeris | EA Student Summit 2020](https://www.youtube.com/watch?v=R6Mzt4GwQnQ)\n\n- [Getting Started in AI Safety | Olivia Jimenez, Akash Wasil | EAGxVirtual 2022](https://www.youtube.com/watch?v=di8XHw1y71A)\n\n- [AGISF - Careers in AI Alignment and Governance - Alex Lawsen](https://www.youtube.com/watch?v=pbt_1zRa7zE)\n\n- [Catherine Olsson & Daniel Ziegler on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/olsson-and-ziegler-ml-engineering-and-safety/)\n\n- [AI Safety Careers | Rohin Shah, Lewis Hammond and Jamie Bernardi | EAGxOxford 22](https://www.youtube.com/watch?v=kwoAepfZ6co)\n\n- [Early-Career Opportunities in AI Governance | Lennart Heim, Caroline Jeanmaire | EAGxOxford 22](https://www.youtube.com/watch?v=xZSazcEy-ms&t=1910s)\n\n- [Artificial Intelligence Career Stories | EA Student Summit 2020](https://www.youtube.com/watch?v=FjMqY8hHK7Y)\n\n### Forecasting\n\n- [Will AI end everything? A guide to guessing | Katja Grace | EAG Bay Area 23](https://www.youtube.com/watch?v=j5Lu01pEDWA)\n\n- [Neural Scaling Laws and GPT-3](https://www.youtube.com/watch?v=QMqPAM_knrE) (Jared Kaplan)\n\n- [WHY AND HOW OF SCALING LARGE LANGUAGE MODELS | NICHOLAS JOSEPH](https://www.youtube.com/watch?v=qscouq3lo0s)\n\n- [Jack Clark Presenting the 2022 AI Index Report](https://www.youtube.com/watch?v=1xLxlMdcbpM)\n\n- [Reasons you might think human level AI soon is unlikely | Asya Bergal | EAGxVirtual 2020](https://www.youtube.com/watch?v=oFJcvyxpGSo)\n\n- [Existential Risk Pessimism and the Time of Perils | David Thorstad | EAGxOxford 22](https://www.youtube.com/watch?v=gn64IZ_wijk)\n\n- [Alex Lawsen—Forecasting AI Progress](https://www.youtube.com/watch?v=vLkasevJP5c) and [Alex Lawsen forecasting videos](https://www.youtube.com/channel/UCz_CdUW34eb9jePo-6VsLLQ/videos)\n\n- [Betting on AI is like betting on semiconductors in the 70's | Danny Hernandez | EA Global: SF 22](https://www.youtube.com/watch?v=MryjWfCBeg4) + [Danny Hernandez on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/danny-hernandez-forecasting-ai-progress/)\n\n- [AI safety | Katja Grace | EA Global: San Francisco 2017](https://www.youtube.com/watch?v=r91Co5CeOCY)\n\n- [Experts' Predictions about the Future of AI](https://www.youtube.com/watch?v=HOJ1NVtlnyQ)\n\n- [Economic Growth in the Long Run: Artificial Intelligence Explosion or an Empty Planet?](https://www.youtube.com/watch?v=Qhmt9CuV6tU)\n\n- [Katja Grace—Slowing Down AI, Forecasting AI Risk](https://www.youtube.com/watch?v=rSw3UVDZge0)\n\n- [Sam Bowman - Are we *under-hyping* AI?](https://www.youtube.com/watch?v=X3pzKjom7HE)\n\n- [Moore's Law, exponential growth, and extrapolation!](https://www.youtube.com/watch?v=iu-DgigiyeA) (Steve Brunton)\n\n### Capabilities\n\n- [Satya Nadella Full Keynote Microsoft Ignite 2022](https://www.youtube.com/watch?v=pdSfgRYy8Ao&t=745s) with Sam Altman, start at 12:25\n\n- [Competition-Level Code Generation with AlphaCode (Paper Review)](https://www.youtube.com/watch?v=s9UAOmyah1A)\n\n- [It’s Time to Pay Attention to A.I. (ChatGPT and Beyond)](https://www.youtube.com/watch?v=0uQqMxXoNVs)\n\n- [The text-to-image revolution, explained](https://www.youtube.com/watch?v=SVcsDDABEkM) + [How the World Cup’s AI instant replay works](https://www.youtube.com/watch?v=C164kYMGV1A) (Vox)\n\n- [Creating a Space Game with OpenAI Codex](https://www.youtube.com/watch?v=Zm9B-DvwOgw)\n\n### How AI works\n\n- [AGISF Week 0 Intro to ML](https://www.youtube.com/watch?v=v5c2Ll9129k)\n\n- [Stanford CS25 - Transformers United](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n\n- [Transformers, explained: Understand the model behind GPT, BERT, and T5](https://www.youtube.com/watch?v=SZorAJ4I-sA); [Transformers for beginners | What are they and how do they work](https://www.youtube.com/watch?v=_UVfwBqcnbM)\n\n- [Reinforcement learning playlist](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74) (Steve Brunton)\n\n- [How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile](https://www.youtube.com/watch?v=1CIpzeNxIhU) + [Stable Diffusion in Code (AI Image Generation) - Computerphile](https://www.youtube.com/watch?v=-lz30by8-sU)\n\n- [Attention in Neural Networks](https://www.youtube.com/watch?v=W2rWgXJBZhU)\n\n- [What is a transformer?](https://www.youtube.com/watch?v=VMvpQhNkm8w&list=PL7m7hLIqA0hoIUPhC26ASCVs_VrqcDpAz&index=2) + [Implementing GPT-2 from scratch](https://www.youtube.com/watch?v=R9t-VS6PM3M&list=PL7m7hLIqA0hoIUPhC26ASCVs_VrqcDpAz&index=2) (Neel Nanda)\n\n- [The spelled-out intro to neural networks and backpropagation: building micrograd](https://www.youtube.com/watch?v=VMj-3S1tku0)\n\n- [Neural Networks (3Blue1Brown)](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)\n\n- [DeepMind x UCL RL Lecture Series - Introduction to Reinforcement Learning [1/13]](https://www.youtube.com/watch?v=TCCjZe0y4Qc)\n\n- [Generative Adversarial Networks (GANs) - Computerphile](https://www.youtube.com/watch?v=Sw9r8CL98N0)\n\n- [Deep Learning for Computer Vision (Justin Johnson) lecture videos](https://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/schedule.html)\n\n- [CS25 I Stanford Seminar - Transformers United: DL Models that have revolutionized NLP, CV, RL](https://www.youtube.com/watch?v=P127jhj-8-Y&list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n\n- [Broderick: Machine Learning, MIT 6.036 Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV) + [course page](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/course/)\n\n- [DEEP LEARNING - DS-GA 1008 · Spring 2020 · NYU](https://atcold.github.io/pytorch-Deep-Learning/)\n\n- [Practical Deep Learning course | fast.ai](https://course.fast.ai/)\n\n- [Hugging Face NLP Course](https://huggingface.co/course)\n\n### China\n\n- [Re-deciphering China’s AI dream | Jeffrey Ding | EA Global: London 2019](https://www.youtube.com/watch?v=1mExA_xdgnA)\n\n- [Sino-Western cooperation in AI safety | Brian Tse | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=3qYmLRqemg4)\n\n- [China's Long-Term Investments in AI Growth](https://www.youtube.com/watch?v=ex0O0qBB2Xg)\n\n- [Why China is losing the microchip war](https://www.youtube.com/watch?v=Uh4QGey2zTk) (Vox)\n\n### Rationality\n\n- [Effective behavior change | Spencer Greenberg | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=ulLQE3g_KRI)\n\n- [Making high impact decisions | Anna Edmonds | EA Global: SF 22](https://www.youtube.com/watch?v=_r8HL8UiLYI)\n\n- [Decision-making workshop: learn how to make better decisions | Spencer Greenberg](https://www.youtube.com/watch?v=bXJ6U13SSmA)\n\n- [Decoupling: a technique for reducing bias | David Manley | EA Student Summit 2020](https://www.youtube.com/watch?v=GNBIsChKWpc)\n\n- [Rationality & Alignment | Ruby Bloom | EA Global: SF 22](https://www.youtube.com/watch?v=6rw6A7BL5W4)\n\n### Debates / discussions between people with different perspectives\n\n- [Existential Risks of AI - Debate with Stuart Russell at Pakhuis de Zwijger](https://www.youtube.com/watch?v=vGQDctxwy2E)\n\n### Misc\n\n- [Slaughterbots](https://www.youtube.com/watch?v=9CO6M2HsoIA) + [Why We Should Ban Lethal Autonomous Weapons](https://www.youtube.com/watch?v=LVwD-IZosJE) + [A.I. Is Making it Easier to Kill (You). Here’s How. | NYT](https://www.youtube.com/watch?v=GFD_Cgr2zho)\n\n- [Tobias Baumann on Artificial Sentience and Reducing the Risk of Astronomical Suffering](https://www.youtube.com/watch?v=C1J7NLpPzlM)\n\n- [The Doomsday Argument](https://www.youtube.com/watch?v=dSvgw9ZOK3I) | PBS Space Time\n\n- [How will AI change the world?](https://www.youtube.com/watch?v=RzkD_rTEBYs)\n\n- [Forming your own views on AI safety (without stress!) | Neel Nanda | EA Global: SF 22](https://www.youtube.com/watch?v=edoQ3CiNa_s) – also see [Neel's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" doc\n\n- [Applied Linear Algebra Lectures](https://www.youtube.com/playlist?list=PLiayR7yJx8-aCfBlccBjF1t-UO86fZJVu) (John Wentworth)\n\n- [AI alignment, philosophical pluralism, and the relevance of non-Western philosophy | Tan Zhi Xuan](https://www.youtube.com/watch?v=dbMp4pFVwnU)\n\n- [Anders Sandberg on Information Hazards](https://www.youtube.com/watch?v=Wn2vgQGNI_c&list=PLFDYxsqlH6uhSghWfsuEAiKDfZNVZhUOX&index=1)\n\n- [Reframing superintelligence | Eric Drexler | EA Global: London 2018](https://www.youtube.com/watch?v=MircoV5LKvg)\n\n- [Robin Hanson | The Age of Em](https://www.youtube.com/watch?v=eK5qxAA60PQ)\n\n- [AlphaGo - The Movie | Full award-winning documentary](https://www.youtube.com/watch?v=WXuK6gekU1Y)\n\n- [Should We Build Superintelligence?](https://www.youtube.com/watch?v=xLYE11yW-hQ)\n\n- [Moloch section of Liv Boeree interview with Lex Fridman](https://youtu.be/eF-E40pxxbI?t=4444) (and [Ginsberg](https://youtu.be/x-P2fILsLH8?t=980))\n\n- [Recordings of talks](https://vimeo.com/user196160056) from the [Japan AI Alignment Conference](https://jac2023.ai/)\n\n- [ChatGPT in Context. Part 1 - The Transformer, a Revolution in Computation](https://www.youtube.com/watch?v=X3gtDGX7hIs) (Piero Scaruffi)\n\n- [Is AI (ChatGPT, etc.) Sentient? A Perspective from Early Buddhist Psychology](https://www.youtube.com/watch?v=bPtuwBgalEU)\n\n## Watching videos in a group\n\n### Discussion prompts\n\n- [Paul Christiano on AI alignment - discussion](https://docs.google.com/document/d/1TALeBEoLdOPNQqOdah542TUuPwQ06UDSSE59eQP8MMA/edit) + [Paul Christiano alignment chart](https://docs.google.com/document/d/1hyqCSsX1mjzepHONO3p2baaIfDOLTzJGhfSUS4uov-s/edit)\n\n- [Allan Dafoe on AI strategy, policy, and governance - discussion](https://docs.google.com/document/d/1cGteO2yILEtgWN_ILL6FgCrRxzCaFbikz1jGdiDF_zU/edit#)\n\n- [Vael Gates: Researcher Perceptions of Current and Future AI - discussion](https://docs.google.com/document/d/1-MPJWcJtnlZzSx1H9J7JxUeRl-UOr4MgcWPVVfWP8zY/edit?usp=sharing)\n\n- [Sam Harris and Eliezer Yudkowsky on “AI: Racing Toward the Brink” -- discussion](https://docs.google.com/document/d/155RJRbdAui7e5yfjrkDnntZ4qrcZY9kyYsVqBAGZnis/edit)\n\n### Higher-level meeting tips\n\n- Show the video → people discuss afterwards with prompts\n\n- **Active learning techniques:** [here](https://teaching.cornell.edu/getting-started-active-learning-techniques)\n\n- You can **skip around** through parts of the video!\n\n- See “[Discussion Groups](https://resources.eagroups.org/events-program-ideas/single-day-events/discussion-groups)” from the EA Groups Resource Center\n\n- Make the official meeting end after 1 hour so people are free to leave, but give people the option to linger for longer and continue their discussion.\n\n- You can also do **readings instead of videos**, similar to [this](https://aisafetyfundamentals.com/alignment-insession-readings). Or **play around with a model** (e.g. test out hypotheses about how a language model works).\n\n- Try to keep the video portion to under 20 minutes unless the video is really interesting.\n\n- For a short video you could watch one of Apart’s [ML + AI safety updates](https://www.youtube.com/watch?v=saiqSZkDBSk). Some of these contain many topics, so people can discuss what they find interesting.\n\n```" + "Rich Text": "```*Also available at* *[aisafety.video](https://aisafety.video)*\n\n## Generally good sources\n\n### Videos\n\n- [Robert Miles AI safety](https://www.youtube.com/c/RobertMilesAI) (and Rob's videos on [Computerphile](https://www.youtube.com/playlist?list=PLzH6n4zXuckquVnQ0KlMDxyT5YE-sA8Ps))\n\n- [Centre for the Governance of AI (GovAI)](https://www.youtube.com/@centreforthegovernanceofai6615)\n\n- [Apart - Safe AI](https://www.youtube.com/channel/UCnfBOJnTkE9sgjMOOsQbi2w/)\n\n- [Neel Nanda](https://www.youtube.com/@neelnanda2469)\n\n- [Center for AI safety](https://www.youtube.com/channel/UCY_K5gXsXHtuiP8mj3BiWxA/videos)\n\n- [Towards Data Science](https://www.youtube.com/c/TowardsDataScience/videos)\n\n- [The Inside View](https://www.youtube.com/c/TheInsideView)\n\n- [Future of Life Institute](https://www.youtube.com/channel/UC-rCCy3FQ-GItDimSR9lhzw/videos)\n\n- [SERI](https://www.youtube.com/channel/UC_UHeaVeJoI7NGUSXqpBIiQ/videos)\n\n- [CERI](https://www.youtube.com/@cambridgeexistentialrisksi9588)\n\n- [AI safety Talks](https://www.youtube.com/@aisafetytalks/featured) (and its [playlists](https://www.youtube.com/@aisafetytalks/playlists))\n\n- [AI safety Reading Group](https://www.youtube.com/@aisafetyreadinggroup)\n\n- [Mechanistic Interpretability](https://www.youtube.com/@mechanisticinterpretabilit5092/)\n\n- [Intro to ML Safety](https://www.youtube.com/@introtomlsafety/videos)\n\n- [AGI safety talks from AGISF](https://www.agisafetyfundamentals.com/agi-safety-talks)\n\n- [AISS discussion days](https://www.aisafetysupport.org/events/discussion-days) and [AISS YouTube](https://www.youtube.com/@aiss8214)\n\n- [Victoria Krakovna AI talks](https://vkrakovna.wordpress.com/talks/)\n\n- [Jack Parker](https://www.youtube.com/channel/UCsLNgZySqFN4ybdEma0XCRg/videos)\n\n- [PIBBSS](https://www.youtube.com/@pibbssfellowship1034/videos)\n\n- [MIRI](https://www.youtube.com/@MIRIBerkeley)\n\n- [The Future Society](https://www.youtube.com/@thefuturesoc)\n\n- [Cooperative AI Foundation](https://www.youtube.com/@CooperativeAIFoundation/)\n\n- [Quantified Uncertainty Research Institute](https://www.youtube.com/@quantifieduncertainty)\n\n- [Singular Learning Theory Summit](https://www.youtube.com/@SLTSummit/playlists)\n\n- **Other languages**: [Karl Olsberg](https://www.youtube.com/@KarlOlsbergAutor/videos) (German)\n\n- **Relevant, but less focused on AI existential risk**: [Kurzgesagt](https://www.youtube.com/c/inanutshell), [Rational Animations](https://www.youtube.com/c/RationalAnimations), [Centre for Effective Altruism](https://www.youtube.com/c/EffectiveAltruismVideos), [Future of Humanity Institute](https://www.youtube.com/user/FHIOxford/videos), [Center for Security and Emerging Technology](https://www.youtube.com/@centerforsecurityandemergi9211), [CSER](https://www.youtube.com/c/CSERCambridge/videos), [SSC meetups](https://www.youtube.com/watch?v=Wn2vgQGNI_c&list=PLFDYxsqlH6uhSghWfsuEAiKDfZNVZhUOX), [Foresight Institute](https://www.youtube.com/@ForesightInstitute), [Science, Technology & the Future](https://www.youtube.com/@scfu), [Berkman Klein Center](https://www.youtube.com/@BKCHarvard), [Schwartz Reisman Institute](https://www.youtube.com/@SchwartzReismanInstitute), [Stanford HAI](https://www.youtube.com/@stanfordhai7626), [Carper AI](https://www.youtube.com/@carperai3790), [Lex Fridman](https://www.youtube.com/@lexfridman), [Digital Humanism](https://www.youtube.com/@DigitalHumanism/), [Cognitive Revolution Podcast](https://www.youtube.com/@CognitiveRevolutionPodcast/), [NIST AI Metrology Colloquia Series](https://www.nist.gov/node/1698041/ai-metrology-colloquia-series)\n\n- **AI content without much AI safety**: [AI Explained](https://www.youtube.com/@ai-explained-/), [Edan Meyer](https://www.youtube.com/@EdanMeyer/videos), [Yannic Kilcher](https://www.youtube.com/c/YannicKilcher?app=desktop), [Mutual Information](https://www.youtube.com/@Mutual_Information/), [Computerphile](https://www.youtube.com/@Computerphile), [CodeEmporium](https://www.youtube.com/@CodeEmporium), [Andrej Karpathy](https://www.youtube.com/@AndrejKarpathy), [sentdex](https://www.youtube.com/@sentdex), [nPlan](https://www.youtube.com/@nPlan/), [Jay Alammar](https://www.youtube.com/@ai_io), [Assembly AI](https://www.youtube.com/@AssemblyAI), [Aleksa Gordić](https://www.youtube.com/@TheAIEpiphany), [Simons Institute](https://www.youtube.com/@SimonsInstituteTOC/), [2 Minute Papers](https://www.youtube.com/c/KárolyZsolnai/videos), [Machine Learning Street Talk](https://www.youtube.com/@MachineLearningStreetTalk), [ColdFusion](https://www.youtube.com/@ColdFusion/), [HuggingFace](https://www.youtube.com/@HuggingFace), [AI Coffee Break](https://www.youtube.com/@AICoffeeBreak), [Alex Smola](https://www.youtube.com/@smolix/), [Welcome AI Overlords](https://www.youtube.com/@welcomeaioverlords/), [Valence Discovery](https://www.youtube.com/@valencediscovery6139/), [The Alan Turing Institute](https://www.youtube.com/@TheAlanTuringInstituteUK/), [Jordan Harrod](https://www.youtube.com/@JordanHarrod), [Cambridge Ellis Unit](https://www.youtube.com/@ellisunit8739), [Weights & Biases](https://www.youtube.com/c/WeightsBiases), [UCL CSML Seminar Series](https://www.youtube.com/@deepmindellisuclcsmlsemina3383/), [Harvard Medical AI](https://www.youtube.com/@harvard-medicalai-rajpurkarlab), [IARAI](https://www.youtube.com/@iarai/), [Alfredo Canziani](https://www.youtube.com/@alfcnz), [Andreas Geiger](https://www.youtube.com/@cvlibs/), [CMU AI Seminar](https://www.youtube.com/@cmuaiseminar1950/), [Jeremy Howard](https://www.youtube.com/@howardjeremyp/), [Google Research](https://www.youtube.com/@GoogleResearch/), [AI for Good](https://www.youtube.com/@AIforGood/), [IPAM UCLA](https://www.youtube.com/@IPAMUCLA), [One world theoretical ML](https://www.youtube.com/@oneworldtheoreticalmachine110), [What's AI](https://www.youtube.com/@WhatsAI/), [Stanford MedAI](https://www.youtube.com/@stanfordmedai1263), [MILA neural scaling seminars](https://sites.google.com/view/nsl-course/invited-talks), [Digital Engine](https://www.youtube.com/@DigitalEngine/) (sometimes misleading), [Steve Brunton](https://www.youtube.com/@Eigensteve/), [PyTorch](https://www.youtube.com/@PyTorch/), [What's AI by Louis Bouchard](https://www.youtube.com/@WhatsAI/), [Eye on AI](https://www.youtube.com/@eyeonai3425), [Super Data Science](https://www.youtube.com/@SuperDataScienceWithJonKrohn/), [Waterloo AI](https://www.youtube.com/@waterlooai/), [Matt Wolfe](https://www.youtube.com/@mreflow), [DeepLearningAI](https://www.youtube.com/@Deeplearningai/), [TechTechPotato](https://www.youtube.com/c/TechTechPotato), [Asianometry](https://www.youtube.com/c/Asianometry)\n\n### Lists\n\n- **[AI Alignment YouTube Playlists](https://www.lesswrong.com/posts/tas3QZfKm4bdnAWsZ/ai-alignment-youtube-playlists)** – excellent resource. [Slide-light](https://www.youtube.com/playlist?list=PLTYHZYmxohXp0xvVJmMmpT_eFJovlzn0l) ([reordered](https://www.youtube.com/playlist?list=PLCRVRLd2RhZTpdUdEzJjo3qhmX3y3skWA)) and [slide-heavy](https://www.youtube.com/playlist?list=PLTYHZYmxohXpn5uf8JZ2OouB1PsDJAk-x) playlists.\n\n- [the gears to ascenscion](https://www.lesswrong.com/posts/rKmojEZ9qKwApjCfX/the-gears-to-ascenscion-s-shortform?commentId=jmWL85bGWpJmPJYzW) lists many channels for understanding current capabilities trends\n\n- [AI safety Support "Lots of Links": Videos](https://www.aisafetysupport.org/resources/lots-of-links#h.6s2gcz1p5l6z)\n\n- [A ranked list of all EA-relevant documentaries movies and TV | Brian Tan on EAF](https://forum.effectivealtruism.org/posts/b4YW4GJR2RasS4YEw/a-ranked-list-of-all-ea-relevant-documentaries-movies-and-tv#AI_Safety___Risks) (“AI safety / Risks” section)\n\n- [San Francisco Alignment Workshop 2023](https://www.alignment-workshop.com/)\n\n- [Towards AGI: Scaling, Alignment & Emergent Behaviors in Neural Nets](https://sites.google.com/view/towards-agi-course/topicspapers?authuser=0)\n\n## Specific suggestions\n\nNote that:\n\n- I haven’t watched all of these videos. Feel free to comment with more recommendations!\n\n- This list does not focus on podcasts, although there are a few podcast recommendations.\n\n### Introductory\n\n- See also [AI safety intros](/?state=86J8&question=What%20are%20some%20introductions%20to%20AI%20safety%3F) for readings\n\n- [Hassabis, Altman and AGI Labs Unite - AI Extinction Risk Statement [ft. Sutskever, Hinton + Voyager]](https://www.youtube.com/watch?v=f20wXjWHh2o)\n\n- [AI and Evolution](https://www.youtube.com/watch?v=48h-ySTggE8) (Dan Hendrycks)\n\n- [Vael Gates: Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0)\n\n- [Intro to AI safety, Remastered](https://www.youtube.com/watch?v=pYXy-A4siMw) (Rob Miles)\n\n- [Connor Leahy, AI Fire Alarm](https://www.youtube.com/watch?v=pGjyiqJZPJo), [AI Alignment & AGI Fire Alarm - Connor Leahy](https://www.youtube.com/watch?v=HrV19SjKUss) (ML Street Talk), and [Connor Leahy on AI safety and Why the World is Fragile](https://www.youtube.com/watch?v=cSL3Zau1X8g)\n\n- [Positive Outcomes for AI | Nate Soares | Talks at Google](https://www.youtube.com/watch?v=dY3zDvoLoao)\n\n- [Eliezer Yudkowsky – AI Alignment: Why It's Hard, and Where to Start](https://www.youtube.com/watch?v=EUjc1WuyPT8) and [Sam Harris 2018 - IS vs OUGHT, Robots of The Future Might Deceive Us with Eliezer Yudkowsky](https://www.youtube.com/watch?v=JuvonhJrzQ0) ([full transcript here](https://intelligence.org/2018/02/28/sam-harris-and-eliezer-yudkowsky/)) and [159 - We’re All Gonna Die with Eliezer Yudkowsky](https://www.youtube.com/watch?v=gA1sNLL6yg4)\n\n- [Brian Christian](https://80000hours.org/podcast/episodes/brian-christian-the-alignment-problem/) and [Ben Garfinkel](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/) and [Richard Ngo](https://80000hours.org/podcast/episodes/richard-ngo-large-language-models/) and [Paul Christiano](https://80000hours.org/podcast/episodes/paul-christiano-ai-alignment-solutions/) on the [80,000 Hours Podcast](https://80000hours.org/podcast/)\n\n- [Richard Ngo](https://axrp.net/episode/2022/03/31/episode-13-first-principles-agi-safety-richard-ngo.html) and [Paul Christiano](https://axrp.net/episode/2021/12/02/episode-12-ai-xrisk-paul-christiano.html) on [AXRP](https://axrp.net/)\n\n- [Ajeya Cotra on how Artificial Intelligence Could Cause Catastrophe](https://www.youtube.com/watch?v=IKFQfYaJ0AY)\n\n- [Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it](https://www.youtube.com/watch?v=cqCnqW4oZog)\n\n- [Rohin Shah on the State of AGI Safety Research in 2021](https://www.youtube.com/watch?v=_5xkh-Rh6Ec) and [AI Alignment: An Introduction | Rohin Shah | EAGxOxford 22](https://www.youtube.com/watch?v=MKlXU_Ztw9s)\n\n- [The Alignment Problem: Machine Learning and Human Values with Brian Christian](https://www.youtube.com/watch?v=z6atNBhItBs&t=3297s) Q&A section\n\n- [David Krueger AI safety and Alignment- Part 1](https://www.youtube.com/watch?v=HtSq2793zh4&list=PLnyQfwIuLcvBqxVqPF2UvILRqOFLuO4PM) and [part 2](https://www.youtube.com/watch?v=vGR6pWF5JeI&list=PLnyQfwIuLcvBqxVqPF2UvILRqOFLuO4PM&index=2)\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY)\n\n- [X-Risk Overview](https://www.youtube.com/watch?v=3eP2WcFE20w) (Dan Hendrycks)\n\n- [Provably Beneficial AI | Stuart Russell](https://www.youtube.com/watch?v=Kw_1N9Nfir0)\n\n- [Stuart Russell's BBC Reith lecture audio](https://www.bbc.co.uk/programmes/m001216k/episodes/guide)\n\n- [Myths and Facts About Superintelligent AI](https://www.youtube.com/watch?v=3Om9ssTm194) (Max Tegmark + minutephysics)\n\n- [What happens when our computers get smarter than we are? | Nick Bostrom](https://www.youtube.com/watch?v=MnT1xgZgkpk)\n\n- [Risks from Advanced AI with Jakub Kraus](https://www.youtube.com/watch?v=eBGv6N0jdmU) and [AI safety intro talk](https://docs.google.com/presentation/d/1ZnQEdhVrQmWNsDszFMH8Ru-stcJUGUyjLePrKLQhprs/edit#slide=id.g1ceef80cb7f_0_6)\n\n- [What is the alignment problem?](https://www.youtube.com/watch?v=hr44J7WjToQ) (Samuel Albanie)\n\n- [SaTML 2023 - Jacob Steinhardt - Aligning ML Systems with Human Intent](https://www.youtube.com/watch?v=uPH1xIiGZ4o)\n\n- [How We Prevent the AI’s from Killing us with Paul Christiano](https://www.youtube.com/watch?v=GyFkWb903aU)\n\n### Landscape\n\n- [Current work in AI alignment | Paul Christiano | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=-vsYtevJ2bc) \n \n\n- [Paradigms of AI alignment: components and enablers | Victoria Krakovna | EAGxVirtual 2022](https://www.youtube.com/watch?v=IqqEEB6xcsA)\n\n- [How to build a safe advanced AI (Evan Hubinger) | What's up in AI safety? (Asya Bergal)](https://www.youtube.com/watch?v=jn8eqpMLFlQ)\n\n- [Rohin Shah on the State of AGI Safety Research in 2021](https://www.youtube.com/watch?v=_5xkh-Rh6Ec)\n\n### Inner alignment\n\n- [Risks from Learned Optimization: Evan Hubinger at MLAB2](https://www.youtube.com/watch?v=OUifSs28G30)\n\n- [The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment](https://www.youtube.com/watch?v=bJLcIBixGj8)\n\n- [Deceptive Misaligned Mesa-Optimisers? It's More Likely Than You Think...](https://www.youtube.com/watch?v=IeWljQw3UgQ)\n\n- [We Were Right! Real Inner Misalignment](https://www.youtube.com/watch?v=zkbPdEHEyEI)\n\n### Outer alignment\n\n- [9 Examples of Specification Gaming](https://www.youtube.com/watch?v=nKJlF-olKmg)\n\n- [How to Keep Improving When You're Better Than Any Teacher - Iterated Distillation and Amplification](https://www.youtube.com/watch?v=v9M2Ho9I9Qo)\n\n- [AI Toy Control Problem](https://www.youtube.com/watch?v=sx8JkdbNgdU) (Stuart Armstrong)\n\n- [AIS via Debate](https://drive.google.com/drive/u/0/folders/1M_nDAz9JB_jnO9gDX29C2COCP9Ts4h7H) (Joe Collman)\n\n- [Another Outer Alignment Failure Story](https://www.youtube.com/watch?v=hYL8UMDIDFM)\n\n### Agent foundations\n\n- [AI & Logical Induction - Computerphile](https://www.youtube.com/watch?v=gDqkCxYYDGk)\n\n- [Intro to Agent Foundations (Understanding Infra-Bayesianism Part 4)](https://www.youtube.com/watch?v=SLQDNRbihsk)\n\n- [Scott Garrabrant – Finite Factored Sets](https://www.youtube.com/watch?v=fvj8fi5azTM)\n\n- [EC'21 Tutorial: Designing Agents' Preferences, Beliefs, and Identities (Part 3)](https://www.youtube.com/watch?v=lviqTJuj53g) and [part 4](https://www.youtube.com/watch?v=0JcBhF8Qt2Q) from [FOCAL at CMU](https://www.cs.cmu.edu/~focal/)\n\n### Interpretability\n\n- See the [interpretability playground](https://alignmentjam.com/interpretability-playground)\n\n- [What is mechanistic interpretability? Neel Nanda explains.](https://www.youtube.com/watch?v=sISodZSxNvc)\n\n- [A Walkthrough of Toy Models of Superposition w/ Jess Smith](https://www.youtube.com/watch?v=R3nbXgMnVqQ)\n\n- [ROME: Locating and Editing Factual Associations in GPT (Paper Explained & Author Interview)](https://www.youtube.com/watch?v=_NMQyOu2HTo)\n\n- [Feature Visualization & The OpenAI microscope](https://www.youtube.com/watch?v=Ok44otx90D4) and [Building Blocks of AI Interpretability | Two Minute Papers #234](https://www.youtube.com/watch?v=pVgC-7QTr40)\n\n- [ICLR 2022 Keynote: Been Kim](https://www.youtube.com/watch?v=Ub45cGEcTB0)\n\n- [25. Interpretability](https://www.youtube.com/watch?v=wDLzLN1tArA) (MIT 6.S897 Machine Learning for Healthcare, Spring 2019)\n\n- [Cohere For AI - Community Talks - Catherine Olsson on Mechanistic Interpretability: Getting Started](https://www.youtube.com/watch?v=ll0oduwDEwI)\n\n- [Transformer Circuit Videos](https://transformer-circuits.pub/2021/videos/index.html) + [YouTube playlist](https://www.youtube.com/playlist?list=PLoyGOS2WIonajhAVqKUgEMNmeq3nEeM51)\n\n- [A Walkthrough of A Mathematical Framework for Transformer Circuits](https://www.youtube.com/watch?v=KV5gbOmHbjU)\n\n- [A Walkthrough of Interpretability in the Wild Part 1/2: Overview (w/ authors Kevin, Arthur, Alex)](https://www.youtube.com/watch?v=gzwj0jWbvbo) and [part 2](https://www.youtube.com/watch?v=b9xfYBKIaX4)\n\n- [Intro talk for the interpretability hackathon](https://youtu.be/kzGggSiMRoA?t=1795)\n\n- [Reliable and Interpretable Artificial Intelligence -- Lecture 1 (Introduction)](https://www.youtube.com/watch?v=nTWXiV6Ic1M&list=PLWjm4hHpaNg6c-W7JjNYDEC_kJK9oSp0Y)\n\n- [Chris Olah on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/chris-olah-interpretability-research/)\n\n### Organizations\n\n- [AI alignment and Redwood Research | Buck Shlegeris (CTO)](https://www.youtube.com/watch?v=PDvAutARum4&t=1459s)\n\n- [Daniela and Dario Amodei on Anthropic](https://www.youtube.com/watch?v=uAA6PZkek4A)\n\n- [Alignment Research Center - Q&A with Mark Xu](https://www.youtube.com/watch?v=zI1PVkhTTjA)\n\n- [Training machine learning (ML) systems to answer open-ended questions | Andreas Stuhlmuller](https://www.youtube.com/watch?v=7WaiYZLS94M) + [Amanda Ngo, Ought | Automating Complex Reasoning](https://youtu.be/kgCJvZXgL_o) (Ought)\n\n### Individual researchers\n\n- [Provably Beneficial AI and the Problem of Control](https://www.youtube.com/watch?v=vv-jKO-vlcU) and [Human-compatible artificial intelligence - Stuart Russell, University of California](https://www.youtube.com/watch?v=ApGusxR7JAc) (Stuart Russell)\n\n- [Victoria Krakovna–AGI Ruin, Sharp Left Turn, Paradigms of AI Alignment](https://www.youtube.com/watch?v=ZpwSNiLV-nw)\n\n- [David Krueger—AI Alignment](https://www.youtube.com/watch?v=bDMqo7BpNbk), [David Krueger: Existential Safety, Alignment, and Specification Problems](https://www.youtube.com/watch?v=gitJZzhLUSA)\n\n- [Holden Karnofsky - Transformative AI & Most Important Century](https://www.youtube.com/watch?v=UckqpcOu5SY)\n\n- [Katja Grace—Slowing Down AI, Forecasting AI Risk](https://www.youtube.com/watch?v=rSw3UVDZge0&t=64s)\n\n- [Shahar Avin–AI Governance](https://www.youtube.com/watch?v=3T7Gpwhtc6Q&t=85s)\n\n- [Markus Anderljung–Regulating Advanced AI](https://www.youtube.com/watch?v=DD303irN3ps&t=140s)\n\n- [A Conversation with John Wentworth](https://www.youtube.com/watch?v=OXbw_HXAyU4)\n\n- [Connor Leahy | Promising Paths to Alignment](https://www.youtube.com/watch?v=G4NcHrCz8yE)\n\n- [Prosaic Intent Alignment](https://www.youtube.com/watch?v=PaHqqRy_Gww) (Paul Christiano)\n\n- [Timelines for Transformative AI and Language Model Alignment | Ajeya Cotra](https://www.youtube.com/watch?v=FIYOtZW8yEM)\n\n- [AI Research Considerations for Existential Safety](https://www.youtube.com/watch?v=qh666c6j4mk) (Andrew Critch)\n\n- [A Conversation with Vanessa Kosoy](https://www.youtube.com/watch?v=N-fscpxMIos)\n\n- [Causal foundations for safe AGI - Tom Everitt (DeepMind)](https://www.youtube.com/watch?v=FYTJui0MC24)\n\n- [Differential Progress in Cooperative AI: Motivation and Measurement](https://www.youtube.com/watch?v=yr5rQKFrofI) (Jesse Clifton and Sammy Martin)\n\n- [Open-source learning: A bargaining approach | Jesse Clifton | EA Global: London 2019](https://www.youtube.com/watch?v=QKRDp8nUMtk)\n\n- [Jan Leike - AI alignment at OpenAI](https://www.youtube.com/watch?v=vW89UcvMfjQ)\n\n- [AGISF - Research questions for the most important century - Holden Karnofsky](https://www.youtube.com/watch?v=CUziAFXsK0o)\n\n- [Scott Aaronson Talks AI safety](https://www.youtube.com/watch?v=fc-cHk9yFpg)\n\n- [BI 151 Steve Byrnes: Brain-like AGI Safety](https://www.youtube.com/watch?v=w7k3o5uIBjs)\n\n- [Stuart Armstrong - How Could We Align AI?](https://www.youtube.com/watch?v=sQgvZAml950)\n\n- [SDS 597: A.I. Policy at OpenAI — with Miles Brundage](https://www.youtube.com/watch?v=r4AUs2OC2OY)\n\n- [Owain Evans - Predicting the future of AI](https://www.youtube.com/watch?v=dea1XQojRmw)\n\n- [Ethan Perez | Discovering language model behaviors with model-written evaluations](https://www.youtube.com/watch?v=-6grYve_kWY)\n\n- [Helen Toner - The strategic and security implications of AI](https://www.youtube.com/watch?v=dqoBBAsZ4J0)\n\n### Reasoning about future AI\n\n- [Optimal Policies Tend To Seek Power](https://neurips.cc/virtual/2021/poster/28400) (Alex Turner at NeurIPS 2021)\n\n- [AI \"Stop Button\" Problem - Computerphile](https://www.youtube.com/watch?v=3TYT1QfdfsM)\n\n- [Intelligence and Stupidity: The Orthogonality Thesis](https://www.youtube.com/watch?v=hEUO6pjwFOo)\n\n- [Why Would AI Want to do Bad Things? Instrumental Convergence](https://www.youtube.com/watch?v=ZeecOKBus3Q)\n\n- [Without specific countermeasures, the easiest path to transformative AI likely leads to AI takeover](https://www.youtube.com/watch?v=EIhE84kH2QI)\n\n- [Existential Risk from Power-Seeking AI (Joe Carlsmith)](https://www.youtube.com/watch?v=UbruBnv3pZU)\n\n### AI Governance\n\n- [Markus Anderljung Regulating increasingly advanced AI some hypotheses](https://www.youtube.com/watch?v=xtNrm-EXRjI)\n\n- [Sam Altman and William G. Gale discuss Taxation Solutions for Advanced AI](https://www.youtube.com/watch?v=sfnScBUwwMU)\n\n- [Paul Scharre & Helen Toner on AI Capabilities & the Nature of Warfare](https://www.youtube.com/watch?v=LjGwEx5Ob0U)\n\n- [Why governing AI is our opportunity to shape the long-term future? | Jade Leung | TEDxWarwickSalon](https://www.youtube.com/watch?v=qjcA3rYzo54) + [Priorities in AGI governance research | Jade Leung | EA Global: SF 22](https://www.youtube.com/watch?v=OfmL45J6tYs)\n\n- [An Introduction to AI Governance | Ben Garfinkel | EAGxVirtual 2022](https://www.youtube.com/watch?v=NNmkz_DfR9w)\n\n- [The Windfall Clause: Sharing the benefits of advanced AI | Cullen O’Keefe](https://www.youtube.com/watch?v=vFDL-NxY610) + [Sharing the Benefits of AI: The Windfall Clause](https://www.youtube.com/watch?v=7i_f4Kbpgn4) (Rob Miles)\n\n- [Margaret Roberts & Jeffrey Ding: Censorship’s Implications for Artificial Intelligence](https://www.youtube.com/watch?v=4MSAApBYgWc)\n\n- [Preparing for AI: risks and opportunities | Allan Dafoe | EAG 2017 London](https://www.youtube.com/watch?v=RWKHx2bE1H4) + [AI Strategy, Policy, and Governance | Allan Dafoe](https://www.youtube.com/watch?v=2IpJ8TIKKtI)\n\n- [More than Deepfakes](https://www.youtube.com/watch?v=-oesD7CXmGs) (Katerina Sedova and John Bansemer)\n\n- [AI and the Development, Displacement, or Destruction of the Global Legal Order](https://www.youtube.com/watch?v=a1gREVAQP58) (Matthijs Maas)\n\n- [Future-proofing AI Governance | The Athens Roundtable on AI and the Rule of Law 2022](https://www.youtube.com/watch?v=ZYacyf5Pqtk)\n\n- [Having Our Cake and Eating It Too with Amanda Askell](https://www.youtube.com/watch?v=WpiJtyPLvWo) (covers incentives in AI development)\n\n- [AI Ethics Seminar with Matthijs Maas - Pausing AI & Technological Restraint - April 25, 2023](https://www.youtube.com/watch?v=vn4ADfyrJ0Y)\n\n### Ethics\n\n- [2022 Annual Uehiro Lectures in Practical Ethics, 'Ethics and Artificial Intelligence’](https://www.practicalethics.ox.ac.uk/uehiro-lectures-2022)\n\n### Career planning\n\n- [How I think students should orient to AI safety | Buck Shlegeris | EA Student Summit 2020](https://www.youtube.com/watch?v=R6Mzt4GwQnQ)\n\n- [Getting Started in AI safety | Olivia Jimenez, Akash Wasil | EAGxVirtual 2022](https://www.youtube.com/watch?v=di8XHw1y71A)\n\n- [AGISF - Careers in AI Alignment and Governance - Alex Lawsen](https://www.youtube.com/watch?v=pbt_1zRa7zE)\n\n- [Catherine Olsson & Daniel Ziegler on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/olsson-and-ziegler-ml-engineering-and-safety/)\n\n- [AI safety Careers | Rohin Shah, Lewis Hammond and Jamie Bernardi | EAGxOxford 22](https://www.youtube.com/watch?v=kwoAepfZ6co)\n\n- [Early-Career Opportunities in AI Governance | Lennart Heim, Caroline Jeanmaire | EAGxOxford 22](https://www.youtube.com/watch?v=xZSazcEy-ms&t=1910s)\n\n- [Artificial Intelligence Career Stories | EA Student Summit 2020](https://www.youtube.com/watch?v=FjMqY8hHK7Y)\n\n### Forecasting\n\n- [Will AI end everything? A guide to guessing | Katja Grace | EAG Bay Area 23](https://www.youtube.com/watch?v=j5Lu01pEDWA)\n\n- [Neural Scaling Laws and GPT-3](https://www.youtube.com/watch?v=QMqPAM_knrE) (Jared Kaplan)\n\n- [WHY AND HOW OF SCALING LARGE LANGUAGE MODELS | NICHOLAS JOSEPH](https://www.youtube.com/watch?v=qscouq3lo0s)\n\n- [Jack Clark Presenting the 2022 AI Index Report](https://www.youtube.com/watch?v=1xLxlMdcbpM)\n\n- [Reasons you might think human level AI soon is unlikely | Asya Bergal | EAGxVirtual 2020](https://www.youtube.com/watch?v=oFJcvyxpGSo)\n\n- [Existential Risk Pessimism and the Time of Perils | David Thorstad | EAGxOxford 22](https://www.youtube.com/watch?v=gn64IZ_wijk)\n\n- [Alex Lawsen—Forecasting AI Progress](https://www.youtube.com/watch?v=vLkasevJP5c) and [Alex Lawsen forecasting videos](https://www.youtube.com/channel/UCz_CdUW34eb9jePo-6VsLLQ/videos)\n\n- [Betting on AI is like betting on semiconductors in the 70's | Danny Hernandez | EA Global: SF 22](https://www.youtube.com/watch?v=MryjWfCBeg4) + [Danny Hernandez on the 80,000 Hours Podcast](https://80000hours.org/podcast/episodes/danny-hernandez-forecasting-ai-progress/)\n\n- [AI safety | Katja Grace | EA Global: San Francisco 2017](https://www.youtube.com/watch?v=r91Co5CeOCY)\n\n- [Experts' Predictions about the Future of AI](https://www.youtube.com/watch?v=HOJ1NVtlnyQ)\n\n- [Economic Growth in the Long Run: Artificial Intelligence Explosion or an Empty Planet?](https://www.youtube.com/watch?v=Qhmt9CuV6tU)\n\n- [Katja Grace—Slowing Down AI, Forecasting AI Risk](https://www.youtube.com/watch?v=rSw3UVDZge0)\n\n- [Sam Bowman - Are we *under-hyping* AI?](https://www.youtube.com/watch?v=X3pzKjom7HE)\n\n- [Moore's Law, exponential growth, and extrapolation!](https://www.youtube.com/watch?v=iu-DgigiyeA) (Steve Brunton)\n\n### Capabilities\n\n- [Satya Nadella Full Keynote Microsoft Ignite 2022](https://www.youtube.com/watch?v=pdSfgRYy8Ao&t=745s) with Sam Altman, start at 12:25\n\n- [Competition-Level Code Generation with AlphaCode (Paper Review)](https://www.youtube.com/watch?v=s9UAOmyah1A)\n\n- [It’s Time to Pay Attention to A.I. (ChatGPT and Beyond)](https://www.youtube.com/watch?v=0uQqMxXoNVs)\n\n- [The text-to-image revolution, explained](https://www.youtube.com/watch?v=SVcsDDABEkM) + [How the World Cup’s AI instant replay works](https://www.youtube.com/watch?v=C164kYMGV1A) (Vox)\n\n- [Creating a Space Game with OpenAI Codex](https://www.youtube.com/watch?v=Zm9B-DvwOgw)\n\n### How AI works\n\n- [AGISF Week 0 Intro to ML](https://www.youtube.com/watch?v=v5c2Ll9129k)\n\n- [Stanford CS25 - Transformers United](https://www.youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n\n- [Transformers, explained: Understand the model behind GPT, BERT, and T5](https://www.youtube.com/watch?v=SZorAJ4I-sA); [Transformers for beginners | What are they and how do they work](https://www.youtube.com/watch?v=_UVfwBqcnbM)\n\n- [Reinforcement learning playlist](https://www.youtube.com/playlist?list=PLMrJAkhIeNNQe1JXNvaFvURxGY4gE9k74) (Steve Brunton)\n\n- [How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile](https://www.youtube.com/watch?v=1CIpzeNxIhU) + [Stable Diffusion in Code (AI Image Generation) - Computerphile](https://www.youtube.com/watch?v=-lz30by8-sU)\n\n- [Attention in Neural Networks](https://www.youtube.com/watch?v=W2rWgXJBZhU)\n\n- [What is a transformer?](https://www.youtube.com/watch?v=VMvpQhNkm8w&list=PL7m7hLIqA0hoIUPhC26ASCVs_VrqcDpAz&index=2) + [Implementing GPT-2 from scratch](https://www.youtube.com/watch?v=R9t-VS6PM3M&list=PL7m7hLIqA0hoIUPhC26ASCVs_VrqcDpAz&index=2) (Neel Nanda)\n\n- [The spelled-out intro to neural networks and backpropagation: building micrograd](https://www.youtube.com/watch?v=VMj-3S1tku0)\n\n- [Neural Networks (3Blue1Brown)](https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi)\n\n- [DeepMind x UCL RL Lecture Series - Introduction to Reinforcement Learning [1/13]](https://www.youtube.com/watch?v=TCCjZe0y4Qc)\n\n- [Generative Adversarial Networks (GANs) - Computerphile](https://www.youtube.com/watch?v=Sw9r8CL98N0)\n\n- [Deep Learning for Computer Vision (Justin Johnson) lecture videos](https://web.eecs.umich.edu/~justincj/teaching/eecs498/WI2022/schedule.html)\n\n- [CS25 I Stanford Seminar - Transformers United: DL Models that have revolutionized NLP, CV, RL](https://www.youtube.com/watch?v=P127jhj-8-Y&list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM)\n\n- [Broderick: Machine Learning, MIT 6.036 Fall 2020](https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV) + [course page](https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/course/)\n\n- [DEEP LEARNING - DS-GA 1008 · Spring 2020 · NYU](https://atcold.github.io/pytorch-Deep-Learning/)\n\n- [Practical Deep Learning course | fast.ai](https://course.fast.ai/)\n\n- [Hugging Face NLP Course](https://huggingface.co/course)\n\n### China\n\n- [Re-deciphering China’s AI dream | Jeffrey Ding | EA Global: London 2019](https://www.youtube.com/watch?v=1mExA_xdgnA)\n\n- [Sino-Western cooperation in AI safety | Brian Tse | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=3qYmLRqemg4)\n\n- [China's Long-Term Investments in AI Growth](https://www.youtube.com/watch?v=ex0O0qBB2Xg)\n\n- [Why China is losing the microchip war](https://www.youtube.com/watch?v=Uh4QGey2zTk) (Vox)\n\n### Rationality\n\n- [Effective behavior change | Spencer Greenberg | EA Global: San Francisco 2019](https://www.youtube.com/watch?v=ulLQE3g_KRI)\n\n- [Making high impact decisions | Anna Edmonds | EA Global: SF 22](https://www.youtube.com/watch?v=_r8HL8UiLYI)\n\n- [Decision-making workshop: learn how to make better decisions | Spencer Greenberg](https://www.youtube.com/watch?v=bXJ6U13SSmA)\n\n- [Decoupling: a technique for reducing bias | David Manley | EA Student Summit 2020](https://www.youtube.com/watch?v=GNBIsChKWpc)\n\n- [Rationality & Alignment | Ruby Bloom | EA Global: SF 22](https://www.youtube.com/watch?v=6rw6A7BL5W4)\n\n### Debates / discussions between people with different perspectives\n\n- [Existential Risks of AI - Debate with Stuart Russell at Pakhuis de Zwijger](https://www.youtube.com/watch?v=vGQDctxwy2E)\n\n### Misc\n\n- [Slaughterbots](https://www.youtube.com/watch?v=9CO6M2HsoIA) + [Why We Should Ban Lethal Autonomous Weapons](https://www.youtube.com/watch?v=LVwD-IZosJE) + [A.I. Is Making it Easier to Kill (You). Here’s How. | NYT](https://www.youtube.com/watch?v=GFD_Cgr2zho)\n\n- [Tobias Baumann on Artificial Sentience and Reducing the Risk of Astronomical Suffering](https://www.youtube.com/watch?v=C1J7NLpPzlM)\n\n- [The Doomsday Argument](https://www.youtube.com/watch?v=dSvgw9ZOK3I) | PBS Space Time\n\n- [How will AI change the world?](https://www.youtube.com/watch?v=RzkD_rTEBYs)\n\n- [Forming your own views on AI safety (without stress!) | Neel Nanda | EA Global: SF 22](https://www.youtube.com/watch?v=edoQ3CiNa_s) – also see [Neel's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" doc\n\n- [Applied Linear Algebra Lectures](https://www.youtube.com/playlist?list=PLiayR7yJx8-aCfBlccBjF1t-UO86fZJVu) (John Wentworth)\n\n- [AI alignment, philosophical pluralism, and the relevance of non-Western philosophy | Tan Zhi Xuan](https://www.youtube.com/watch?v=dbMp4pFVwnU)\n\n- [Anders Sandberg on Information Hazards](https://www.youtube.com/watch?v=Wn2vgQGNI_c&list=PLFDYxsqlH6uhSghWfsuEAiKDfZNVZhUOX&index=1)\n\n- [Reframing superintelligence | Eric Drexler | EA Global: London 2018](https://www.youtube.com/watch?v=MircoV5LKvg)\n\n- [Robin Hanson | The Age of Em](https://www.youtube.com/watch?v=eK5qxAA60PQ)\n\n- [AlphaGo - The Movie | Full award-winning documentary](https://www.youtube.com/watch?v=WXuK6gekU1Y)\n\n- [Should We Build Superintelligence?](https://www.youtube.com/watch?v=xLYE11yW-hQ)\n\n- [Moloch section of Liv Boeree interview with Lex Fridman](https://youtu.be/eF-E40pxxbI?t=4444) (and [Ginsberg](https://youtu.be/x-P2fILsLH8?t=980))\n\n- [Recordings of talks](https://vimeo.com/user196160056) from the [Japan AI Alignment Conference](https://jac2023.ai/)\n\n- [ChatGPT in Context. Part 1 - The Transformer, a Revolution in Computation](https://www.youtube.com/watch?v=X3gtDGX7hIs) (Piero Scaruffi)\n\n- [Is AI (ChatGPT, etc.) Sentient? A Perspective from Early Buddhist Psychology](https://www.youtube.com/watch?v=bPtuwBgalEU)\n\n## Watching videos in a group\n\n### Discussion prompts\n\n- [Paul Christiano on AI alignment - discussion](https://docs.google.com/document/d/1TALeBEoLdOPNQqOdah542TUuPwQ06UDSSE59eQP8MMA/edit) + [Paul Christiano alignment chart](https://docs.google.com/document/d/1hyqCSsX1mjzepHONO3p2baaIfDOLTzJGhfSUS4uov-s/edit)\n\n- [Allan Dafoe on AI strategy, policy, and governance - discussion](https://docs.google.com/document/d/1cGteO2yILEtgWN_ILL6FgCrRxzCaFbikz1jGdiDF_zU/edit#)\n\n- [Vael Gates: Researcher Perceptions of Current and Future AI - discussion](https://docs.google.com/document/d/1-MPJWcJtnlZzSx1H9J7JxUeRl-UOr4MgcWPVVfWP8zY/edit?usp=sharing)\n\n- [Sam Harris and Eliezer Yudkowsky on “AI: Racing Toward the Brink” -- discussion](https://docs.google.com/document/d/155RJRbdAui7e5yfjrkDnntZ4qrcZY9kyYsVqBAGZnis/edit)\n\n### Higher-level meeting tips\n\n- Show the video → people discuss afterwards with prompts\n\n- **Active learning techniques:** [here](https://teaching.cornell.edu/getting-started-active-learning-techniques)\n\n- You can **skip around** through parts of the video!\n\n- See “[Discussion Groups](https://resources.eagroups.org/events-program-ideas/single-day-events/discussion-groups)” from the EA Groups Resource Center\n\n- Make the official meeting end after 1 hour so people are free to leave, but give people the option to linger for longer and continue their discussion.\n\n- You can also do **readings instead of videos**, similar to [this](https://aisafetyfundamentals.com/alignment-insession-readings). Or **play around with a model** (e.g. test out hypotheses about how a language model works).\n\n- Try to keep the video portion to under 20 minutes unless the video is really interesting.\n\n- For a short video you could watch one of Apart’s [ML + AI safety updates](https://www.youtube.com/watch?v=saiqSZkDBSk). Some of these contain many topics, so people can discuss what they find interesting.\n\n```" } }, { @@ -43538,7 +43538,7 @@ }, "Last Asked On Discord": "2023-02-26T18:24:41.911+01:00", "Alternate Phrasings": "", - "Rich Text": "```This document is somewhat organized based on projects focusing on [AI safety technical research](https://80000hours.org/career-reviews/ai-safety-researcher/) and projects focusing on [AI policy](https://80000hours.org/career-reviews/ai-policy-and-strategy/).\n\nConsider joining some **online AI safety communities** (see [aisafety.community](https://aisafety.community/)) and asking for feedback or ideas.\n\n### Technical AI safety\n\n- [Levelling Up in AI Safety Research Engineering [Public]](https://docs.google.com/document/d/1b83_-eo9NEaKDKc9R3P5h5xkLImqMw8ADLmi__rkLo4/edit) ([LW](https://www.lesswrong.com/posts/uLstPRyYwzfrx3enG/levelling-up-in-ai-safety-research-engineering))\n\n - Highly recommended list of AI safety research engineering resources for people at various skill levels.\n\n- **[Alignment Jams / hackathons](https://alignmentjam.com/)** from [Apart Research](https://apartresearch.com/jam)\n\n - Some past / upcoming hackathons: [LLM](https://itch.io/jam/llm-hackathon), [interpretability 1](https://itch.io/jam/interpretability), [AI test](https://itch.io/jam/aitest), [interpretability 2](https://itch.io/jam/ai-neuroscience), [oversight](https://itch.io/jam/scaleoversight), [governance](https://itch.io/jam/ai-gov)\n\n - Resources: [black-box investigator of language models](https://www.lesswrong.com/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language), [interpretability playground](https://alignmentjam.com/interpretability-playground) ([LW](https://www.lesswrong.com/posts/gJRsiukrNudHLGgCf/the-interpretability-playground)), [AI test](https://alignmentjam.com/aitest), [oversight](https://alignmentjam.com/oversight), [governance](https://alignmentjam.com/ai-governance)\n\n - [Examples of past projects](https://alignmentjam.com/jams); [interpretability winners](https://www.lesswrong.com/posts/hhhmcWkgLwPmBuhx7/results-from-the-interpretability-hackathon)\n\n - Projects on AI Safety Ideas: [LLM](https://aisafetyideas.com/), [interpretability](https://aisafetyideas.com/list/interpretability-hackathon), [AI test](https://aisafetyideas.com/list/test-the-ai),\n\n - [How to run one](https://alignmentjam.com/running) as an in-person event at your school\n\n- **[200 Concrete Open Problems in Mechanistic Interpretability](https://www.lesswrong.com/s/yivyHaCAmMJ3CqSyj)** by Neel Nanda\n\n- [Center for AI Safety](https://safe.ai/)\n\n - **[Competitions](https://www.safe.ai/field-building)**\n\n - **[Student ML Safety Research Stipend Opportunity](https://www.mlsafety.org/safety-scholarship)** – provides stipends for doing ML research.\n\n- [Projects week from the alignment track of AI Safety Fundamentals](https://aisafetyfundamentals.com/ai-alignment-tabs/week-8)\n\n- [Victoria Krakovna's compilation of project ideas](https://vkrakovna.wordpress.com/ai-safety-resources/#project_ideas)\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://forum.effectivealtruism.org/s/8EqNwueP6iw2BQpNo/p/hNPCo4kScxccK9Ham)\n\n- ["Technical/theoretical AI safety/alignment"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#Technical_theoretical_AI_safety_alignment) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- [Possible ways to expand on "Discovering Latent Knowledge in Language Models Without Supervision"](https://www.lesswrong.com/posts/bFwigCDMC5ishLz7X/rfc-possible-ways-to-expand-on-discovering-latent-knowledge)\n\n- [AI Alignment Awards](https://www.alignmentawards.com/), a contest that concluded in May of 2023\n\n- Answer some of the [application questions](https://docs.google.com/document/d/1J0jRKfWrNUakiIBbbpw7q3i27Rw9XCLSJvW6659NhRU/edit#) from the winter 2022 [SERI-MATS](https://www.serimats.org/), such as [Vivek Hebbar's problems](https://docs.google.com/document/d/1NVVtdsfz7HiseVFSk3jYly4sPG4dG03wFFDrD8rBXU0/edit)\n\n- [[T] Deception Demo Brainstorm](https://docs.google.com/document/d/1HLnd7IGyX7ByrnBUZQH6fbneox2jwZ7LRGQw-esc-uU/edit) has some ideas (message [Thomas Larsen](https://www.lesswrong.com/users/thomas-larsen) if these seem interesting)\n\n- [Alignment research at ALTER](https://forum.effectivealtruism.org/posts/zCYGbYAaXeq7v67Km/prize-and-fast-track-to-alignment-research-at-alter) – interesting research problems, many have a theoretical math flavor\n\n- Steven Byrnes: [[Intro to brain-like-AGI safety] 15. Conclusion: Open problems, how to help, AMA](https://www.lesswrong.com/posts/tj8AC3vhTnBywdZoA/intro-to-brain-like-agi-safety-15-conclusion-open-problems-1)\n\n- Evan Hubinger: [Concrete experiments in inner alignment](https://www.lesswrong.com/posts/uSdPa9nrSgmXCtdKN/concrete-experiments-in-inner-alignment), [ideas someone should investigate further](https://www.alignmentforum.org/posts/HE3Styo9vpk7m8zi4/evhub-s-shortform?commentId=cPPvFFLLkMuh9k5Zx), [sticky goals](https://www.lesswrong.com/posts/a2Bxq4g2sPZwKiQmK/sticky-goals-a-concrete-experiment-for-understanding)\n\n- Richard Ngo: [Some conceptual alignment research projects](https://www.lesswrong.com/posts/27AWRKbKyXuzQoaSk/some-conceptual-alignment-research-projects), [alignment research exercises](https://www.lesswrong.com/posts/kj37Hzb2MsALwLqWt/alignment-research-exercises)\n\n- Buck Shlegeris: [Some fun ML engineering projects that I would think are cool](https://docs.google.com/document/d/1yMP9i6cQQwHG1ITOtccUkuN3p9eTk1AtzOM8TP-mZVs/edit), [The case for becoming a black box investigator of language models](https://www.alignmentforum.org/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language)\n\n- Implement a [key paper](https://spinningup.openai.com/en/latest/spinningup/keypapers.html) in deep reinforcement learning\n\n- “Paper replication resources” section in “[How to pursue a career in technical alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment)”\n\n- [ELK](https://www.alignmentforum.org/tag/eliciting-latent-knowledge-elk)\n\n- Zac Hatfield-Dodds: “The list I wrote up for 2021 final-year-undergrad projects is at [https://zhd.dev/phd/student-ideas.html](https://zhd.dev/phd/student-ideas.html) - note that these are aimed at software engineering rather than ML, NLP, or AI Safety per se (most of those ideas I have stay at Anthropic, and are probably infeasible for student projects).” These projects are good for [AI safety engineering careers](https://www.alignmentforum.org/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers).\n\n- [Daniel Filan’s idea](https://www.lesswrong.com/posts/WgMhovN7Gs6Jpn3PH/danielfilan-s-shortform-feed?commentId=aEbnazFXn6GFym8kv)\n\n- [Owain Evans + Stuart Armstrong: “AI Safety Research Project Ideas”](https://www.alignmentforum.org/posts/f69LK7CndhSNA7oPn/ai-safety-research-project-ideas)\n\n### AI policy/strategy/governance\n\n- [[Public] Some AI Governance Research Ideas](https://docs.google.com/document/d/13LJhP3ksrcEBKxYFG5GkJaC2UoxHKUYAHCRdRlpePEc/edit) (from GovAI)\n\n- **[AI Governance Needs Technical Work](https://forum.effectivealtruism.org/posts/BJtekdKrAufyKhBGw/ai-governance-needs-technical-work)**\n\n- [Week 9: Projects](https://course.aisafetyfundamentals.com/governance?week=9) for the AI Safety Fundamentals course on AI governance\n\n- The [Alignment Jams / hackathons](https://alignmentjam.com/) from [Apart Research](https://apartresearch.com/jam) sometimes focus on AI governance\n\n- ["AI policy/strategy/governance"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#AI_policy_strategy_governance) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- **[Alignment Jams / hackathons](https://alignmentjam.com/)** from [Apart Research](https://apartresearch.com/jam)\n\n - [AI Governance Alignment Jam](https://itch.io/jam/ai-gov) and [its resources](https://alignmentjam.com/ai-governance)\n\n### Both technical research and AI governance\n\n- **[2023 Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/)**\n\n- **[AI Safety Ideas](https://aisafetyideas.com/)** by Apart Research; [EA Forum post](https://forum.effectivealtruism.org/posts/DTTADonxnDRoksp4E/ai-safety-ideas-an-open-ai-safety-research-platform)\n\n- **[Distilling / summarizing / synthesizing / reviewing / explaining](https://www.lesswrong.com/posts/zo9zKcz47JxDErFzQ/call-for-distillers)**\n\n- **[Forming your own views on AI safety (without stress!)](https://www.youtube.com/watch?v=edoQ3CiNa_s)** – also see [Neel's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" doc\n\n- **[10 exercises from Akash](https://forum.effectivealtruism.org/posts/BBS8cz4Sa7wvJ2Jso/resources-that-i-think-new-alignment-researchers-should-know#Exercises)** in “Resources that (I think) new alignment researchers should know about”\n\n- [Most Important Century writing prize](https://forum.effectivealtruism.org/posts/4XK5zkyv94voC8Fjr/announcing-the-most-important-century-writing-prize) ([Superlinear page](https://www.super-linear.org/prize?recordId=recmsHjuOh5JmVJWJ))\n\n- [Important, actionable research questions for the most important century](https://forum.effectivealtruism.org/posts/zGiD94SHwQ9MwPyfW/important-actionable-research-questions-for-the-most) (Holden Karnofsky)\n\n- [Amplify creative grants](https://forum.effectivealtruism.org/posts/pLiEoTuwEYRxNueoD/announcing-amplify-creative-grants) (old)\n\n- Summarize a reading from [Reading What We Can](https://readingwhatwecan.com/)\n\n```" + "Rich Text": "```This document is somewhat organized based on projects focusing on [AI safety technical research](https://80000hours.org/career-reviews/ai-safety-researcher/) and projects focusing on [AI policy](https://80000hours.org/career-reviews/ai-policy-and-strategy/).\n\nConsider joining some **online AI safety communities** (see [aisafety.community](https://aisafety.community/)) and asking for feedback or ideas.\n\n### Technical AI safety\n\n- [Levelling Up in AI safety Research Engineering [Public]](https://docs.google.com/document/d/1b83_-eo9NEaKDKc9R3P5h5xkLImqMw8ADLmi__rkLo4/edit) ([LW](https://www.lesswrong.com/posts/uLstPRyYwzfrx3enG/levelling-up-in-ai-safety-research-engineering))\n\n - Highly recommended list of AI safety research engineering resources for people at various skill levels.\n\n- **[Alignment Jams / hackathons](https://alignmentjam.com/)** from [Apart Research](https://apartresearch.com/jam)\n\n - Some past / upcoming hackathons: [LLM](https://itch.io/jam/llm-hackathon), [interpretability 1](https://itch.io/jam/interpretability), [AI test](https://itch.io/jam/aitest), [interpretability 2](https://itch.io/jam/ai-neuroscience), [oversight](https://itch.io/jam/scaleoversight), [governance](https://itch.io/jam/ai-gov)\n\n - Resources: [black-box investigator of language models](https://www.lesswrong.com/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language), [interpretability playground](https://alignmentjam.com/interpretability-playground) ([LW](https://www.lesswrong.com/posts/gJRsiukrNudHLGgCf/the-interpretability-playground)), [AI test](https://alignmentjam.com/aitest), [oversight](https://alignmentjam.com/oversight), [governance](https://alignmentjam.com/ai-governance)\n\n - [Examples of past projects](https://alignmentjam.com/jams); [interpretability winners](https://www.lesswrong.com/posts/hhhmcWkgLwPmBuhx7/results-from-the-interpretability-hackathon)\n\n - Projects on AI safety Ideas: [LLM](https://aisafetyideas.com/), [interpretability](https://aisafetyideas.com/list/interpretability-hackathon), [AI test](https://aisafetyideas.com/list/test-the-ai),\n\n - [How to run one](https://alignmentjam.com/running) as an in-person event at your school\n\n- **[200 Concrete Open Problems in Mechanistic Interpretability](https://www.lesswrong.com/s/yivyHaCAmMJ3CqSyj)** by Neel Nanda\n\n- [Center for AI safety](https://safe.ai/)\n\n - **[Competitions](https://www.safe.ai/field-building)**\n\n - **[Student ML Safety Research Stipend Opportunity](https://www.mlsafety.org/safety-scholarship)** – provides stipends for doing ML research.\n\n- [Projects week from the alignment track of AI safety Fundamentals](https://aisafetyfundamentals.com/ai-alignment-tabs/week-8)\n\n- [Victoria Krakovna's compilation of project ideas](https://vkrakovna.wordpress.com/ai-safety-resources/#project_ideas)\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://forum.effectivealtruism.org/s/8EqNwueP6iw2BQpNo/p/hNPCo4kScxccK9Ham)\n\n- ["Technical/theoretical AI safety/alignment"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#Technical_theoretical_AI_safety_alignment) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- [Possible ways to expand on "Discovering Latent Knowledge in Language Models Without Supervision"](https://www.lesswrong.com/posts/bFwigCDMC5ishLz7X/rfc-possible-ways-to-expand-on-discovering-latent-knowledge)\n\n- [AI Alignment Awards](https://www.alignmentawards.com/), a contest that concluded in May of 2023\n\n- Answer some of the [application questions](https://docs.google.com/document/d/1J0jRKfWrNUakiIBbbpw7q3i27Rw9XCLSJvW6659NhRU/edit#) from the winter 2022 [SERI-MATS](https://www.serimats.org/), such as [Vivek Hebbar's problems](https://docs.google.com/document/d/1NVVtdsfz7HiseVFSk3jYly4sPG4dG03wFFDrD8rBXU0/edit)\n\n- [[T] Deception Demo Brainstorm](https://docs.google.com/document/d/1HLnd7IGyX7ByrnBUZQH6fbneox2jwZ7LRGQw-esc-uU/edit) has some ideas (message [Thomas Larsen](https://www.lesswrong.com/users/thomas-larsen) if these seem interesting)\n\n- [Alignment research at ALTER](https://forum.effectivealtruism.org/posts/zCYGbYAaXeq7v67Km/prize-and-fast-track-to-alignment-research-at-alter) – interesting research problems, many have a theoretical math flavor\n\n- Steven Byrnes: [[Intro to brain-like-AGI safety] 15. Conclusion: Open problems, how to help, AMA](https://www.lesswrong.com/posts/tj8AC3vhTnBywdZoA/intro-to-brain-like-agi-safety-15-conclusion-open-problems-1)\n\n- Evan Hubinger: [Concrete experiments in inner alignment](https://www.lesswrong.com/posts/uSdPa9nrSgmXCtdKN/concrete-experiments-in-inner-alignment), [ideas someone should investigate further](https://www.alignmentforum.org/posts/HE3Styo9vpk7m8zi4/evhub-s-shortform?commentId=cPPvFFLLkMuh9k5Zx), [sticky goals](https://www.lesswrong.com/posts/a2Bxq4g2sPZwKiQmK/sticky-goals-a-concrete-experiment-for-understanding)\n\n- Richard Ngo: [Some conceptual alignment research projects](https://www.lesswrong.com/posts/27AWRKbKyXuzQoaSk/some-conceptual-alignment-research-projects), [alignment research exercises](https://www.lesswrong.com/posts/kj37Hzb2MsALwLqWt/alignment-research-exercises)\n\n- Buck Shlegeris: [Some fun ML engineering projects that I would think are cool](https://docs.google.com/document/d/1yMP9i6cQQwHG1ITOtccUkuN3p9eTk1AtzOM8TP-mZVs/edit), [The case for becoming a black box investigator of language models](https://www.alignmentforum.org/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language)\n\n- Implement a [key paper](https://spinningup.openai.com/en/latest/spinningup/keypapers.html) in deep reinforcement learning\n\n- “Paper replication resources” section in “[How to pursue a career in technical alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment)”\n\n- [ELK](https://www.alignmentforum.org/tag/eliciting-latent-knowledge-elk)\n\n- Zac Hatfield-Dodds: “The list I wrote up for 2021 final-year-undergrad projects is at [https://zhd.dev/phd/student-ideas.html](https://zhd.dev/phd/student-ideas.html) - note that these are aimed at software engineering rather than ML, NLP, or AI safety per se (most of those ideas I have stay at Anthropic, and are probably infeasible for student projects).” These projects are good for [AI safety engineering careers](https://www.alignmentforum.org/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers).\n\n- [Daniel Filan’s idea](https://www.lesswrong.com/posts/WgMhovN7Gs6Jpn3PH/danielfilan-s-shortform-feed?commentId=aEbnazFXn6GFym8kv)\n\n- [Owain Evans + Stuart Armstrong: “AI safety Research Project Ideas”](https://www.alignmentforum.org/posts/f69LK7CndhSNA7oPn/ai-safety-research-project-ideas)\n\n### AI policy/strategy/governance\n\n- [[Public] Some AI Governance Research Ideas](https://docs.google.com/document/d/13LJhP3ksrcEBKxYFG5GkJaC2UoxHKUYAHCRdRlpePEc/edit) (from GovAI)\n\n- **[AI Governance Needs Technical Work](https://forum.effectivealtruism.org/posts/BJtekdKrAufyKhBGw/ai-governance-needs-technical-work)**\n\n- [Week 9: Projects](https://course.aisafetyfundamentals.com/governance?week=9) for the AI safety Fundamentals course on AI governance\n\n- The [Alignment Jams / hackathons](https://alignmentjam.com/) from [Apart Research](https://apartresearch.com/jam) sometimes focus on AI governance\n\n- ["AI policy/strategy/governance"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#AI_policy_strategy_governance) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- **[Alignment Jams / hackathons](https://alignmentjam.com/)** from [Apart Research](https://apartresearch.com/jam)\n\n - [AI Governance Alignment Jam](https://itch.io/jam/ai-gov) and [its resources](https://alignmentjam.com/ai-governance)\n\n### Both technical research and AI governance\n\n- **[2023 Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/)**\n\n- **[AI safety Ideas](https://aisafetyideas.com/)** by Apart Research; [EA Forum post](https://forum.effectivealtruism.org/posts/DTTADonxnDRoksp4E/ai-safety-ideas-an-open-ai-safety-research-platform)\n\n- **[Distilling / summarizing / synthesizing / reviewing / explaining](https://www.lesswrong.com/posts/zo9zKcz47JxDErFzQ/call-for-distillers)**\n\n- **[Forming your own views on AI safety (without stress!)](https://www.youtube.com/watch?v=edoQ3CiNa_s)** – also see [Neel's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" doc\n\n- **[10 exercises from Akash](https://forum.effectivealtruism.org/posts/BBS8cz4Sa7wvJ2Jso/resources-that-i-think-new-alignment-researchers-should-know#Exercises)** in “Resources that (I think) new alignment researchers should know about”\n\n- [Most Important Century writing prize](https://forum.effectivealtruism.org/posts/4XK5zkyv94voC8Fjr/announcing-the-most-important-century-writing-prize) ([Superlinear page](https://www.super-linear.org/prize?recordId=recmsHjuOh5JmVJWJ))\n\n- [Important, actionable research questions for the most important century](https://forum.effectivealtruism.org/posts/zGiD94SHwQ9MwPyfW/important-actionable-research-questions-for-the-most) (Holden Karnofsky)\n\n- [Amplify creative grants](https://forum.effectivealtruism.org/posts/pLiEoTuwEYRxNueoD/announcing-amplify-creative-grants) (old)\n\n- Summarize a reading from [Reading What We Can](https://readingwhatwecan.com/)\n\n```" } }, { @@ -43912,7 +43912,7 @@ }, "Last Asked On Discord": "2023-08-25T08:21:12.798+02:00", "Alternate Phrasings": "", - "Rich Text": "```[FAR AI](https://far.ai/) is a research group with a mission focused on ensuring that AI systems are both trustworthy and beneficial to society. Their research strategy is centered around four main directions:\n\n1. **ML System Vulnerability** studies how robust machine learning systems are. This involves identifying weaknesses using [adversarial testing](/?state=935A&question=What%20is%20adversarial%20training%3F) and applying methods to make the systems more resistant to those identified issues. Existing research in this direction features "[Adversarial Policies Beat Superhuman Go AIs](https://goattack.far.ai/)" and "[AI Safety in a World of Vulnerable ML Systems](https://www.alignmentforum.org/posts/ncsxcf8CkDveXBCrA/ai-safety-in-a-world-of-vulnerable-machine-learning-systems-1)." Ongoing projects cover adversarial training in [KataGo](https://en.wikipedia.org/wiki/KataGo) and [scaling laws](/?state=7750&question=What%20are%20scaling%20laws%3F) for robustness. Future research aims to explore how to adapt existing alignment techniques to tolerate failures.\n\n1. **Value Alignment** ensures that AI systems are [aligned](/?state=8EL9&question=What%20is%20AI%20alignment%3F) with human preferences and are incentivized to fulfill them. Some existing research in this field consists of "[Training Language Models with Language Feedback](https://far.ai/publication/scheurer2022training/)" and "[Pretraining Language Models with Human Preferences](https://far.ai/publication/korbak2023pretraining/)." Ongoing research works towards aligning reinforcement learning (RL) agents via image-captioning models.\n\n1. **Language Model Evaluation** assesses how scale and techniques such as [Reinforcement learning from human feedback (RLHF)](/?state=88FN&question=What%20is%20reinforcement%20learning%20from%20human%20feedback%20(RLHF)%3F) affect model performance and value alignment. Research such as "[Inverse Scaling](https://far.ai/publication/mckenzie2023inverse/)" and "[Evaluating the Moral Beliefs Encoded in LLMs](https://far.ai/publication/scherrer2023evaluating/)" falls under this umbrella.\n\n1. **Model Internals** focuses on reverse engineering ML models to understand how they function. Existing research includes "[Eliciting Latent Predictions from Transformers with the Tuned Lens](https://far.ai/publication/belrose2023tuned/)." Continuing in this line of investigation, the concept of mechanistic interpretability of [mesa-optimization](/?state=8160&question=What%20are%20%22mesa-optimizers%22%3F) seeks to further understand how some machine learning models develop their own internal methods for problem-solving. Looking ahead, FAR AI plans to set standards for what constitutes a “good” interpretability hypothesis, which means developing criteria to evaluate how well a proposed explanation helps us understand a model’s behavior.\n\nIn addition to incubating a portfolio of high-potential AI safety research agendas described above, they support projects that are:\n\n1. Too large or complex to be led by academia, or\n\n1. Un-aligned with the interests of the commercial sector as they are unprofitable.\n\nThey are following a [hits-based approach](https://www.openphilanthropy.org/research/hits-based-giving/) so they expect some of their agendas to be extremely impactful and others to have limited impact. Their goal is to rapidly identify those that work and scale them up, reallocating resources away from those that don’t.\n\n```" + "Rich Text": "```[FAR AI](https://far.ai/) is a research group with a mission focused on ensuring that AI systems are both trustworthy and beneficial to society. Their research strategy is centered around four main directions:\n\n1. **ML System Vulnerability** studies how robust machine learning systems are. This involves identifying weaknesses using [adversarial testing](/?state=935A&question=What%20is%20adversarial%20training%3F) and applying methods to make the systems more resistant to those identified issues. Existing research in this direction features "[Adversarial Policies Beat Superhuman Go AIs](https://goattack.far.ai/)" and "[AI safety in a World of Vulnerable ML Systems](https://www.alignmentforum.org/posts/ncsxcf8CkDveXBCrA/ai-safety-in-a-world-of-vulnerable-machine-learning-systems-1)." Ongoing projects cover adversarial training in [KataGo](https://en.wikipedia.org/wiki/KataGo) and [scaling laws](/?state=7750&question=What%20are%20scaling%20laws%3F) for robustness. Future research aims to explore how to adapt existing alignment techniques to tolerate failures.\n\n1. **Value Alignment** ensures that AI systems are [aligned](/?state=8EL9&question=What%20is%20AI%20alignment%3F) with human preferences and are incentivized to fulfill them. Some existing research in this field consists of "[Training Language Models with Language Feedback](https://far.ai/publication/scheurer2022training/)" and "[Pretraining Language Models with Human Preferences](https://far.ai/publication/korbak2023pretraining/)." Ongoing research works towards aligning reinforcement learning (RL) agents via image-captioning models.\n\n1. **Language Model Evaluation** assesses how scale and techniques such as [Reinforcement learning from human feedback (RLHF)](/?state=88FN&question=What%20is%20reinforcement%20learning%20from%20human%20feedback%20(RLHF)%3F) affect model performance and value alignment. Research such as "[Inverse Scaling](https://far.ai/publication/mckenzie2023inverse/)" and "[Evaluating the Moral Beliefs Encoded in LLMs](https://far.ai/publication/scherrer2023evaluating/)" falls under this umbrella.\n\n1. **Model Internals** focuses on reverse engineering ML models to understand how they function. Existing research includes "[Eliciting Latent Predictions from Transformers with the Tuned Lens](https://far.ai/publication/belrose2023tuned/)." Continuing in this line of investigation, the concept of mechanistic interpretability of [mesa-optimization](/?state=8160&question=What%20are%20%22mesa-optimizers%22%3F) seeks to further understand how some machine learning models develop their own internal methods for problem-solving. Looking ahead, FAR AI plans to set standards for what constitutes a “good” interpretability hypothesis, which means developing criteria to evaluate how well a proposed explanation helps us understand a model’s behavior.\n\nIn addition to incubating a portfolio of high-potential AI safety research agendas described above, they support projects that are:\n\n1. Too large or complex to be led by academia, or\n\n1. Un-aligned with the interests of the commercial sector as they are unprofitable.\n\nThey are following a [hits-based approach](https://www.openphilanthropy.org/research/hits-based-giving/) so they expect some of their agendas to be extremely impactful and others to have limited impact. Their goal is to rapidly identify those that work and scale them up, reallocating resources away from those that don’t.\n\n```" } }, { @@ -44258,7 +44258,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Note that some of these introductions are from over 5 years ago. Given how quickly the field of AI progresses, some of these older introductions could use an update (e.g. Nick Bostrom’s 2014 book *Superintelligence* has little focus on modern deep learning systems).\n\n## Quick reads (under ~10 minutes)\n\n- [Four Background Claims](https://intelligence.org/2015/07/24/four-background-claims/) (Nate Soares)\n\n- [We must slow down the race to God-like AI](https://www.ft.com/content/03895dc4-a3b7-481e-95cc-336a524f2ac2) (Ian Hogarth)\n\n- [Building safe artificial intelligence: specification, robustness, and assurance](https://deepmindsafetyresearch.medium.com/building-safe-artificial-intelligence-52f5f75058f1) (DeepMind Safety Research)\n\n- [Nobody’s on the ball on AGI alignment](https://www.forourposterity.com/nobodys-on-the-ball-on-agi-alignment/) (Leopold Aschenbrenner)\n\n- [Frequent arguments about alignment](https://www.alignmentforum.org/posts/6ccG9i5cTncebmhsH/frequent-arguments-about-alignment) (John Schulman)\n\n- [AI alignment](https://en.wikipedia.org/wiki/AI_alignment) (Wikipedia)\n\n- [Of Myths And Moonshine](https://www.edge.org/conversation/the-myth-of-ai#26015) (Stuart Russell)\n\n- [Intro to AI Safety](https://aizi.substack.com/p/intro-to-ai-safety) (Robert Huben)\n\n- [Global risk from deep learning: The case for risk](https://www.danieldewey.net/risk/case.html) (Daniel Dewey)\n\n- [Explore Your AI Risk Perspectives: An Interactive Walkthrough of Researchers' Most Frequent Interview Responses](https://ai-risk-discussions.org/perspectives/introduction) (AI Risk Discussions)\n\n- [Will AI really cause a catastrophe?](https://www.maisi.club/about) (Michigan AI Safety Initiative)\n\n- [What is the alignment problem?](https://aligned.substack.com/p/what-is-alignment) (Jan Leike)\n\n- [Why does powerful Artificial Intelligence pose a risk that could make all of our lives much, much worse in the coming years?](https://twitter.com/MaxCRoser/status/1651598037679063040) (Max Roser)\n\n- [The existential risk of superintelligent AI](https://pauseai.info/xrisk) (PauseAI)\n\n- [AI is Not an Arms Race](https://time.com/6283609/artificial-intelligence-race-existential-threat/) (Katja Grace)\n\n- [Complex Systems are Hard to Control](https://bounded-regret.ghost.io/complex-systems-are-hard-to-control/) (Jacob Steinhardt)\n\n- [a casual intro to AI doom and alignment](https://carado.moe/ai-doom.html) (Tamsin Leake)\n\n- [Basics of AI Wiping Out All Value in the Universe, Take 1](https://www.lesswrong.com/posts/WkchhorbLsSMbLacZ/ai-1-sydney-and-bing#Basics_of_AI_Wiping_Out_All_Value_in_the_Universe__Take_1) (Zvi Mowshowitz)\n\n- [Marius alignment pitch](https://docs.google.com/document/d/18y0x3ogQau0CyN5a9QYaAUCca8C4bHdEWBK5f4jlO7k/edit#) (Marius Hobbhahn)\n\n- [This Changes Everything](https://www.nytimes.com/2023/03/12/opinion/chatbots-artificial-intelligence-future-weirdness.html) (Ezra Klein)\n\n- [How AI could accidentally extinguish humankind](https://www.washingtonpost.com/opinions/2022/08/31/artificial-intelligence-worst-case-scenario-extinction/) (Émile Torres)\n\n- [My current summary of the state of AI risk](https://musingsandroughdrafts.com/2023/02/17/my-current-summary-of-the-state-of-ai-risk/) (Eli Tyre)\n\n- [AI doom from an LLM-plateau-ist perspective](https://www.alignmentforum.org/posts/KJRBb43nDxk6mwLcR/ai-doom-from-an-llm-plateau-ist-perspective) (Steve Byrnes)\n\n- [Why Uncontrollable AI Looks More Likely Than Ever](https://time.com/6258483/uncontrollable-ai-agi-risks/) (Otto Barten, Roman Yampolskiy)\n\n## Short(ish) introductions\n\n- [The case for taking AI seriously](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment) (or a similar argument in [500 words](https://www.vox.com/future-perfect/2019/2/12/18202466/ai-artificial-intelligence-humanity-threat)) (Kelsey Piper)\n\n- [The alignment problem from a deep learning perspective](https://arxiv.org/abs/2209.00626) (Richard Ngo, Lawrence Chan, Sören Mindermann)\n\n- [More Is Different for AI](https://bounded-regret.ghost.io/more-is-different-for-ai/) blog post series (Jacob Steinhardt)\n\n- [Why I Think More NLP Researchers Should Engage with AI Safety Concerns](https://wp.nyu.edu/arg/why-ai-safety/) (Sam Bowman)\n\n- [How Rogue AIs may Arise](https://yoshuabengio.org/2023/05/22/how-rogue-ais-may-arise/) (Yoshua Bengio)\n\n- [FAQ on Catastrophic AI Risks](https://yoshuabengio.org/2023/06/24/faq-on-catastrophic-ai-risks/) (Yoshua Bengio)\n\n- [The Need For Work On Technical AI Alignment](https://www.agisafetyfundamentals.com/alignment-introduction) (Daniel Eth)\n\n- [Why alignment could be hard with modern deep learning](https://www.cold-takes.com/why-ai-alignment-could-be-hard-with-modern-deep-learning/) (Ajeya Cotra)\n\n- [Altruists Should Prioritize Artificial Intelligence](https://longtermrisk.org/altruists-should-prioritize-artificial-intelligence/) (Lukas Gloor)\n\n- [Clarifying AI X-risk](https://www.alignmentforum.org/posts/GctJD5oCDRxCspEaZ/clarifying-ai-x-risk) and [Threat Model Literature Review](https://www.alignmentforum.org/posts/wnnkD6P2k2TfHnNmt/threat-model-literature-review) (DeepMind's AGI safety team)\n\n- [AI experts are increasingly afraid of what they’re creating](https://www.vox.com/the-highlight/23447596/artificial-intelligence-agi-openai-gpt3-existential-risk-human-extinction) (Kelsey Piper)\n\n- [Why worry about future AI?](https://www.gleech.org/ai-risk) (Gavin Leech)\n\n- [How to navigate the AI apocalypse as a sane person](https://erikhoel.substack.com/p/how-to-navigate-the-ai-apocalypse) (Eric Hoel)\n\n- [AGI Ruin: A list of lethalities](https://www.lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities) (Eliezer Yudkowsky); also see [Where I agree and disagree with Eliezer](https://www.alignmentforum.org/posts/CoZhXrhpQxpy9xw9y/where-i-agree-and-disagree-with-eliezer) (Paul Christiano)\n\n- [No Time Like The Present For AI Safety Work](https://slatestarcodex.com/2015/05/29/no-time-like-the-present-for-ai-safety-work/) (Scott Alexander)\n\n- [AI x-risk, approximately ordered by embarrassment](https://www.alignmentforum.org/posts/mSF4KTxAGRG3EHmhb/ai-x-risk-approximately-ordered-by-embarrassment) (Alex Lawsen)\n\n- [Ethical Issues in Advanced Artificial Intelligence](https://nickbostrom.com/ethics/ai) (Nick Bostrom)\n\n- [Benefits & Risks of Artificial Intelligence](https://futureoflife.org/ai/benefits-risks-of-artificial-intelligence/) (Ariel Conn)\n\n- [The basic reasons I expect AGI ruin](https://www.lesswrong.com/posts/eaDCgdkbsfGqpWazi/the-basic-reasons-i-expect-agi-ruin) (Rob Bensinger)\n\n- [The case for how and why AI might kill us all](https://newatlas.com/technology/ai-danger-kill-everyone/) (Loz Blain)\n\n- [Potential Risks from Advanced Artificial Intelligence: The Philanthropic Opportunity](https://www.openphilanthropy.org/research/potential-risks-from-advanced-artificial-intelligence-the-philanthropic-opportunity/) (Holden Karnofsky) \n \n\n- [A newcomer’s guide to the technical AI safety field](https://www.alignmentforum.org/posts/5rsa37pBjo4Cf9fkE/a-newcomer-s-guide-to-the-technical-ai-safety-field) (Chin Ze Shen)\n\n- [Q & A: The future of artificial intelligence](https://people.eecs.berkeley.edu/~russell/research/future/q-and-a.html) (Stuart Russell)\n\n- [The Basic AI Drives](https://selfawaresystems.files.wordpress.com/2008/01/ai_drives_final.pdf) (Steve Omohundro)\n\n- [AI Risk Intro 1: Advanced AI Might Be Very Bad](https://www.lesswrong.com/posts/bJgEMfiD48fEJJxjm/ai-risk-intro-1-advanced-ai-might-be-very-bad) (TheMcDouglas, LRudL)\n\n- [Distinguishing AI takeover scenarios](https://www.alignmentforum.org/posts/qYzqDtoQaZ3eDDyxa/distinguishing-ai-takeover-scenarios) + [Investigating AI takeover scenarios](https://www.alignmentforum.org/posts/zkF9PNSyDKusoyLkP/investigating-ai-takeover-scenarios) (Sam Clarke, Samuel Martin)\n\n- [Artificial intelligence is transforming our world — it is on all of us to make sure that it goes well](https://ourworldindata.org/ai-impact) (Max Roser)\n\n- [Intelligence Explosion: Evidence and Import](https://intelligence.org/files/IE-EI.pdf) (Luke Muehlhauser, Anna Salamon)\n\n- [The Value Learning Problem](https://intelligence.org/files/ValueLearningProblem.pdf) (Nate Soares)\n\n- [Uncontrollable AI as an Existential Risk](https://www.lesswrong.com/posts/gEchYntjSXk9KXorK/uncontrollable-ai-as-an-existential-risk) (Karl von Wendt)\n\n- [Current and Near-Term AI as a Potential Existential Risk Factor](https://users.cs.utah.edu/~dsbrown/readings/existential_risk.pdf) (Benjamin S. Bucknall, Shiri Dori-Hacohen)\n\n- [AI Risk for Epistemic Minimalists](https://www.alignmentforum.org/posts/8fpzBHt7e6n7Qjoo9/ai-risk-for-epistemic-minimalists) (Alex Flint)\n\n## Longer introductions\n\n- [Preventing an AI-related catastrophe](https://80000hours.org/problem-profiles/artificial-intelligence/) (Benjamin Hilton); also see [this summary](https://forum.effectivealtruism.org/posts/btFBFdYEn2PbuwHwt/summary-of-80k-s-ai-problem-profile)\n\n- [An Overview of Catastrophic AI Risks](https://arxiv.org/abs/2306.12001) (Dan Hendrycks, Mantas Mazeika, Thomas Woodside)\n\n- [TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI](https://arxiv.org/pdf/2306.06924.pdf) (Andrew Critch, Stuart Russell)\n\n- [The “most important century” blog post series summary](https://www.cold-takes.com/most-important-century/#Summary) and the ["implications of most important century” posts](https://www.cold-takes.com/tag/implicationsofmostimportantcentury/) like [AI could defeat all of us combined](https://www.cold-takes.com/ai-could-defeat-all-of-us-combined/) and [Why would AI “aim” to defeat humanity?](https://www.cold-takes.com/why-would-ai-aim-to-defeat-humanity/) and [How we could stumble into AI catastrophe](https://www.cold-takes.com/how-we-could-stumble-into-ai-catastrophe/) (Holden Karnofsky)\n\n- [Current work in AI alignment](https://forum.effectivealtruism.org/posts/63stBTw3WAW6k45dY/paul-christiano-current-work-in-ai-alignment) (Paul Christiano)\n\n- [A gentle introduction to why AI *might* end the human race](https://medium.com/@NotesOnAIAlignment/a-gentle-introduction-to-why-ai-might-end-the-human-race-4670f4b5cdec) (Michael Tontchev)\n\n- [Natural Selection Favors AIs over Humans](https://drive.google.com/file/d/1p4ZAuEYHL_21tqstJOGsMiG4xaRBtVcj/view) (Dan Hendrycks)\n\n- [Unsolved Problems in ML Safety](https://arxiv.org/abs/2109.13916) (Dan Hendrycks)\n\n- [X-Risk Analysis for AI Research](https://arxiv.org/abs/2206.05862) (Dan Hendrycks, Mantas Mazeika)\n\n- [Aisafety.info](https://aisafety.info/) ([Stampy team](https://get_involved.aisafety.info/))\n\n- [Is Power-Seeking AI an Existential Risk?](https://arxiv.org/pdf/2206.13353.pdf) + [shortened version](https://jc.gatspress.com/pdf/existential_risk_and_powerseeking_ai.pdf) + [presentation](https://forum.effectivealtruism.org/posts/ChuABPEXmRumcJY57/video-and-transcript-of-presentation-on-existential-risk) (Joseph Carlsmith; also see this [shorter version](https://jc.gatspress.com/pdf/existential_risk_and_powerseeking_ai.pdf))\n\n- [AGI safety from first principles](https://www.alignmentforum.org/s/mzgtmmTKKn5MuCzFJ) (Richard Ngo)\n\n- [Without specific countermeasures, the easiest path to transformative AI likely leads to AI takeover](https://www.cold-takes.com/without-specific-countermeasures-the-easiest-path-to-transformative-ai-likely-leads-to-ai-takeover/) + [presentation](https://www.youtube.com/watch?v=EIhE84kH2QI) (Ajeya Cotra)\n\n- [The AI Revolution: The Road to Superintelligence](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html) and [The AI Revolution: Our Immortality or Extinction](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html) + some [corrections from Luke Muehlhauser](https://lukemuehlhauser.com/a-reply-to-wait-but-why-on-machine-superintelligence/) (Tim Urban)\n\n- [AI as a Positive and Negative Factor in Global Risk](https://intelligence.org/files/AIPosNegFactor.pdf) (Eliezer Yudkowsky)\n\n- [Extinction Risk from Artificial Intelligence](https://aisafety.wordpress.com/) (Michael Cohen)\n\n- [Set Sail For Fail? On AI risk](https://nintil.com/ai-safety) (José Luis Ricón Fernández de la Puente)\n\n- [A shift in arguments for AI risk](https://bayes.net/prioritising-ai/) (Tom Adamczewski)\n\n- [Uncontrollability of AI](https://www.researchgate.net/publication/343812745_Uncontrollability_of_AI) (Roman Yampolskiy)\n\n- [Thoughts on AGI safety from the top](https://www.alignmentforum.org/posts/ApLnWjgMwBTJt6buC/thoughts-on-agi-safety-from-the-top) (jylin04)\n\n- [Disjunctive Scenarios of Catastrophic AI Risk](https://kajsotala.fi/assets/2018/12/Disjunctivescenarios.pdf) (Kaj Sotala; see [these highlights](https://www.lesswrong.com/posts/8uJ3n3hu8pLXC4YNE/some-conceptual-highlights-from-disjunctive-scenarios-of-1))\n\n- [Modeling Transformative AI Risks (MTAIR) Project -- Summary Report](https://arxiv.org/abs/2206.09360) (Sam Clarke et al.)\n\n## Overviews of various research areas:\n\n- [Transformative AI Governance: A Literature Review](https://docs.google.com/document/d/1CDj_sdTzZGP9Tpppy7PdaPs_4acueuNxTjMnAiCJJKs/edit?usp=sharing) (draft by Matthijs Maas)\n\n- [Papers](https://haist.ai/papers) (Harvard AI Safety Team)\n\n- [My Overview of the AI Alignment Landscape: A Bird's Eye View](https://www.lesswrong.com/posts/SQ9cZtfrzDJmw9A2m/my-overview-of-the-ai-alignment-landscape-a-bird-s-eye-view) (Neel Nanda)\n\n- [(My understanding of) What Everyone in Technical Alignment is Doing and Why](https://www.lesswrong.com/posts/QBAjndPuFbhEXKcCr/my-understanding-of-what-everyone-in-technical-alignment-is) (Thomas Larsen, Eli Lifland) + [Alignment Org Cheat Sheet](https://www.lesswrong.com/posts/9TWReSDKyshfA66sz/alignment-org-cheat-sheet) (Thomas Larsen, Akash Wasil)\n\n- [Framing AI strategy](https://aiimpacts.org/framing-ai-strategy/) (Zach Stein-Perlman)\n\n- “[What you can do concretely to help](https://80000hours.org/problem-profiles/artificial-intelligence/#what-can-you-do-concretely-to-help)” section of “Preventing an AI-related catastrophe” (Benjamin Hilton)\n\n- [The longtermist AI governance landscape: a basic overview](https://forum.effectivealtruism.org/posts/ydpo7LcJWhrr2GJrx/the-longtermist-ai-governance-landscape-a-basic-overview) (Sam Clarke)\n\n- [A Brief Overview of AI Safety/Alignment Orgs, Fields, Researchers, and Resources for ML Researchers](https://forum.effectivealtruism.org/posts/xMzXbnpPeKWpTi3Gt/a-brief-overview-of-ai-safety-alignment-orgs-fields) (Austin Witte)\n\n- [AI Governance: A Research Agenda](https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf) (Allan Dafoe)\n\n- [Racing through a minefield: the AI deployment problem](https://www.cold-takes.com/racing-through-a-minefield-the-ai-deployment-problem/) (Holden Karnofsky)\n\n- [An overview of 11 proposals for building safe advanced AI](https://www.lesswrong.com/posts/fRsjBseRuvRhMPPE5/an-overview-of-11-proposals-for-building-safe-advanced-ai) (Evan Hubinger)\n\n- [2021 Alignment Literature Review and Charity Comparison](https://www.lesswrong.com/posts/C4tR3BEpuWviT7Sje/2021-ai-alignment-literature-review-and-charity-comparison) (Larks)\n\n- [AI Research Considerations for Human Existential Safety (ARCHES)](https://arxiv.org/abs/2006.04948) (Andrew Critch, David Krueger)\n\n- [A descriptive, not prescriptive, overview of current AI Alignment Research](https://www.alignmentforum.org/posts/FgjcHiWvADgsocE34/a-descriptive-not-prescriptive-overview-of-current-ai) (Jan Hendrik Kirchner, Logan Riggs Smith, Jacques Thibodeau, janus)\n\n- [AGI Safety Literature Review](https://arxiv.org/abs/1805.01109) (Tom Everitt, Gary Lea, Marcus Hutter)\n\n- [AI Alignment Research Overview](https://www.alignmentforum.org/posts/7GEviErBXcjJsbSeD/ai-alignment-research-overview-by-jacob-steinhardt) (Jacob Steinhardt)\n\n- [On how various plans miss the hard bits of the alignment challenge](https://www.lesswrong.com/posts/3pinFH3jerMzAvmza/on-how-various-plans-miss-the-hard-bits-of-the-alignment) (Nate Soares)\n\n- [Some AI research areas and their relevance to existential safety](https://www.lesswrong.com/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1) (Andrew Critch)\n\n- [A newcomer’s guide to the technical AI safety field](https://www.lesswrong.com/posts/5rsa37pBjo4Cf9fkE/a-newcomer-s-guide-to-the-technical-ai-safety-field) (zeshen)\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://www.alignmentforum.org/posts/5HtDzRAk7ePWsiL2L/open-problems-in-ai-x-risk-pais-5) (Dan Hendrycks, Thomas Woodside)\n\n- [Anti-Literature Review](https://www.alignmentforum.org/posts/XtBJTFszs8oP3vXic/ai-x-risk-greater-than-35-mostly-based-on-a-recent-peer#Appendix_A__Anti_Literature_Review) from “AI X-risk >35% mostly based on a recent peer-reviewed argument” (Michael Cohen)\n\n- [AI Governance & Strategy: Priorities, talent gaps, & opportunities](https://www.lesswrong.com/posts/hAnKgips7kPyxJRY3/ai-governance-and-strategy-priorities-talent-gaps-and) (Akash Wasil)\n\n## Podcasts and videos (see [https://aisafety.video](https://aisafety.video) for more)\n\n- [Eliezer Yudkowksy interview with Sam Harris](https://intelligence.org/2018/02/28/sam-harris-and-eliezer-yudkowsky/)\n\n- [Richard Ngo](https://axrp.net/episode/2022/03/31/episode-13-first-principles-agi-safety-richard-ngo.html) and [Paul Christiano](https://axrp.net/episode/2021/12/02/episode-12-ai-xrisk-paul-christiano.html) on [AXRP](https://axrp.net/)\n\n- [Brian Christian](https://80000hours.org/podcast/episodes/brian-christian-the-alignment-problem/) and [Ben Garfinkel](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/) on the [80,000 Hours Podcast](https://80000hours.org/podcast/)\n\n- [Ajeya Cotra](https://www.youtube.com/watch?v=IKFQfYaJ0AY) and [Rohin Shah](https://www.youtube.com/watch?v=_5xkh-Rh6Ec) on the [Future of Life Institute Podcast](https://futureoflife.org/project/future-of-life-institute-podcast/)\n\n- [Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0) ([transcript](https://forum.effectivealtruism.org/posts/q49obZkQujkYmnFWY/vael-gates-risks-from-advanced-ai-june-2022)) (Vael Gates; also see [Risks from Highly-Capable AI](https://forum.effectivealtruism.org/posts/WqQDKKgZTdFe6GAFq/vael-gates-risks-from-highly-capable-ai-march-2023-1))\n\n- [Intro to AI Safety, Remastered](https://www.youtube.com/watch?v=pYXy-A4siMw) (Rob Miles)\n\n- [Ensuring smarter-than-human intelligence has a positive outcome](https://intelligence.org/2017/04/12/ensuring/) (Nate Soares)\n\n- [AI Alignment: Why It's Hard, and Where to Start](https://www.youtube.com/watch?v=EUjc1WuyPT8) (Eliezer Yudkowsky)\n\n- Some audio recordings of the readings above (e.g. [Cold Takes Audio](https://podcasts.apple.com/us/podcast/cold-takes-audio/id1580097837), [reading of 80k intro](https://podcasts.apple.com/us/podcast/preventing-an-ai-related-catastrophe-article/id1245002988?i=1000582699751), [EA Forum posts](https://forum.effectivealtruism.org/posts/K5Snxo5EhgmwJJjR2/announcing-audio-narrations-of-ea-forum-posts-1), [EA Radio](https://podcasts.apple.com/us/podcast/ea-radio/id1370275378), [Astral Codex Ten Podcast](https://sscpodcast.libsyn.com/), [Less Wrong Curated Podcast](https://www.lesswrong.com/posts/kDjKF2yFhFEWe4hgC/announcing-the-lesswrong-curated-podcast), [Nonlinear Library](https://forum.effectivealtruism.org/posts/JTZTBienqWEAjGDRv/listen-to-more-ea-content-with-the-nonlinear-library))\n\n## Courses:\n\n- [AI Safety Fundamentals](https://aisafetyfundamentals.com/)\n\n - [AI Alignment Course](https://course.aisafetyfundamentals.com/alignment)\n\n - [AI Alignment Course: In-session readings version](https://aisafetyfundamentals.com/alignment-insession-readings)\n\n - [AI Governance Course](https://course.aisafetyfundamentals.com/governance)\n\n - [AI Alignment 201 Course](https://aisafetyfundamentals.com/alignment-201-curriculum)\n\n - [Resources](https://aisafetyfundamentals.com/resources)\n\n- [Intro to ML Safety lectures](https://course.mlsafety.org/) and [online course](https://www.mlsafety.org/intro-to-ml-safety)\n\n- [[shared] \"Key Phenomena in AI Risk\" - Reading Curriuclum](https://docs.google.com/document/d/1HGzMBMXQD9w9K32scqCoSmZNGbxLJE8-siPlonTQz6s/edit) (see the [course announcement](https://www.alignmentforum.org/posts/mqvxR9nrXAzRr3ow9/announcing-key-phenomena-in-ai-risk-facilitated-reading))\n\n- [STS 10SI: Intro to AI Alignment Syllabus [Public]](https://docs.google.com/document/d/1NX0DlZRzD3NP7tBeLjMh76w7-w2s8SxV3wj0P7EYpKY/edit) from Stanford, a modified version of the Alignment Fundamentals curriculum\n\n- [Safety and Control for Artificial General Intelligence (Fall 2018)](https://inst.eecs.berkeley.edu/~cs294-149/fa18/) from UC Berkeley\n\n## Similar lists\n\n- [Overviews of AI risk](https://aiscc.org/2023/09/07/overviews-of-ai-risk/) (Shakeel Hashim)\n\n- [Introductory Resources on AI Risks](https://futureoflife.org/resource/introductory-resources-on-ai-risks/) (Will Jones)\n\n- [Non-Technical Introduction to AI Safety](https://haist.ai/non-technical-intro-to-ai-safety) (Harvard AI Safety Team)\n\n- [Why Might Misaligned, Advanced AI Cause Catastrophe?](https://aisafetyfundamentals.com/governance-blog/why-might-misaligned-advanced-ai-cause-catastrophe-compilation) (BlueDot Impact)\n\n- [Resources I sent to AI researchers about AI safety](https://forum.effectivealtruism.org/posts/8sAzgNcssH3mdb8ya/resources-i-send-to-ai-researchers-about-ai-safety) (Vael Gates)\n\n- [Introductory Resources on AI Extinction Risks](https://www.simeon.ai/resources-on-ai-risks) (Siméon Campos)\n\n- [AI Risk Discussions: Resources](https://ai-risk-discussions.org/resources)\n\n## Misc:\n\n- **Books**: *The Alignment Problem* by Brian Christian, *Human Compatible* by Stuart Russell*, Superintelligence* by Nick Bostrom, *Life 3.0* by Max Tegmark, *[Smarter Than Us](https://smarterthan.us/toc/)* by Stuart Armstrong, [Better without AI](https://betterwithout.ai/) by [David Chapman](https://twitter.com/Meaningness/status/1625139350005764096), AI sections in *The Precipice* by Toby Ord and *What We Owe The Future* by William MacAskill\n\n - Also see [this post](https://forum.effectivealtruism.org/posts/BxgwGYFuKFu5ioBjs/seeking-input-on-a-list-of-ai-books-for-broader-audience) for a fairly comprehensive list of non-fiction, non-technical books about AI.\n\n- [Convergence publications](https://docs.google.com/document/d/1ok1nogrd0VrK51MCGtULh2aoB-NXjA5tG11mWBsy1WQ/edit) from [Convergence Analysis](https://www.convergenceanalysis.org/research/)\n\n- [Stuart Russell's collection of research and media appearances](https://people.eecs.berkeley.edu/~russell/research/future/)\n\n- [Zvi Mowshowitz’s Substack](https://thezvi.substack.com/) has excellent AI coverage\n\n- [Results of the AI Safety Arguments Competition](https://docs.google.com/spreadsheets/d/e/2PACX-1vRgIYiqiFevNu0m3bOzKeJ7S2ugkq2imYmbCicXPYtKTpRXKBMSZmfhbL-C_v_KQKob57e5QUtcuUqP/pubhtml)\n\n- [It Looks Like You’re Trying To Take Over The World](https://gwern.net/fiction/clippy) (Gwern Branwen)\n\n- [AI alignment resources](https://vkrakovna.wordpress.com/ai-safety-resources/) (Victoria Krakovna)\n\n- Wait But Why: [Part 1](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html) - [Part 2](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html) - [Reply from Luke Muehlhauser](https://lukemuehlhauser.com/a-reply-to-wait-but-why-on-machine-superintelligence/)\n\n- 2021 MIRI Conversations: [Ngo-Yudkowsky](https://www.lesswrong.com/posts/7im8at9PmhbT4JHsW/ngo-and-yudkowsky-on-alignment-difficulty) ([ACX summary](https://astralcodexten.substack.com/p/practically-a-book-review-yudkowsky)), [Christiano-Yudkowsky](https://www.lesswrong.com/posts/vwLxd6hhFvPbvKmBH/yudkowsky-and-christiano-discuss-takeoff-speeds) ([ACX summary](https://astralcodexten.substack.com/p/yudkowsky-contra-christiano-on-ai)), others\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY) (Rob Miles)\n\n- [Arbital AI Alignment list](https://arbital.greaterwrong.com/explore/ai_alignment/)\n\n- [Our World In Data: AI](https://ourworldindata.org/artificial-intelligence#research-and-writing)\n\n- [Nine Things You Should Know About AI](https://www.bbc.co.uk/programmes/articles/3pVB9hLv8TdGjSdJv4CmYjC/nine-things-you-should-know-about-ai) (Stuart Russell)\n\n- FAQs: [superintelligence](https://www.lesswrong.com/posts/LTtNXM9shNM9AC2mp/superintelligence-faq) (Scott Alexander), [intelligence explosion](https://intelligence.org/ie-faq/) (Luke Muehlhauser)\n\n- [CHAI bibliography](https://humancompatible.ai/bibliography)\n\n- [Paths to failure](https://www.lesswrong.com/posts/yv4xAnkEyWvpXNBte/paths-to-failure) (Karl von Wendt et al.)\n\n- [AI Alignment Is Turning from Alchemy Into Chemistry](https://guzey.com/ai/alignment-alchemy/) (Alexey Guzey)\n\n```" + "Rich Text": "```Note that some of these introductions are from over 5 years ago. Given how quickly the field of AI progresses, some of these older introductions could use an update (e.g. Nick Bostrom’s 2014 book *Superintelligence* has little focus on modern deep learning systems).\n\n## Quick reads (under ~10 minutes)\n\n- [Four Background Claims](https://intelligence.org/2015/07/24/four-background-claims/) (Nate Soares)\n\n- [We must slow down the race to God-like AI](https://www.ft.com/content/03895dc4-a3b7-481e-95cc-336a524f2ac2) (Ian Hogarth)\n\n- [Building safe artificial intelligence: specification, robustness, and assurance](https://deepmindsafetyresearch.medium.com/building-safe-artificial-intelligence-52f5f75058f1) (DeepMind Safety Research)\n\n- [Nobody’s on the ball on AGI alignment](https://www.forourposterity.com/nobodys-on-the-ball-on-agi-alignment/) (Leopold Aschenbrenner)\n\n- [Frequent arguments about alignment](https://www.alignmentforum.org/posts/6ccG9i5cTncebmhsH/frequent-arguments-about-alignment) (John Schulman)\n\n- [AI alignment](https://en.wikipedia.org/wiki/AI_alignment) (Wikipedia)\n\n- [Of Myths And Moonshine](https://www.edge.org/conversation/the-myth-of-ai#26015) (Stuart Russell)\n\n- [Intro to AI safety](https://aizi.substack.com/p/intro-to-ai-safety) (Robert Huben)\n\n- [Global risk from deep learning: The case for risk](https://www.danieldewey.net/risk/case.html) (Daniel Dewey)\n\n- [Explore Your AI Risk Perspectives: An Interactive Walkthrough of Researchers' Most Frequent Interview Responses](https://ai-risk-discussions.org/perspectives/introduction) (AI Risk Discussions)\n\n- [Will AI really cause a catastrophe?](https://www.maisi.club/about) (Michigan AI safety Initiative)\n\n- [What is the alignment problem?](https://aligned.substack.com/p/what-is-alignment) (Jan Leike)\n\n- [Why does powerful Artificial Intelligence pose a risk that could make all of our lives much, much worse in the coming years?](https://twitter.com/MaxCRoser/status/1651598037679063040) (Max Roser)\n\n- [The existential risk of superintelligent AI](https://pauseai.info/xrisk) (PauseAI)\n\n- [AI is Not an Arms Race](https://time.com/6283609/artificial-intelligence-race-existential-threat/) (Katja Grace)\n\n- [Complex Systems are Hard to Control](https://bounded-regret.ghost.io/complex-systems-are-hard-to-control/) (Jacob Steinhardt)\n\n- [a casual intro to AI doom and alignment](https://carado.moe/ai-doom.html) (Tamsin Leake)\n\n- [Basics of AI Wiping Out All Value in the Universe, Take 1](https://www.lesswrong.com/posts/WkchhorbLsSMbLacZ/ai-1-sydney-and-bing#Basics_of_AI_Wiping_Out_All_Value_in_the_Universe__Take_1) (Zvi Mowshowitz)\n\n- [Marius alignment pitch](https://docs.google.com/document/d/18y0x3ogQau0CyN5a9QYaAUCca8C4bHdEWBK5f4jlO7k/edit#) (Marius Hobbhahn)\n\n- [This Changes Everything](https://www.nytimes.com/2023/03/12/opinion/chatbots-artificial-intelligence-future-weirdness.html) (Ezra Klein)\n\n- [How AI could accidentally extinguish humankind](https://www.washingtonpost.com/opinions/2022/08/31/artificial-intelligence-worst-case-scenario-extinction/) (Émile Torres)\n\n- [My current summary of the state of AI risk](https://musingsandroughdrafts.com/2023/02/17/my-current-summary-of-the-state-of-ai-risk/) (Eli Tyre)\n\n- [AI doom from an LLM-plateau-ist perspective](https://www.alignmentforum.org/posts/KJRBb43nDxk6mwLcR/ai-doom-from-an-llm-plateau-ist-perspective) (Steve Byrnes)\n\n- [Why Uncontrollable AI Looks More Likely Than Ever](https://time.com/6258483/uncontrollable-ai-agi-risks/) (Otto Barten, Roman Yampolskiy)\n\n## Short(ish) introductions\n\n- [The case for taking AI seriously](https://www.vox.com/future-perfect/2018/12/21/18126576/ai-artificial-intelligence-machine-learning-safety-alignment) (or a similar argument in [500 words](https://www.vox.com/future-perfect/2019/2/12/18202466/ai-artificial-intelligence-humanity-threat)) (Kelsey Piper)\n\n- [The alignment problem from a deep learning perspective](https://arxiv.org/abs/2209.00626) (Richard Ngo, Lawrence Chan, Sören Mindermann)\n\n- [More Is Different for AI](https://bounded-regret.ghost.io/more-is-different-for-ai/) blog post series (Jacob Steinhardt)\n\n- [Why I Think More NLP Researchers Should Engage with AI safety Concerns](https://wp.nyu.edu/arg/why-ai-safety/) (Sam Bowman)\n\n- [How Rogue AIs may Arise](https://yoshuabengio.org/2023/05/22/how-rogue-ais-may-arise/) (Yoshua Bengio)\n\n- [FAQ on Catastrophic AI Risks](https://yoshuabengio.org/2023/06/24/faq-on-catastrophic-ai-risks/) (Yoshua Bengio)\n\n- [The Need For Work On Technical AI Alignment](https://www.agisafetyfundamentals.com/alignment-introduction) (Daniel Eth)\n\n- [Why alignment could be hard with modern deep learning](https://www.cold-takes.com/why-ai-alignment-could-be-hard-with-modern-deep-learning/) (Ajeya Cotra)\n\n- [Altruists Should Prioritize Artificial Intelligence](https://longtermrisk.org/altruists-should-prioritize-artificial-intelligence/) (Lukas Gloor)\n\n- [Clarifying AI X-risk](https://www.alignmentforum.org/posts/GctJD5oCDRxCspEaZ/clarifying-ai-x-risk) and [Threat Model Literature Review](https://www.alignmentforum.org/posts/wnnkD6P2k2TfHnNmt/threat-model-literature-review) (DeepMind's AGI safety team)\n\n- [AI experts are increasingly afraid of what they’re creating](https://www.vox.com/the-highlight/23447596/artificial-intelligence-agi-openai-gpt3-existential-risk-human-extinction) (Kelsey Piper)\n\n- [Why worry about future AI?](https://www.gleech.org/ai-risk) (Gavin Leech)\n\n- [How to navigate the AI apocalypse as a sane person](https://erikhoel.substack.com/p/how-to-navigate-the-ai-apocalypse) (Eric Hoel)\n\n- [AGI Ruin: A list of lethalities](https://www.lesswrong.com/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities) (Eliezer Yudkowsky); also see [Where I agree and disagree with Eliezer](https://www.alignmentforum.org/posts/CoZhXrhpQxpy9xw9y/where-i-agree-and-disagree-with-eliezer) (Paul Christiano)\n\n- [No Time Like The Present For AI safety Work](https://slatestarcodex.com/2015/05/29/no-time-like-the-present-for-ai-safety-work/) (Scott Alexander)\n\n- [AI x-risk, approximately ordered by embarrassment](https://www.alignmentforum.org/posts/mSF4KTxAGRG3EHmhb/ai-x-risk-approximately-ordered-by-embarrassment) (Alex Lawsen)\n\n- [Ethical Issues in Advanced Artificial Intelligence](https://nickbostrom.com/ethics/ai) (Nick Bostrom)\n\n- [Benefits & Risks of Artificial Intelligence](https://futureoflife.org/ai/benefits-risks-of-artificial-intelligence/) (Ariel Conn)\n\n- [The basic reasons I expect AGI ruin](https://www.lesswrong.com/posts/eaDCgdkbsfGqpWazi/the-basic-reasons-i-expect-agi-ruin) (Rob Bensinger)\n\n- [The case for how and why AI might kill us all](https://newatlas.com/technology/ai-danger-kill-everyone/) (Loz Blain)\n\n- [Potential Risks from Advanced Artificial Intelligence: The Philanthropic Opportunity](https://www.openphilanthropy.org/research/potential-risks-from-advanced-artificial-intelligence-the-philanthropic-opportunity/) (Holden Karnofsky) \n \n\n- [A newcomer’s guide to the technical AI safety field](https://www.alignmentforum.org/posts/5rsa37pBjo4Cf9fkE/a-newcomer-s-guide-to-the-technical-ai-safety-field) (Chin Ze Shen)\n\n- [Q & A: The future of artificial intelligence](https://people.eecs.berkeley.edu/~russell/research/future/q-and-a.html) (Stuart Russell)\n\n- [The Basic AI Drives](https://selfawaresystems.files.wordpress.com/2008/01/ai_drives_final.pdf) (Steve Omohundro)\n\n- [AI Risk Intro 1: Advanced AI Might Be Very Bad](https://www.lesswrong.com/posts/bJgEMfiD48fEJJxjm/ai-risk-intro-1-advanced-ai-might-be-very-bad) (TheMcDouglas, LRudL)\n\n- [Distinguishing AI takeover scenarios](https://www.alignmentforum.org/posts/qYzqDtoQaZ3eDDyxa/distinguishing-ai-takeover-scenarios) + [Investigating AI takeover scenarios](https://www.alignmentforum.org/posts/zkF9PNSyDKusoyLkP/investigating-ai-takeover-scenarios) (Sam Clarke, Samuel Martin)\n\n- [Artificial intelligence is transforming our world — it is on all of us to make sure that it goes well](https://ourworldindata.org/ai-impact) (Max Roser)\n\n- [Intelligence Explosion: Evidence and Import](https://intelligence.org/files/IE-EI.pdf) (Luke Muehlhauser, Anna Salamon)\n\n- [The Value Learning Problem](https://intelligence.org/files/ValueLearningProblem.pdf) (Nate Soares)\n\n- [Uncontrollable AI as an Existential Risk](https://www.lesswrong.com/posts/gEchYntjSXk9KXorK/uncontrollable-ai-as-an-existential-risk) (Karl von Wendt)\n\n- [Current and Near-Term AI as a Potential Existential Risk Factor](https://users.cs.utah.edu/~dsbrown/readings/existential_risk.pdf) (Benjamin S. Bucknall, Shiri Dori-Hacohen)\n\n- [AI Risk for Epistemic Minimalists](https://www.alignmentforum.org/posts/8fpzBHt7e6n7Qjoo9/ai-risk-for-epistemic-minimalists) (Alex Flint)\n\n## Longer introductions\n\n- [Preventing an AI-related catastrophe](https://80000hours.org/problem-profiles/artificial-intelligence/) (Benjamin Hilton); also see [this summary](https://forum.effectivealtruism.org/posts/btFBFdYEn2PbuwHwt/summary-of-80k-s-ai-problem-profile)\n\n- [An Overview of Catastrophic AI Risks](https://arxiv.org/abs/2306.12001) (Dan Hendrycks, Mantas Mazeika, Thomas Woodside)\n\n- [TASRA: a Taxonomy and Analysis of Societal-Scale Risks from AI](https://arxiv.org/pdf/2306.06924.pdf) (Andrew Critch, Stuart Russell)\n\n- [The “most important century” blog post series summary](https://www.cold-takes.com/most-important-century/#Summary) and the ["implications of most important century” posts](https://www.cold-takes.com/tag/implicationsofmostimportantcentury/) like [AI could defeat all of us combined](https://www.cold-takes.com/ai-could-defeat-all-of-us-combined/) and [Why would AI “aim” to defeat humanity?](https://www.cold-takes.com/why-would-ai-aim-to-defeat-humanity/) and [How we could stumble into AI catastrophe](https://www.cold-takes.com/how-we-could-stumble-into-ai-catastrophe/) (Holden Karnofsky)\n\n- [Current work in AI alignment](https://forum.effectivealtruism.org/posts/63stBTw3WAW6k45dY/paul-christiano-current-work-in-ai-alignment) (Paul Christiano)\n\n- [A gentle introduction to why AI *might* end the human race](https://medium.com/@NotesOnAIAlignment/a-gentle-introduction-to-why-ai-might-end-the-human-race-4670f4b5cdec) (Michael Tontchev)\n\n- [Natural Selection Favors AIs over Humans](https://drive.google.com/file/d/1p4ZAuEYHL_21tqstJOGsMiG4xaRBtVcj/view) (Dan Hendrycks)\n\n- [Unsolved Problems in ML Safety](https://arxiv.org/abs/2109.13916) (Dan Hendrycks)\n\n- [X-Risk Analysis for AI Research](https://arxiv.org/abs/2206.05862) (Dan Hendrycks, Mantas Mazeika)\n\n- [Aisafety.info](https://aisafety.info/) ([Stampy team](https://get_involved.aisafety.info/))\n\n- [Is Power-Seeking AI an Existential Risk?](https://arxiv.org/pdf/2206.13353.pdf) + [shortened version](https://jc.gatspress.com/pdf/existential_risk_and_powerseeking_ai.pdf) + [presentation](https://forum.effectivealtruism.org/posts/ChuABPEXmRumcJY57/video-and-transcript-of-presentation-on-existential-risk) (Joseph Carlsmith; also see this [shorter version](https://jc.gatspress.com/pdf/existential_risk_and_powerseeking_ai.pdf))\n\n- [AGI safety from first principles](https://www.alignmentforum.org/s/mzgtmmTKKn5MuCzFJ) (Richard Ngo)\n\n- [Without specific countermeasures, the easiest path to transformative AI likely leads to AI takeover](https://www.cold-takes.com/without-specific-countermeasures-the-easiest-path-to-transformative-ai-likely-leads-to-ai-takeover/) + [presentation](https://www.youtube.com/watch?v=EIhE84kH2QI) (Ajeya Cotra)\n\n- [The AI Revolution: The Road to Superintelligence](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html) and [The AI Revolution: Our Immortality or Extinction](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html) + some [corrections from Luke Muehlhauser](https://lukemuehlhauser.com/a-reply-to-wait-but-why-on-machine-superintelligence/) (Tim Urban)\n\n- [AI as a Positive and Negative Factor in Global Risk](https://intelligence.org/files/AIPosNegFactor.pdf) (Eliezer Yudkowsky)\n\n- [Extinction Risk from Artificial Intelligence](https://aisafety.wordpress.com/) (Michael Cohen)\n\n- [Set Sail For Fail? On AI risk](https://nintil.com/ai-safety) (José Luis Ricón Fernández de la Puente)\n\n- [A shift in arguments for AI risk](https://bayes.net/prioritising-ai/) (Tom Adamczewski)\n\n- [Uncontrollability of AI](https://www.researchgate.net/publication/343812745_Uncontrollability_of_AI) (Roman Yampolskiy)\n\n- [Thoughts on AGI safety from the top](https://www.alignmentforum.org/posts/ApLnWjgMwBTJt6buC/thoughts-on-agi-safety-from-the-top) (jylin04)\n\n- [Disjunctive Scenarios of Catastrophic AI Risk](https://kajsotala.fi/assets/2018/12/Disjunctivescenarios.pdf) (Kaj Sotala; see [these highlights](https://www.lesswrong.com/posts/8uJ3n3hu8pLXC4YNE/some-conceptual-highlights-from-disjunctive-scenarios-of-1))\n\n- [Modeling Transformative AI Risks (MTAIR) Project -- Summary Report](https://arxiv.org/abs/2206.09360) (Sam Clarke et al.)\n\n## Overviews of various research areas:\n\n- [Transformative AI Governance: A Literature Review](https://docs.google.com/document/d/1CDj_sdTzZGP9Tpppy7PdaPs_4acueuNxTjMnAiCJJKs/edit?usp=sharing) (draft by Matthijs Maas)\n\n- [Papers](https://haist.ai/papers) (Harvard AI safety Team)\n\n- [My Overview of the AI Alignment Landscape: A Bird's Eye View](https://www.lesswrong.com/posts/SQ9cZtfrzDJmw9A2m/my-overview-of-the-ai-alignment-landscape-a-bird-s-eye-view) (Neel Nanda)\n\n- [(My understanding of) What Everyone in Technical Alignment is Doing and Why](https://www.lesswrong.com/posts/QBAjndPuFbhEXKcCr/my-understanding-of-what-everyone-in-technical-alignment-is) (Thomas Larsen, Eli Lifland) + [Alignment Org Cheat Sheet](https://www.lesswrong.com/posts/9TWReSDKyshfA66sz/alignment-org-cheat-sheet) (Thomas Larsen, Akash Wasil)\n\n- [Framing AI strategy](https://aiimpacts.org/framing-ai-strategy/) (Zach Stein-Perlman)\n\n- “[What you can do concretely to help](https://80000hours.org/problem-profiles/artificial-intelligence/#what-can-you-do-concretely-to-help)” section of “Preventing an AI-related catastrophe” (Benjamin Hilton)\n\n- [The longtermist AI governance landscape: a basic overview](https://forum.effectivealtruism.org/posts/ydpo7LcJWhrr2GJrx/the-longtermist-ai-governance-landscape-a-basic-overview) (Sam Clarke)\n\n- [A Brief Overview of AI safety/Alignment Orgs, Fields, Researchers, and Resources for ML Researchers](https://forum.effectivealtruism.org/posts/xMzXbnpPeKWpTi3Gt/a-brief-overview-of-ai-safety-alignment-orgs-fields) (Austin Witte)\n\n- [AI Governance: A Research Agenda](https://www.fhi.ox.ac.uk/wp-content/uploads/GovAI-Agenda.pdf) (Allan Dafoe)\n\n- [Racing through a minefield: the AI deployment problem](https://www.cold-takes.com/racing-through-a-minefield-the-ai-deployment-problem/) (Holden Karnofsky)\n\n- [An overview of 11 proposals for building safe advanced AI](https://www.lesswrong.com/posts/fRsjBseRuvRhMPPE5/an-overview-of-11-proposals-for-building-safe-advanced-ai) (Evan Hubinger)\n\n- [2021 Alignment Literature Review and Charity Comparison](https://www.lesswrong.com/posts/C4tR3BEpuWviT7Sje/2021-ai-alignment-literature-review-and-charity-comparison) (Larks)\n\n- [AI Research Considerations for Human Existential Safety (ARCHES)](https://arxiv.org/abs/2006.04948) (Andrew Critch, David Krueger)\n\n- [A descriptive, not prescriptive, overview of current AI Alignment Research](https://www.alignmentforum.org/posts/FgjcHiWvADgsocE34/a-descriptive-not-prescriptive-overview-of-current-ai) (Jan Hendrik Kirchner, Logan Riggs Smith, Jacques Thibodeau, janus)\n\n- [AGI Safety Literature Review](https://arxiv.org/abs/1805.01109) (Tom Everitt, Gary Lea, Marcus Hutter)\n\n- [AI Alignment Research Overview](https://www.alignmentforum.org/posts/7GEviErBXcjJsbSeD/ai-alignment-research-overview-by-jacob-steinhardt) (Jacob Steinhardt)\n\n- [On how various plans miss the hard bits of the alignment challenge](https://www.lesswrong.com/posts/3pinFH3jerMzAvmza/on-how-various-plans-miss-the-hard-bits-of-the-alignment) (Nate Soares)\n\n- [Some AI research areas and their relevance to existential safety](https://www.lesswrong.com/posts/hvGoYXi2kgnS3vxqb/some-ai-research-areas-and-their-relevance-to-existential-1) (Andrew Critch)\n\n- [A newcomer’s guide to the technical AI safety field](https://www.lesswrong.com/posts/5rsa37pBjo4Cf9fkE/a-newcomer-s-guide-to-the-technical-ai-safety-field) (zeshen)\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://www.alignmentforum.org/posts/5HtDzRAk7ePWsiL2L/open-problems-in-ai-x-risk-pais-5) (Dan Hendrycks, Thomas Woodside)\n\n- [Anti-Literature Review](https://www.alignmentforum.org/posts/XtBJTFszs8oP3vXic/ai-x-risk-greater-than-35-mostly-based-on-a-recent-peer#Appendix_A__Anti_Literature_Review) from “AI X-risk >35% mostly based on a recent peer-reviewed argument” (Michael Cohen)\n\n- [AI Governance & Strategy: Priorities, talent gaps, & opportunities](https://www.lesswrong.com/posts/hAnKgips7kPyxJRY3/ai-governance-and-strategy-priorities-talent-gaps-and) (Akash Wasil)\n\n## Podcasts and videos (see [https://aisafety.video](https://aisafety.video) for more)\n\n- [Eliezer Yudkowksy interview with Sam Harris](https://intelligence.org/2018/02/28/sam-harris-and-eliezer-yudkowsky/)\n\n- [Richard Ngo](https://axrp.net/episode/2022/03/31/episode-13-first-principles-agi-safety-richard-ngo.html) and [Paul Christiano](https://axrp.net/episode/2021/12/02/episode-12-ai-xrisk-paul-christiano.html) on [AXRP](https://axrp.net/)\n\n- [Brian Christian](https://80000hours.org/podcast/episodes/brian-christian-the-alignment-problem/) and [Ben Garfinkel](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/) on the [80,000 Hours Podcast](https://80000hours.org/podcast/)\n\n- [Ajeya Cotra](https://www.youtube.com/watch?v=IKFQfYaJ0AY) and [Rohin Shah](https://www.youtube.com/watch?v=_5xkh-Rh6Ec) on the [Future of Life Institute Podcast](https://futureoflife.org/project/future-of-life-institute-podcast/)\n\n- [Researcher Perceptions of Current and Future AI](https://www.youtube.com/watch?v=yl2nlejBcg0) ([transcript](https://forum.effectivealtruism.org/posts/q49obZkQujkYmnFWY/vael-gates-risks-from-advanced-ai-june-2022)) (Vael Gates; also see [Risks from Highly-Capable AI](https://forum.effectivealtruism.org/posts/WqQDKKgZTdFe6GAFq/vael-gates-risks-from-highly-capable-ai-march-2023-1))\n\n- [Intro to AI safety, Remastered](https://www.youtube.com/watch?v=pYXy-A4siMw) (Rob Miles)\n\n- [Ensuring smarter-than-human intelligence has a positive outcome](https://intelligence.org/2017/04/12/ensuring/) (Nate Soares)\n\n- [AI Alignment: Why It's Hard, and Where to Start](https://www.youtube.com/watch?v=EUjc1WuyPT8) (Eliezer Yudkowsky)\n\n- Some audio recordings of the readings above (e.g. [Cold Takes Audio](https://podcasts.apple.com/us/podcast/cold-takes-audio/id1580097837), [reading of 80k intro](https://podcasts.apple.com/us/podcast/preventing-an-ai-related-catastrophe-article/id1245002988?i=1000582699751), [EA Forum posts](https://forum.effectivealtruism.org/posts/K5Snxo5EhgmwJJjR2/announcing-audio-narrations-of-ea-forum-posts-1), [EA Radio](https://podcasts.apple.com/us/podcast/ea-radio/id1370275378), [Astral Codex Ten Podcast](https://sscpodcast.libsyn.com/), [Less Wrong Curated Podcast](https://www.lesswrong.com/posts/kDjKF2yFhFEWe4hgC/announcing-the-lesswrong-curated-podcast), [Nonlinear Library](https://forum.effectivealtruism.org/posts/JTZTBienqWEAjGDRv/listen-to-more-ea-content-with-the-nonlinear-library))\n\n## Courses:\n\n- [AI safety Fundamentals](https://aisafetyfundamentals.com/)\n\n - [AI Alignment Course](https://course.aisafetyfundamentals.com/alignment)\n\n - [AI Alignment Course: In-session readings version](https://aisafetyfundamentals.com/alignment-insession-readings)\n\n - [AI Governance Course](https://course.aisafetyfundamentals.com/governance)\n\n - [AI Alignment 201 Course](https://aisafetyfundamentals.com/alignment-201-curriculum)\n\n - [Resources](https://aisafetyfundamentals.com/resources)\n\n- [Intro to ML Safety lectures](https://course.mlsafety.org/) and [online course](https://www.mlsafety.org/intro-to-ml-safety)\n\n- [[shared] \"Key Phenomena in AI Risk\" - Reading Curriuclum](https://docs.google.com/document/d/1HGzMBMXQD9w9K32scqCoSmZNGbxLJE8-siPlonTQz6s/edit) (see the [course announcement](https://www.alignmentforum.org/posts/mqvxR9nrXAzRr3ow9/announcing-key-phenomena-in-ai-risk-facilitated-reading))\n\n- [STS 10SI: Intro to AI Alignment Syllabus [Public]](https://docs.google.com/document/d/1NX0DlZRzD3NP7tBeLjMh76w7-w2s8SxV3wj0P7EYpKY/edit) from Stanford, a modified version of the Alignment Fundamentals curriculum\n\n- [Safety and Control for Artificial General Intelligence (Fall 2018)](https://inst.eecs.berkeley.edu/~cs294-149/fa18/) from UC Berkeley\n\n## Similar lists\n\n- [Overviews of AI risk](https://aiscc.org/2023/09/07/overviews-of-ai-risk/) (Shakeel Hashim)\n\n- [Introductory Resources on AI Risks](https://futureoflife.org/resource/introductory-resources-on-ai-risks/) (Will Jones)\n\n- [Non-Technical Introduction to AI safety](https://haist.ai/non-technical-intro-to-ai-safety) (Harvard AI safety Team)\n\n- [Why Might Misaligned, Advanced AI Cause Catastrophe?](https://aisafetyfundamentals.com/governance-blog/why-might-misaligned-advanced-ai-cause-catastrophe-compilation) (BlueDot Impact)\n\n- [Resources I sent to AI researchers about AI safety](https://forum.effectivealtruism.org/posts/8sAzgNcssH3mdb8ya/resources-i-send-to-ai-researchers-about-ai-safety) (Vael Gates)\n\n- [Introductory Resources on AI Extinction Risks](https://www.simeon.ai/resources-on-ai-risks) (Siméon Campos)\n\n- [AI Risk Discussions: Resources](https://ai-risk-discussions.org/resources)\n\n## Misc:\n\n- **Books**: *The Alignment Problem* by Brian Christian, *Human Compatible* by Stuart Russell*, Superintelligence* by Nick Bostrom, *Life 3.0* by Max Tegmark, *[Smarter Than Us](https://smarterthan.us/toc/)* by Stuart Armstrong, [Better without AI](https://betterwithout.ai/) by [David Chapman](https://twitter.com/Meaningness/status/1625139350005764096), AI sections in *The Precipice* by Toby Ord and *What We Owe The Future* by William MacAskill\n\n - Also see [this post](https://forum.effectivealtruism.org/posts/BxgwGYFuKFu5ioBjs/seeking-input-on-a-list-of-ai-books-for-broader-audience) for a fairly comprehensive list of non-fiction, non-technical books about AI.\n\n- [Convergence publications](https://docs.google.com/document/d/1ok1nogrd0VrK51MCGtULh2aoB-NXjA5tG11mWBsy1WQ/edit) from [Convergence Analysis](https://www.convergenceanalysis.org/research/)\n\n- [Stuart Russell's collection of research and media appearances](https://people.eecs.berkeley.edu/~russell/research/future/)\n\n- [Zvi Mowshowitz’s Substack](https://thezvi.substack.com/) has excellent AI coverage\n\n- [Results of the AI safety Arguments Competition](https://docs.google.com/spreadsheets/d/e/2PACX-1vRgIYiqiFevNu0m3bOzKeJ7S2ugkq2imYmbCicXPYtKTpRXKBMSZmfhbL-C_v_KQKob57e5QUtcuUqP/pubhtml)\n\n- [It Looks Like You’re Trying To Take Over The World](https://gwern.net/fiction/clippy) (Gwern Branwen)\n\n- [AI alignment resources](https://vkrakovna.wordpress.com/ai-safety-resources/) (Victoria Krakovna)\n\n- Wait But Why: [Part 1](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-1.html) - [Part 2](https://waitbutwhy.com/2015/01/artificial-intelligence-revolution-2.html) - [Reply from Luke Muehlhauser](https://lukemuehlhauser.com/a-reply-to-wait-but-why-on-machine-superintelligence/)\n\n- 2021 MIRI Conversations: [Ngo-Yudkowsky](https://www.lesswrong.com/posts/7im8at9PmhbT4JHsW/ngo-and-yudkowsky-on-alignment-difficulty) ([ACX summary](https://astralcodexten.substack.com/p/practically-a-book-review-yudkowsky)), [Christiano-Yudkowsky](https://www.lesswrong.com/posts/vwLxd6hhFvPbvKmBH/yudkowsky-and-christiano-discuss-takeoff-speeds) ([ACX summary](https://astralcodexten.substack.com/p/yudkowsky-contra-christiano-on-ai)), others\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY) (Rob Miles)\n\n- [Arbital AI Alignment list](https://arbital.greaterwrong.com/explore/ai_alignment/)\n\n- [Our World In Data: AI](https://ourworldindata.org/artificial-intelligence#research-and-writing)\n\n- [Nine Things You Should Know About AI](https://www.bbc.co.uk/programmes/articles/3pVB9hLv8TdGjSdJv4CmYjC/nine-things-you-should-know-about-ai) (Stuart Russell)\n\n- FAQs: [superintelligence](https://www.lesswrong.com/posts/LTtNXM9shNM9AC2mp/superintelligence-faq) (Scott Alexander), [intelligence explosion](https://intelligence.org/ie-faq/) (Luke Muehlhauser)\n\n- [CHAI bibliography](https://humancompatible.ai/bibliography)\n\n- [Paths to failure](https://www.lesswrong.com/posts/yv4xAnkEyWvpXNBte/paths-to-failure) (Karl von Wendt et al.)\n\n- [AI Alignment Is Turning from Alchemy Into Chemistry](https://guzey.com/ai/alignment-alchemy/) (Alexey Guzey)\n\n```" } }, { @@ -44673,7 +44673,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```## Notes\n\nSome recommended pieces are in **bold**.\n\nSome of these arguments are substantially better than others. Additionally, some pieces are arguing *for* the importance of AI safety, while discussing counterarguments. Overall, the title of this document may be misleading, as many of these pieces are simply providing some important ideas to consider, rather than giving a comprehensive and conclusive argument.\n\nIt may be a useful exercise to contemplate how these arguments interact with arguments in various [introductions to AI safety](/?state=86J8&question=What%20are%20some%20introductions%20to%20AI%20safety%3F).\n\n## Author classification\n\n- * means the person was working ~full-time on [AI existential risk reduction](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence)\n\n- ^ means the person was at least somewhat part of the AI existential risk community and/or related communities\n\n- The asterisk or caret applies based on the date of publication. People only have an asterisk or caret if this designation was true around the time of publication. If someone critiques AI safety and then starts working on it 5 years later, they will not have an asterisk.\n\n- Some classifications might be incorrect.\n\n## The list\n\n- Some of the **[reviews of "Is power-seeking AI an existential risk?"](https://forum.effectivealtruism.org/posts/GRv3KB2nPFRREXb5o/reviews-of-is-power-seeking-ai-an-existential-risk)** ( Joe Carlsmith^ ); see [Carlsmith's report](https://arxiv.org/abs/2206.13353)\n\n- **[What do we think are the best arguments against this problem being pressing?](https://80000hours.org/problem-profiles/artificial-intelligence/#best-arguments-against-this-problem-being-pressing)** + [Arguments against working on AI risk to which we think there are strong responses](https://80000hours.org/problem-profiles/artificial-intelligence/#good-responses) ( Benjamin Hilton^ )\n\n- **[Success without dignity: a nearcasting story of avoiding catastrophe by luck](https://www.lesswrong.com/posts/jwhcXmigv2LTrbBiB/success-without-dignity-a-nearcasting-story-of-avoiding)** ( Holden Karnofsky* )\n\n- **[My Objections to "We’re All Gonna Die with Eliezer Yudkowsky"](https://www.alignmentforum.org/posts/wAczufCpMdaamF9fy/my-objections-to-we-re-all-gonna-die-with-eliezer-yudkowsky)** ( Quintin Pope* )\n\n- **[Counterarguments to the basic AI x-risk case](https://www.alignmentforum.org/posts/LDRQ5Zfqwi8GjzPYG/counterarguments-to-the-basic-ai-x-risk-case)** ( Katja Grace* ); see [this response](https://www.alignmentforum.org/posts/GQat3Nrd9CStHyGaq/response-to-katja-grace-s-ai-x-risk-counterarguments)\n\n- **[Ben Garfinkel on scrutinising classic AI risk arguments](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/)** ( Rob Wiblin^, Ben Garfinkel* ); see [this slideshow](https://docs.google.com/presentation/d/1sHA3rwTHLIxyZPQObcw8mbNo2jffswH8uYV7N5PwqZE/edit#slide=id.g6230db10d0_0_305)\n\n- **[The Crux List](https://thezvi.substack.com/p/the-crux-list)** + [To Predict What Happens, Ask What Happens](https://thezvi.substack.com/p/to-predict-what-happens-ask-what) + [Stages of Survival](https://thezvi.substack.com/p/stages-of-survival) ( Zvi Mowshowitz^ )\n\n- **[Where I agree and disagree with Eliezer](https://www.alignmentforum.org/posts/CoZhXrhpQxpy9xw9y/where-i-agree-and-disagree-with-eliezer)** ( Paul Christiano* )\n\n- [Imitation Learning is Probably Existentially Safe](https://www.openphilanthropy.org/wp-content/uploads/Imitation_Learning_Safe_ready.pdf) ( Michael Cohen*, Marcus Hutter )\n\n- Some arguments in the [CAIS Philosophy Fellowship Midpoint Deliverables](https://www.lesswrong.com/s/hCwqaQEqeR9mvYtkC) ( various CAIS Philosophy Fellows )\n\n- [‘Dissolving’ AI Risk – Parameter Uncertainty in AI Future Forecasting](https://www.openphilanthropy.org/wp-content/uploads/Dissolving-AI-Risk-v4-Alex-Bates.docx.pdf) ( Alex Bates )\n\n- [Superintelligence Is Not Omniscience](https://aiimpacts.org/superintelligence-is-not-omniscience/) ( Jeffrey Heninger^, Aysja Johnson )\n\n- [Notes on Existential Risk from Artificial Superintelligence](https://michaelnotebook.com/xrisk/index.html) ( Michael Nielsen )\n\n- [Evolution provides no evidence for the sharp left turn](https://www.lesswrong.com/posts/hvz9qjWyv8cLX9JJR/evolution-provides-no-evidence-for-the-sharp-left-turn) ( Quintin Pope* ); see [this response](https://www.lesswrong.com/posts/Wr7N9ji36EvvvrqJK/response-to-quintin-pope-s-evolution-provides-no-evidence)\n\n- [AGI and the EMH: markets are not expecting aligned or unaligned AI in the next 30 years](https://forum.effectivealtruism.org/posts/8c7LycgtkypkgYjZx/agi-and-the-emh-markets-are-not-expecting-aligned-or) ( Trevor Chow, Basil Halperin, J. Zachary Mazlish ); see [this response](https://www.lesswrong.com/posts/k6rkFMM2x5gqJyfmJ/on-ai-and-interest-rates)\n\n- [Order Matters for Deceptive Alignment](https://www.lesswrong.com/posts/CsjLDAhQat4PY6dsc/order-matters-for-deceptive-alignment-1) + [Deceptive Alignment is <1% Likely by Default](https://www.lesswrong.com/s/pvoxjtCbkcweBLn7j/p/RTkatYxJWvXR4Qbyd) ( David Wheaton^ )\n\n- [AGI Catastrophe and Takeover: Some Reference Class-Based Priors](https://forum.effectivealtruism.org/posts/MDNcMLQfxg2n9qXEZ/agi-catastrophe-and-takeover-some-reference-class-based) ( Zach Freitas-Groff^ )\n\n- [How big of a risk is misalignment?](https://www.cold-takes.com/why-ai-alignment-could-be-hard-with-modern-deep-learning/#how-big-of-a-risk-is-misalignment) in “Why AI alignment could be hard with modern deep learning” ( Ajeya Cotra* )\n\n- [Does natural selection favor AIs over humans? Model this!](https://marginalrevolution.com/marginalrevolution/2023/04/does-natural-selection-favor-ais-over-humans-model-this.html) ( Tyler Cowen )\n\n- [Inference Speed is Not Unbounded](https://www.lesswrong.com/posts/Qvec2Qfm5H4WfoS9t/inference-speed-is-not-unbounded) ( OneManyNone )\n\n- [Exaggerating the risks (Part 6: Introducing the Carlsmith report)](https://ineffectivealtruismblog.com/2023/04/08/exaggerating-risks-carlsmith-report/) + [part 7](https://ineffectivealtruismblog.com/2023/05/06/exaggerating-the-risks-part-7-carlsmith-on-instrumental-convergence/) + [part 8](https://ineffectivealtruismblog.com/2023/06/03/exaggerating-the-risks-part-8-carlsmith-wrap-up/) ( David Thorstad^ )\n\n- [The situational awareness assumption in AI risk discourse, or why people should chill](https://nintil.com/situational-awareness-agi/) ( José Luis Ricon )\n\n- “[Frequently Asked Questions](https://www.safe.ai/ai-risk#faq)” in [An Overview of Catastrophic AI Risks](https://www.safe.ai/ai-risk) ( Center for AI Safety* )\n\n- [The bullseye framework: My case against AI doom](https://forum.effectivealtruism.org/posts/Nxtq2d8Xb3QuuHKE8/the-bullseye-framework-my-case-against-ai-doom) ( titotal^ )\n\n- [Frequent arguments about alignment](https://www.alignmentforum.org/posts/6ccG9i5cTncebmhsH/frequent-arguments-about-alignment) ( John Schulman^ )\n\n- [Disagreements with the Yudkowskian future of AI](https://www.alignmentforum.org/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities?commentId=9ZhXbv8p2fr8mkXaa) ( Matthew Barnett^ )\n\n- [Passing the ideological Turing test](https://www.lesswrong.com/posts/tmCJyvaoRei4zSiJr/passing-the-ideological-turing-test-arguments-against) + [part 2](https://www.lesswrong.com/posts/q5GYAyXETnBATNCSw/arguments-against-existential-risk-from-ai-part-2#comments) ( NinaR* )\n\n- [A tale of 2.5 orthogonality theses](https://forum.effectivealtruism.org/posts/kCAcrjvXDt2evMpBz/a-tale-of-2-75-orthogonality-theses) ( Arepo^ )\n\n- [Why transformative artificial intelligence is really, really hard to achieve](https://thegradient.pub/why-transformative-artificial-intelligence-is-really-really-hard-to-achieve/) ( Arjun Ramani, Zhengdong Wang ); see [this reply](https://forum.effectivealtruism.org/posts/aXGDHeyhaep5sLzuG/link-post-interesting-shallow-round-up-of-reasons-to-be?commentId=BaK9HBmLjY57ev7MM)\n\n- [Transformative AGI by 2043 is <1% likely](https://forum.effectivealtruism.org/posts/ARkbWch5RMsj6xP5p/transformative-agi-by-2043-is-less-than-1-likely) ( Ari Allyn-Feuer, Ted Sanders ); see [this comment](https://forum.effectivealtruism.org/posts/ARkbWch5RMsj6xP5p/transformative-agi-by-2043-is-less-than-1-likely?commentId=B2oW9r5LjiWotEK2a)\n\n- [What do XPT forecasts tell us about AI risk?](https://forum.effectivealtruism.org/posts/K2xQrrXn5ZSgtntuT/what-do-xpt-forecasts-tell-us-about-ai-risk-1) ( Forecasting Research Institute^, rosehadshar^ )\n\n- [AI Doom and David Hume: A Defence of Empiricism in AI Safety](https://forum.effectivealtruism.org/posts/MDkYSuCzFbEgGgtAd/ai-doom-and-david-hume-a-defence-of-empiricism-in-ai-safety) ( Matt Beard^ )\n\n- [[AN #80]: Why AI risk might be solved without additional intervention from longtermists](https://www.alignmentforum.org/posts/QknPz9JQTQpGdaWDp/an-80-why-ai-risk-might-be-solved-without-additional) ( Rohin Shah* summarizing other people’s views )\n\n- [But exactly how complex and fragile?](https://www.alignmentforum.org/posts/xzFQp7bmkoKfnae9R/but-exactly-how-complex-and-fragile) ( Katja Grace* )\n\n- “[a long thread about why I'm personally not worried yet](https://twitter.com/WilliamAEden/status/1630690003830599680)” ( William Eden^ )\n\n- [A Critique of AI Takeover Scenarios](https://forum.effectivealtruism.org/posts/j7X8nQ7YvvA7Pi4BX/a-critique-of-ai-takeover-scenarios) ( James Fodor^ )\n\n- [Against a General Factor of Doom](https://aiimpacts.org/against-a-general-factor-of-doom/) ( Jeffrey Heninger^ )\n\n- [A list of good heuristics that the case for AI x-risk fails](https://www.alignmentforum.org/posts/bd2K3Jdz82csjCFob/a-list-of-good-heuristics-that-the-case-for-ai-x-risk-fails) ( David Krueger* )\n\n- [Concrete Reasons for Hope about AI](https://www.alignmentforum.org/posts/BfN88BfZQ4XGeZkda/concrete-reasons-for-hope-about-ai) ( Zac Hatfield-Dodds* )\n\n- [My highly personal skepticism braindump on existential risk from artificial intelligence.](https://nunosempere.com/blog/2023/01/23/my-highly-personal-skepticism-braindump-on-existential-risk/) ( Nuño Sempere^ ); see [this summary](https://forum.effectivealtruism.org/posts/L6ZmggEJw8ri4KB8X/my-highly-personal-skepticism-braindump-on-existential-risk?commentId=hD4AvR8An2enTnQZC)\n\n- [Is Avoiding Extinction from AI Really an Urgent Priority?](https://www.fast.ai/posts/2023-05-31-extinction.html) ( Seth Lazar, Jeremy Howard, Arvind Narayanan )\n\n- [AI will change the world, but won’t take it over by playing “3-dimensional chess”.](https://www.alignmentforum.org/posts/zB3ukZJqt3pQDw9jz/ai-will-change-the-world-but-won-t-take-it-over-by-playing-3) ( Boaz Barak, Ben Edelman ); see [these comments](https://www.lesswrong.com/posts/zB3ukZJqt3pQDw9jz/ai-will-change-the-world-but-won-t-take-it-over-by-playing-3#comments)\n\n- [Arguments for AI Risk](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_for_AI_risk) and [Arguments against AI risk](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_against_AI_risk) sections of "AI Alignment 2018-19 Review." ( Rohin Shah* )\n\n- [Reasons I’ve been hesitant about high levels of near-ish AI risk](https://forum.effectivealtruism.org/posts/5hprBzprm7JjJTHNX/reasons-i-ve-been-hesitant-about-high-levels-of-near-ish-ai-1) ( Eli Lifland*^ )\n\n- [AI Risk Skepticism](https://arxiv.org/abs/2105.02704) ( Roman Yampolskiy* )\n\n- [How sure are we about this AI stuff?](https://forum.effectivealtruism.org/posts/9sBAW3qKppnoG3QPq/ben-garfinkel-how-sure-are-we-about-this-ai-stuff) ( Ben Garfinkel* )\n\n- [On Deference and Yudkowsky's AI Risk Estimates](https://forum.effectivealtruism.org/posts/NBgpPaz5vYe3tH4ga/on-deference-and-yudkowsky-s-ai-risk-estimates) ( Ben Garfinkel* )\n\n- [The hot mess theory of AI misalignment: More intelligent agents behave less coherently](https://sohl-dickstein.github.io/2023/03/09/coherence.html) ( Jascha Sohl-Dickstein ); see [this response](https://forum.effectivealtruism.org/posts/CaCWfjGHdw7H4o6XL/notes-on-the-hot-mess-theory-of-ai-misalignment)\n\n- [Artificial superintelligence and its limits: why AlphaZero cannot become a general agent](https://link.springer.com/article/10.1007/s00146-020-01070-3) ( Karim Jebari, Joakim Lundborg ); see [this response](https://www.alignmentforum.org/posts/rokpjK3jcy5aKKwiT/reply-to-jebari-and-lundborg-on-artificial-superintelligence-1)\n\n- [Existential risk from artificial general intelligence: Skepticism](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence#Skepticism) ( Wikipedia )\n\n- [Reframing Superintelligence: Comprehensive AI Services as General Intelligence](https://www.fhi.ox.ac.uk/reframing/) ( K Eric Drexler^ )\n\n- [We Aren't Close To Creating A Rapidly Self-Improving AI](https://jacobbuckman.substack.com/p/we-arent-close-to-creating-a-rapidly) ( Jacob Buckman )\n\n- [AI Risk, Again](https://www.overcomingbias.com/p/ai-risk-again) + [I Still Don't Get Foom](https://www.overcomingbias.com/p/30855html) + [How Does Brain Code Differ?](https://www.overcomingbias.com/p/how-does-brain-code-differhtml) ( Robin Hanson^ )\n\n- [What Are Reasonable AI Fears?](https://quillette.com/2023/04/14/what-are-reasonable-ai-fears/) ( Robin Hanson^ ); see [this response](https://forum.effectivealtruism.org/posts/XnnfPC2gsgRFZezkE/linkpost-what-are-reasonable-ai-fears-by-robin-hanson-2023?commentId=b7upK9it4S7uBrkkC)\n\n- [Agency Failure AI Apocalypse?](https://www.overcomingbias.com/p/agency-failure-ai-apocalypsehtml) ( Robin Hanson^ ); see [this response](https://www.lesswrong.com/posts/Z5ZBPEgufmDsm7LAv/what-can-the-principal-agent-literature-tell-us-about-ai)\n\n- “I Object!” section of [Extinction Risk from Artificial Intelligence](https://aisafety.wordpress.com/) ( Michael Cohen* )\n\n- [Blake Richards on Why he is Skeptical of Existential Risk from AI](https://forum.effectivealtruism.org/posts/BqokXcCQrvkk2BktH/blake-richards-on-why-he-is-skeptical-of-existential-risk) on [The Inside View](https://theinsideview.ai/blake) (Blake Richards, Michaël Trazzi* )\n\n- [Gary Marcus and Stuart Russell discuss AI risk on the Sam Harris podcast](https://www.samharris.org/podcasts/making-sense-episodes/312-the-trouble-with-ai) ( Gary Marcus, Sam Harris )\n\n- [Alignment By Default](https://www.alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default) ( John Wentworth* )\n\n- [Melanie Mitchell and Stuart Russell debate](https://munkdebates.com/podcast/the-rise-of-thinking-machines) for Munk Debates ( Melanie Mitchell, Stuart Russell* )\n\n- [Why AI is Harder Than We Think](https://forum.effectivealtruism.org/posts/C94JhsbSfZ8iPNedy/why-ai-is-harder-than-we-think-melanie-mitchell) ( Melanie Mitchell ); see [Richard Ngo's comment](https://forum.effectivealtruism.org/posts/C94JhsbSfZ8iPNedy/why-ai-is-harder-than-we-think-melanie-mitchell?commentId=mkNwocFphweG8hHrE)\n\n- [A shift in arguments for AI risk](https://fragile-credences.github.io/prioritising-ai/) ( Tom Adamczewski )\n\n- [How to navigate the AI apocalypse as a sane person](https://erikhoel.substack.com/p/how-to-navigate-the-ai-apocalypse) ( Eric Hoel )\n\n- [Debate on Instrumental Convergence between LeCun, Russell, Bengio, Zador, and More](https://www.alignmentforum.org/posts/WxW6Gc6f2z3mzmqKs/debate-on-instrumental-convergence-between-lecun-russell) ( Yann LeCun, Stuart Russell*, Yoshua Bengio, Tony Zador, and more )\n\n- [Why I Am Not (As Much Of) A Doomer (As Some People)](https://astralcodexten.substack.com/p/why-i-am-not-as-much-of-a-doomer) ( Scott Alexander^ )\n\n- [My Bet: AI Solves Flubs](https://astralcodexten.substack.com/p/my-bet-ai-size-solves-flubs) ( Scott Alexander^ )\n\n- [AI Researchers On AI Risk](https://slatestarcodex.com/2015/05/22/ai-researchers-on-ai-risk/) ( Scott Alexander^ )\n\n- [Contra Acemoglu On...Oh God, We're Doing This Again, Aren't We?](https://astralcodexten.substack.com/p/contra-acemoglu-onoh-god-were-doing) + [highlights from the comments](https://astralcodexten.substack.com/p/highlights-from-the-comments-on-acemoglu) ( Scott Alexander^ responding to Daron Acemoglu )\n\n- [Maybe The Real Superintelligent AI Is Extremely Smart Computers](https://slatestarcodex.com/2018/01/15/maybe-the-real-superintelligent-ai-is-extremely-smart-computers/) ( Scott Alexander^ responding to Ted Chiang )\n\n- [10 Reasons to Ignore AI Safety](https://www.youtube.com/watch?v=9i1WlcCudpU) ( Rob Miles* )\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY) ( Rob Miles* )\n\n- [How much EA analysis of AI safety as a cause area exists?](https://forum.effectivealtruism.org/posts/u3ePLsbtpkmFdD7Nb/how-much-ea-analysis-of-ai-safety-as-a-cause-area-exists-1) ( Richard Ngo* )\n\n- [Heretical Thoughts on AI | Eli Dourado](https://forum.effectivealtruism.org/posts/9XGhNArGhiZ3daQws/heretical-thoughts-on-ai-or-eli-dourado) ( Cinera^ )\n\n- [Some abstract, non-technical reasons to be non-maximally-pessimistic about AI alignment](https://www.alignmentforum.org/posts/vT4tsttHgYJBoKi4n/some-abstract-non-technical-reasons-to-be-non-maximally) ( Rob Bensinger* )\n\n- [Can a Paperclip Maximizer Overthrow the CCP?](https://richardhanania.substack.com/p/can-a-paperclip-maximizer-overthrow) + [Pinker on Alignment and Intelligence as a "Magical Potion"](https://richardhanania.substack.com/p/pinker-on-alignment-and-intelligence) ( Richard Hanania )\n\n- [Superintelligence: The Idea That Eats Smart People](https://idlewords.com/talks/superintelligence.htm) + [video](https://www.youtube.com/watch?v=kErHiET5YPw) ( Maciej Ceglowski )\n\n- [How I failed to form views on AI safety](https://forum.effectivealtruism.org/posts/ST3JjsLdTBnaK46BD/how-i-failed-to-form-views-on-ai-safety-3) ( Ada-Maaria Hyvärinen^ )\n\n- [There are no coherence theorems](https://www.alignmentforum.org/posts/yCuzmCsE86BTu9PfA/there-are-no-coherence-theorems) ( Elliott Thornley* )\n\n- [The Singularity is not coming](https://fchollet.com/blog/the-singularity-is-not-coming.html), [On the Measure of Intelligence](https://arxiv.org/abs/1911.01547), [The implausibility of intelligence explosion](https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec) ( François Chollet ); see [Eliezer Yudkowsky’s reply to the last piece](https://intelligence.org/2017/12/06/chollet/)\n\n- ["Bad AI DontKillEveryoneism Takes"](https://thezvi.substack.com/p/ai-3#%C2%A7bad-ai-dontkilleveryoneism-takes) section of [AI #3](https://thezvi.substack.com/p/ai-3) ( Zvi Mowshowitz* )\n\n- [Some abstract, non-technical reasons to be non-maximally-pessimistic about AI alignment](https://www.alignmentforum.org/posts/vT4tsttHgYJBoKi4n/some-abstract-non-technical-reasons-to-be-non-maximally) ( Rob Bensinger* )\n\n- [The Preference Fulfillment Hypothesis](https://www.alignmentforum.org/posts/Kf6sKZudduhJmykTg/the-preference-fulfillment-hypothesis) ( Kaj Sotala^ )\n\n- [How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence](https://www.frontiersin.org/articles/10.3389/fevo.2021.806283/full) ( Andrea Roli, Johannes Jaeger, Stuart Kauffman )\n\n- [Don’t Worry about Superintelligence](https://jetpress.org/v26.1/agar.htm) ( Nicholas Agar )\n\n- [Where I'm at with AI risk: convinced of danger but not (yet) of doom](https://forum.effectivealtruism.org/posts/fXkCcsyF8M6dp6sXx/where-i-m-at-with-ai-risk-convinced-of-danger-but-not-yet-of) ( Amber Dawn^ )\n\n- [How Much Should You Freak out About AI?](https://fakenous.substack.com/p/how-much-should-you-freak-out-about) ( Michael Huemer )\n\n- [Reasons you might think human-level AI is unlikely to happen soon](https://forum.effectivealtruism.org/posts/kJzPDbgmA8nrLqTgH/asya-bergal-reasons-you-might-think-human-level-ai-is) ( Asya Bergal* )\n\n- [Existential risk, AI, and the inevitable turn in human history](https://marginalrevolution.com/marginalrevolution/2023/03/existential-risk-and-the-turn-in-human-history.html) ( Tyler Cowen ); see [this response from Scott Alexander](https://astralcodexten.substack.com/p/mr-tries-the-safe-uncertainty-fallacy) and the comments on it from Tyler and Scott + [this response from Zvi Mowshowitz](https://thezvi.substack.com/p/response-to-tyler-cowens-existential) + [this response from Leopold Aschenbrenner](https://www.forourposterity.com/response-to-tyler-cowen-on-ai-risk/))\n\n- [Don’t Fear the Terminator](https://blogs.scientificamerican.com/observations/dont-fear-the-terminator/) ( Yann LeCun, Anthony Zador )\n\n- [Is Human Intelligence Simple? Part 3: Disambiguating Types of Simplicity](https://sarahconstantin.substack.com/p/is-human-intelligence-simple-part-75c) ( Sarah Constantin^ )\n\n- [More AI debate between me and Steven Pinker!](https://scottaaronson.blog/?p=6593) + [Steven Pinker and I debate AI scaling!](https://scottaaronson.blog/?p=6524) + [Reform AI Alignment](https://scottaaronson.blog/?p=6821) ( Scott Aaronson^ )\n\n- [The Prospect of an AI Winter](https://forum.effectivealtruism.org/posts/i7aKatsck7x3aLoiH/the-prospect-of-an-ai-winter) ( Erich Grunewald )\n\n- [Alan Chan discussing alignment with Tim Scarfe of Machine Learning Street Talk](https://www.youtube.com/watch?v=XBMnOsv9_pk) ( Alan Chan*, Tim Scarfe )\n\n- [Against AI Doomerism, For AI Progress](https://maxmore.substack.com/p/against-ai-doomerism-for-ai-progress) ( Max More )\n\n- [What are some objections to the importance of AI alignment](https://aisafety.info?state=7794_)? ( Søren Elverlin* )\n\n- [But Have They Engaged with the Arguments?](https://philiptrammell.com/blog/46) ( Philip Trammell^ )\n\n- [On The Impossibility of AI Alignment](https://lacker.io/ai/2023/04/03/on-the-impossibility-of-ai-alignment.html) ( Kevin Lacker )\n\n- [How to know if artificial intelligence is about to destroy civilization](https://www.technologyreview.com/2020/02/25/906083/artificial-intelligence-destroy-civilization-canaries-robot-overlords-take-over-world-ai/) ( Oren Etzioni ); see [this summary](https://forum.effectivealtruism.org/posts/7x2BokkkemjnXD9B6/new-article-from-oren-etzioni)\n\n- [The AI Messiah](https://forum.effectivealtruism.org/posts/r72wjMns9wyaAhWhc/the-ai-messiah) ( ryancbriggs^ )\n\n- [How good is humanity at coordination?](https://www.lesswrong.com/posts/y3jDSoTTdBD9Nj3Gx/how-good-is-humanity-at-coordination) ( Buck Shlegeris* )\n\n- [The Orthogonality Thesis is Not Obviously True](https://forum.effectivealtruism.org/posts/e2dK25iWou3irqFss/the-orthogonality-thesis-is-not-obviously-true) ( Omnizoid^ )\n\n- [Bad alignment take bingo with replies](https://twitter.com/robbensinger/status/1503220020175769602) ( Rob Bensinger* ); see the card [“with some 2023 additions”](https://twitter.com/carad0/status/1632427388230422529); note these bingo cards are mostly designed to be funny rather than truth-seeking, although they do contain some core ideas of various arguments\n\n- [Memes that caricature some common counterarguments](https://twitter.com/AISafetyMemes/status/1647308848506744833) ( AI Notkilleveryoneism Memes^ ); note that these memes lack nuance and can be seriously misleading\n\n- [High-level hopes for AI alignment](https://www.cold-takes.com/high-level-hopes-for-ai-alignment/) ( Holden Karnofsky* )\n\n- [Response to e/acc arguments](https://twitter.com/DanHendrycks/status/1651740865159901184) ( Dan Hendrycks* )\n\n- [The 'Wild' and 'Wacky' Claims of Karnofsky’s ‘Most Important Century’](https://forum.effectivealtruism.org/posts/TCsanzwKGqfBBTye9/the-wild-and-wacky-claims-of-karnofsky-s-most-important) ( Spencer Becker-Kahn* )\n\n- ["Diamondoid bacteria" nanobots: deadly threat or dead-end? A nanotech investigation](https://www.lesswrong.com/posts/bc8Ssx5ys6zqu3eq9/diamondoid-bacteria-nanobots-deadly-threat-or-dead-end-a) + [When do "brains beat brawn" in Chess? An experiment](https://www.lesswrong.com/posts/odtMt7zbMuuyavaZB/when-do-brains-beat-brawn-in-chess-an-experiment) + [Could a superintelligence deduce general relativity from a falling apple? An investigation](https://www.lesswrong.com/posts/ALsuxpdqeTXwgEJeZ/could-a-superintelligence-deduce-general-relativity-from-a) ( titotal^ )\n\n- [The 'Don't Look Up' Thinking That Could Doom Us With AI](https://time.com/6273743/thinking-that-could-doom-us-with-ai/) ( Max Tegmark* )\n\n- [Why do some AI researchers dismiss the potential risks to humanity?](https://www.newscientist.com/article/2369626-why-do-some-ai-researchers-dismiss-the-potential-risks-to-humanity/) ( David Krueger* )\n\n- [The “General Problem Solver” Does Not Exist: Mortimer Taube and the Art of AI Criticism](https://www.shunryugarvey.com/wp-content/uploads/2021/03/Garvey_2021_The-General-Problem-Solver-Does-Not-Exist-1.pdf) ( Shunryu Colin Garvey )\n\n- [Unsavory medicine for technological civilization: Introducing ‘Artificial Intelligence & its Discontents’](https://www.shunryugarvey.com/wp-content/uploads/2021/03/YISR_I_46_1-2_TEXT_P-1.pdf) ( Shunryu Colin Garvey )\n\n- [Is Superintelligence Impossible?](https://www.edge.org/conversation/john_brockman-is-superintelligence-impossible) ( Daniel Dennett and David Chalmers )\n\n- [“Literally every conversation I have on Twitter about long-term risk leaves me more worried than when I started.”](https://twitter.com/GaryMarcus/status/1657420851556519936) ( Gary Marcus )\n\n- [Steelman arguments against the idea that AGI is inevitable and will arrive soon](https://www.lesswrong.com/posts/3kijTbgfizDgSgst3/steelman-arguments-against-the-idea-that-agi-is-inevitable) ( RomanS^ )\n\n## Other collections\n\n- ["Alternate Perspectives" in STS 10SI: Intro to AI Alignment](https://docs.google.com/document/d/1NX0DlZRzD3NP7tBeLjMh76w7-w2s8SxV3wj0P7EYpKY/edit#heading=h.3bexxn1cvdu) ( Stanford AI Alignment )\n\n- [Object-level AI risk skepticism](https://www.lesswrong.com/tag/object-level-ai-risk-skepticim) tag ( LessWrong )\n\n- [“AI Success Models”](https://www.lesswrong.com/tag/ai-success-models?sortedBy=top) tag ( LessWrong )\n\n- [A contra AI FOOM reading list](https://magnusvinding.com/2017/12/16/a-contra-ai-foom-reading-list/) ( Magnus Vinding^ )\n\n- [Richard Ngo Critiques Collection](https://docs.google.com/document/d/1zGxvxccxNap4KL70iqHiOBw8voB38Bhp-Z5WpvPQm-w/edit) ( Richard Ngo* )\n\n- [AI Alignment 2018-19 Review](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_against_AI_risk) ( Rohin Shah* )\n\n- [Has anyone written a case against AI x-risk where it is clear they understand the case *for* x-risk superbly well](https://twitter.com/michael_nielsen/status/1658622154093764610) ( Michael Nielsen )\n\n- [Who are some prominent reasonable people who are confident that AI won't kill everyone?](https://www.lesswrong.com/posts/rCZ9fruWriD6uGNLp/who-are-some-prominent-reasonable-people-who-are-confident) ( LessWrong )\n\n- [Future Fund Worldview Prize](https://forum.effectivealtruism.org/topics/future-fund-worldview-prize) tag ( EA Forum )\n\n- [Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/) ( Open Philanthropy )\n\n- [AI skepticism](https://forum.effectivealtruism.org/topics/ai-skepticism) tag ( EA Forum )\n\n```" + "Rich Text": "```## Notes\n\nSome recommended pieces are in **bold**.\n\nSome of these arguments are substantially better than others. Additionally, some pieces are arguing *for* the importance of AI safety, while discussing counterarguments. Overall, the title of this document may be misleading, as many of these pieces are simply providing some important ideas to consider, rather than giving a comprehensive and conclusive argument.\n\nIt may be a useful exercise to contemplate how these arguments interact with arguments in various [introductions to AI safety](/?state=86J8&question=What%20are%20some%20introductions%20to%20AI%20safety%3F).\n\n## Author classification\n\n- * means the person was working ~full-time on [AI existential risk reduction](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence)\n\n- ^ means the person was at least somewhat part of the AI existential risk community and/or related communities\n\n- The asterisk or caret applies based on the date of publication. People only have an asterisk or caret if this designation was true around the time of publication. If someone critiques AI safety and then starts working on it 5 years later, they will not have an asterisk.\n\n- Some classifications might be incorrect.\n\n## The list\n\n- Some of the **[reviews of "Is power-seeking AI an existential risk?"](https://forum.effectivealtruism.org/posts/GRv3KB2nPFRREXb5o/reviews-of-is-power-seeking-ai-an-existential-risk)** ( Joe Carlsmith^ ); see [Carlsmith's report](https://arxiv.org/abs/2206.13353)\n\n- **[What do we think are the best arguments against this problem being pressing?](https://80000hours.org/problem-profiles/artificial-intelligence/#best-arguments-against-this-problem-being-pressing)** + [Arguments against working on AI risk to which we think there are strong responses](https://80000hours.org/problem-profiles/artificial-intelligence/#good-responses) ( Benjamin Hilton^ )\n\n- **[Success without dignity: a nearcasting story of avoiding catastrophe by luck](https://www.lesswrong.com/posts/jwhcXmigv2LTrbBiB/success-without-dignity-a-nearcasting-story-of-avoiding)** ( Holden Karnofsky* )\n\n- **[My Objections to "We’re All Gonna Die with Eliezer Yudkowsky"](https://www.alignmentforum.org/posts/wAczufCpMdaamF9fy/my-objections-to-we-re-all-gonna-die-with-eliezer-yudkowsky)** ( Quintin Pope* )\n\n- **[Counterarguments to the basic AI x-risk case](https://www.alignmentforum.org/posts/LDRQ5Zfqwi8GjzPYG/counterarguments-to-the-basic-ai-x-risk-case)** ( Katja Grace* ); see [this response](https://www.alignmentforum.org/posts/GQat3Nrd9CStHyGaq/response-to-katja-grace-s-ai-x-risk-counterarguments)\n\n- **[Ben Garfinkel on scrutinising classic AI risk arguments](https://80000hours.org/podcast/episodes/ben-garfinkel-classic-ai-risk-arguments/)** ( Rob Wiblin^, Ben Garfinkel* ); see [this slideshow](https://docs.google.com/presentation/d/1sHA3rwTHLIxyZPQObcw8mbNo2jffswH8uYV7N5PwqZE/edit#slide=id.g6230db10d0_0_305)\n\n- **[The Crux List](https://thezvi.substack.com/p/the-crux-list)** + [To Predict What Happens, Ask What Happens](https://thezvi.substack.com/p/to-predict-what-happens-ask-what) + [Stages of Survival](https://thezvi.substack.com/p/stages-of-survival) ( Zvi Mowshowitz^ )\n\n- **[Where I agree and disagree with Eliezer](https://www.alignmentforum.org/posts/CoZhXrhpQxpy9xw9y/where-i-agree-and-disagree-with-eliezer)** ( Paul Christiano* )\n\n- [Imitation Learning is Probably Existentially Safe](https://www.openphilanthropy.org/wp-content/uploads/Imitation_Learning_Safe_ready.pdf) ( Michael Cohen*, Marcus Hutter )\n\n- Some arguments in the [CAIS Philosophy Fellowship Midpoint Deliverables](https://www.lesswrong.com/s/hCwqaQEqeR9mvYtkC) ( various CAIS Philosophy Fellows )\n\n- [‘Dissolving’ AI Risk – Parameter Uncertainty in AI Future Forecasting](https://www.openphilanthropy.org/wp-content/uploads/Dissolving-AI-Risk-v4-Alex-Bates.docx.pdf) ( Alex Bates )\n\n- [Superintelligence Is Not Omniscience](https://aiimpacts.org/superintelligence-is-not-omniscience/) ( Jeffrey Heninger^, Aysja Johnson )\n\n- [Notes on Existential Risk from Artificial Superintelligence](https://michaelnotebook.com/xrisk/index.html) ( Michael Nielsen )\n\n- [Evolution provides no evidence for the sharp left turn](https://www.lesswrong.com/posts/hvz9qjWyv8cLX9JJR/evolution-provides-no-evidence-for-the-sharp-left-turn) ( Quintin Pope* ); see [this response](https://www.lesswrong.com/posts/Wr7N9ji36EvvvrqJK/response-to-quintin-pope-s-evolution-provides-no-evidence)\n\n- [AGI and the EMH: markets are not expecting aligned or unaligned AI in the next 30 years](https://forum.effectivealtruism.org/posts/8c7LycgtkypkgYjZx/agi-and-the-emh-markets-are-not-expecting-aligned-or) ( Trevor Chow, Basil Halperin, J. Zachary Mazlish ); see [this response](https://www.lesswrong.com/posts/k6rkFMM2x5gqJyfmJ/on-ai-and-interest-rates)\n\n- [Order Matters for Deceptive Alignment](https://www.lesswrong.com/posts/CsjLDAhQat4PY6dsc/order-matters-for-deceptive-alignment-1) + [Deceptive Alignment is <1% Likely by Default](https://www.lesswrong.com/s/pvoxjtCbkcweBLn7j/p/RTkatYxJWvXR4Qbyd) ( David Wheaton^ )\n\n- [AGI Catastrophe and Takeover: Some Reference Class-Based Priors](https://forum.effectivealtruism.org/posts/MDNcMLQfxg2n9qXEZ/agi-catastrophe-and-takeover-some-reference-class-based) ( Zach Freitas-Groff^ )\n\n- [How big of a risk is misalignment?](https://www.cold-takes.com/why-ai-alignment-could-be-hard-with-modern-deep-learning/#how-big-of-a-risk-is-misalignment) in “Why AI alignment could be hard with modern deep learning” ( Ajeya Cotra* )\n\n- [Does natural selection favor AIs over humans? Model this!](https://marginalrevolution.com/marginalrevolution/2023/04/does-natural-selection-favor-ais-over-humans-model-this.html) ( Tyler Cowen )\n\n- [Inference Speed is Not Unbounded](https://www.lesswrong.com/posts/Qvec2Qfm5H4WfoS9t/inference-speed-is-not-unbounded) ( OneManyNone )\n\n- [Exaggerating the risks (Part 6: Introducing the Carlsmith report)](https://ineffectivealtruismblog.com/2023/04/08/exaggerating-risks-carlsmith-report/) + [part 7](https://ineffectivealtruismblog.com/2023/05/06/exaggerating-the-risks-part-7-carlsmith-on-instrumental-convergence/) + [part 8](https://ineffectivealtruismblog.com/2023/06/03/exaggerating-the-risks-part-8-carlsmith-wrap-up/) ( David Thorstad^ )\n\n- [The situational awareness assumption in AI risk discourse, or why people should chill](https://nintil.com/situational-awareness-agi/) ( José Luis Ricon )\n\n- “[Frequently Asked Questions](https://www.safe.ai/ai-risk#faq)” in [An Overview of Catastrophic AI Risks](https://www.safe.ai/ai-risk) ( Center for AI safety* )\n\n- [The bullseye framework: My case against AI doom](https://forum.effectivealtruism.org/posts/Nxtq2d8Xb3QuuHKE8/the-bullseye-framework-my-case-against-ai-doom) ( titotal^ )\n\n- [Frequent arguments about alignment](https://www.alignmentforum.org/posts/6ccG9i5cTncebmhsH/frequent-arguments-about-alignment) ( John Schulman^ )\n\n- [Disagreements with the Yudkowskian future of AI](https://www.alignmentforum.org/posts/uMQ3cqWDPHhjtiesc/agi-ruin-a-list-of-lethalities?commentId=9ZhXbv8p2fr8mkXaa) ( Matthew Barnett^ )\n\n- [Passing the ideological Turing test](https://www.lesswrong.com/posts/tmCJyvaoRei4zSiJr/passing-the-ideological-turing-test-arguments-against) + [part 2](https://www.lesswrong.com/posts/q5GYAyXETnBATNCSw/arguments-against-existential-risk-from-ai-part-2#comments) ( NinaR* )\n\n- [A tale of 2.5 orthogonality theses](https://forum.effectivealtruism.org/posts/kCAcrjvXDt2evMpBz/a-tale-of-2-75-orthogonality-theses) ( Arepo^ )\n\n- [Why transformative artificial intelligence is really, really hard to achieve](https://thegradient.pub/why-transformative-artificial-intelligence-is-really-really-hard-to-achieve/) ( Arjun Ramani, Zhengdong Wang ); see [this reply](https://forum.effectivealtruism.org/posts/aXGDHeyhaep5sLzuG/link-post-interesting-shallow-round-up-of-reasons-to-be?commentId=BaK9HBmLjY57ev7MM)\n\n- [Transformative AGI by 2043 is <1% likely](https://forum.effectivealtruism.org/posts/ARkbWch5RMsj6xP5p/transformative-agi-by-2043-is-less-than-1-likely) ( Ari Allyn-Feuer, Ted Sanders ); see [this comment](https://forum.effectivealtruism.org/posts/ARkbWch5RMsj6xP5p/transformative-agi-by-2043-is-less-than-1-likely?commentId=B2oW9r5LjiWotEK2a)\n\n- [What do XPT forecasts tell us about AI risk?](https://forum.effectivealtruism.org/posts/K2xQrrXn5ZSgtntuT/what-do-xpt-forecasts-tell-us-about-ai-risk-1) ( Forecasting Research Institute^, rosehadshar^ )\n\n- [AI Doom and David Hume: A Defence of Empiricism in AI safety](https://forum.effectivealtruism.org/posts/MDkYSuCzFbEgGgtAd/ai-doom-and-david-hume-a-defence-of-empiricism-in-ai-safety) ( Matt Beard^ )\n\n- [[AN #80]: Why AI risk might be solved without additional intervention from longtermists](https://www.alignmentforum.org/posts/QknPz9JQTQpGdaWDp/an-80-why-ai-risk-might-be-solved-without-additional) ( Rohin Shah* summarizing other people’s views )\n\n- [But exactly how complex and fragile?](https://www.alignmentforum.org/posts/xzFQp7bmkoKfnae9R/but-exactly-how-complex-and-fragile) ( Katja Grace* )\n\n- “[a long thread about why I'm personally not worried yet](https://twitter.com/WilliamAEden/status/1630690003830599680)” ( William Eden^ )\n\n- [A Critique of AI Takeover Scenarios](https://forum.effectivealtruism.org/posts/j7X8nQ7YvvA7Pi4BX/a-critique-of-ai-takeover-scenarios) ( James Fodor^ )\n\n- [Against a General Factor of Doom](https://aiimpacts.org/against-a-general-factor-of-doom/) ( Jeffrey Heninger^ )\n\n- [A list of good heuristics that the case for AI x-risk fails](https://www.alignmentforum.org/posts/bd2K3Jdz82csjCFob/a-list-of-good-heuristics-that-the-case-for-ai-x-risk-fails) ( David Krueger* )\n\n- [Concrete Reasons for Hope about AI](https://www.alignmentforum.org/posts/BfN88BfZQ4XGeZkda/concrete-reasons-for-hope-about-ai) ( Zac Hatfield-Dodds* )\n\n- [My highly personal skepticism braindump on existential risk from artificial intelligence.](https://nunosempere.com/blog/2023/01/23/my-highly-personal-skepticism-braindump-on-existential-risk/) ( Nuño Sempere^ ); see [this summary](https://forum.effectivealtruism.org/posts/L6ZmggEJw8ri4KB8X/my-highly-personal-skepticism-braindump-on-existential-risk?commentId=hD4AvR8An2enTnQZC)\n\n- [Is Avoiding Extinction from AI Really an Urgent Priority?](https://www.fast.ai/posts/2023-05-31-extinction.html) ( Seth Lazar, Jeremy Howard, Arvind Narayanan )\n\n- [AI will change the world, but won’t take it over by playing “3-dimensional chess”.](https://www.alignmentforum.org/posts/zB3ukZJqt3pQDw9jz/ai-will-change-the-world-but-won-t-take-it-over-by-playing-3) ( Boaz Barak, Ben Edelman ); see [these comments](https://www.lesswrong.com/posts/zB3ukZJqt3pQDw9jz/ai-will-change-the-world-but-won-t-take-it-over-by-playing-3#comments)\n\n- [Arguments for AI Risk](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_for_AI_risk) and [Arguments against AI risk](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_against_AI_risk) sections of "AI Alignment 2018-19 Review." ( Rohin Shah* )\n\n- [Reasons I’ve been hesitant about high levels of near-ish AI risk](https://forum.effectivealtruism.org/posts/5hprBzprm7JjJTHNX/reasons-i-ve-been-hesitant-about-high-levels-of-near-ish-ai-1) ( Eli Lifland*^ )\n\n- [AI Risk Skepticism](https://arxiv.org/abs/2105.02704) ( Roman Yampolskiy* )\n\n- [How sure are we about this AI stuff?](https://forum.effectivealtruism.org/posts/9sBAW3qKppnoG3QPq/ben-garfinkel-how-sure-are-we-about-this-ai-stuff) ( Ben Garfinkel* )\n\n- [On Deference and Yudkowsky's AI Risk Estimates](https://forum.effectivealtruism.org/posts/NBgpPaz5vYe3tH4ga/on-deference-and-yudkowsky-s-ai-risk-estimates) ( Ben Garfinkel* )\n\n- [The hot mess theory of AI misalignment: More intelligent agents behave less coherently](https://sohl-dickstein.github.io/2023/03/09/coherence.html) ( Jascha Sohl-Dickstein ); see [this response](https://forum.effectivealtruism.org/posts/CaCWfjGHdw7H4o6XL/notes-on-the-hot-mess-theory-of-ai-misalignment)\n\n- [Artificial superintelligence and its limits: why AlphaZero cannot become a general agent](https://link.springer.com/article/10.1007/s00146-020-01070-3) ( Karim Jebari, Joakim Lundborg ); see [this response](https://www.alignmentforum.org/posts/rokpjK3jcy5aKKwiT/reply-to-jebari-and-lundborg-on-artificial-superintelligence-1)\n\n- [Existential risk from artificial general intelligence: Skepticism](https://en.wikipedia.org/wiki/Existential_risk_from_artificial_general_intelligence#Skepticism) ( Wikipedia )\n\n- [Reframing Superintelligence: Comprehensive AI Services as General Intelligence](https://www.fhi.ox.ac.uk/reframing/) ( K Eric Drexler^ )\n\n- [We Aren't Close To Creating A Rapidly Self-Improving AI](https://jacobbuckman.substack.com/p/we-arent-close-to-creating-a-rapidly) ( Jacob Buckman )\n\n- [AI Risk, Again](https://www.overcomingbias.com/p/ai-risk-again) + [I Still Don't Get Foom](https://www.overcomingbias.com/p/30855html) + [How Does Brain Code Differ?](https://www.overcomingbias.com/p/how-does-brain-code-differhtml) ( Robin Hanson^ )\n\n- [What Are Reasonable AI Fears?](https://quillette.com/2023/04/14/what-are-reasonable-ai-fears/) ( Robin Hanson^ ); see [this response](https://forum.effectivealtruism.org/posts/XnnfPC2gsgRFZezkE/linkpost-what-are-reasonable-ai-fears-by-robin-hanson-2023?commentId=b7upK9it4S7uBrkkC)\n\n- [Agency Failure AI Apocalypse?](https://www.overcomingbias.com/p/agency-failure-ai-apocalypsehtml) ( Robin Hanson^ ); see [this response](https://www.lesswrong.com/posts/Z5ZBPEgufmDsm7LAv/what-can-the-principal-agent-literature-tell-us-about-ai)\n\n- “I Object!” section of [Extinction Risk from Artificial Intelligence](https://aisafety.wordpress.com/) ( Michael Cohen* )\n\n- [Blake Richards on Why he is Skeptical of Existential Risk from AI](https://forum.effectivealtruism.org/posts/BqokXcCQrvkk2BktH/blake-richards-on-why-he-is-skeptical-of-existential-risk) on [The Inside View](https://theinsideview.ai/blake) (Blake Richards, Michaël Trazzi* )\n\n- [Gary Marcus and Stuart Russell discuss AI risk on the Sam Harris podcast](https://www.samharris.org/podcasts/making-sense-episodes/312-the-trouble-with-ai) ( Gary Marcus, Sam Harris )\n\n- [Alignment By Default](https://www.alignmentforum.org/posts/Nwgdq6kHke5LY692J/alignment-by-default) ( John Wentworth* )\n\n- [Melanie Mitchell and Stuart Russell debate](https://munkdebates.com/podcast/the-rise-of-thinking-machines) for Munk Debates ( Melanie Mitchell, Stuart Russell* )\n\n- [Why AI is Harder Than We Think](https://forum.effectivealtruism.org/posts/C94JhsbSfZ8iPNedy/why-ai-is-harder-than-we-think-melanie-mitchell) ( Melanie Mitchell ); see [Richard Ngo's comment](https://forum.effectivealtruism.org/posts/C94JhsbSfZ8iPNedy/why-ai-is-harder-than-we-think-melanie-mitchell?commentId=mkNwocFphweG8hHrE)\n\n- [A shift in arguments for AI risk](https://fragile-credences.github.io/prioritising-ai/) ( Tom Adamczewski )\n\n- [How to navigate the AI apocalypse as a sane person](https://erikhoel.substack.com/p/how-to-navigate-the-ai-apocalypse) ( Eric Hoel )\n\n- [Debate on Instrumental Convergence between LeCun, Russell, Bengio, Zador, and More](https://www.alignmentforum.org/posts/WxW6Gc6f2z3mzmqKs/debate-on-instrumental-convergence-between-lecun-russell) ( Yann LeCun, Stuart Russell*, Yoshua Bengio, Tony Zador, and more )\n\n- [Why I Am Not (As Much Of) A Doomer (As Some People)](https://astralcodexten.substack.com/p/why-i-am-not-as-much-of-a-doomer) ( Scott Alexander^ )\n\n- [My Bet: AI Solves Flubs](https://astralcodexten.substack.com/p/my-bet-ai-size-solves-flubs) ( Scott Alexander^ )\n\n- [AI Researchers On AI Risk](https://slatestarcodex.com/2015/05/22/ai-researchers-on-ai-risk/) ( Scott Alexander^ )\n\n- [Contra Acemoglu On...Oh God, We're Doing This Again, Aren't We?](https://astralcodexten.substack.com/p/contra-acemoglu-onoh-god-were-doing) + [highlights from the comments](https://astralcodexten.substack.com/p/highlights-from-the-comments-on-acemoglu) ( Scott Alexander^ responding to Daron Acemoglu )\n\n- [Maybe The Real Superintelligent AI Is Extremely Smart Computers](https://slatestarcodex.com/2018/01/15/maybe-the-real-superintelligent-ai-is-extremely-smart-computers/) ( Scott Alexander^ responding to Ted Chiang )\n\n- [10 Reasons to Ignore AI safety](https://www.youtube.com/watch?v=9i1WlcCudpU) ( Rob Miles* )\n\n- [A Response to Steven Pinker on AI](https://www.youtube.com/watch?v=yQE9KAbFhNY) ( Rob Miles* )\n\n- [How much EA analysis of AI safety as a cause area exists?](https://forum.effectivealtruism.org/posts/u3ePLsbtpkmFdD7Nb/how-much-ea-analysis-of-ai-safety-as-a-cause-area-exists-1) ( Richard Ngo* )\n\n- [Heretical Thoughts on AI | Eli Dourado](https://forum.effectivealtruism.org/posts/9XGhNArGhiZ3daQws/heretical-thoughts-on-ai-or-eli-dourado) ( Cinera^ )\n\n- [Some abstract, non-technical reasons to be non-maximally-pessimistic about AI alignment](https://www.alignmentforum.org/posts/vT4tsttHgYJBoKi4n/some-abstract-non-technical-reasons-to-be-non-maximally) ( Rob Bensinger* )\n\n- [Can a Paperclip Maximizer Overthrow the CCP?](https://richardhanania.substack.com/p/can-a-paperclip-maximizer-overthrow) + [Pinker on Alignment and Intelligence as a "Magical Potion"](https://richardhanania.substack.com/p/pinker-on-alignment-and-intelligence) ( Richard Hanania )\n\n- [Superintelligence: The Idea That Eats Smart People](https://idlewords.com/talks/superintelligence.htm) + [video](https://www.youtube.com/watch?v=kErHiET5YPw) ( Maciej Ceglowski )\n\n- [How I failed to form views on AI safety](https://forum.effectivealtruism.org/posts/ST3JjsLdTBnaK46BD/how-i-failed-to-form-views-on-ai-safety-3) ( Ada-Maaria Hyvärinen^ )\n\n- [There are no coherence theorems](https://www.alignmentforum.org/posts/yCuzmCsE86BTu9PfA/there-are-no-coherence-theorems) ( Elliott Thornley* )\n\n- [The Singularity is not coming](https://fchollet.com/blog/the-singularity-is-not-coming.html), [On the Measure of Intelligence](https://arxiv.org/abs/1911.01547), [The implausibility of intelligence explosion](https://medium.com/@francois.chollet/the-impossibility-of-intelligence-explosion-5be4a9eda6ec) ( François Chollet ); see [Eliezer Yudkowsky’s reply to the last piece](https://intelligence.org/2017/12/06/chollet/)\n\n- ["Bad AI DontKillEveryoneism Takes"](https://thezvi.substack.com/p/ai-3#%C2%A7bad-ai-dontkilleveryoneism-takes) section of [AI #3](https://thezvi.substack.com/p/ai-3) ( Zvi Mowshowitz* )\n\n- [Some abstract, non-technical reasons to be non-maximally-pessimistic about AI alignment](https://www.alignmentforum.org/posts/vT4tsttHgYJBoKi4n/some-abstract-non-technical-reasons-to-be-non-maximally) ( Rob Bensinger* )\n\n- [The Preference Fulfillment Hypothesis](https://www.alignmentforum.org/posts/Kf6sKZudduhJmykTg/the-preference-fulfillment-hypothesis) ( Kaj Sotala^ )\n\n- [How Organisms Come to Know the World: Fundamental Limits on Artificial General Intelligence](https://www.frontiersin.org/articles/10.3389/fevo.2021.806283/full) ( Andrea Roli, Johannes Jaeger, Stuart Kauffman )\n\n- [Don’t Worry about Superintelligence](https://jetpress.org/v26.1/agar.htm) ( Nicholas Agar )\n\n- [Where I'm at with AI risk: convinced of danger but not (yet) of doom](https://forum.effectivealtruism.org/posts/fXkCcsyF8M6dp6sXx/where-i-m-at-with-ai-risk-convinced-of-danger-but-not-yet-of) ( Amber Dawn^ )\n\n- [How Much Should You Freak out About AI?](https://fakenous.substack.com/p/how-much-should-you-freak-out-about) ( Michael Huemer )\n\n- [Reasons you might think human-level AI is unlikely to happen soon](https://forum.effectivealtruism.org/posts/kJzPDbgmA8nrLqTgH/asya-bergal-reasons-you-might-think-human-level-ai-is) ( Asya Bergal* )\n\n- [Existential risk, AI, and the inevitable turn in human history](https://marginalrevolution.com/marginalrevolution/2023/03/existential-risk-and-the-turn-in-human-history.html) ( Tyler Cowen ); see [this response from Scott Alexander](https://astralcodexten.substack.com/p/mr-tries-the-safe-uncertainty-fallacy) and the comments on it from Tyler and Scott + [this response from Zvi Mowshowitz](https://thezvi.substack.com/p/response-to-tyler-cowens-existential) + [this response from Leopold Aschenbrenner](https://www.forourposterity.com/response-to-tyler-cowen-on-ai-risk/))\n\n- [Don’t Fear the Terminator](https://blogs.scientificamerican.com/observations/dont-fear-the-terminator/) ( Yann LeCun, Anthony Zador )\n\n- [Is Human Intelligence Simple? Part 3: Disambiguating Types of Simplicity](https://sarahconstantin.substack.com/p/is-human-intelligence-simple-part-75c) ( Sarah Constantin^ )\n\n- [More AI debate between me and Steven Pinker!](https://scottaaronson.blog/?p=6593) + [Steven Pinker and I debate AI scaling!](https://scottaaronson.blog/?p=6524) + [Reform AI Alignment](https://scottaaronson.blog/?p=6821) ( Scott Aaronson^ )\n\n- [The Prospect of an AI Winter](https://forum.effectivealtruism.org/posts/i7aKatsck7x3aLoiH/the-prospect-of-an-ai-winter) ( Erich Grunewald )\n\n- [Alan Chan discussing alignment with Tim Scarfe of Machine Learning Street Talk](https://www.youtube.com/watch?v=XBMnOsv9_pk) ( Alan Chan*, Tim Scarfe )\n\n- [Against AI Doomerism, For AI Progress](https://maxmore.substack.com/p/against-ai-doomerism-for-ai-progress) ( Max More )\n\n- [What are some objections to the importance of AI alignment](https://aisafety.info?state=7794_)? ( Søren Elverlin* )\n\n- [But Have They Engaged with the Arguments?](https://philiptrammell.com/blog/46) ( Philip Trammell^ )\n\n- [On The Impossibility of AI Alignment](https://lacker.io/ai/2023/04/03/on-the-impossibility-of-ai-alignment.html) ( Kevin Lacker )\n\n- [How to know if artificial intelligence is about to destroy civilization](https://www.technologyreview.com/2020/02/25/906083/artificial-intelligence-destroy-civilization-canaries-robot-overlords-take-over-world-ai/) ( Oren Etzioni ); see [this summary](https://forum.effectivealtruism.org/posts/7x2BokkkemjnXD9B6/new-article-from-oren-etzioni)\n\n- [The AI Messiah](https://forum.effectivealtruism.org/posts/r72wjMns9wyaAhWhc/the-ai-messiah) ( ryancbriggs^ )\n\n- [How good is humanity at coordination?](https://www.lesswrong.com/posts/y3jDSoTTdBD9Nj3Gx/how-good-is-humanity-at-coordination) ( Buck Shlegeris* )\n\n- [The Orthogonality Thesis is Not Obviously True](https://forum.effectivealtruism.org/posts/e2dK25iWou3irqFss/the-orthogonality-thesis-is-not-obviously-true) ( Omnizoid^ )\n\n- [Bad alignment take bingo with replies](https://twitter.com/robbensinger/status/1503220020175769602) ( Rob Bensinger* ); see the card [“with some 2023 additions”](https://twitter.com/carad0/status/1632427388230422529); note these bingo cards are mostly designed to be funny rather than truth-seeking, although they do contain some core ideas of various arguments\n\n- [Memes that caricature some common counterarguments](https://twitter.com/AISafetyMemes/status/1647308848506744833) ( AI Notkilleveryoneism Memes^ ); note that these memes lack nuance and can be seriously misleading\n\n- [High-level hopes for AI alignment](https://www.cold-takes.com/high-level-hopes-for-ai-alignment/) ( Holden Karnofsky* )\n\n- [Response to e/acc arguments](https://twitter.com/DanHendrycks/status/1651740865159901184) ( Dan Hendrycks* )\n\n- [The 'Wild' and 'Wacky' Claims of Karnofsky’s ‘Most Important Century’](https://forum.effectivealtruism.org/posts/TCsanzwKGqfBBTye9/the-wild-and-wacky-claims-of-karnofsky-s-most-important) ( Spencer Becker-Kahn* )\n\n- ["Diamondoid bacteria" nanobots: deadly threat or dead-end? A nanotech investigation](https://www.lesswrong.com/posts/bc8Ssx5ys6zqu3eq9/diamondoid-bacteria-nanobots-deadly-threat-or-dead-end-a) + [When do "brains beat brawn" in Chess? An experiment](https://www.lesswrong.com/posts/odtMt7zbMuuyavaZB/when-do-brains-beat-brawn-in-chess-an-experiment) + [Could a superintelligence deduce general relativity from a falling apple? An investigation](https://www.lesswrong.com/posts/ALsuxpdqeTXwgEJeZ/could-a-superintelligence-deduce-general-relativity-from-a) ( titotal^ )\n\n- [The 'Don't Look Up' Thinking That Could Doom Us With AI](https://time.com/6273743/thinking-that-could-doom-us-with-ai/) ( Max Tegmark* )\n\n- [Why do some AI researchers dismiss the potential risks to humanity?](https://www.newscientist.com/article/2369626-why-do-some-ai-researchers-dismiss-the-potential-risks-to-humanity/) ( David Krueger* )\n\n- [The “General Problem Solver” Does Not Exist: Mortimer Taube and the Art of AI Criticism](https://www.shunryugarvey.com/wp-content/uploads/2021/03/Garvey_2021_The-General-Problem-Solver-Does-Not-Exist-1.pdf) ( Shunryu Colin Garvey )\n\n- [Unsavory medicine for technological civilization: Introducing ‘Artificial Intelligence & its Discontents’](https://www.shunryugarvey.com/wp-content/uploads/2021/03/YISR_I_46_1-2_TEXT_P-1.pdf) ( Shunryu Colin Garvey )\n\n- [Is Superintelligence Impossible?](https://www.edge.org/conversation/john_brockman-is-superintelligence-impossible) ( Daniel Dennett and David Chalmers )\n\n- [“Literally every conversation I have on Twitter about long-term risk leaves me more worried than when I started.”](https://twitter.com/GaryMarcus/status/1657420851556519936) ( Gary Marcus )\n\n- [Steelman arguments against the idea that AGI is inevitable and will arrive soon](https://www.lesswrong.com/posts/3kijTbgfizDgSgst3/steelman-arguments-against-the-idea-that-agi-is-inevitable) ( RomanS^ )\n\n## Other collections\n\n- ["Alternate Perspectives" in STS 10SI: Intro to AI Alignment](https://docs.google.com/document/d/1NX0DlZRzD3NP7tBeLjMh76w7-w2s8SxV3wj0P7EYpKY/edit#heading=h.3bexxn1cvdu) ( Stanford AI Alignment )\n\n- [Object-level AI risk skepticism](https://www.lesswrong.com/tag/object-level-ai-risk-skepticim) tag ( LessWrong )\n\n- [“AI Success Models”](https://www.lesswrong.com/tag/ai-success-models?sortedBy=top) tag ( LessWrong )\n\n- [A contra AI FOOM reading list](https://magnusvinding.com/2017/12/16/a-contra-ai-foom-reading-list/) ( Magnus Vinding^ )\n\n- [Richard Ngo Critiques Collection](https://docs.google.com/document/d/1zGxvxccxNap4KL70iqHiOBw8voB38Bhp-Z5WpvPQm-w/edit) ( Richard Ngo* )\n\n- [AI Alignment 2018-19 Review](https://www.alignmentforum.org/posts/dKxX76SCfCvceJXHv/ai-alignment-2018-19-review#Arguments_against_AI_risk) ( Rohin Shah* )\n\n- [Has anyone written a case against AI x-risk where it is clear they understand the case *for* x-risk superbly well](https://twitter.com/michael_nielsen/status/1658622154093764610) ( Michael Nielsen )\n\n- [Who are some prominent reasonable people who are confident that AI won't kill everyone?](https://www.lesswrong.com/posts/rCZ9fruWriD6uGNLp/who-are-some-prominent-reasonable-people-who-are-confident) ( LessWrong )\n\n- [Future Fund Worldview Prize](https://forum.effectivealtruism.org/topics/future-fund-worldview-prize) tag ( EA Forum )\n\n- [Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/) ( Open Philanthropy )\n\n- [AI skepticism](https://forum.effectivealtruism.org/topics/ai-skepticism) tag ( EA Forum )\n\n```" } }, { @@ -45053,7 +45053,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What are obfuscated arguments in AI Safety via Debate?", + "name": "What are obfuscated arguments in AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", "tableId": "grid-sync-1059-File", "rowId": "i-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", @@ -47933,7 +47933,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -48812,7 +48812,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```This list is largely focused on projects within [AI policy](https://80000hours.org/career-reviews/ai-policy-and-strategy/) rather than other career paths like [AI safety technical research](https://80000hours.org/career-reviews/ai-safety-researcher/). See [here](/?state=85E0&question=What%20are%20some%20exercises%20and%20projects%20I%20can%20try%3F) for projects focused on technical research (there is some overlap).\n\n- [[Public] Some AI Governance Research Ideas](https://docs.google.com/document/d/13LJhP3ksrcEBKxYFG5GkJaC2UoxHKUYAHCRdRlpePEc/edit) (from GovAI)\n\n- [Project page from AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/ai-governance-tabs/week-8) and their **[Open List of Project Ideas](https://docs.google.com/spreadsheets/d/1Co45Bd_rOc2JZ3jqK7kw1tMptcI0J66Y_8khK4u30_w/edit?usp=sharing)**\n\n- **[2023 Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/)**\n\n- **[AI Safety Ideas](https://aisafetyideas.com/)** by Apart Research; [EAF post](https://forum.effectivealtruism.org/posts/DTTADonxnDRoksp4E/ai-safety-ideas-an-open-ai-safety-research-platform)\n\n- [Most Important Century writing prize](https://forum.effectivealtruism.org/posts/4XK5zkyv94voC8Fjr/announcing-the-most-important-century-writing-prize) ([Superlinear page](https://www.super-linear.org/prize?recordId=recmsHjuOh5JmVJWJ))\n\n- [Center for AI Safety](https://safe.ai/)\n\n - **[Competitions](https://safe.ai/competitions)** like [SafeBench](https://benchmarking.mlsafety.org/) (see [example ideas](https://benchmarking.mlsafety.org/ideas))\n\n - **[Student ML Safety Research Stipend Opportunity](https://www.mlsafety.org/safety-scholarship)** – provides stipends for doing ML research.\n\n - [course.mlsafety.org projects](https://docs.google.com/document/d/12nj9a1WOJSHaddks3vmmjVKtlHmO53zEW4KHYyapUxY/edit) — CAIS is looking for someone to add details about these projects on [course.mlsafety.org](https://course.mlsafety.org/)\n\n- **[Distilling / summarizing / synthesizing / reviewing / explaining](https://www.lesswrong.com/posts/zo9zKcz47JxDErFzQ/call-for-distillers)**\n\n- **[Forming your own views on AI safety (without stress!)](https://www.youtube.com/watch?v=edoQ3CiNa_s)** – also see [Neel Nanda's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" document\n\n- ["Mostly focused on AI"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#Mostly_focused_on_AI) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- [Possible ways to expand on "Discovering Latent Knowledge in Language Models Without Supervision"](https://www.lesswrong.com/posts/bFwigCDMC5ishLz7X/rfc-possible-ways-to-expand-on-discovering-latent-knowledge)\n\n- Answer some of the [application questions](https://docs.google.com/document/d/1J0jRKfWrNUakiIBbbpw7q3i27Rw9XCLSJvW6659NhRU/edit#) from the winter 2022 [SERI-MATS](https://www.serimats.org/) application process, such as [Vivek Hebbar's problems](https://docs.google.com/document/d/1NVVtdsfz7HiseVFSk3jYly4sPG4dG03wFFDrD8rBXU0/edit)\n\n- [10 exercises from Akash](https://forum.effectivealtruism.org/posts/BBS8cz4Sa7wvJ2Jso/resources-that-i-think-new-alignment-researchers-should-know#Exercises) in “Resources that (I think) new alignment researchers should know about”\n\n- [[T] Deception Demo Brainstorm](https://docs.google.com/document/d/1HLnd7IGyX7ByrnBUZQH6fbneox2jwZ7LRGQw-esc-uU/edit) has some ideas (message [Thomas Larsen](https://www.lesswrong.com/users/thomas-larsen) if these seem interesting)\n\n- Upcoming [2023 Open Philanthropy AI Worldviews Contest](https://forum.effectivealtruism.org/posts/3kaojgsu6qy2n8TdC/pre-announcing-the-2023-open-philanthropy-ai-worldviews)\n\n- [Alignment research at ALTER](https://forum.effectivealtruism.org/posts/zCYGbYAaXeq7v67Km/prize-and-fast-track-to-alignment-research-at-alter) – interesting research problems, many have a theoretical mathematics flavor\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://forum.effectivealtruism.org/s/8EqNwueP6iw2BQpNo/p/hNPCo4kScxccK9Ham)\n\n- Steven Byrnes: [[Intro to brain-like-AGI safety] 15. Conclusion: Open problems, how to help, AMA](https://www.lesswrong.com/posts/tj8AC3vhTnBywdZoA/intro-to-brain-like-agi-safety-15-conclusion-open-problems-1)\n\n- Evan Hubinger: [Concrete experiments in inner alignment](https://www.lesswrong.com/posts/uSdPa9nrSgmXCtdKN/concrete-experiments-in-inner-alignment), [ideas someone should investigate further](https://www.alignmentforum.org/posts/HE3Styo9vpk7m8zi4/evhub-s-shortform?commentId=cPPvFFLLkMuh9k5Zx), [sticky goals](https://www.lesswrong.com/posts/a2Bxq4g2sPZwKiQmK/sticky-goals-a-concrete-experiment-for-understanding)\n\n- Richard Ngo: [Some conceptual alignment research projects](https://www.lesswrong.com/posts/27AWRKbKyXuzQoaSk/some-conceptual-alignment-research-projects), [alignment research exercises](https://www.lesswrong.com/posts/kj37Hzb2MsALwLqWt/alignment-research-exercises)\n\n- Buck Shlegeris: [Some fun ML engineering projects that I would think are cool](https://docs.google.com/document/d/1yMP9i6cQQwHG1ITOtccUkuN3p9eTk1AtzOM8TP-mZVs/edit), [The case for becoming a black box investigator of language models](https://www.alignmentforum.org/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language)\n\n- Implement a [key paper](https://spinningup.openai.com/en/latest/spinningup/keypapers.html) in deep reinforcement learning\n\n- [Amplify creative grants](https://forum.effectivealtruism.org/posts/pLiEoTuwEYRxNueoD/announcing-amplify-creative-grants) (old)\n\n- “Paper replication resources” section in “[How to pursue a career in technical alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment)”\n\n- [ELK](https://www.alignmentforum.org/tag/eliciting-latent-knowledge-elk) – How can we train a model to report its latent knowledge of off-screen events?\n\n- [Daniel Filan idea](https://www.lesswrong.com/posts/WgMhovN7Gs6Jpn3PH/danielfilan-s-shortform-feed?commentId=aEbnazFXn6GFym8kv) – studying competent misgeneralization without reference to a goal\n\n- Summarize a reading from [Reading What We Can](https://readingwhatwecan.com/)\n\n- Zac Hatfield-Dodds: “The list I wrote up for 2021 final-year-undergrad projects is at [https://zhd.dev/phd/student-ideas.html](https://zhd.dev/phd/student-ideas.html) - note that these are aimed at software engineering rather than ML, NLP, or AI Safety per se (most of those ideas I have stay at Anthropic, and are probably infeasible for student projects).” These projects are good for [AI safety engineering careers](https://www.alignmentforum.org/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers).\n\n```" + "Rich Text": "```This list is largely focused on projects within [AI policy](https://80000hours.org/career-reviews/ai-policy-and-strategy/) rather than other career paths like [AI safety technical research](https://80000hours.org/career-reviews/ai-safety-researcher/). See [here](/?state=85E0&question=What%20are%20some%20exercises%20and%20projects%20I%20can%20try%3F) for projects focused on technical research (there is some overlap).\n\n- [[Public] Some AI Governance Research Ideas](https://docs.google.com/document/d/13LJhP3ksrcEBKxYFG5GkJaC2UoxHKUYAHCRdRlpePEc/edit) (from GovAI)\n\n- [Project page from AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/ai-governance-tabs/week-8) and their **[Open List of Project Ideas](https://docs.google.com/spreadsheets/d/1Co45Bd_rOc2JZ3jqK7kw1tMptcI0J66Y_8khK4u30_w/edit?usp=sharing)**\n\n- **[2023 Open Philanthropy AI Worldviews Contest](https://www.openphilanthropy.org/open-philanthropy-ai-worldviews-contest/)**\n\n- **[AI safety Ideas](https://aisafetyideas.com/)** by Apart Research; [EAF post](https://forum.effectivealtruism.org/posts/DTTADonxnDRoksp4E/ai-safety-ideas-an-open-ai-safety-research-platform)\n\n- [Most Important Century writing prize](https://forum.effectivealtruism.org/posts/4XK5zkyv94voC8Fjr/announcing-the-most-important-century-writing-prize) ([Superlinear page](https://www.super-linear.org/prize?recordId=recmsHjuOh5JmVJWJ))\n\n- [Center for AI safety](https://safe.ai/)\n\n - **[Competitions](https://safe.ai/competitions)** like [SafeBench](https://benchmarking.mlsafety.org/) (see [example ideas](https://benchmarking.mlsafety.org/ideas))\n\n - **[Student ML Safety Research Stipend Opportunity](https://www.mlsafety.org/safety-scholarship)** – provides stipends for doing ML research.\n\n - [course.mlsafety.org projects](https://docs.google.com/document/d/12nj9a1WOJSHaddks3vmmjVKtlHmO53zEW4KHYyapUxY/edit) — CAIS is looking for someone to add details about these projects on [course.mlsafety.org](https://course.mlsafety.org/)\n\n- **[Distilling / summarizing / synthesizing / reviewing / explaining](https://www.lesswrong.com/posts/zo9zKcz47JxDErFzQ/call-for-distillers)**\n\n- **[Forming your own views on AI safety (without stress!)](https://www.youtube.com/watch?v=edoQ3CiNa_s)** – also see [Neel Nanda's presentation slides](https://docs.google.com/presentation/d/1LMBfw2wUmGLEvRTi8019DX_uGdJTeGsHRPRa5S8UIWs/edit#slide=id.p) and "[Inside Views Resources](https://docs.google.com/document/d/1O3ci6Q0UZ8qeBpKs6lVxFGLWiH89fBtz-lLG2iN8YNc/edit#)" document\n\n- ["Mostly focused on AI"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions#Mostly_focused_on_AI) section of ["A central directory for open research questions"](https://forum.effectivealtruism.org/posts/MsNpJBzv5YhdfNHc9/a-central-directory-for-open-research-questions) – contains a list of links to projects, similar to this document\n\n- [Possible ways to expand on "Discovering Latent Knowledge in Language Models Without Supervision"](https://www.lesswrong.com/posts/bFwigCDMC5ishLz7X/rfc-possible-ways-to-expand-on-discovering-latent-knowledge)\n\n- Answer some of the [application questions](https://docs.google.com/document/d/1J0jRKfWrNUakiIBbbpw7q3i27Rw9XCLSJvW6659NhRU/edit#) from the winter 2022 [SERI-MATS](https://www.serimats.org/) application process, such as [Vivek Hebbar's problems](https://docs.google.com/document/d/1NVVtdsfz7HiseVFSk3jYly4sPG4dG03wFFDrD8rBXU0/edit)\n\n- [10 exercises from Akash](https://forum.effectivealtruism.org/posts/BBS8cz4Sa7wvJ2Jso/resources-that-i-think-new-alignment-researchers-should-know#Exercises) in “Resources that (I think) new alignment researchers should know about”\n\n- [[T] Deception Demo Brainstorm](https://docs.google.com/document/d/1HLnd7IGyX7ByrnBUZQH6fbneox2jwZ7LRGQw-esc-uU/edit) has some ideas (message [Thomas Larsen](https://www.lesswrong.com/users/thomas-larsen) if these seem interesting)\n\n- Upcoming [2023 Open Philanthropy AI Worldviews Contest](https://forum.effectivealtruism.org/posts/3kaojgsu6qy2n8TdC/pre-announcing-the-2023-open-philanthropy-ai-worldviews)\n\n- [Alignment research at ALTER](https://forum.effectivealtruism.org/posts/zCYGbYAaXeq7v67Km/prize-and-fast-track-to-alignment-research-at-alter) – interesting research problems, many have a theoretical mathematics flavor\n\n- [Open Problems in AI X-Risk [PAIS #5]](https://forum.effectivealtruism.org/s/8EqNwueP6iw2BQpNo/p/hNPCo4kScxccK9Ham)\n\n- Steven Byrnes: [[Intro to brain-like-AGI safety] 15. Conclusion: Open problems, how to help, AMA](https://www.lesswrong.com/posts/tj8AC3vhTnBywdZoA/intro-to-brain-like-agi-safety-15-conclusion-open-problems-1)\n\n- Evan Hubinger: [Concrete experiments in inner alignment](https://www.lesswrong.com/posts/uSdPa9nrSgmXCtdKN/concrete-experiments-in-inner-alignment), [ideas someone should investigate further](https://www.alignmentforum.org/posts/HE3Styo9vpk7m8zi4/evhub-s-shortform?commentId=cPPvFFLLkMuh9k5Zx), [sticky goals](https://www.lesswrong.com/posts/a2Bxq4g2sPZwKiQmK/sticky-goals-a-concrete-experiment-for-understanding)\n\n- Richard Ngo: [Some conceptual alignment research projects](https://www.lesswrong.com/posts/27AWRKbKyXuzQoaSk/some-conceptual-alignment-research-projects), [alignment research exercises](https://www.lesswrong.com/posts/kj37Hzb2MsALwLqWt/alignment-research-exercises)\n\n- Buck Shlegeris: [Some fun ML engineering projects that I would think are cool](https://docs.google.com/document/d/1yMP9i6cQQwHG1ITOtccUkuN3p9eTk1AtzOM8TP-mZVs/edit), [The case for becoming a black box investigator of language models](https://www.alignmentforum.org/posts/yGaw4NqRha8hgx5ny/the-case-for-becoming-a-black-box-investigator-of-language)\n\n- Implement a [key paper](https://spinningup.openai.com/en/latest/spinningup/keypapers.html) in deep reinforcement learning\n\n- [Amplify creative grants](https://forum.effectivealtruism.org/posts/pLiEoTuwEYRxNueoD/announcing-amplify-creative-grants) (old)\n\n- “Paper replication resources” section in “[How to pursue a career in technical alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment)”\n\n- [ELK](https://www.alignmentforum.org/tag/eliciting-latent-knowledge-elk) – How can we train a model to report its latent knowledge of off-screen events?\n\n- [Daniel Filan idea](https://www.lesswrong.com/posts/WgMhovN7Gs6Jpn3PH/danielfilan-s-shortform-feed?commentId=aEbnazFXn6GFym8kv) – studying competent misgeneralization without reference to a goal\n\n- Summarize a reading from [Reading What We Can](https://readingwhatwecan.com/)\n\n- Zac Hatfield-Dodds: “The list I wrote up for 2021 final-year-undergrad projects is at [https://zhd.dev/phd/student-ideas.html](https://zhd.dev/phd/student-ideas.html) - note that these are aimed at software engineering rather than ML, NLP, or AI safety per se (most of those ideas I have stay at Anthropic, and are probably infeasible for student projects).” These projects are good for [AI safety engineering careers](https://www.alignmentforum.org/posts/YDF7XhMThhNfHfim9/ai-safety-needs-great-engineers).\n\n```" } }, { @@ -50022,7 +50022,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Jobs in software engineering for AI alignment tend to be competitive, often drawing many applicants because so many people interested in AI alignment are software engineers. Some jobs in this space can be highly valuable toward reducing AI existential risk, but don’t be surprised if you find it hard to get one. Many openings are listed on the [80,000 Hours job board](https://jobs.80000hours.org/).\n\nTo develop relevant skills, try working in industry as a machine learning engineer (where this definitely doesn’t lead to capabilities advances), do courses like [fast.ai](http://fast.ai), or talk to people at conferences to learn more.\n\nTo succeed at getting hired, focus on demonstrating exceptional value to companies through skills and projects. It can pay off to focus on a specific company and learn the tools/stack it uses or build the kind of things that would have been useful to them in the recent past. Applying early lets you reapply later and can teach you a lot about the hiring process.\n\nThere are useful projects you can do in your free time. [Alignment Ecosystem Development](http://alignment.dev) calls can help you find hobby-style projects, or places where a software engineer could usefully volunteer.\n\nAlthough there’s more funding for AI alignment projects than there once was, [earning to give](/?state=8U2Y&question=I%E2%80%99m%20interested%20in%20providing%20significant%20financial%20support%20to%20AI%20alignment.%20How%20should%20I%20go%20about%20this%3F) can still be highly valuable, especially if you know of good unfunded people and projects in your personal network.\n\n[Training programs](https://www.lesswrong.com/posts/CNytdmT6xrWdexQgN/ai-alignment-research-engineer-accelerator-arena-call-for) for alignment-related software engineering are sometimes run.\n\nFor further advice, you could join an [AI Safety Quest navigation call](https://aisafety.quest/#calls), talk to [80,000 Hours](https://80000hours.org/speak-with-us/), or see the post [How to pursue a career in technical AI alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment).\n\n```" + "Rich Text": "```Jobs in software engineering for AI alignment tend to be competitive, often drawing many applicants because so many people interested in AI alignment are software engineers. Some jobs in this space can be highly valuable toward reducing AI existential risk, but don’t be surprised if you find it hard to get one. Many openings are listed on the [80,000 Hours job board](https://jobs.80000hours.org/).\n\nTo develop relevant skills, try working in industry as a machine learning engineer (where this definitely doesn’t lead to capabilities advances), do courses like [fast.ai](http://fast.ai), or talk to people at conferences to learn more.\n\nTo succeed at getting hired, focus on demonstrating exceptional value to companies through skills and projects. It can pay off to focus on a specific company and learn the tools/stack it uses or build the kind of things that would have been useful to them in the recent past. Applying early lets you reapply later and can teach you a lot about the hiring process.\n\nThere are useful projects you can do in your free time. [Alignment Ecosystem Development](http://alignment.dev) calls can help you find hobby-style projects, or places where a software engineer could usefully volunteer.\n\nAlthough there’s more funding for AI alignment projects than there once was, [earning to give](/?state=8U2Y&question=I%E2%80%99m%20interested%20in%20providing%20significant%20financial%20support%20to%20AI%20alignment.%20How%20should%20I%20go%20about%20this%3F) can still be highly valuable, especially if you know of good unfunded people and projects in your personal network.\n\n[Training programs](https://www.lesswrong.com/posts/CNytdmT6xrWdexQgN/ai-alignment-research-engineer-accelerator-arena-call-for) for alignment-related software engineering are sometimes run.\n\nFor further advice, you could join an [AI safety Quest navigation call](https://aisafety.quest/#calls), talk to [80,000 Hours](https://80000hours.org/speak-with-us/), or see the post [How to pursue a career in technical AI alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment).\n\n```" } }, { @@ -50232,7 +50232,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```First, check whether your research idea has already been discussed: use the semantic search on [AI Safety Ideas](https://aisafetyideas.com/), search on [AI Safety Papers](https://ai-safety-papers.quantifieduncertainty.org/), look in places like the [Alignment Forum](http://alignmentforum.org), and so on.\n\nIf your idea hasn’t been discussed, start getting some feedback on it: write it down and share it with some people you trust, or share it on the #feedback channel on the [AI Alignment Slack](https://bit.ly/3HiXUrv). It can be useful to find “accountability buddies”, or people researching similar topics, and to do feedback swaps in which you take time to understand each other’s research. Of course, not all feedback you’ll get will be accurate, so you’ll have to do your best to assess it on its merits.\n\nYou can also try exchanging ideas in real life, like at a [local hub](https://www.agisafetyfundamentals.com/local-groups), [EA Global](https://www.effectivealtruism.org/ea-global) event, or [AI safety camp](https://aisafety.camp/). If you can find a mentor (discussed more [here](/?state=8UMA&question=How%20can%20I%20do%20conceptual%2C%20mathematical%2C%20or%20philosophical%20work%20on%20AI%20alignment%3F)), that can also help you a lot.\n\nTo find and prevent ways in which your idea will fail, you can use techniques like red-teaming on yourself and [Murphyjitsu](https://www.alignmentforum.org/tag/murphyjitsu). To avoid getting stuck and spending a lot of time on a doomed project, deliberately seek out failure. The faster you find a way in which your key assumptions fail, the more effort you’ll save; if you drag it out and save the hard bits for last, you’ll have that much less time to spend on your next project. Of course, some research ideas succeed, and that’s even better.\n\nIf it still seems like it’s worth going ahead, there are [several places you can apply for funding](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\n```" + "Rich Text": "```First, check whether your research idea has already been discussed: use the semantic search on [AI safety Ideas](https://aisafetyideas.com/), search on [AI safety Papers](https://ai-safety-papers.quantifieduncertainty.org/), look in places like the [Alignment Forum](http://alignmentforum.org), and so on.\n\nIf your idea hasn’t been discussed, start getting some feedback on it: write it down and share it with some people you trust, or share it on the #feedback channel on the [AI Alignment Slack](https://bit.ly/3HiXUrv). It can be useful to find “accountability buddies”, or people researching similar topics, and to do feedback swaps in which you take time to understand each other’s research. Of course, not all feedback you’ll get will be accurate, so you’ll have to do your best to assess it on its merits.\n\nYou can also try exchanging ideas in real life, like at a [local hub](https://www.agisafetyfundamentals.com/local-groups), [EA Global](https://www.effectivealtruism.org/ea-global) event, or [AI safety camp](https://aisafety.camp/). If you can find a mentor (discussed more [here](/?state=8UMA&question=How%20can%20I%20do%20conceptual%2C%20mathematical%2C%20or%20philosophical%20work%20on%20AI%20alignment%3F)), that can also help you a lot.\n\nTo find and prevent ways in which your idea will fail, you can use techniques like red-teaming on yourself and [Murphyjitsu](https://www.alignmentforum.org/tag/murphyjitsu). To avoid getting stuck and spending a lot of time on a doomed project, deliberately seek out failure. The faster you find a way in which your key assumptions fail, the more effort you’ll save; if you drag it out and save the hard bits for last, you’ll have that much less time to spend on your next project. Of course, some research ideas succeed, and that’s even better.\n\nIf it still seems like it’s worth going ahead, there are [several places you can apply for funding](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\n```" } }, { @@ -50692,7 +50692,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Some ideas about AI risk field-building are collected in the [post announcing the AI Safety Field Building (AISFB) hub](https://forum.effectivealtruism.org/posts/ozm4SpiChfAAAGnw5/announcing-the-ai-safety-field-building-hub-a-new-effort-to) and [this comment](https://forum.effectivealtruism.org/posts/ozm4SpiChfAAAGnw5/announcing-the-ai-safety-field-building-hub-a-new-effort-to?commentId=us9KXy5f67ntTDDoK) (though AISFB has now ended). An example of field building work is Vael Gates’ [interviews with AI researchers](https://www.lesswrong.com/posts/LfHWhcfK92qh2nwku/transcripts-of-interviews-with-ai-researchers).\n\nTo do well at outreach, you’ll need to understand academia, or whatever group of experts you’re reaching out to. Ideally, you’d learn this as an academic yourself: the most efficient strategy might be joining academia and doing field building on the side. For example, more than one PhD student has gotten their supervisor interested in AI safety. However, you are advised to have this conversation before you start your PhD program; at minimum, check whether your supervisor is open to letting you work on AI-safety-motivated problems.\n\nFor more advice on talking to academics about AI safety, see [Lessons learned from talking to >100 academics about AI safety](https://www.lesswrong.com/posts/SqjQFhn5KTarfW8v7/lessons-learned-from-talking-to-greater-than-100-academics) by Marius Hobbhahn.\n\nMake sure that, in addition to learning how to communicate to these audiences and trying to build credibility with them, you develop a deep understanding of the alignment problem. That way, when people challenge your models, you can respond usefully instead of getting confused. It’s good to at least be able to answer the [commonly asked questions](http://aisafety.info).\n\n```" + "Rich Text": "```Some ideas about AI risk field-building are collected in the [post announcing the AI safety Field Building (AISFB) hub](https://forum.effectivealtruism.org/posts/ozm4SpiChfAAAGnw5/announcing-the-ai-safety-field-building-hub-a-new-effort-to) and [this comment](https://forum.effectivealtruism.org/posts/ozm4SpiChfAAAGnw5/announcing-the-ai-safety-field-building-hub-a-new-effort-to?commentId=us9KXy5f67ntTDDoK) (though AISFB has now ended). An example of field building work is Vael Gates’ [interviews with AI researchers](https://www.lesswrong.com/posts/LfHWhcfK92qh2nwku/transcripts-of-interviews-with-ai-researchers).\n\nTo do well at outreach, you’ll need to understand academia, or whatever group of experts you’re reaching out to. Ideally, you’d learn this as an academic yourself: the most efficient strategy might be joining academia and doing field building on the side. For example, more than one PhD student has gotten their supervisor interested in AI safety. However, you are advised to have this conversation before you start your PhD program; at minimum, check whether your supervisor is open to letting you work on AI-safety-motivated problems.\n\nFor more advice on talking to academics about AI safety, see [Lessons learned from talking to >100 academics about AI safety](https://www.lesswrong.com/posts/SqjQFhn5KTarfW8v7/lessons-learned-from-talking-to-greater-than-100-academics) by Marius Hobbhahn.\n\nMake sure that, in addition to learning how to communicate to these audiences and trying to build credibility with them, you develop a deep understanding of the alignment problem. That way, when people challenge your models, you can respond usefully instead of getting confused. It’s good to at least be able to answer the [commonly asked questions](http://aisafety.info).\n\n```" } }, { @@ -50912,7 +50912,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Maybe you’ve thought of a project that seems really valuable for someone to do, but nobody seems to be doing it; the AI safety community seems to be collectively [dropping the ball](https://www.lesswrong.com/posts/Zp6wG5eQFLGWwcG6j/focus-on-the-places-where-you-feel-shocked-everyone-s). It’s possible that you’ve missed something, and the project either isn’t valuable or is already being done. But it’s also possible that the project genuinely is really valuable. That means that, from an expected value perspective, looking into this sort of idea is usually a good bet.\n\nTo make progress, you could go to [Alignment Ecosystem Development](https://alignment.dev/) to get more people involved with your idea, start an [AI Safety Quest](https://aisafety.quest/) group for it, or find collaborators in some other way. It also helps to make yourself “discoverable”. For advice, you could talk to [AI Safety Support](https://www.aisafetysupport.org/). You could also visit [EA](https://www.effectivealtruism.org/) hubs or attend [EA Global](https://www.effectivealtruism.org/ea-global) to exchange ideas. Consider using [red-teaming](/?state=8FJZ&question=How%20is%20red%20teaming%20used%20in%20AI%20alignment%3F) or [murphyjitsu](https://www.lesswrong.com/posts/Htjbj8ystqc2zLtMX/murphyjitsu-an-inner-simulator-algorithm) to find the most likely ways your project could fail and avoid them. If you’re not sure the project is really something you want to do, try [goal factoring](https://www.lesswrong.com/posts/ZHWiCM4QmX8WwYajH/goal-factoring-1). If you *are* sure, you can [apply for funding](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F) for your project from philanthropists interested in promoting AI safety.\n\n```" + "Rich Text": "```Maybe you’ve thought of a project that seems really valuable for someone to do, but nobody seems to be doing it; the AI safety community seems to be collectively [dropping the ball](https://www.lesswrong.com/posts/Zp6wG5eQFLGWwcG6j/focus-on-the-places-where-you-feel-shocked-everyone-s). It’s possible that you’ve missed something, and the project either isn’t valuable or is already being done. But it’s also possible that the project genuinely is really valuable. That means that, from an expected value perspective, looking into this sort of idea is usually a good bet.\n\nTo make progress, you could go to [Alignment Ecosystem Development](https://alignment.dev/) to get more people involved with your idea, start an [AI safety Quest](https://aisafety.quest/) group for it, or find collaborators in some other way. It also helps to make yourself “discoverable”. For advice, you could talk to [AI safety Support](https://www.aisafetysupport.org/). You could also visit [EA](https://www.effectivealtruism.org/) hubs or attend [EA Global](https://www.effectivealtruism.org/ea-global) to exchange ideas. Consider using [red-teaming](/?state=8FJZ&question=How%20is%20red%20teaming%20used%20in%20AI%20alignment%3F) or [murphyjitsu](https://www.lesswrong.com/posts/Htjbj8ystqc2zLtMX/murphyjitsu-an-inner-simulator-algorithm) to find the most likely ways your project could fail and avoid them. If you’re not sure the project is really something you want to do, try [goal factoring](https://www.lesswrong.com/posts/ZHWiCM4QmX8WwYajH/goal-factoring-1). If you *are* sure, you can [apply for funding](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F) for your project from philanthropists interested in promoting AI safety.\n\n```" } }, { @@ -51512,7 +51512,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Trying to do hard things without stable foundations is asking for trouble, so if some areas of your life aren’t going so well, it’s probably best to direct what energy you have into getting those into better shape first. Attempting to make major life changes aimed at improving humanity’s long-term future while in a difficult place personally can be counterproductive (for example, it could lead to burnout or financial trouble).\n\nA great resource is the post [Mental Health and the Alignment Problem](https://www.lesswrong.com/posts/pLLeGA7aGaJpgCkof/mental-health-and-the-alignment-problem-a-compilation-of), which compiles many resources and links to advice.\n\nThe [Effective Altruism](https://www.effectivealtruism.org/) (EA) and AI safety communities have some other support resources.\n\nBooking a call with [AI Safety Quest](https://aisafety.quest/) is a good place to start. Their volunteers offer free calls for people who would like to contribute, and have a good deal of experience helping people navigate into contributions.\n\nSome **funding** sources are listed [here](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F). A body of work which could be valuable for attaining financial independence rapidly can be found on the [Early Retirement Extreme](http://earlyretirementextreme.com/) website.\n\nIf you need help **resolving psychological or motivational issues**, some helpful resources might be:\n\n- The [EA Mental Health Navigator](https://www.eamentalhealthnavigator.com/)\n\n- 80,000 Hours’ evidence-based advice on [how to be successful in any job](https://80000hours.org/career-guide/how-to-be-successful/)\n\n- [Effective Peer Support](https://www.rethinkwellbeing.org/eps)\n\nIf you’re struggling with **guilt around not working hard enough** on important things, consider reading the [Replacing Guilt series](http://mindingourway.com/guilt/) by MIRI director Nate Soares.\n\nIf you **need help with something not listed here**, please [ask the people](https://discord.gg/vjFSCDyMCy) who are developing this website for advice and we’ll work to improve this answer.\n\nWhile you’re working on whichever area of your life needs attention, it’s probably good to keep learning about the AI alignment field to prepare you for contributing in the future. Exploring the questions on this site is a great way to find resources, so take a look around.\n\n```" + "Rich Text": "```Trying to do hard things without stable foundations is asking for trouble, so if some areas of your life aren’t going so well, it’s probably best to direct what energy you have into getting those into better shape first. Attempting to make major life changes aimed at improving humanity’s long-term future while in a difficult place personally can be counterproductive (for example, it could lead to burnout or financial trouble).\n\nA great resource is the post [Mental Health and the Alignment Problem](https://www.lesswrong.com/posts/pLLeGA7aGaJpgCkof/mental-health-and-the-alignment-problem-a-compilation-of), which compiles many resources and links to advice.\n\nThe [Effective Altruism](https://www.effectivealtruism.org/) (EA) and AI safety communities have some other support resources.\n\nBooking a call with [AI safety Quest](https://aisafety.quest/) is a good place to start. Their volunteers offer free calls for people who would like to contribute, and have a good deal of experience helping people navigate into contributions.\n\nSome **funding** sources are listed [here](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F). A body of work which could be valuable for attaining financial independence rapidly can be found on the [Early Retirement Extreme](http://earlyretirementextreme.com/) website.\n\nIf you need help **resolving psychological or motivational issues**, some helpful resources might be:\n\n- The [EA Mental Health Navigator](https://www.eamentalhealthnavigator.com/)\n\n- 80,000 Hours’ evidence-based advice on [how to be successful in any job](https://80000hours.org/career-guide/how-to-be-successful/)\n\n- [Effective Peer Support](https://www.rethinkwellbeing.org/eps)\n\nIf you’re struggling with **guilt around not working hard enough** on important things, consider reading the [Replacing Guilt series](http://mindingourway.com/guilt/) by MIRI director Nate Soares.\n\nIf you **need help with something not listed here**, please [ask the people](https://discord.gg/vjFSCDyMCy) who are developing this website for advice and we’ll work to improve this answer.\n\nWhile you’re working on whichever area of your life needs attention, it’s probably good to keep learning about the AI alignment field to prepare you for contributing in the future. Exploring the questions on this site is a great way to find resources, so take a look around.\n\n```" } }, { @@ -51912,7 +51912,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```## General advice\n\nThere isn’t a standard career path in this area. AI alignment is a pre-paradigmatic field in which nobody has a good idea what the right prerequisite knowledge is or what an answer looks like. That means this is a path for people who are willing to wrestle with uncertainty.\n\nFinancially supporting your research can be hard; funding isn’t a reliably solved problem, but [opportunities for funding do exist](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\nRather than thinking of your goal as trying to “become a researcher”, it might be better to think of it as trying to solve the alignment problem. You can get started by reading and thinking about the problem, maybe commenting on posts, and writing down your own ideas in private docs or on [LessWrong](http://lesswrong.com). Don’t necessarily rely on getting feedback without actively reaching out to people who might have good thoughts. It will help you to [find peers to be in contact with](/?state=91XJ&question=I%E2%80%99d%20like%20to%20get%20involved%20with%20the%20AI%20alignment%20community.%20Where%20can%20I%20find%20them%3F).\n\nOne way to get into conceptual work is by writing distillations of other people’s work, or critiquing key posts in places like [LessWrong](https://lesswrong.com) (which includes everything that has been posted on the [Alignment Forum](https://www.alignmentforum.org/)). It’s important to [develop your own “inside view” on the problem](/?state=7640&question=How%20and%20why%20should%20I%20form%20my%20own%20views%20about%20AI%20safety%3F).\n\nConsider asking around your personal network for an alignment research mentor, or a collaborator who knows the literature and can give you pointers and feedback. This is unlikely to work with leading alignment researchers, who already get a lot of requests for mentorship, but may be more likely to succeed with people you locally know who can teach you generic research skills. It depends a lot on the person. If you can get a mentor, that’s great, but you don’t need one to succeed, so don’t get blocked on it: almost everything you can get from a mentor, you can also get from a mix of learning by doing and having discussions with and getting feedback from peers. It will take you a bit longer and you’ll probably hit a few more dead ends without a mentor to guide you, but you can do it.\n\n## Training programs\n\nConsider training programs (e.g. [SERI-MATS](https://www.serimats.org/)) and internships. [AI Safety Training](https://aisafety.training/) has an overview of these. [AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/) runs courses on AI alignment and governance. The [80,000 Hours AI safety syllabus](https://80000hours.org/articles/ai-safety-syllabus/) lists a lot of reading material. For more suggestions, look at [Linda Linsefors’s collection of do-it-yourself training programs](https://docs.google.com/document/d/1t3Qb8PKyKRTMxZJNt4QEVYKul-WSfwAGOs5JYGNVuiM/edit).\n\nIf you’re applying to a program, choose whichever one you think you will most enjoy. The important thing is to start learning the field and to get some contacts. You’ll end up learning different things in different programs, but you won’t be locked into that path. You’re free to continue exploring whatever direction you want and to apply to other programs in the future, and you’ll have a much easier time navigating the space when you have some context and some connections.\n\n## Guides and resources\n\nSome helpful guides:\n\n- MIRI has a [field guide for doing alignment research](https://www.alignmentforum.org/posts/PqMT9zGrNsGJNfiFR/alignment-research-field-guide), especially in the context of a research group like [MIRIx](https://intelligence.org/mirix/).\n\n- [How to pursue a career in technical AI alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#How_to_pursue_theoretical_alignment_work) by CharlieRS has a section with advice on how to get into theoretical AI alignment work.\n\n- Rohin Shah has an [FAQ on AI alignment career advice](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/).\n\n- John Wentworth has a [post on getting into independent alignment research](https://www.alignmentforum.org/posts/P3Yt66Wh5g7SbkKuT/how-to-get-into-independent-research-on-alignment-agency).\n\n- There is also Adam Gleave's [Careers in Beneficial AI Research](https://docs.google.com/document/d/1RFo7_9JVmt0z8RPwUjB-mUMgCMoUQmsaj2CM5aHvxCw/edit) document.\n\n- Richard Ngo has posted on [AGI safety career advice](https://www.lesswrong.com/posts/ho63vCb2MNFijinzY/agi-safety-career-advice).\n\nOther resources:\n\n- [80,000 Hours](https://80000hours.org/speak-with-us/) offers calls where they give career advice. AI Safety Quest also provides advice in [navigation calls](https://aisafety.quest/#calls).\n\n- [AI Safety Support](https://www.aisafetysupport.org/) has a lot of other good resources: their [links page](https://www.aisafetysupport.org/resources/lots-of-links), [Slack](https://bit.ly/3HiXUrv), and [newsletter](https://www.aisafetysupport.org/newsletter).\n\n- See [AI Safety Ideas](https://aisafetyideas.com/) for research ideas.\n\n```" + "Rich Text": "```## General advice\n\nThere isn’t a standard career path in this area. AI alignment is a pre-paradigmatic field in which nobody has a good idea what the right prerequisite knowledge is or what an answer looks like. That means this is a path for people who are willing to wrestle with uncertainty.\n\nFinancially supporting your research can be hard; funding isn’t a reliably solved problem, but [opportunities for funding do exist](/?state=6703&question=I%20want%20to%20work%20on%20AI%20alignment.%20How%20can%20I%20get%20funding%3F).\n\nRather than thinking of your goal as trying to “become a researcher”, it might be better to think of it as trying to solve the alignment problem. You can get started by reading and thinking about the problem, maybe commenting on posts, and writing down your own ideas in private docs or on [LessWrong](http://lesswrong.com). Don’t necessarily rely on getting feedback without actively reaching out to people who might have good thoughts. It will help you to [find peers to be in contact with](/?state=91XJ&question=I%E2%80%99d%20like%20to%20get%20involved%20with%20the%20AI%20alignment%20community.%20Where%20can%20I%20find%20them%3F).\n\nOne way to get into conceptual work is by writing distillations of other people’s work, or critiquing key posts in places like [LessWrong](https://lesswrong.com) (which includes everything that has been posted on the [Alignment Forum](https://www.alignmentforum.org/)). It’s important to [develop your own “inside view” on the problem](/?state=7640&question=How%20and%20why%20should%20I%20form%20my%20own%20views%20about%20AI%20safety%3F).\n\nConsider asking around your personal network for an alignment research mentor, or a collaborator who knows the literature and can give you pointers and feedback. This is unlikely to work with leading alignment researchers, who already get a lot of requests for mentorship, but may be more likely to succeed with people you locally know who can teach you generic research skills. It depends a lot on the person. If you can get a mentor, that’s great, but you don’t need one to succeed, so don’t get blocked on it: almost everything you can get from a mentor, you can also get from a mix of learning by doing and having discussions with and getting feedback from peers. It will take you a bit longer and you’ll probably hit a few more dead ends without a mentor to guide you, but you can do it.\n\n## Training programs\n\nConsider training programs (e.g. [SERI-MATS](https://www.serimats.org/)) and internships. [AI safety Training](https://aisafety.training/) has an overview of these. [AGI Safety Fundamentals](https://www.agisafetyfundamentals.com/) runs courses on AI alignment and governance. The [80,000 Hours AI safety syllabus](https://80000hours.org/articles/ai-safety-syllabus/) lists a lot of reading material. For more suggestions, look at [Linda Linsefors’s collection of do-it-yourself training programs](https://docs.google.com/document/d/1t3Qb8PKyKRTMxZJNt4QEVYKul-WSfwAGOs5JYGNVuiM/edit).\n\nIf you’re applying to a program, choose whichever one you think you will most enjoy. The important thing is to start learning the field and to get some contacts. You’ll end up learning different things in different programs, but you won’t be locked into that path. You’re free to continue exploring whatever direction you want and to apply to other programs in the future, and you’ll have a much easier time navigating the space when you have some context and some connections.\n\n## Guides and resources\n\nSome helpful guides:\n\n- MIRI has a [field guide for doing alignment research](https://www.alignmentforum.org/posts/PqMT9zGrNsGJNfiFR/alignment-research-field-guide), especially in the context of a research group like [MIRIx](https://intelligence.org/mirix/).\n\n- [How to pursue a career in technical AI alignment](https://forum.effectivealtruism.org/posts/7WXPkpqKGKewAymJf/how-to-pursue-a-career-in-technical-ai-alignment#How_to_pursue_theoretical_alignment_work) by CharlieRS has a section with advice on how to get into theoretical AI alignment work.\n\n- Rohin Shah has an [FAQ on AI alignment career advice](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/).\n\n- John Wentworth has a [post on getting into independent alignment research](https://www.alignmentforum.org/posts/P3Yt66Wh5g7SbkKuT/how-to-get-into-independent-research-on-alignment-agency).\n\n- There is also Adam Gleave's [Careers in Beneficial AI Research](https://docs.google.com/document/d/1RFo7_9JVmt0z8RPwUjB-mUMgCMoUQmsaj2CM5aHvxCw/edit) document.\n\n- Richard Ngo has posted on [AGI safety career advice](https://www.lesswrong.com/posts/ho63vCb2MNFijinzY/agi-safety-career-advice).\n\nOther resources:\n\n- [80,000 Hours](https://80000hours.org/speak-with-us/) offers calls where they give career advice. AI safety Quest also provides advice in [navigation calls](https://aisafety.quest/#calls).\n\n- [AI safety Support](https://www.aisafetysupport.org/) has a lot of other good resources: their [links page](https://www.aisafetysupport.org/resources/lots-of-links), [Slack](https://bit.ly/3HiXUrv), and [newsletter](https://www.aisafetysupport.org/newsletter).\n\n- See [AI safety Ideas](https://aisafetyideas.com/) for research ideas.\n\n```" } }, { @@ -52312,7 +52312,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```Some resources that might help you think about this are:\n\n- The [Effective Thesis](https://effectivethesis.org/) page on [human-aligned artificial intelligence](https://effectivethesis.org/thesis-topics/human-aligned-ai/)\n\n- AI Safety Support's page on [graduate studies](https://www.aisafetysupport.org/resources/graduate-studies) (they also offer [career coaching](https://www.aisafetysupport.org/resources/career-coaching))\n\n- The [AI Safety Ideas](https://aisafetyideas.com/) website\n\nOne approach would be to identify a specific open problem that interests you and try to contribute to a solution. For instance:\n\n- If you’re interested in interpretability, see [200 Concrete Open Problems in Mechanistic Interpretability](https://www.alignmentforum.org/s/yivyHaCAmMJ3CqSyj) on the Alignment Forum\n\n- [Open Problems in AI X-Risk](https://www.alignmentforum.org/posts/5HtDzRAk7ePWsiL2L/open-problems-in-ai-x-risk-pais-5) (2022) presents potential research ideas on a range of topics\n\n- [This blog post](https://www.lesswrong.com/posts/DqF9c8J9LXeFFo42a/ai-safety-field-building-projects-i-d-like-to-see) contains many ideas about field-building projects\n\nFor a broad overview of the field as a whole, you could explore the [Map of AI Existential Safety](https://aisafety.world/).\n\n```" + "Rich Text": "```Some resources that might help you think about this are:\n\n- The [Effective Thesis](https://effectivethesis.org/) page on [human-aligned artificial intelligence](https://effectivethesis.org/thesis-topics/human-aligned-ai/)\n\n- AI safety Support's page on [graduate studies](https://www.aisafetysupport.org/resources/graduate-studies) (they also offer [career coaching](https://www.aisafetysupport.org/resources/career-coaching))\n\n- The [AI safety Ideas](https://aisafetyideas.com/) website\n\nOne approach would be to identify a specific open problem that interests you and try to contribute to a solution. For instance:\n\n- If you’re interested in interpretability, see [200 Concrete Open Problems in Mechanistic Interpretability](https://www.alignmentforum.org/s/yivyHaCAmMJ3CqSyj) on the Alignment Forum\n\n- [Open Problems in AI X-Risk](https://www.alignmentforum.org/posts/5HtDzRAk7ePWsiL2L/open-problems-in-ai-x-risk-pais-5) (2022) presents potential research ideas on a range of topics\n\n- [This blog post](https://www.lesswrong.com/posts/DqF9c8J9LXeFFo42a/ai-safety-field-building-projects-i-d-like-to-see) contains many ideas about field-building projects\n\nFor a broad overview of the field as a whole, you could explore the [Map of AI Existential Safety](https://aisafety.world/).\n\n```" } }, { @@ -52422,7 +52422,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -53392,7 +53392,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -53822,7 +53822,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```\n\n[Pascal’s mugging](https://nickbostrom.com/papers/pascal.pdf) gets its name from [Pascal's wager](https://en.wikipedia.org/wiki/Pascal%27s_wager), a classic philosophical argument that one should believe in God regardless of how likely it is that God exists, because the rewards for believing, if God *does* turn out to exist, are infinite. The mugging can be seen as a finite version of the wager and aims to show that an unbounded [expected utility (EU) maximizer](https://arbital.com/p/expected_utility_agent/) is vulnerable to manipulation by a “Pascal’s mugger” who promises enormous rewards in exchange for e.g. a wallet. It may be very unlikely that the mugger will deliver, but our [formalisms for calculating probabilities](https://arbital.greaterwrong.com/p/solomonoff_induction/) say the utility of the rewards can go up faster than their probability goes down—promising 10^100 times as much utility makes the offer less credible, but not 10^100 times less credible. That means the mugger’s offer seems worthwhile to the EU maximizer, despite being silly from a common sense perspective.\n\nSome claim that taking actions to reduce AI existential risk is like being mugged in this way, because the risks are unproven and somewhat speculative, but potentially enormous in scope, threatening not only the death of eight billion people in the present, but also "[astronomical waste](https://nickbostrom.com/astronomical/waste)", i.e. destroying all the value that could eventually be created using galaxies worth of resources.\n\nHowever, calling the arguments for reducing AI existential risk a Pascal’s mugging mischaracterizes them. They generally *don’t* say that we should ignore the improbability of disaster because the cost of disaster would be so high. Rather, they say that disaster is actually quite [plausible](/?state=6953&question=Do%20people%20seriously%20worry%20about%20existential%20risk%20from%20AI%3F), and maybe even [probable](/?state=7715&question=What%20is%20the%20probability%20of%20extinction%20from%20misaligned%20superintelligence%3F).[^kix.8xs5svnmh7dm] Humanity being wiped out by a new technology that is smarter than us and that we’re not sure how to control is not the kind of event we should be extremely surprised by (in the way that we'd be extremely surprised if a Pascal's mugger's claims turned out to be true).\n\n[^kix.8xs5svnmh7dm]: There might be a good reason X to think existential catastrophe from AI is extremely improbable. If so, then maybe a Pascalian argument would be the only way to justify caring. But if the importance of AI existential risk isn’t actually justified in Pascalian terms, it’s [unproductive](https://www.lesswrong.com/posts/srge9MCLHSiwzaX6r/logical-rudeness) to make Pascal’s wager or mugging the focus of criticism. Rather, the focus should be the reason X.```" + "Rich Text": "```\n\n[Pascal’s mugging](https://nickbostrom.com/papers/pascal.pdf) gets its name from [Pascal's wager](https://en.wikipedia.org/wiki/Pascal%27s_wager), a classic philosophical argument that one should believe in God regardless of how likely it is that God exists, because the rewards for believing, if God *does* turn out to exist, are infinite. The mugging can be seen as a finite version of the wager and aims to show that an unbounded [expected utility (EU) maximizer](https://arbital.com/p/expected_utility_agent/) is vulnerable to manipulation by a “Pascal’s mugger” who promises enormous rewards in exchange for e.g. a wallet. It may be very unlikely that the mugger will deliver, but our [formalisms for calculating probabilities](https://arbital.greaterwrong.com/p/solomonoff_induction/) say the utility of the rewards can go up faster than their probability goes down—promising 10^100 times as much utility makes the offer less credible, but not 10^100 times less credible. That means the mugger’s offer seems worthwhile to the EU maximizer, despite being silly from a common sense perspective.\n\nSome claim that taking actions to reduce AI existential risk is like being mugged in this way, because the risks are unproven and somewhat speculative, but potentially enormous in scope, threatening not only the death of eight billion people in the present, but also "[astronomical waste](https://nickbostrom.com/astronomical/waste)", i.e. destroying all the value that could eventually be created using galaxies worth of resources.\n\nHowever, calling the arguments for reducing AI existential risk a Pascal’s mugging mischaracterizes them. They generally *don’t* say that we should ignore the improbability of disaster because the cost of disaster would be so high. Rather, they say that disaster is actually quite [plausible](/?state=6953&question=Do%20people%20seriously%20worry%20about%20existential%20risk%20from%20AI%3F), and maybe even [probable](/?state=7715&question=What%20is%20the%20probability%20of%20extinction%20from%20misaligned%20superintelligence%3F).[^kix.8xs5svnmh7dm] Humanity being wiped out by a new technology that is smarter than us and that we’re not sure how to control is not the kind of event we should be extremely surprised by (in the way that we'd be extremely surprised if a Pascal's mugger's claims turned out to be true).\n\n[^kix.8xs5svnmh7dm]: There might be a good reason X to think existential catastrophe from AI is extremely improbable. If so, then maybe a Pascalian argument would be the only way to justify caring. But if the importance of AI existential risk isn’t actually justified in Pascalian terms, it’s [unproductive](https://www.lesswrong.com/posts/srge9MCLHSiwzaX6r/logical-rudeness) to make Pascal’s wager or mugging the focus of criticism. Rather, the focus should be the reason X.```" } }, { @@ -55496,13 +55496,13 @@ "id": "i-b15dcb14841cd0373fcfee5db17120acd141de508c2dcf67279739d338f3432e", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-b15dcb14841cd0373fcfee5db17120acd141de508c2dcf67279739d338f3432e", - "name": "AI Safety Memes Wiki", + "name": "AI safety Memes Wiki", "index": 1061, "createdAt": "2023-07-19T19:06:54.192Z", "updatedAt": "2023-09-04T19:54:42.938Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-b15dcb14841cd0373fcfee5db17120acd141de508c2dcf67279739d338f3432e", "values": { - "Edit Answer": "**[AI Safety Memes Wiki](https://docs.google.com/document/d/1MyZoBN2j-GeLYyDcHEmU74iOUxhZWER2C-qxDGkmLHE/edit?usp=drivesdk)**", + "Edit Answer": "**[AI safety Memes Wiki](https://docs.google.com/document/d/1MyZoBN2j-GeLYyDcHEmU74iOUxhZWER2C-qxDGkmLHE/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -55537,7 +55537,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```AI Safety Memes Wiki\n```", + "All Phrasings": "```AI safety Memes Wiki\n```", "UI ID": "```MEME```", "Link": { "@context": "http://schema.org/", @@ -57291,7 +57291,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```AI Safety Support [offers free calls](https://calendly.com/aiss) to advise people interested in a career in AI Safety, so that's a great place to start. We're working on creating a bunch of detailed information for this website to use, but in the meantime check out these resources:\n\n- [EA Cambridge AGI Safety Fundamentals curriculum](https://www.eacambridge.org/agi-safety-fundamentals)\n\n- [80,000 Hours AI safety syllabus](https://80000hours.org/articles/ai-safety-syllabus/)\n\n- [Adam Gleave's Careers in Beneficial AI Research document](https://docs.google.com/document/d/1RFo7_9JVmt0z8RPwUjB-mUMgCMoUQmsaj2CM5aHvxCw/edit)\n\n- [Rohin Shah's FAQ on career advice for AI alignment researchers](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/)\n\n- [AI Safety Support](https://www.aisafetysupport.org/) has lots of other good resources, such as their [links page](https://www.aisafetysupport.org/resources/lots-of-links), [slack](https://join.slack.com/t/ai-alignment/shared_invite/zt-fkgwbd2b-kK50z~BbVclOZMM9UP44gw), [newsletter](https://www.aisafetysupport.org/newsletter), and [events calendar](https://www.aisafetysupport.org/events/online-events-calendar).\n\n- [AISafety.training](http://AISafety.training)\n\n- [Safety-aligned research training programs (under construction).](https://docs.google.com/spreadsheets/d/1JyxrfFFrzaQsS3AQ4qJ2aOLGj1aSkBaxkpZCqBX9BOY/edit#gid=0)\n\n- Richard Ngo’s [AGI safety career advice](https://www.lesswrong.com/posts/ho63vCb2MNFijinzY/agi-safety-career-advice)\n\n```" + "Rich Text": "```AI safety Support [offers free calls](https://calendly.com/aiss) to advise people interested in a career in AI safety, so that's a great place to start. We're working on creating a bunch of detailed information for this website to use, but in the meantime check out these resources:\n\n- [EA Cambridge AGI Safety Fundamentals curriculum](https://www.eacambridge.org/agi-safety-fundamentals)\n\n- [80,000 Hours AI safety syllabus](https://80000hours.org/articles/ai-safety-syllabus/)\n\n- [Adam Gleave's Careers in Beneficial AI Research document](https://docs.google.com/document/d/1RFo7_9JVmt0z8RPwUjB-mUMgCMoUQmsaj2CM5aHvxCw/edit)\n\n- [Rohin Shah's FAQ on career advice for AI alignment researchers](https://rohinshah.com/faq-career-advice-for-ai-alignment-researchers/)\n\n- [AI safety Support](https://www.aisafetysupport.org/) has lots of other good resources, such as their [links page](https://www.aisafetysupport.org/resources/lots-of-links), [slack](https://join.slack.com/t/ai-alignment/shared_invite/zt-fkgwbd2b-kK50z~BbVclOZMM9UP44gw), [newsletter](https://www.aisafetysupport.org/newsletter), and [events calendar](https://www.aisafetysupport.org/events/online-events-calendar).\n\n- [AISafety.training](http://AISafety.training)\n\n- [Safety-aligned research training programs (under construction).](https://docs.google.com/spreadsheets/d/1JyxrfFFrzaQsS3AQ4qJ2aOLGj1aSkBaxkpZCqBX9BOY/edit#gid=0)\n\n- Richard Ngo’s [AGI safety career advice](https://www.lesswrong.com/posts/ho63vCb2MNFijinzY/agi-safety-career-advice)\n\n```" } }, { @@ -57549,7 +57549,7 @@ }, "Last Asked On Discord": "2023-03-08T10:02:02.357+01:00", "Alternate Phrasings": "", - "Rich Text": "```If someone posts something good on [the Discord](https://discord.gg/vjFSCDyMCy) - something that shows insight, knowledge of AI Safety, etc. - give the message or answer a stamp of approval! [Stampy](https://docs.google.com/document/d/1kn9Wp8dxxRxUEXPMxsJnlBHhEHRm45fNwlusst8mLyo/edit?usp=drivesdk) keeps track of these, and uses them to decide how much he likes each user. You can ask Stampy (in a PM if you like), \"How many stamps am I worth?\", and he'll tell you.\n\nIf something is really very good, especially if it took a lot of work/effort, give it a gold stamp. These are worth 5 regular stamps!\n\nNote that stamps aren't just 'likes', so please don't give stamps to say \"me too\" or \"that's funny\" etc. They're meant to represent knowledge, understanding, good judgement, and contributing to the discord. You can use 💯 or ✔️ for things you agree with, 😂 or 🤣 for funny things etc.\n\nYour stamp points determine how much say you have if there are disagreements on Stampy content, which channels you have permission to post to, your voting power for approving YouTube replies, and whether you get to invite people.\n\nNotes on stamps and stamp points\n\n- Stamps awarded by people with a lot of stamp points are worth more\n\n- Awarding people stamps does not reduce your stamp points\n\n- New users who have 0 stamp points can still award stamps, they just have no effect. But it's still worth doing because if you get stamp points later, all your previous votes are retroactively updated!\n\n- Yes, this was kind of tricky to implement! Stampy actually stores how many stamps each user has awarded to every other user, and uses that to build a system of linear scalar equations which is then solved with numpy.\n\n- Each user has stamp points, and also gives a score to every other user they give stamps to the scores sum to 1 so if I give user A a stamp, my score for them will be 1.0, if I then give user B a stamp, my score for A is 0.5 and B is 0.5, if I give another to B, my score for A goes to 0.3333 and B to 0.66666 and so on\n\n- Score is \"what proportion of the stamps I've given have gone to this user\"\n\n- Everyone's stamp points is the sum of (every other user's score for them, times that user's stamp points) so the way to get points is to get stamps from people who have points\n\n- Rob is the root of the tree, he got one point from Stampy\n\n- So the idea is the stamp power kind of flows through the network, giving people points for posting things that I thought were good, or posting things that \"people who posted things I thought were good\" thought were good, and so on ad infinitum so for posting YouTube comments, Stampy won't send the comment until it has enough stamps of approval. Which could be a small number of high-points users or a larger number of lower-points users\n\n- Stamps given to yourself or to Stampy do nothing\n\nSo yeah everyone ends up with a number that basically represents what Stampy thinks of them, and you can ask him \"how many stamps am I worth?\" to get that number\n\nso if you have people a, b, and c, the points are calculated by: \\`\\`\\`\n\na_points = (bs_score_for_a * b_points) + (cs_score_for_a * c_points) b_points = (as_score_for_b * a_points) + (cs_score_for_b * c_points) c_points = (as_score_for_c * a_points) + (bs_score_for_c * b_points)\n\n\\`\\`\\` which is tough because you need to know everyone else's score before you can calculate your own but actually the system will have a fixed point - there'll be a certain arrangement of values such that every node has as much flowing out as flowing in - a stable configuration so you can rearrange \\`\\`\\`\n\n(bs_score_for_a * b_points) + (cs_score_for_a * c_points) - a_points = 0 (as_score_for_b * a_points) + (cs_score_for_b * c_points) - b_points = 0 (as_score_for_c * a_points) + (bs_score_for_c * b_points) - c_points = 0\n\n\\`\\`\\` or, for neatness: \\`\\`\\`\n\n( -1 * a_points) + (bs_score_for_a * b_points) + (cs_score_for_a * c_points) = 0 (as_score_for_b * a_points) + ( -1 * b_points) + (cs_score_for_b * c_points) = 0 (as_score_for_c * a_points) + (bs_score_for_c * b_points) + ( -1 * c_points) = 0\n\n\\`\\`\\`\n\nand this is just a system of linear scalar equations that you can throw at numpy.linalg.solve(you add one more equation that says rob_points = 1, so there's some place to start from) there should be one possible distribution of points such that all of the equations hold at the same time, and numpy finds that by linear algebra magic beyond my very limited understanding\n\nbut as far as I can tell you can have all the cycles you want!\n\n(I actually have the scores sum to slightly less than 1, to have the stamp power slightly fade out as it propagates, just to make sure it doesn't explode. But I don't think I actually need to do that)\n\nand yes this means that any time anyone gives a stamp to anyone, ~everyone's points will change slightly\n\nAnd yes this means I'm recalculating the matrix and re-solving it for every new stamp, but computers are fast and I'm sure there are cheaper approximations I could switch to later if necessary\n\n```" + "Rich Text": "```If someone posts something good on [the Discord](https://discord.gg/vjFSCDyMCy) - something that shows insight, knowledge of AI safety, etc. - give the message or answer a stamp of approval! [Stampy](https://docs.google.com/document/d/1kn9Wp8dxxRxUEXPMxsJnlBHhEHRm45fNwlusst8mLyo/edit?usp=drivesdk) keeps track of these, and uses them to decide how much he likes each user. You can ask Stampy (in a PM if you like), \"How many stamps am I worth?\", and he'll tell you.\n\nIf something is really very good, especially if it took a lot of work/effort, give it a gold stamp. These are worth 5 regular stamps!\n\nNote that stamps aren't just 'likes', so please don't give stamps to say \"me too\" or \"that's funny\" etc. They're meant to represent knowledge, understanding, good judgement, and contributing to the discord. You can use 💯 or ✔️ for things you agree with, 😂 or 🤣 for funny things etc.\n\nYour stamp points determine how much say you have if there are disagreements on Stampy content, which channels you have permission to post to, your voting power for approving YouTube replies, and whether you get to invite people.\n\nNotes on stamps and stamp points\n\n- Stamps awarded by people with a lot of stamp points are worth more\n\n- Awarding people stamps does not reduce your stamp points\n\n- New users who have 0 stamp points can still award stamps, they just have no effect. But it's still worth doing because if you get stamp points later, all your previous votes are retroactively updated!\n\n- Yes, this was kind of tricky to implement! Stampy actually stores how many stamps each user has awarded to every other user, and uses that to build a system of linear scalar equations which is then solved with numpy.\n\n- Each user has stamp points, and also gives a score to every other user they give stamps to the scores sum to 1 so if I give user A a stamp, my score for them will be 1.0, if I then give user B a stamp, my score for A is 0.5 and B is 0.5, if I give another to B, my score for A goes to 0.3333 and B to 0.66666 and so on\n\n- Score is \"what proportion of the stamps I've given have gone to this user\"\n\n- Everyone's stamp points is the sum of (every other user's score for them, times that user's stamp points) so the way to get points is to get stamps from people who have points\n\n- Rob is the root of the tree, he got one point from Stampy\n\n- So the idea is the stamp power kind of flows through the network, giving people points for posting things that I thought were good, or posting things that \"people who posted things I thought were good\" thought were good, and so on ad infinitum so for posting YouTube comments, Stampy won't send the comment until it has enough stamps of approval. Which could be a small number of high-points users or a larger number of lower-points users\n\n- Stamps given to yourself or to Stampy do nothing\n\nSo yeah everyone ends up with a number that basically represents what Stampy thinks of them, and you can ask him \"how many stamps am I worth?\" to get that number\n\nso if you have people a, b, and c, the points are calculated by: \\`\\`\\`\n\na_points = (bs_score_for_a * b_points) + (cs_score_for_a * c_points) b_points = (as_score_for_b * a_points) + (cs_score_for_b * c_points) c_points = (as_score_for_c * a_points) + (bs_score_for_c * b_points)\n\n\\`\\`\\` which is tough because you need to know everyone else's score before you can calculate your own but actually the system will have a fixed point - there'll be a certain arrangement of values such that every node has as much flowing out as flowing in - a stable configuration so you can rearrange \\`\\`\\`\n\n(bs_score_for_a * b_points) + (cs_score_for_a * c_points) - a_points = 0 (as_score_for_b * a_points) + (cs_score_for_b * c_points) - b_points = 0 (as_score_for_c * a_points) + (bs_score_for_c * b_points) - c_points = 0\n\n\\`\\`\\` or, for neatness: \\`\\`\\`\n\n( -1 * a_points) + (bs_score_for_a * b_points) + (cs_score_for_a * c_points) = 0 (as_score_for_b * a_points) + ( -1 * b_points) + (cs_score_for_b * c_points) = 0 (as_score_for_c * a_points) + (bs_score_for_c * b_points) + ( -1 * c_points) = 0\n\n\\`\\`\\`\n\nand this is just a system of linear scalar equations that you can throw at numpy.linalg.solve(you add one more equation that says rob_points = 1, so there's some place to start from) there should be one possible distribution of points such that all of the equations hold at the same time, and numpy finds that by linear algebra magic beyond my very limited understanding\n\nbut as far as I can tell you can have all the cycles you want!\n\n(I actually have the scores sum to slightly less than 1, to have the stamp power slightly fade out as it propagates, just to make sure it doesn't explode. But I don't think I actually need to do that)\n\nand yes this means that any time anyone gives a stamp to anyone, ~everyone's points will change slightly\n\nAnd yes this means I'm recalculating the matrix and re-solving it for every new stamp, but computers are fast and I'm sure there are cheaper approximations I could switch to later if necessary\n\n```" } }, { @@ -57881,13 +57881,13 @@ "id": "i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", - "name": "How can I contribute to Stampy's AI Safety Info?", + "name": "How can I contribute to Stampy's AI safety Info?", "index": 161, "createdAt": "2023-01-14T12:58:12.344Z", "updatedAt": "2023-05-07T23:07:18.040Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "values": { - "Edit Answer": "**[How can I contribute to Stampy's AI Safety Info?](https://docs.google.com/document/d/1-hbof62NCaoUki51NjlC1gISQ7P8pB6EK7UWwA89H9U/edit?usp=drivesdk)**", + "Edit Answer": "**[How can I contribute to Stampy's AI safety Info?](https://docs.google.com/document/d/1-hbof62NCaoUki51NjlC1gISQ7P8pB6EK7UWwA89H9U/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -57953,7 +57953,7 @@ ], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```How can I contribute to Stampy's AI Safety Info?\n```", + "All Phrasings": "```How can I contribute to Stampy's AI safety Info?\n```", "UI ID": "```6441```", "Link": { "@context": "http://schema.org/", @@ -58029,20 +58029,20 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```In order of smallest commitment to largest:\n\n1. Link your friends to [Stampy’s AI Safety Info](https://aisafety.info/) or [Rob's videos](https://www.youtube.com/@RobertMilesAI)\n\n1. Join existing [AI Safety communities](http://aisafety.community)\n\n1. Join or start a [local AI Safety group](https://www.agisafetyfundamentals.com/local-groups) at a university\n\n1. Get good at giving an elevator pitch\n\n1. Develop a deep understanding of AI Safety so you can become a competent advocate and have good conversations with people who are new or skeptical to the subject\n\n```" + "Rich Text": "```In order of smallest commitment to largest:\n\n1. Link your friends to [Stampy’s AI safety Info](https://aisafety.info/) or [Rob's videos](https://www.youtube.com/@RobertMilesAI)\n\n1. Join existing [AI safety communities](http://aisafety.community)\n\n1. Join or start a [local AI safety group](https://www.agisafetyfundamentals.com/local-groups) at a university\n\n1. Get good at giving an elevator pitch\n\n1. Develop a deep understanding of AI safety so you can become a competent advocate and have good conversations with people who are new or skeptical to the subject\n\n```" } }, { "id": "i-fa230610592ce5514923bf3416ba6a5dbc5d2d0f1ad128a97b0fdffe15298d76", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-fa230610592ce5514923bf3416ba6a5dbc5d2d0f1ad128a97b0fdffe15298d76", - "name": "How can I contact the Stampy's AI Safety Info team?", + "name": "How can I contact the Stampy's AI safety Info team?", "index": 163, "createdAt": "2023-01-14T12:58:12.344Z", "updatedAt": "2023-05-08T00:11:27.613Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-fa230610592ce5514923bf3416ba6a5dbc5d2d0f1ad128a97b0fdffe15298d76", "values": { - "Edit Answer": "**[How can I contact the Stampy's AI Safety Info team?](https://docs.google.com/document/d/1g8XZL4nVG51Az0eP4Ie4NQOWUcTsxAR2S8CcUXC3b3Q/edit?usp=drivesdk)**", + "Edit Answer": "**[How can I contact the Stampy's AI safety Info team?](https://docs.google.com/document/d/1g8XZL4nVG51Az0eP4Ie4NQOWUcTsxAR2S8CcUXC3b3Q/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -58088,7 +58088,7 @@ ], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```How can I contact the Stampy's AI Safety Info team?\n```", + "All Phrasings": "```How can I contact the Stampy's AI safety Info team?\n```", "UI ID": "```6511```", "Link": { "@context": "http://schema.org/", @@ -58231,7 +58231,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```There is the [Intro to ML Safety](https://course.mlsafety.org/) web course by the [Center for AI Safety](https://www.cais.ai/). It begins with a review of deep learning, and does an introduction to the research fields of robustness, interpretability, alignment, and systemic safety.\n\n```" + "Rich Text": "```There is the [Intro to ML Safety](https://course.mlsafety.org/) web course by the [Center for AI safety](https://www.cais.ai/). It begins with a review of deep learning, and does an introduction to the research fields of robustness, interpretability, alignment, and systemic safety.\n\n```" } }, { @@ -58483,7 +58483,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "How can I contribute to Stampy's AI Safety Info?", + "name": "How can I contribute to Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "tableId": "grid-sync-1059-File", "rowId": "i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", @@ -58781,13 +58781,13 @@ "id": "i-760bb2db80a638b5916ffa304c49cc914b982188aa08379fb8c8864492225c44", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-760bb2db80a638b5916ffa304c49cc914b982188aa08379fb8c8864492225c44", - "name": "Who created Stampy's AI Safety Info?", + "name": "Who created Stampy's AI safety Info?", "index": 270, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-05-07T22:57:07.367Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-760bb2db80a638b5916ffa304c49cc914b982188aa08379fb8c8864492225c44", "values": { - "Edit Answer": "**[Who created Stampy's AI Safety Info?](https://docs.google.com/document/d/1aXTwkh2Effb0s8XZNFrZr6QRB-vdhTzT8RZ3YPxTCas/edit?usp=drivesdk)**", + "Edit Answer": "**[Who created Stampy's AI safety Info?](https://docs.google.com/document/d/1aXTwkh2Effb0s8XZNFrZr6QRB-vdhTzT8RZ3YPxTCas/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -58822,7 +58822,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Who created Stampy's AI Safety Info?\n```", + "All Phrasings": "```Who created Stampy's AI safety Info?\n```", "UI ID": "```7553```", "Link": { "@context": "http://schema.org/", @@ -59161,7 +59161,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```The problem of autonomous weapons is not directly related to the AI Safety problem, but both fit into the "be careful what you do with AI" category.\n\nIn the short term, these would allow for worse totalitarianism as automated security forces will never rebel. This removes the moderating influence of human personnel as convincing machines to do a horrible thing is easier than convincing humans. Despots need security forces to remain in power. Human security forces betraying a despot is a common way that despots lose power, this would not happen with robots.\n\nAnother consideration is that[ ](https://xkcd.com/2030/)[computer security is hard](https://xkcd.com/2030/)! Autonomous weapons could be hacked, initially by humans but eventually by an AGI. This is not good for humanity's chances of surviving the transition to AGI, although access to autonomous weapons is probably not necessary for this transition to go poorly.\n\nSee also\n\n- [Stop Killer Robots](https://www.stopkillerrobots.org/).\n\n- [Military AI arms race in Dan Hendrycks' Catastrophic risks from AI](https://www.alignmentforum.org/posts/4sEK5mtDYWJo2gHJn/catastrophic-risks-from-ai-3-ai-race#3_1_Military_AI_Arms_Race)\n\n```" + "Rich Text": "```The problem of autonomous weapons is not directly related to the AI safety problem, but both fit into the "be careful what you do with AI" category.\n\nIn the short term, these would allow for worse totalitarianism as automated security forces will never rebel. This removes the moderating influence of human personnel as convincing machines to do a horrible thing is easier than convincing humans. Despots need security forces to remain in power. Human security forces betraying a despot is a common way that despots lose power, this would not happen with robots.\n\nAnother consideration is that[ ](https://xkcd.com/2030/)[computer security is hard](https://xkcd.com/2030/)! Autonomous weapons could be hacked, initially by humans but eventually by an AGI. This is not good for humanity's chances of surviving the transition to AGI, although access to autonomous weapons is probably not necessary for this transition to go poorly.\n\nSee also\n\n- [Stop Killer Robots](https://www.stopkillerrobots.org/).\n\n- [Military AI arms race in Dan Hendrycks' Catastrophic risks from AI](https://www.alignmentforum.org/posts/4sEK5mtDYWJo2gHJn/catastrophic-risks-from-ai-3-ai-race#3_1_Military_AI_Arms_Race)\n\n```" } }, { @@ -59286,20 +59286,20 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```As well as pulling human written answers to AI alignment questions from [Stampy's AI Safety](https://aisafety.info/) [Info](https://aisafety.info/), Stampy can:\n\n- Search for AI safety papers e.g. \"stampy, what's that paper about corrigibility?\"\n\n- Search for videos e.g. \"what's that video where Rob talks about mesa optimizers, stampy?\"\n\n- Calculate with Wolfram Alpha e.g. \"s, what's the square root of 345?\"\n\n- Search DuckDuckGo and return snippets\n\n- And (at least in the patron Discord) falls back to polling GPT-3 to answer uncaught questions\n\n```" + "Rich Text": "```As well as pulling human written answers to AI alignment questions from [Stampy's AI safety](https://aisafety.info/) [Info](https://aisafety.info/), Stampy can:\n\n- Search for AI safety papers e.g. \"stampy, what's that paper about corrigibility?\"\n\n- Search for videos e.g. \"what's that video where Rob talks about mesa optimizers, stampy?\"\n\n- Calculate with Wolfram Alpha e.g. \"s, what's the square root of 345?\"\n\n- Search DuckDuckGo and return snippets\n\n- And (at least in the patron Discord) falls back to polling GPT-3 to answer uncaught questions\n\n```" } }, { "id": "i-e6d4a3980df9e40e3b16b754d2422417f83327b5c6ca75217b12e4111cdc8df8", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-e6d4a3980df9e40e3b16b754d2422417f83327b5c6ca75217b12e4111cdc8df8", - "name": "What should be marked as a canonical answer on Stampy's AI Safety Info?", + "name": "What should be marked as a canonical answer on Stampy's AI safety Info?", "index": 297, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-05-07T22:44:10.469Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-e6d4a3980df9e40e3b16b754d2422417f83327b5c6ca75217b12e4111cdc8df8", "values": { - "Edit Answer": "**[What should be marked as a canonical answer on Stampy's AI Safety Info?](https://docs.google.com/document/d/1ArWzlraw7kCHhoiWje22j057xgW5wsV0PbaLpiy8KC0/edit?usp=drivesdk)**", + "Edit Answer": "**[What should be marked as a canonical answer on Stampy's AI safety Info?](https://docs.google.com/document/d/1ArWzlraw7kCHhoiWje22j057xgW5wsV0PbaLpiy8KC0/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -59334,7 +59334,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What should be marked as a canonical answer on Stampy's AI Safety Info?\n```", + "All Phrasings": "```What should be marked as a canonical answer on Stampy's AI safety Info?\n```", "UI ID": "```6432```", "Link": { "@context": "http://schema.org/", @@ -59438,13 +59438,13 @@ "id": "i-b7f0c074cbd9bcd5780812aba82beb0a96cbc6cf9325dd6c8cdafdf10e6b3705", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-b7f0c074cbd9bcd5780812aba82beb0a96cbc6cf9325dd6c8cdafdf10e6b3705", - "name": "What is a follow-up question on Stampy's AI Safety Info?", + "name": "What is a follow-up question on Stampy's AI safety Info?", "index": 329, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-05-07T22:30:30.817Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-b7f0c074cbd9bcd5780812aba82beb0a96cbc6cf9325dd6c8cdafdf10e6b3705", "values": { - "Edit Answer": "**[What is a follow-up question on Stampy's AI Safety Info?](https://docs.google.com/document/d/1Grt3_94Cp2Y3sOugzZ1QbXycBxnhxGfRjP5cBblf0Lg/edit?usp=drivesdk)**", + "Edit Answer": "**[What is a follow-up question on Stampy's AI safety Info?](https://docs.google.com/document/d/1Grt3_94Cp2Y3sOugzZ1QbXycBxnhxGfRjP5cBblf0Lg/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -59489,7 +59489,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What is a follow-up question on Stampy's AI Safety Info?\n```", + "All Phrasings": "```What is a follow-up question on Stampy's AI safety Info?\n```", "UI ID": "```6447```", "Link": { "@context": "http://schema.org/", @@ -60142,7 +60142,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "How can I contribute to Stampy's AI Safety Info?", + "name": "How can I contribute to Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", "tableId": "grid-sync-1059-File", "rowId": "i-30ee880b5856d9c3c502d1091ef4f434ae46e241ecdbfdee826a078955df786e", @@ -60160,7 +60160,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```It’s pretty dependent on what skills you have and what resources you have access to. The largest option is to pursue a [career in AI Safety research](https://80000hours.org/career-reviews/artificial-intelligence-risk-research/). Another large option is to pursue a career in [AI policy](https://80000hours.org/articles/ai-policy-guide/), which you might think is even more important than doing technical research.\n\nSmaller options include donating money to relevant organizations, talking about AI Safety as a plausible career path to other people or considering the problem in your spare time.\n\nIt’s possible that your particular set of skills/resources are not suited to this problem. Unluckily, there are [many more problems](https://concepts.effectivealtruism.org/concepts/existential-risks/) that are of similar levels of importance.\n\n```" + "Rich Text": "```It’s pretty dependent on what skills you have and what resources you have access to. The largest option is to pursue a [career in AI safety research](https://80000hours.org/career-reviews/artificial-intelligence-risk-research/). Another large option is to pursue a career in [AI policy](https://80000hours.org/articles/ai-policy-guide/), which you might think is even more important than doing technical research.\n\nSmaller options include donating money to relevant organizations, talking about AI safety as a plausible career path to other people or considering the problem in your spare time.\n\nIt’s possible that your particular set of skills/resources are not suited to this problem. Unluckily, there are [many more problems](https://concepts.effectivealtruism.org/concepts/existential-risks/) that are of similar levels of importance.\n\n```" } }, { @@ -61739,7 +61739,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```[obsolete, being merged into [I want to help out AI alignment without necessarily making major life changes. What are some simple things I can do to contribute?](https://docs.google.com/document/d/1mW-7XP86MPe-LUzoksetdCaHlefDEkBnR_kd20kwzlo/edit#) ]\n\nOK, it’s great that you want to help; here are some ideas for ways you could do so without making a huge commitment:\n\n- Learning more about AI alignment will provide you with good foundations for any path towards helping. You could start by absorbing content (e.g. books, videos, posts), and thinking about challenges or possible solutions. [Cambridge AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) (which contains both a technical and governance track) and [Intro to ML Safety](https://course.mlsafety.org/) (if you’d like something more empirical) are great options. More in the [follow-up question](https://docs.google.com/document/d/1hodUVVaV63i3G73F2hrJ79UVczAxBxOIEJKBZ78nssE/edit).\n\n- Getting involved with the movement by joining a local [Effective Altruism](https://forum.effectivealtruism.org/community) or [LessWrong](https://www.lesswrong.com/community) group, [Rob Miles’s Discord](https://discord.gg/vjFSCDyMCy), and/or the [AI Safety Slack](https://bit.ly/3HiXUrv) is a great way to find friends who are interested and will help you stay motivated. Attending an [EAGx conference](https://www.eaglobal.org/eagxhome/) is a good way to get you up to speed with networking, too. A full list of communities can be found at [aisafety.community](https://aisafety.community/).\n\n- Donating to organizations or individuals working on AI alignment, possibly via a [donor lottery](https://funds.effectivealtruism.org/donor-lottery) or the [Long Term Future Fund](https://funds.effectivealtruism.org/funds/far-future), can be a great way to provide support. You can join Grantmakers for AI Alignment or the microgrants program.\n\n- [Writing or editing content for Stampy’s AI Safety Info](https://coda.io/@alignmentdev/ai-safety-info/get-involved-26) so that other people can learn about AI alignment more easily is a great way to dip your toe into contributing. You can always ask on the [Discord](https://discord.gg/tPtDsbsEYc) for feedback on things you write.\n\n- Getting good at giving an AI alignment elevator pitch, and sharing it with people who may be valuable to have working on the problem, can make a big difference. However, if you can do so without watering down your claims, you should avoid putting people off the topic by presenting it in a way which causes them to dismiss it as sci-fi.\n\n- Writing thoughtful comments on [AI posts on LessWrong](https://www.lesswrong.com/tag/ai?sortedBy=magic).\n\n- After completing the [Cambridge AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) course yourself, you can join the next round as a facilitator for the discussion groups, both for the technical and governance track. In the early 2022 round, facilitators were offered a stipend, and this seems likely to be the case for future rounds as well! You can learn more about facilitating in [this post](https://forum.effectivealtruism.org/posts/WtwMy69JKZeHEvykc/contribute-by-facilitating-the-agi-safety-fundamentals) from December 2021.\n\n- Organize an in-person group AGI alignment study group at your university, for example following the [AGISF curriculum](https://www.agisafetyfundamentals.com/).\n\n```" + "Rich Text": "```[obsolete, being merged into [I want to help out AI alignment without necessarily making major life changes. What are some simple things I can do to contribute?](https://docs.google.com/document/d/1mW-7XP86MPe-LUzoksetdCaHlefDEkBnR_kd20kwzlo/edit#) ]\n\nOK, it’s great that you want to help; here are some ideas for ways you could do so without making a huge commitment:\n\n- Learning more about AI alignment will provide you with good foundations for any path towards helping. You could start by absorbing content (e.g. books, videos, posts), and thinking about challenges or possible solutions. [Cambridge AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) (which contains both a technical and governance track) and [Intro to ML Safety](https://course.mlsafety.org/) (if you’d like something more empirical) are great options. More in the [follow-up question](https://docs.google.com/document/d/1hodUVVaV63i3G73F2hrJ79UVczAxBxOIEJKBZ78nssE/edit).\n\n- Getting involved with the movement by joining a local [Effective Altruism](https://forum.effectivealtruism.org/community) or [LessWrong](https://www.lesswrong.com/community) group, [Rob Miles’s Discord](https://discord.gg/vjFSCDyMCy), and/or the [AI safety Slack](https://bit.ly/3HiXUrv) is a great way to find friends who are interested and will help you stay motivated. Attending an [EAGx conference](https://www.eaglobal.org/eagxhome/) is a good way to get you up to speed with networking, too. A full list of communities can be found at [aisafety.community](https://aisafety.community/).\n\n- Donating to organizations or individuals working on AI alignment, possibly via a [donor lottery](https://funds.effectivealtruism.org/donor-lottery) or the [Long Term Future Fund](https://funds.effectivealtruism.org/funds/far-future), can be a great way to provide support. You can join Grantmakers for AI Alignment or the microgrants program.\n\n- [Writing or editing content for Stampy’s AI safety Info](https://coda.io/@alignmentdev/ai-safety-info/get-involved-26) so that other people can learn about AI alignment more easily is a great way to dip your toe into contributing. You can always ask on the [Discord](https://discord.gg/tPtDsbsEYc) for feedback on things you write.\n\n- Getting good at giving an AI alignment elevator pitch, and sharing it with people who may be valuable to have working on the problem, can make a big difference. However, if you can do so without watering down your claims, you should avoid putting people off the topic by presenting it in a way which causes them to dismiss it as sci-fi.\n\n- Writing thoughtful comments on [AI posts on LessWrong](https://www.lesswrong.com/tag/ai?sortedBy=magic).\n\n- After completing the [Cambridge AGI Safety Fundamentals](https://www.eacambridge.org/agi-safety-fundamentals) course yourself, you can join the next round as a facilitator for the discussion groups, both for the technical and governance track. In the early 2022 round, facilitators were offered a stipend, and this seems likely to be the case for future rounds as well! You can learn more about facilitating in [this post](https://forum.effectivealtruism.org/posts/WtwMy69JKZeHEvykc/contribute-by-facilitating-the-agi-safety-fundamentals) from December 2021.\n\n- Organize an in-person group AGI alignment study group at your university, for example following the [AGISF curriculum](https://www.agisafetyfundamentals.com/).\n\n```" } }, { @@ -64771,13 +64771,13 @@ "id": "i-67bb92c3c09b667ecad95fa5f1f0dede510c862dc1d3da5917e05e180cd0da8e", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-67bb92c3c09b667ecad95fa5f1f0dede510c862dc1d3da5917e05e180cd0da8e", - "name": "What should be marked as a \"related\" question on Stampy's AI Safety Info?", + "name": "What should be marked as a \"related\" question on Stampy's AI safety Info?", "index": 298, "createdAt": "2023-01-14T14:46:14.123Z", "updatedAt": "2023-08-06T16:58:28.935Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-67bb92c3c09b667ecad95fa5f1f0dede510c862dc1d3da5917e05e180cd0da8e", "values": { - "Edit Answer": "**[What should be marked as a \"related\" question on Stampy's AI Safety Info?](https://docs.google.com/document/d/1DI3A2LzQLzBRp01vwWiBhv60oDql0klymZpvln3vc1E/edit?usp=drivesdk)**", + "Edit Answer": "**[What should be marked as a \"related\" question on Stampy's AI safety Info?](https://docs.google.com/document/d/1DI3A2LzQLzBRp01vwWiBhv60oDql0klymZpvln3vc1E/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -64812,7 +64812,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What should be marked as a \"related\" question on Stampy's AI Safety Info?\n```", + "All Phrasings": "```What should be marked as a \"related\" question on Stampy's AI safety Info?\n```", "UI ID": "```6445```", "Link": { "@context": "http://schema.org/", @@ -65474,13 +65474,13 @@ "id": "i-19434b821caacf0cf82ef8c4f5f687cd6f5a5a8225711f3c645e53bd61b0b90a", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-19434b821caacf0cf82ef8c4f5f687cd6f5a5a8225711f3c645e53bd61b0b90a", - "name": "What is the Center for AI Safety (CAIS)'s research agenda?", + "name": "What is the Center for AI safety (CAIS)'s research agenda?", "index": 421, "createdAt": "2023-01-26T16:50:33.129Z", "updatedAt": "2023-09-07T20:06:57.007Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-19434b821caacf0cf82ef8c4f5f687cd6f5a5a8225711f3c645e53bd61b0b90a", "values": { - "Edit Answer": "**[What is the Center for AI Safety (CAIS)'s research agenda?](https://docs.google.com/document/d/1Gio54w8LFCMpBZFLSF6JUBQhVN2Tds4UmBsaZPFdVJc/edit?usp=drivesdk)**", + "Edit Answer": "**[What is the Center for AI safety (CAIS)'s research agenda?](https://docs.google.com/document/d/1Gio54w8LFCMpBZFLSF6JUBQhVN2Tds4UmBsaZPFdVJc/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -65525,7 +65525,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What is the Center for AI Safety (CAIS)'s research agenda?\n```", + "All Phrasings": "```What is the Center for AI safety (CAIS)'s research agenda?\n```", "UI ID": "```85EG```", "Link": { "@context": "http://schema.org/", @@ -66976,13 +66976,13 @@ "id": "i-b585526234199b264916f69ae11da117c5faa007390c16e0f9732e7f0dfc91e9", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-b585526234199b264916f69ae11da117c5faa007390c16e0f9732e7f0dfc91e9", - "name": "Who contributed to Stampy’s AI Safety Info?", + "name": "Who contributed to Stampy’s AI safety Info?", "index": 535, "createdAt": "2023-02-22T21:08:58.516Z", "updatedAt": "2023-08-06T16:51:50.136Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-b585526234199b264916f69ae11da117c5faa007390c16e0f9732e7f0dfc91e9", "values": { - "Edit Answer": "**[Who contributed to Stampy’s AI Safety Info?](https://docs.google.com/document/d/1_yUCSxXm9h7N_tE_HKuVYvp78R5JClZBSIN0UZaV5Y4/edit?usp=drivesdk)**", + "Edit Answer": "**[Who contributed to Stampy’s AI safety Info?](https://docs.google.com/document/d/1_yUCSxXm9h7N_tE_HKuVYvp78R5JClZBSIN0UZaV5Y4/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -67006,7 +67006,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Who contributed to Stampy’s AI Safety Info?\n```", + "All Phrasings": "```Who contributed to Stampy’s AI safety Info?\n```", "UI ID": [ "```8C7L```" ], @@ -67518,7 +67518,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```We’re still working on this answer. Check back later, and in the mean time, see [AI Safety Support](https://www.aisafetysupport.org/) for advice.\n\n```" + "Rich Text": "```We’re still working on this answer. Check back later, and in the mean time, see [AI safety Support](https://www.aisafetysupport.org/) for advice.\n\n```" } }, { @@ -79101,13 +79101,13 @@ "id": "i-3d5935814edb99cac54a89804f8972f254b198292d4c9c9eda26264a8b5cc5fa", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-3d5935814edb99cac54a89804f8972f254b198292d4c9c9eda26264a8b5cc5fa", - "name": "What are some transparency tools that AI Safety researchers use?", + "name": "What are some transparency tools that AI safety researchers use?", "index": 979, "createdAt": "2023-07-08T12:08:02.451Z", "updatedAt": "2023-08-06T16:37:03.585Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-3d5935814edb99cac54a89804f8972f254b198292d4c9c9eda26264a8b5cc5fa", "values": { - "Edit Answer": "**[What are some transparency tools that AI Safety researchers use?](https://docs.google.com/document/d/1HWVqolhO7LIoWLEhQzawNQJI5gNo2xr-rMuS4DT5uvo/edit?usp=drivesdk)**", + "Edit Answer": "**[What are some transparency tools that AI safety researchers use?](https://docs.google.com/document/d/1HWVqolhO7LIoWLEhQzawNQJI5gNo2xr-rMuS4DT5uvo/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -79131,7 +79131,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```What are some transparency tools that AI Safety researchers use?\n```", + "All Phrasings": "```What are some transparency tools that AI safety researchers use?\n```", "UI ID": [ "```ACSD```" ], @@ -84772,13 +84772,13 @@ "id": "i-e94e540f5c5e09d1049f64d0750620e1d0d1bd6d4abdd3d3b6f5d9722ad53e4b", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-e94e540f5c5e09d1049f64d0750620e1d0d1bd6d4abdd3d3b6f5d9722ad53e4b", - "name": "Broad Vulnerability Categories For AI Safety Plans", + "name": "Broad Vulnerability Categories For AI safety Plans", "index": 1129, "createdAt": "2023-09-06T03:07:31.297Z", "updatedAt": "2023-10-03T17:07:34.697Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-e94e540f5c5e09d1049f64d0750620e1d0d1bd6d4abdd3d3b6f5d9722ad53e4b", "values": { - "Edit Answer": "**[Broad Vulnerability Categories For AI Safety Plans](https://docs.google.com/document/d/1tCMrvJEueePNgb2_nOEUMc_UGce7TxKdqI5rOJ1G7C0/edit?usp=drivesdk)**", + "Edit Answer": "**[Broad Vulnerability Categories For AI safety Plans](https://docs.google.com/document/d/1tCMrvJEueePNgb2_nOEUMc_UGce7TxKdqI5rOJ1G7C0/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -84802,7 +84802,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Broad Vulnerability Categories For AI Safety Plans\n```", + "All Phrasings": "```Broad Vulnerability Categories For AI safety Plans\n```", "UI ID": [ "```N8NC```" ], @@ -84813,7 +84813,7 @@ }, "Last Asked On Discord": "", "Alternate Phrasings": "", - "Rich Text": "```By: Seth Herd, Kabir Kumar, FractalCycle, Tori, Antithesis and others\nMade in the first 2 days of the [AI-Plans.com](https://ai-plans.com/) critique-a-thon \nJoin the current one here: [https://discord.gg/f37npYUm](https://discord.gg/f37npYUm) \n\n# Broad Vulnerability Categories for AI Safety Plans:\n\nThis is not a definitive, exhaustive list. It can and has been used as a starting point for more refined ideas.\n\nSee [https://docs.google.com/document/d/1mW4SAxFN_aI6KyYXpl9qz5B9nVdeV9Xyc69GTNme5cA/edit?usp=drivesdk](https://docs.google.com/document/d/1mW4SAxFN_aI6KyYXpl9qz5B9nVdeV9Xyc69GTNme5cA/edit?usp=drivesdk) for examples.\n\n1. **Impractical:** The plan’s implementation would be so challenging that an unsafe AGI might be developed in the meantime due to the delays and complexities.\n\n 1. **Requires Unavailable Resources**\n\n 1. Requires more researchers in a field than are available or that could be trained in enough time.\n\n 1. Takes too much time - in the time taken to enact the plan, an unsafe AGI will have been built\n\n 1. Takes too many economic resources\n\n 1. **Relies on perfect air-gapping**\n\n 1. **Disregards likely real-world scenarios.:**\n\n 1. **Non-agentic AI Fallacy:** Relies on making AI safe by making it non-agentic. Any useful non-agentic AI can quickly be transformed into an agentic AI.\n\n 1. **Unattainable Treaties:**Hopes for a flawless international agreement, ignoring historical precedents of treaty violations.\n\n1. **Limited scope:** Addresses part of the alignment problem but not all of it. This very broad category will apply to most plans, so having subcategories will be necessary. Below are proposed subcategories\n\n 1. **Partial solution**\n\n 1. This plan is intended to help with but not solve alignment\n\n 1. **Addresses outer alignment but not inner alignment**\n\n 1. Outer alignment is deciding what we want an AGI to do. \n The paper focuses on what we want AGI to do without considering how.\n\n 1. **Addresses inner alignment but not outer alignment**\n\n 1. Inner alignment is figuring out how to get an AGI to do any particular thing. \n The paper concentrates on how AGI should work without defining its goals.\n\n 1. **Unsolved technical problems**\n\n 1. Leaves a lot of the alignment work to an AI\n\n 1. Relies on an effectively flawless simulation\n\n 1. **Unsolved theoretical problems**\n\n 1. Heavily reliant on an untested and unvalidated theory being exactly correct\n\n 1. Heavily reliant on an untested and unvalidated *empirical fact* being exactly correct\n\n 1. e.g. paper says X is true and it gives people more options. However, X is not proven and if false, it gives *fewer* options.\n\n 1. **Doesn’t try to solve alignmen**t\n\n 1. Models AI Alignment or AI Safety but doesn’t try to solve it.\n\n 1. Not about alignment, only tangentially related to AI Safety or completely unrelated.\n\n 1. **Does not solve unintended side-effects**\n\n 1. Presupposes that AGI has modeled accurately and comprehensively how its effects can impact humans down the line.\n\n 1. Does not consider how untracked effects feed back into gradually larger changes in global conditions (e.g. chaotic or evolutionary dynamics).\n\n 1. **Violates a fundamental limit**\n\n 1. Presupposes a capacity to measure, model, evaluate, or actuate effects that falls outside of what is physically possible.\n\n 1. e.g. AGI could not locally detect nor correct most localized effects.\n\n 1. e.g. AGI could not fully simulate the behavior of a more complex future version of itself, because it is not that version.\n\n1. **Reliant on human ethics:**\n\n 1. **Assumes that human ethics solves the alignment problem**. An AGI that adopted the ethical standards of the average human might not be adequately aligned since humans can do very unethical things\n\n 1. **Cultural relativism**: Assumes a universal understanding of human ethics, but this can vary significantly by cultures, groups and people.\n\n 1. **The AI's goals are defined using terms that are too vague/broad.** Attempts to define human values, or an approximation of them, using abstract terms such as 'prosperity' and 'freedom' which are hard to quantify.\n If we attempt to use these as goals without having a robust way of quantifying them, the AI could misinterpret what we say, especially when it is too early in training to understand natural language.\n May result in an AI which is aiming for a crude approximation of what we want, which results in a misaligned AI.\n\n 1. **Multiple goals are proposed, but a way to balance them when they come into conflict is not specified.** An AI may sacrifice one of its goals to serve the others. An AI could also mix them in unexpected and unwanted ways.\n\n1. **Does not scale:**\n\n 1. **Does not scale to more intelligence**\n\n 1. Plan uses reinforcement learning and a proxy reward function to fulfill a goal during training, which works with the intelligence the model displays during training, however if the model’s intelligence increases, there will be a lot more options available, which will allow for the reward function to be met in unanticipated and unwanted ways.\n\n 1. **Does not scale to more data**\n\n 1. Plan uses reinforcement learning and a proxy reward function to fulfill a goal during training, which works with the data available during training, however in the real world, there will be a lot more data available and a lot more options, which will allow for the reward function to be met in unanticipated and unwanted ways. (often called **misgeneralization**)\n\n 1. **Does not scale to more complex tasks**\n\n 1. This plan works for simple or specific tasks but lacks a clear path for scaling to more complex or generalized tasks.\n\n 1. **Does not scale to agentic AGI**\n\n 1. The plan makes a strategy for making a non-agentic powerful AI, however an aligned non-agentic AI is not guaranteed to remain aligned once it becomes an agent.\n\n 1. **Does not scale to multipolarity**\n\n 1. The plan does not work if there exist multiple advanced AI, and does not provide a reason why there would not be or does not mention the possibility.\n\n1. **Vulnerable to misuse/subversion:**\n\n 1. **Data Tampering:** AGI can be misled during training by users.\n\n1. **Lack of transparency/interpretability:** Plan does not adequately address the need for the AGI's decision-making process to be transparent and interpretable by humans, which is critical for ensuring ongoing alignment and managing risks.\n\n1. **Poorly communicated/structures:**\n\n 1. Plan uses a lot of jargon/specialist language which makes it difficult to understand and enact.\n\n 1. Is unclear **what** problems it aims to solve.\n\n 1. Is unclear **how** it claims to solve any of the problems it claims to solve.\n\n 1. Is unclear **why** the problems it solves are relevant to AI Safety/Alignment/Security\n\n1. **Unethical**\n\n 1. E.g. requires creating potentially conscious entities for simulations.\n\n1. **Inherently Flawed**\n\n 1. **Unsound:**\n\n 1. **Technically Unsound:**\n\nExperimental results do not support the conclusion, or support it poorly, or they do not show what the authors argue, or the results are invalidated by a methodological error.\n\n 1. **Theoretically Unsound:**\n\nThere is an error in the demonstration or a critical flaw in the argumentation.\n\n1. **Negative externalities:**\n\n 1. Requires building improved detrimental tools (e.g. instantiate misaligned AI, adversarial attacks, etc.).\n\n 1. Can help build detrimental tools\n\n 1. Lower research threshold\n\n 1. Lower investment threshold\n\n 1. Can be used to further capabilities independently of their safety benefits.\n\n 1. Makes researchers or policymakers unjustifiably confident about safety.\n\n```" + "Rich Text": "```By: Seth Herd, Kabir Kumar, FractalCycle, Tori, Antithesis and others\nMade in the first 2 days of the [AI-Plans.com](https://ai-plans.com/) critique-a-thon \nJoin the current one here: [https://discord.gg/f37npYUm](https://discord.gg/f37npYUm) \n\n# Broad Vulnerability Categories for AI safety Plans:\n\nThis is not a definitive, exhaustive list. It can and has been used as a starting point for more refined ideas.\n\nSee [https://docs.google.com/document/d/1mW4SAxFN_aI6KyYXpl9qz5B9nVdeV9Xyc69GTNme5cA/edit?usp=drivesdk](https://docs.google.com/document/d/1mW4SAxFN_aI6KyYXpl9qz5B9nVdeV9Xyc69GTNme5cA/edit?usp=drivesdk) for examples.\n\n1. **Impractical:** The plan’s implementation would be so challenging that an unsafe AGI might be developed in the meantime due to the delays and complexities.\n\n 1. **Requires Unavailable Resources**\n\n 1. Requires more researchers in a field than are available or that could be trained in enough time.\n\n 1. Takes too much time - in the time taken to enact the plan, an unsafe AGI will have been built\n\n 1. Takes too many economic resources\n\n 1. **Relies on perfect air-gapping**\n\n 1. **Disregards likely real-world scenarios.:**\n\n 1. **Non-agentic AI Fallacy:** Relies on making AI safe by making it non-agentic. Any useful non-agentic AI can quickly be transformed into an agentic AI.\n\n 1. **Unattainable Treaties:**Hopes for a flawless international agreement, ignoring historical precedents of treaty violations.\n\n1. **Limited scope:** Addresses part of the alignment problem but not all of it. This very broad category will apply to most plans, so having subcategories will be necessary. Below are proposed subcategories\n\n 1. **Partial solution**\n\n 1. This plan is intended to help with but not solve alignment\n\n 1. **Addresses outer alignment but not inner alignment**\n\n 1. Outer alignment is deciding what we want an AGI to do. \n The paper focuses on what we want AGI to do without considering how.\n\n 1. **Addresses inner alignment but not outer alignment**\n\n 1. Inner alignment is figuring out how to get an AGI to do any particular thing. \n The paper concentrates on how AGI should work without defining its goals.\n\n 1. **Unsolved technical problems**\n\n 1. Leaves a lot of the alignment work to an AI\n\n 1. Relies on an effectively flawless simulation\n\n 1. **Unsolved theoretical problems**\n\n 1. Heavily reliant on an untested and unvalidated theory being exactly correct\n\n 1. Heavily reliant on an untested and unvalidated *empirical fact* being exactly correct\n\n 1. e.g. paper says X is true and it gives people more options. However, X is not proven and if false, it gives *fewer* options.\n\n 1. **Doesn’t try to solve alignmen**t\n\n 1. Models AI Alignment or AI safety but doesn’t try to solve it.\n\n 1. Not about alignment, only tangentially related to AI safety or completely unrelated.\n\n 1. **Does not solve unintended side-effects**\n\n 1. Presupposes that AGI has modeled accurately and comprehensively how its effects can impact humans down the line.\n\n 1. Does not consider how untracked effects feed back into gradually larger changes in global conditions (e.g. chaotic or evolutionary dynamics).\n\n 1. **Violates a fundamental limit**\n\n 1. Presupposes a capacity to measure, model, evaluate, or actuate effects that falls outside of what is physically possible.\n\n 1. e.g. AGI could not locally detect nor correct most localized effects.\n\n 1. e.g. AGI could not fully simulate the behavior of a more complex future version of itself, because it is not that version.\n\n1. **Reliant on human ethics:**\n\n 1. **Assumes that human ethics solves the alignment problem**. An AGI that adopted the ethical standards of the average human might not be adequately aligned since humans can do very unethical things\n\n 1. **Cultural relativism**: Assumes a universal understanding of human ethics, but this can vary significantly by cultures, groups and people.\n\n 1. **The AI's goals are defined using terms that are too vague/broad.** Attempts to define human values, or an approximation of them, using abstract terms such as 'prosperity' and 'freedom' which are hard to quantify.\n If we attempt to use these as goals without having a robust way of quantifying them, the AI could misinterpret what we say, especially when it is too early in training to understand natural language.\n May result in an AI which is aiming for a crude approximation of what we want, which results in a misaligned AI.\n\n 1. **Multiple goals are proposed, but a way to balance them when they come into conflict is not specified.** An AI may sacrifice one of its goals to serve the others. An AI could also mix them in unexpected and unwanted ways.\n\n1. **Does not scale:**\n\n 1. **Does not scale to more intelligence**\n\n 1. Plan uses reinforcement learning and a proxy reward function to fulfill a goal during training, which works with the intelligence the model displays during training, however if the model’s intelligence increases, there will be a lot more options available, which will allow for the reward function to be met in unanticipated and unwanted ways.\n\n 1. **Does not scale to more data**\n\n 1. Plan uses reinforcement learning and a proxy reward function to fulfill a goal during training, which works with the data available during training, however in the real world, there will be a lot more data available and a lot more options, which will allow for the reward function to be met in unanticipated and unwanted ways. (often called **misgeneralization**)\n\n 1. **Does not scale to more complex tasks**\n\n 1. This plan works for simple or specific tasks but lacks a clear path for scaling to more complex or generalized tasks.\n\n 1. **Does not scale to agentic AGI**\n\n 1. The plan makes a strategy for making a non-agentic powerful AI, however an aligned non-agentic AI is not guaranteed to remain aligned once it becomes an agent.\n\n 1. **Does not scale to multipolarity**\n\n 1. The plan does not work if there exist multiple advanced AI, and does not provide a reason why there would not be or does not mention the possibility.\n\n1. **Vulnerable to misuse/subversion:**\n\n 1. **Data Tampering:** AGI can be misled during training by users.\n\n1. **Lack of transparency/interpretability:** Plan does not adequately address the need for the AGI's decision-making process to be transparent and interpretable by humans, which is critical for ensuring ongoing alignment and managing risks.\n\n1. **Poorly communicated/structures:**\n\n 1. Plan uses a lot of jargon/specialist language which makes it difficult to understand and enact.\n\n 1. Is unclear **what** problems it aims to solve.\n\n 1. Is unclear **how** it claims to solve any of the problems it claims to solve.\n\n 1. Is unclear **why** the problems it solves are relevant to AI safety/Alignment/Security\n\n1. **Unethical**\n\n 1. E.g. requires creating potentially conscious entities for simulations.\n\n1. **Inherently Flawed**\n\n 1. **Unsound:**\n\n 1. **Technically Unsound:**\n\nExperimental results do not support the conclusion, or support it poorly, or they do not show what the authors argue, or the results are invalidated by a methodological error.\n\n 1. **Theoretically Unsound:**\n\nThere is an error in the demonstration or a critical flaw in the argumentation.\n\n1. **Negative externalities:**\n\n 1. Requires building improved detrimental tools (e.g. instantiate misaligned AI, adversarial attacks, etc.).\n\n 1. Can help build detrimental tools\n\n 1. Lower research threshold\n\n 1. Lower investment threshold\n\n 1. Can be used to further capabilities independently of their safety benefits.\n\n 1. Makes researchers or policymakers unjustifiably confident about safety.\n\n```" } }, { @@ -87753,13 +87753,13 @@ "id": "i-a3dfdbf08775d1c0d8e8a9a0d5243576fe9227b1d1680ea99a118fb04476d90c", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-a3dfdbf08775d1c0d8e8a9a0d5243576fe9227b1d1680ea99a118fb04476d90c", - "name": "Are zero knowledge proofs used in AI Safety?", + "name": "Are zero knowledge proofs used in AI safety?", "index": 1193, "createdAt": "2023-10-06T16:09:57.598Z", "updatedAt": "2023-10-06T17:07:07.524Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-a3dfdbf08775d1c0d8e8a9a0d5243576fe9227b1d1680ea99a118fb04476d90c", "values": { - "Edit Answer": "**[Are zero knowledge proofs used in AI Safety?](https://docs.google.com/document/d/1kV1jRDPl79dm6R_CI1RmVci0hRO0h2o1FHFIzu7LDVo/edit?usp=drivesdk)**", + "Edit Answer": "**[Are zero knowledge proofs used in AI safety?](https://docs.google.com/document/d/1kV1jRDPl79dm6R_CI1RmVci0hRO0h2o1FHFIzu7LDVo/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -87783,7 +87783,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```Are zero knowledge proofs used in AI Safety?\n```", + "All Phrasings": "```Are zero knowledge proofs used in AI safety?\n```", "UI ID": [ "```NH50```" ], @@ -88713,13 +88713,13 @@ "id": "i-f4c1d9eb90493890ba561046f0a1a80cb309db9270b8aecb14c43c05589e67b3", "type": "row", "href": "https://coda.io/apis/v1/docs/fau7sl2hmG/tables/table-YvPEyAXl8a/rows/i-f4c1d9eb90493890ba561046f0a1a80cb309db9270b8aecb14c43c05589e67b3", - "name": "How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI Safety Info?", + "name": "How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI safety Info?", "index": 149, "createdAt": "2023-01-14T12:58:12.344Z", "updatedAt": "2023-07-11T05:02:19.942Z", "browserLink": "https://coda.io/d/_dfau7sl2hmG#_tutable-YvPEyAXl8a/_rui-f4c1d9eb90493890ba561046f0a1a80cb309db9270b8aecb14c43c05589e67b3", "values": { - "Edit Answer": "**[How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI Safety Info?](https://docs.google.com/document/d/1dPBbFA0QWYjnTH2Bpgy1yRaNRlm1b_dGUXKTlrkuicE/edit?usp=drivesdk)**", + "Edit Answer": "**[How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI safety Info?](https://docs.google.com/document/d/1dPBbFA0QWYjnTH2Bpgy1yRaNRlm1b_dGUXKTlrkuicE/edit?usp=drivesdk)**", "Status": { "@context": "http://schema.org/", "@type": "StructuredValue", @@ -88754,7 +88754,7 @@ "Related Answers": [], "Possible Duplicates": "", "Refresh Possible Duplicates": "", - "All Phrasings": "```How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI Safety Info?\n```", + "All Phrasings": "```How do I add content from LessWrong / Effective Altruism Forum tag-wikis to Stampy's AI safety Info?\n```", "UI ID": "```7838```", "Link": { "@context": "http://schema.org/", @@ -89024,7 +89024,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What should be marked as a canonical answer on Stampy's AI Safety Info?", + "name": "What should be marked as a canonical answer on Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-e6d4a3980df9e40e3b16b754d2422417f83327b5c6ca75217b12e4111cdc8df8", "tableId": "grid-sync-1059-File", "rowId": "i-e6d4a3980df9e40e3b16b754d2422417f83327b5c6ca75217b12e4111cdc8df8", @@ -89408,7 +89408,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```How to contribute to AI Safety through academic routes ```", + "Notes": "```How to contribute to AI safety through academic routes ```", "Tag ID": 138, "Main question": "", "Count": 8, @@ -89609,7 +89609,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -91046,7 +91046,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -92225,7 +92225,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Do you need a PhD to work on AI Safety?", + "name": "Do you need a PhD to work on AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", "tableId": "grid-sync-1059-File", "rowId": "i-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", @@ -92382,7 +92382,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to help establish a career in AI Safety```", + "Notes": "```Resources to help establish a career in AI safety```", "Tag ID": 52, "Main question": "```OK, I'm convinced that this is important and I want to help. What do I do?```", "Count": 18, @@ -93379,7 +93379,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to find collaborators in AI Safety```", + "Notes": "```Resources to find collaborators in AI safety```", "Tag ID": 78, "Main question": "```Where can I find collaborators?```", "Count": 5, @@ -93513,7 +93513,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to find and build communities around AI Safety```", + "Notes": "```Resources to find and build communities around AI safety```", "Tag ID": 133, "Main question": "", "Count": 10, @@ -94263,7 +94263,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources and advice for contributing to AI Safety in any form```", + "Notes": "```Resources and advice for contributing to AI safety in any form```", "Tag ID": 12, "Main question": "", "Count": 37, @@ -95365,7 +95365,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -96529,7 +96529,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Philosophical posts on ethics in the context of AI Safety```", + "Notes": "```Philosophical posts on ethics in the context of AI safety```", "Tag ID": 146, "Main question": "", "Count": 10, @@ -97645,7 +97645,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to grant/obtain funding for AI Safety ventures```", + "Notes": "```Resources to grant/obtain funding for AI safety ventures```", "Tag ID": 55, "Main question": "", "Count": 10, @@ -98444,7 +98444,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Posts about the role of governments in AI Safety```", + "Notes": "```Posts about the role of governments in AI safety```", "Tag ID": 124, "Main question": "", "Count": 10, @@ -99677,7 +99677,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```International-scale actors in AI Safety```", + "Notes": "```International-scale actors in AI safety```", "Tag ID": 212, "Main question": "", "Count": 5, @@ -100275,7 +100275,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Books and reading material about AI Safety```", + "Notes": "```Books and reading material about AI safety```", "Tag ID": 18, "Main question": "", "Count": 9, @@ -100312,7 +100312,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Where can I find videos about AI Safety?", + "name": "Where can I find videos about AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", "tableId": "grid-sync-1059-File", "rowId": "i-0ffacb41571ba8a0dbefce70e1f0a139e9da6b6419d9559ab044830e0ecfc0f3", @@ -100332,7 +100332,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "AI Safety Memes Wiki", + "name": "AI safety Memes Wiki", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-b15dcb14841cd0373fcfee5db17120acd141de508c2dcf67279739d338f3432e", "tableId": "grid-sync-1059-File", "rowId": "i-b15dcb14841cd0373fcfee5db17120acd141de508c2dcf67279739d338f3432e", @@ -100512,7 +100512,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Central tag for machine learning concepts that are adjacent to the field of AI Safety```", + "Notes": "```Central tag for machine learning concepts that are adjacent to the field of AI safety```", "Tag ID": 68, "Main question": "", "Count": 15, @@ -100720,7 +100720,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to find mentorship for working in AI Safety```", + "Notes": "```Resources to find mentorship for working in AI safety```", "Tag ID": 142, "Main question": "", "Count": 8, @@ -102586,7 +102586,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Posts addressing objections to the importance of AI Safety```", + "Notes": "```Posts addressing objections to the importance of AI safety```", "Tag ID": 147, "Main question": "", "Count": 134, @@ -103127,7 +103127,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Information about organizations working in AI Safety```", + "Notes": "```Information about organizations working in AI safety```", "Tag ID": 39, "Main question": { "@context": "http://schema.org/", @@ -103917,7 +103917,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Posts on outreach methods to increase awareness about AI Safety```", + "Notes": "```Posts on outreach methods to increase awareness about AI safety```", "Tag ID": 204, "Main question": "", "Count": 5, @@ -104021,7 +104021,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Individual profiles of AI Safety researchers```", + "Notes": "```Individual profiles of AI safety researchers```", "Tag ID": 4, "Main question": "", "Count": 7, @@ -104692,7 +104692,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Advice on increasing productivity while working in AI Safety```", + "Notes": "```Advice on increasing productivity while working in AI safety```", "Tag ID": 129, "Main question": "", "Count": 8, @@ -104739,7 +104739,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is AI Safety via Debate?", + "name": "What is AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", "tableId": "grid-sync-1059-File", "rowId": "i-45bfa544bf341cc543f8dec3b6700e8105a08d5c4c80698f8607290af71366b9", @@ -107044,7 +107044,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Resources to study AI Safety formally```", + "Notes": "```Resources to study AI safety formally```", "Tag ID": 199, "Main question": "", "Count": 16, @@ -107642,7 +107642,7 @@ "tableUrl": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File" } ], - "Notes": "```Lists of AI Safety surveys```", + "Notes": "```Lists of AI safety surveys```", "Tag ID": 63, "Main question": "", "Count": 1, @@ -110054,7 +110054,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Do you need a PhD to work on AI Safety?", + "name": "Do you need a PhD to work on AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", "tableId": "grid-sync-1059-File", "rowId": "i-d403dcefbf0981ec4566919d5d523b28824a7765db86cc55522871c32da9a78c", @@ -110654,7 +110654,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What should be marked as a \"related\" question on Stampy's AI Safety Info?", + "name": "What should be marked as a \"related\" question on Stampy's AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-67bb92c3c09b667ecad95fa5f1f0dede510c862dc1d3da5917e05e180cd0da8e", "tableId": "grid-sync-1059-File", "rowId": "i-67bb92c3c09b667ecad95fa5f1f0dede510c862dc1d3da5917e05e180cd0da8e", @@ -110984,7 +110984,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What is the Center for AI Safety (CAIS)'s research agenda?", + "name": "What is the Center for AI safety (CAIS)'s research agenda?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-19434b821caacf0cf82ef8c4f5f687cd6f5a5a8225711f3c645e53bd61b0b90a", "tableId": "grid-sync-1059-File", "rowId": "i-19434b821caacf0cf82ef8c4f5f687cd6f5a5a8225711f3c645e53bd61b0b90a", @@ -111684,7 +111684,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Who contributed to Stampy’s AI Safety Info?", + "name": "Who contributed to Stampy’s AI safety Info?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-b585526234199b264916f69ae11da117c5faa007390c16e0f9732e7f0dfc91e9", "tableId": "grid-sync-1059-File", "rowId": "i-b585526234199b264916f69ae11da117c5faa007390c16e0f9732e7f0dfc91e9", @@ -112994,7 +112994,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What are obfuscated arguments in AI Safety via Debate?", + "name": "What are obfuscated arguments in AI safety via Debate?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", "tableId": "grid-sync-1059-File", "rowId": "i-2e8bf67fd1fbf7b0ec9478e4b024c58787825d0d9fe65291afcafb8ac10d21dc", @@ -115084,7 +115084,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "What are some transparency tools that AI Safety researchers use?", + "name": "What are some transparency tools that AI safety researchers use?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-3d5935814edb99cac54a89804f8972f254b198292d4c9c9eda26264a8b5cc5fa", "tableId": "grid-sync-1059-File", "rowId": "i-3d5935814edb99cac54a89804f8972f254b198292d4c9c9eda26264a8b5cc5fa", @@ -116454,7 +116454,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Broad Vulnerability Categories For AI Safety Plans", + "name": "Broad Vulnerability Categories For AI safety Plans", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-e94e540f5c5e09d1049f64d0750620e1d0d1bd6d4abdd3d3b6f5d9722ad53e4b", "tableId": "grid-sync-1059-File", "rowId": "i-e94e540f5c5e09d1049f64d0750620e1d0d1bd6d4abdd3d3b6f5d9722ad53e4b", @@ -117094,7 +117094,7 @@ "@context": "http://schema.org/", "@type": "StructuredValue", "additionalType": "row", - "name": "Are zero knowledge proofs used in AI Safety?", + "name": "Are zero knowledge proofs used in AI safety?", "url": "https://coda.io/d/_dfau7sl2hmG#_tugrid-sync-1059-File/_rui-a3dfdbf08775d1c0d8e8a9a0d5243576fe9227b1d1680ea99a118fb04476d90c", "tableId": "grid-sync-1059-File", "rowId": "i-a3dfdbf08775d1c0d8e8a9a0d5243576fe9227b1d1680ea99a118fb04476d90c", diff --git a/app/root.css b/app/root.css index 612fa9c6..4407b12c 100644 --- a/app/root.css +++ b/app/root.css @@ -527,6 +527,15 @@ h2 { gap: var(--spacing-64); } +.gap-16 { + gap: var(--spacing-16) !important; +} + +.center-align { + align-items: center; +} + + /* z-index classes */ .z-index-1 { z-index: 1; diff --git a/app/root.tsx b/app/root.tsx index 5d127619..b76f185e 100644 --- a/app/root.tsx +++ b/app/root.tsx @@ -57,7 +57,7 @@ const fetchQuestion = async (request: Request) => { } const TITLE = 'AISafety.info' -const DESCRIPTION = 'AI Safety FAQ' +const DESCRIPTION = 'AI safety FAQ' const twitterCreator = '@stampyai' export const meta: MetaFunction = ({data = {} as any}) => { const title = makeSocialPreviewText(data.question?.title, TITLE, 150) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index e1d075ec..ac532dc2 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -71,11 +71,11 @@ const ResearchPath = () => (

    • ( (

    @@ -280,10 +280,10 @@ const GovernancePath = () => ( (

    ( ]} additionalInfo={ <> - Or browse our other grantmaker recommendations + Or, browse our other grantmaker recommendations } > @@ -61,15 +61,9 @@ const ResearchPath = () => (

    - +

    - Essentially, AI safety field experts allocate your funds where they believe they will be - the most impactful within AI alignment research, AI governance, or AI safety - field-building. -

    -

    - We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding - high-value projects worldwide. + If you’re deeply involved in the AI safety community, we encourage you to directly fund research, projects, or miscellaneous expenses that you think are valuable. Donating directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that deserves funds, you’re likely to make a better decision than a grantmaker.

    @@ -78,7 +72,7 @@ const ResearchPath = () => ( { export default function Grassroots() { return ( - +
    fill me out, please
    ) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index c1734559..f3251383 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -7,7 +7,7 @@ export const meta: MetaFunction = () => { export default function Knowledge() { return ( - +
    fill me out, please
    ) diff --git a/public/embed-example.html b/public/embed-example.html index 74054aed..5de7e203 100644 --- a/public/embed-example.html +++ b/public/embed-example.html @@ -3,21 +3,21 @@

    Search bar, using links, light theme

    Only initial questions, using links, system default theme

    Both search and initial questions, opening inline, expanding iframe height, dark theme

    diff --git a/public/toc.json b/public/toc.json index db58602d..953b822a 100644 --- a/public/toc.json +++ b/public/toc.json @@ -4,7 +4,7 @@ "content" : "🆕 New to AI safety? Start here.", "items" : [ { - "content" : "📘 Introduction to AI Safety", + "content" : "📘 Introduction to AI safety", "items" : [ { "pageId" : "8486", @@ -645,7 +645,7 @@ ] }, { - "content" : "Impact of AI Safety", + "content" : "Impact of AI safety", "items" : [ { "pageId" : "3486", @@ -911,7 +911,7 @@ "items" : [ { "pageId" : "8201", - "content" : "What is AI Safety via Debate?", + "content" : "What is AI safety via Debate?", "items" : [ ] }, { @@ -1543,7 +1543,7 @@ "items" : [ { "pageId" : "2222", - "content" : "Where can I find videos about AI Safety?", + "content" : "Where can I find videos about AI safety?", "items" : [ ] }, { @@ -1558,7 +1558,7 @@ }, { "pageId" : "MEME", - "content" : "AI Safety Memes Wiki", + "content" : "AI safety Memes Wiki", "items" : [ ] }, { diff --git a/stories/ArticlesNav.stories.ts b/stories/ArticlesNav.stories.ts index 0236fb33..87711980 100644 --- a/stories/ArticlesNav.stories.ts +++ b/stories/ArticlesNav.stories.ts @@ -96,7 +96,7 @@ const article = { ], }, { - title: 'Introduction to AI Safety', + title: 'Introduction to AI safety', pageid: 'NH53', hasText: false, ttr: 1, diff --git a/stories/Button.stories.tsx b/stories/Button.stories.tsx index 4a17030f..7b2d7d24 100644 --- a/stories/Button.stories.tsx +++ b/stories/Button.stories.tsx @@ -79,7 +79,7 @@ export const Link1: Story = { children: ( <> -
    New to AI Safety?
    +
    New to AI safety?
    Something about
    reading and quick diff --git a/stories/ContentB.stories.tsx b/stories/ContentB.stories.tsx index e85007a2..62e708f2 100644 --- a/stories/ContentB.stories.tsx +++ b/stories/ContentB.stories.tsx @@ -25,7 +25,7 @@ export const Primary: Story = { className: 'teal-background', title: ( <> -
    New to AI Safety?
    +
    New to AI safety?
    Something about
    reading and quick @@ -44,7 +44,7 @@ export const Primary: Story = { loading="lazy" src="/assets/book-circle.svg" className="content-box-right-icon" - alt="AI Safety Image" + alt="AI safety Image" /> ), }, diff --git a/stories/MobileNav.stories.tsx b/stories/MobileNav.stories.tsx index e68b92d9..fc3c6354 100644 --- a/stories/MobileNav.stories.tsx +++ b/stories/MobileNav.stories.tsx @@ -167,7 +167,7 @@ export const Primary: Story = { ], }, { - title: 'Introduction to AI Safety', + title: 'Introduction to AI safety', pageid: 'NH50', hasText: false, order: 1, diff --git a/stories/Nav.stories.ts b/stories/Nav.stories.ts index 5c55f49f..cd36249d 100644 --- a/stories/Nav.stories.ts +++ b/stories/Nav.stories.ts @@ -160,7 +160,7 @@ export const Primary: Story = { ], }, { - title: 'Introduction to AI Safety', + title: 'Introduction to AI safety', pageid: 'NH50', hasText: false, ttr: 1, diff --git a/stories/SearchResults.stories.tsx b/stories/SearchResults.stories.tsx index df51bb12..462246f2 100644 --- a/stories/SearchResults.stories.tsx +++ b/stories/SearchResults.stories.tsx @@ -19,7 +19,7 @@ export const Default: Story = { description: 'Instrumental convergence is the idea that as an AI becomes more intelligent and capable, it will converge on certain instrumental goals, such as self-preservation and resource acquisition.', url: '/what-is-instrumental-convergence', - source: 'From Introduction to AI Safety', + source: 'From Introduction to AI safety', }, { title: "A post that doesn't have the keyword in the title", From 170e6fb76e8ae56ef526633a9aa9705c8557eaef Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 23 Oct 2024 19:57:20 -0400 Subject: [PATCH 033/106] lint --- app/root.css | 1 - app/routes/how-can-i-help.donate.tsx | 10 ++++++++-- 2 files changed, 8 insertions(+), 3 deletions(-) diff --git a/app/root.css b/app/root.css index 4407b12c..7a779145 100644 --- a/app/root.css +++ b/app/root.css @@ -535,7 +535,6 @@ h2 { align-items: center; } - /* z-index classes */ .z-index-1 { z-index: 1; diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 9bad683d..8a288ddc 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -46,7 +46,10 @@ const ResearchPath = () => ( ]} additionalInfo={ <> - Or, browse our other grantmaker recommendations + Or, browse our{' '} + + other grantmaker recommendations + } > @@ -63,7 +66,10 @@ const ResearchPath = () => (

    - If you’re deeply involved in the AI safety community, we encourage you to directly fund research, projects, or miscellaneous expenses that you think are valuable. Donating directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that deserves funds, you’re likely to make a better decision than a grantmaker. + If you’re deeply involved in the AI safety community, we encourage you to directly fund + research, projects, or miscellaneous expenses that you think are valuable. Donating + directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that + deserves funds, you’re likely to make a better decision than a grantmaker.

    From 59aaa2bdb870f4177f6643aad60117985ab8918d Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Thu, 24 Oct 2024 10:49:41 -0400 Subject: [PATCH 034/106] small fixes --- app/components/Card/index.tsx | 4 +- app/components/HowCanIHelp/HelpMethods.tsx | 4 +- app/routes/how-can-i-help.donate.tsx | 172 ++++++++++----------- 3 files changed, 86 insertions(+), 94 deletions(-) diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index e4d7583f..62a00589 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -5,7 +5,7 @@ import './card.css' interface CardProps { title: string description: string - impact: string + impact?: string icon: (props: SVGProps) => JSX.Element action: string className?: string @@ -20,7 +20,7 @@ export default function Card({title, description, impact, icon, action, classNam

    {title}

    {description}

    -

    {impact}

    + {impact &&

    {impact}

    }
    ) diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 268765bd..1f74081e 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -27,7 +27,6 @@ const HelpMethods = ({ title="Build your knowledge" description="Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field" icon={Book} - impact="We'll show you how" className="col-6" /> )} @@ -37,7 +36,6 @@ const HelpMethods = ({ title="Join a community" description="Connecting with others online or in person will help you navigate the transition to a career in AI safety" icon={People} - impact="Find your community" className="col-6" /> )} @@ -47,7 +45,7 @@ const HelpMethods = ({ {current !== 'career' && ( { return [{title: 'How Can I Help? - AISafety.info'}] } -const ResearchPath = () => ( - <> -
    -
    -
    -

    Who

    -

    - All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary - professional wishing to donate 10% of their income, or a well-off philanthropist looking - to create major change for good can all financially contribute to advance this effort. -

    -
    -
    -

    Why this is important

    -

    - The AI safety field is funding-limited as of mid-2023, and there are important avenues - in AI alignment research and AI governance that cannot currently be explored due to this - lack of funding. -

    +export default function Donate() { + return ( + +
    +
    +
    +

    Who

    +

    + All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary + professional wishing to donate 10% of their income, or a well-off philanthropist looking + to create major change for good can all financially contribute to advance this effort. +

    +
    +
    +

    Why this is important

    +

    + The AI safety field is funding-limited as of mid-2023, and there are important avenues + in AI alignment research and AI governance that cannot currently be explored due to this + lack of funding. +

    +
    -
    - -
    -

    How & where to donate

    - - Or, browse our{' '} - - other grantmaker recommendations - - - } - > -

    - Essentially, AI safety field experts allocate your funds where they believe they will be - the most impactful within AI alignment research, AI governance, or AI safety - field-building. -

    -

    - We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding - high-value projects worldwide. -

    -     - -

    - If you’re deeply involved in the AI safety community, we encourage you to directly fund - research, projects, or miscellaneous expenses that you think are valuable. Donating - directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that - deserves funds, you’re likely to make a better decision than a grantmaker. -

    -     -
    +
    +

    How & where to donate

    + + Or, browse our{' '} + + other grantmaker recommendations + + + } + > +

    + Essentially, AI safety field experts allocate your funds where they believe they will be + the most impactful within AI alignment research, AI governance, or AI safety + field-building. +

    +

    + We recommend the Long-Term Future Fund, the go-to grantmaker for identifying and funding + high-value projects worldwide. +

    +     -
    - - -
    + +

    + If you're deeply involved in the AI safety community, we encourage you to directly fund + research, projects, or miscellaneous expenses that you think are valuable. Donating + directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that + deserves funds, you're likely to make a better decision than a grantmaker. +

    +     +
    -
    - -
    - -) +
    + + +
    -export default function HowCanIHelp() { - return ( - - +
    + +
    ) } From 0c14d7bf9989fc74e363babdaede42d9937df7ee Mon Sep 17 00:00:00 2001 From: Myles Date: Thu, 24 Oct 2024 11:16:45 -0400 Subject: [PATCH 035/106] Smooth only on career --- app/root.css | 1 - app/routes/how-can-i-help.career.tsx | 7 +++++++ 2 files changed, 7 insertions(+), 1 deletion(-) diff --git a/app/root.css b/app/root.css index 612fa9c6..c1a90983 100644 --- a/app/root.css +++ b/app/root.css @@ -61,7 +61,6 @@ body, html { height: 100%; - scroll-behavior: smooth; } /* body */ diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index bc6f7e9c..676a4faa 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -6,6 +6,7 @@ import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' +import {useEffect} from 'react' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -614,6 +615,12 @@ const CareerPaths = () => ( ) export default function HowCanIHelp() { + useEffect(() => { + document.documentElement.style.scrollBehavior = 'smooth' + return () => { + document.documentElement.style.scrollBehavior = 'auto' + } + }, []) return ( From 65ca2ef3e63194ed3d27af3eaaf5c9aed9686280 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Thu, 24 Oct 2024 11:28:14 -0400 Subject: [PATCH 036/106] lint --- app/routes/how-can-i-help.donate.tsx | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 146b6720..ec5c440c 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -17,16 +17,17 @@ export default function Donate() {

    Who

    All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary - professional wishing to donate 10% of their income, or a well-off philanthropist looking - to create major change for good can all financially contribute to advance this effort. + professional wishing to donate 10% of their income, or a well-off philanthropist + looking to create major change for good can all financially contribute to advance this + effort.

    Why this is important

    The AI safety field is funding-limited as of mid-2023, and there are important avenues - in AI alignment research and AI governance that cannot currently be explored due to this - lack of funding. + in AI alignment research and AI governance that cannot currently be explored due to + this lack of funding.

    From 84cc6a10509a865480aa2843327756abf4893100 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Thu, 24 Oct 2024 12:59:24 -0300 Subject: [PATCH 037/106] lint done --- app/routes/how-can-i-help.career.tsx | 105 ++++++++++++++------------- 1 file changed, 55 insertions(+), 50 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 4a1d7649..ba79ee1d 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -46,9 +46,9 @@ const ResearchPath = () => ( independently; or on industry safety teams*.

    - *Note: Beware of the risk of joining industry "safety" teams, - as this work often leaks to non-safety parts of the organization which improves the AI - technology itself—and so ends up causing harm. + *Note: Beware of the risk of joining industry + "safety" teams, as this work often leaks to non-safety parts of the organization which + improves the AI technology itself—and so ends up causing harm.

    @@ -112,11 +112,16 @@ const ResearchPath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} + title={ + <> + A process note: Form your own understanding of the AI alignment technical + challenge + + } links={[ { title: 'Our ‘Build your knowledge’ guide', - action: 'https://aisafety.info/howcanihelp/knowledge', + action: 'https://aisafety.info/howcanihelp/knowledge', }, { title: 'Our ‘Join a community’ guide', @@ -126,11 +131,11 @@ const ResearchPath = () => ( > AI safety is a relatively new field with diverse opinions on how best to solve the technical challenge of AI alignment. Many unexplored avenues and important questions likely remain - unaddressed. Therefore, it's crucial for AI alignment researchers (or - aspiring researchers) to think independently and develop their own models on this topic. - If you pursue a career in this field, we recommend deeply educating yourself on the - technical challenge of alignment, engaging with other AI safety experts, and thinking - critically about the topic and current paradigms. + unaddressed. Therefore, it's crucial for AI alignment researchers (or aspiring researchers) + to think independently and develop their own models on this topic. If you pursue a career in + this field, we recommend deeply educating yourself on the technical challenge of alignment, + engaging with other AI safety experts, and thinking critically about the topic and current + paradigms.
    @@ -148,7 +153,8 @@ const ResearchPath = () => ( { title: 'Read 80k’s guide on operations management', action: 'https://80000hours.org/articles/operations-management/', - }]} + }, + ]} > This involves overseeing the day-to-day activities that enable the organization to function efficiently and effectively. Responsibilities may include administrative support, @@ -225,27 +231,19 @@ const GovernancePath = () => (

    What

    -

    - Lorem ipsum -

    +

    Lorem ipsum

    Why this is important

    -

    - Lorem ipsum -

    +

    Lorem ipsum

    Where these people usually work

    -

    - Lorem ipsum -

    +

    Lorem ipsum

    You might be a good fit if...

    -

    - Lorem ipsum -

    +

    Lorem ipsum

    @@ -263,7 +261,7 @@ const GovernancePath = () => ( { tag: 'Top recommendation', title: 'Technical AI Safety Career Review', - action: '' + action: 'https://80000hours.org/career-reviews/ai-safety-researcher/', }, ]} > @@ -285,7 +283,7 @@ const GovernancePath = () => ( }, { title: 'Book your 80,000 Hours call', - action: '' + action: 'https://80000hours.org/speak-with-us/', }, ]} > @@ -304,7 +302,7 @@ const GovernancePath = () => ( links={[ { title: 'Our ‘Build your knowledge’ guide', - action: 'https://aisafety.info/howcanihelp/knowledge', + action: 'https://aisafety.info/howcanihelp/knowledge', }, { title: 'Our ‘Join a community’ guide', @@ -370,10 +368,10 @@ const FieldBuildingPath = () => (

    Why this is important

    The AI safety field is still in its early stages, with significant room for growth and - maturation. It is important to capitalize on this potential because it may be the deciding - factor between successfully solving the alignment problem and mitigating AI risk through - global coordination, or not. This growth will largely result from field-building efforts - specifically. + maturation. It is important to capitalize on this potential because it may be the + deciding factor between successfully solving the alignment problem and mitigating AI + risk through global coordination, or not. This growth will largely result from + field-building efforts specifically.

    @@ -382,8 +380,8 @@ const FieldBuildingPath = () => ( Field-building may be the way to go if neither alignment research nor governance appeals to you or fits your skillset. You may be a particularly good fit if you have a strong sense of agency or leadership, or you are creative. That said, a large variety of roles - exist within field-building, so it’s likely that you can adapt your skillset—whatever - it is—to a role. + exist within field-building, so it’s likely that you can adapt your skillset—whatever it + is—to a role.

    @@ -403,9 +401,9 @@ const FieldBuildingPath = () => ( ]} > Communications involves educating the public or spreading the word about AI safety—most - typically through websites or social media. People with computer skills and creative skills can typically find a place within communications. Roles could - include independent content production, software engineering, project management, or - design. + typically through websites or social media. People with computer skills and creative skills + can typically find a place within communications. Roles could include independent content + production, software engineering, project management, or design. (
    - There are many roles that support the work of AI alignment researchers or people - in AI governance, and having high-performing people in these roles is crucial. - In a research organisation, for example, around half of the staff will be doing - other tasks essential for the organisation to perform at its best and have an - impact. Some of the most common supporting roles in AI safety include: + There are many roles that support the work of AI alignment researchers or people in AI + governance, and having high-performing people in these roles is crucial. In a research + organisation, for example, around half of the staff will be doing other tasks essential + for the organisation to perform at its best and have an impact. Some of the most common + supporting roles in AI safety include: ( ]} > This involves managing administrative tasks to enhance their productivity. - Responsibilities include scheduling meetings, handling correspondence, - coordinating travel, organizing events, and ensuring they can focus on - impactful AI safety or governance efforts. + Responsibilities include scheduling meetings, handling correspondence, coordinating + travel, organizing events, and ensuring they can focus on impactful AI safety or + governance efforts.

    Other technical roles

    @@ -509,6 +507,7 @@ const FieldBuildingPath = () => ( }, ]} > + {null} ( }, ]} > + {null}
    @@ -557,7 +557,12 @@ const FieldBuildingPath = () => (     A process note: Form your own understanding of the AI alignment technical challenge} + title={ + <> + A process note: Form your own understanding of the AI alignment technical + challenge + + } links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -570,12 +575,12 @@ const FieldBuildingPath = () => ( ]} > AI safety is a relatively new field with diverse opinions on how best to solve the technical - challenge of AI alignment. Many unexplored avenues and important questions likely remain unaddressed. - Therefore, it's crucial for AI alignment researchers (or - aspiring researchers) to think independently and develop their own models on this topic. - If you pursue a career in this field, we recommend deeply educating yourself on the - technical challenge of alignment, engaging with other AI safety experts, and thinking - critically about the topic and current paradigms. + challenge of AI alignment. Many unexplored avenues and important questions likely remain + unaddressed. Therefore, it's crucial for AI alignment researchers (or aspiring researchers) + to think independently and develop their own models on this topic. If you pursue a career in + this field, we recommend deeply educating yourself on the technical challenge of alignment, + engaging with other AI safety experts, and thinking critically about the topic and current + paradigms.
    From 347d862cf52589a9ee1043982e3b3a1241b9b689 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Thu, 24 Oct 2024 21:09:27 -0300 Subject: [PATCH 038/106] first pass --- .../icons-generated/GovermentBuilding.tsx | 2 +- app/components/icons-generated/Microscope.tsx | 4 +- .../icons-generated/PuzzlePieces.tsx | 2 +- app/root.css | 4 + app/routes/how-can-i-help.grassroots.tsx | 140 +++++++++++++++++- 5 files changed, 146 insertions(+), 6 deletions(-) diff --git a/app/components/icons-generated/GovermentBuilding.tsx b/app/components/icons-generated/GovermentBuilding.tsx index 53b89ecb..f932e3ac 100644 --- a/app/components/icons-generated/GovermentBuilding.tsx +++ b/app/components/icons-generated/GovermentBuilding.tsx @@ -24,7 +24,7 @@ const SvgGovermentBuilding = (props: SVGProps) => ( fill="url(#goverment_building_svg__b)" d="M40 5a1 1 0 0 1 1-1h10.138a.5.5 0 0 1 .434.748l-1.289 2.256a1 1 0 0 0 0 .992l1.29 2.256a.5.5 0 0 1-.435.748H41a1 1 0 0 1-1-1z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> diff --git a/app/components/icons-generated/Microscope.tsx b/app/components/icons-generated/Microscope.tsx index 0656e6cd..c30ac748 100644 --- a/app/components/icons-generated/Microscope.tsx +++ b/app/components/icons-generated/Microscope.tsx @@ -5,7 +5,7 @@ const SvgMicroscope = (props: SVGProps) => ( fill="url(#microscope_svg__a)" d="M19 74a3 3 0 0 1 3-3h36a3 3 0 0 1 3 3v2a1 1 0 0 1-1 1H20a1 1 0 0 1-1-1z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> ) => ( d="m42.645 33.089 1.344 1.69a4.33 4.33 0 0 0 3.208 1.635l1.23.052a2.17 2.17 0 0 1 2.056 1.868l.164 1.15a12.08 12.08 0 0 1-2.66 9.405l-.272.33a2.17 2.17 0 0 1-2.95.372l-2.116-1.545a2 2 0 0 0-3.112 1.098l-3.269 12.2c-.565 2.11 1.054 4.165 3.175 3.686 8.37-1.892 15.598-8.653 18.113-18.04 3.06-11.416-1.862-22.956-11.218-27.908q-.004.24-.068.48z" clipRule="evenodd" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> ) => ( fill="url(#puzzle_pieces_svg__a)" d="M8 15.571A2.57 2.57 0 0 1 10.571 13H32.43A2.57 2.57 0 0 1 35 15.571V22h-2.571a4.5 4.5 0 1 0 0 9H35v6a3 3 0 0 0 3 3h21.429A2.57 2.57 0 0 1 62 42.571V64.43A2.57 2.57 0 0 1 59.429 67H10.57A2.57 2.57 0 0 1 8 64.429z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> { return [{title: 'How Can I Help? - AISafety.info'}] } +const TopText = () => ( + <> +
    +
    +
    +

    Who

    +

    + For anyone—help us spread the word about this issue to friends, those in your social + media or professional network, or whomever. +

    +
    +
    +

    Why this is important

    +

    + AI poses a serious risk of human extinction—potentially soon. Raising global awareness + is important to help us unite and take the best step forward. +

    +
    +
    +
    + +) +const WhatYouCanDo = () => ( + <> +

    + What you can do, right now +

    +
    + + Or, choose another from our{' '} + + Intro to AI Safety video playlist + + + } + > +

    We recommend sharing “A.I. - Humanity’s Final Invention?”, which gives an accessible overview to the topic of AI and existential risk

    +     + + +

    Contacting politicians raises awareness among those who can shape policy and make a real difference

    +     + + +

    Protests happen in major cities globally, and need people like you!

    +     + + +

    Take whatever chance you can to promote this topic to friends, those in your social media or professional network, or whomever

    +     + + + You could also look into{' '} + + other major petitions + + + } + > +

    Add your signature next to Elon Musk, Steve Wozniak, and Stuart Russel in the most well-known AI Safety petition, “Pause Giant AI Experiments: An Open Letter”

    +     +
    + +
    + Our articles on spreading the
    word & grassroots activism} + category="NM1A" + /> +
    + +) + export default function Grassroots() { + useEffect(() => { + document.documentElement.style.scrollBehavior = 'smooth' + return () => { + document.documentElement.style.scrollBehavior = 'auto' + } + }, []) return ( - -
    fill me out, please
    + Spread the word &
    grassroots activism} subpage="grassroots"> + + + + + ) } From 63c226b87cba3a67ca6242a09c333c51cd7ae706 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 09:55:45 -0400 Subject: [PATCH 039/106] Updated Knowledge --- app/routes/how-can-i-help.knowledge.tsx | 219 +++++++++++++++++++++++- 1 file changed, 218 insertions(+), 1 deletion(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index f3251383..4987353c 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -1,14 +1,231 @@ import {MetaFunction} from '@remix-run/node' +import CardSmall from '~/components/CardSmall' +import DropDown from '~/components/DropDown' +import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' +import HelpItem from '~/components/HowCanIHelp/HelpItem' +import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' +import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' +import {useEffect} from 'react' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] } +const NewToAISafety = () => ( + <> + + +
    +
    +

    + If you're somewhat new to AI safety, we recommend an introductory overview +

    +
    + + {/* TODO: add video */} +

    + Our website’s “Intro to AI Safety” micro-course includes several short readings that + act as a comprehensive introduction the topic of AI safety. +

    +

    + Our Intro to AI Safety video playlist illustrates many of the most important points + about AI safety in a way that is entertaining and easy to understand. +

    +     + + {/* TODO: add Browse full list */} +

    + We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in + AI alignment and safety. The interview provides an introduction to AI risk and + discusses many important AI safety concepts. +

    + +     + +
    + + +) + +const Dropdowns = () => ( +
    + +

    TODO fill this

    +     + {/* TODO: fix the double line */} + +

    TODO fill this

    +     +
    +) + +const DiveDeeper = () => ( + <> +
    +
    +

    + If you want to dive deeper +

    +
    + +

    + We recommend taking an online course if your interests have narrowed to a specific + subset of AI safety, such as AI alignment research or AI governance. +

    +

    + The AI Safety Fundamentals (AISF) Governance Course, for example, is especially suited + for policymakers and similar stakeholders interested in AI governance mechanisms. It + explores policy levers for steering the future of AI development. +

    +

    + The AISF Alignment Course is especially suited for people with a technical background + interested in AI alignment research. It explores research agendas for aligning AI + systems with human interests. +

    +

    + Note: If you take the AISF courses, consider exploring additional views on AI safety + to help avoid homogeneity in the field, such as The Most Important Century blog post + series. + {/* TODO: fix bold on link */} +

    +

    + Note: AISF courses do not accept all applicants, but we still recommend taking the + courses through self-study if your application is unsuccessful. +

    +     + + +

    + Most people who are really into AI existential safety ultimately end up in this + online, forum-based community which fosters high-quality discussions about AI safety + research and governance. +

    + +     + + +

    + Events, typically conferences and talks, are often held in person and last one to + three days. +

    +

    + We've highlighted EAGx, an Effective Altruism conference dedicated to networking and + learning about important global issues, with a strong focus on AI safety. Several + EAGx's are held annually in various major cities across the world. +

    +     + + +

    + AI safety fellowships typically last one to three weeks and are offered both online + and in person. They focus on developing safe and ethical AI practices through + research, mentorship, and collaboration on innovative solutions. +

    + +     + +
    + + +) +const OurArticles = () => ( + <> +
    + +
    + +) + + + + export default function Knowledge() { + useEffect(() => { + document.documentElement.style.scrollBehavior = 'smooth' + return () => { + document.documentElement.style.scrollBehavior = 'auto' + } + }, []) return ( -
    fill me out, please
    + + + + + + + + + {/* TODO: Boost your learning efforts */} + ) } From b8b7d90ef2ea556ba019cc8e973a3a8e4cd4b6ee Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 09:57:07 -0400 Subject: [PATCH 040/106] Lint --- app/routes/how-can-i-help.knowledge.tsx | 96 +++++++++++-------------- 1 file changed, 41 insertions(+), 55 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 4987353c..5530aef8 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -14,8 +14,6 @@ export const meta: MetaFunction = () => { const NewToAISafety = () => ( <> - -

    @@ -34,12 +32,12 @@ const NewToAISafety = () => ( > {/* TODO: add video */}

    - Our website’s “Intro to AI Safety” micro-course includes several short readings that - act as a comprehensive introduction the topic of AI safety. + Our website’s “Intro to AI Safety” micro-course includes several short readings that act + as a comprehensive introduction the topic of AI safety.

    - Our Intro to AI Safety video playlist illustrates many of the most important points - about AI safety in a way that is entertaining and easy to understand. + Our Intro to AI Safety video playlist illustrates many of the most important points about + AI safety in a way that is entertaining and easy to understand.

    ( > {/* TODO: add Browse full list */}

    - We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in - AI alignment and safety. The interview provides an introduction to AI risk and - discusses many important AI safety concepts. + We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in AI + alignment and safety. The interview provides an introduction to AI risk and discusses many + important AI safety concepts.

    -     -

    - ) const Dropdowns = () => (
    - -

    TODO fill this

    + +

    TODO fill this

     {/* TODO: fix the double line */}

    TODO fill this

    -     -
    + +
    ) const DiveDeeper = () => ( @@ -91,36 +86,38 @@ const DiveDeeper = () => ( links={[ { tag: 'Highlight course', - title: "AISF Governance Course", + title: 'AISF Governance Course', action: 'https://aisafetyfundamentals.com/governance/', }, { tag: 'Highlight course', - title: "AISF Alignment Course", + title: 'AISF Alignment Course', action: 'https://aisafetyfundamentals.com/alignment/', }, ]} // TODO: add "full list of courses" >

    - We recommend taking an online course if your interests have narrowed to a specific - subset of AI safety, such as AI alignment research or AI governance. + We recommend taking an online course if your interests have narrowed to a specific subset + of AI safety, such as AI alignment research or AI governance.

    - The AI Safety Fundamentals (AISF) Governance Course, for example, is especially suited - for policymakers and similar stakeholders interested in AI governance mechanisms. It - explores policy levers for steering the future of AI development. + The AI Safety Fundamentals (AISF) Governance Course, for example, is especially suited for + policymakers and similar stakeholders interested in AI governance mechanisms. It explores + policy levers for steering the future of AI development.

    The AISF Alignment Course is especially suited for people with a technical background - interested in AI alignment research. It explores research agendas for aligning AI - systems with human interests. + interested in AI alignment research. It explores research agendas for aligning AI systems + with human interests.

    - Note: If you take the AISF courses, consider exploring additional views on AI safety - to help avoid homogeneity in the field, such as The Most Important Century blog post - series. - {/* TODO: fix bold on link */} + Note: If you take the AISF courses, consider exploring additional views on AI + safety to help avoid homogeneity in the field, such as{' '} + + The Most Important Century blog post series + + .{/* TODO: fix bold on link */}

    Note: AISF courses do not accept all applicants, but we still recommend taking the @@ -133,21 +130,20 @@ const DiveDeeper = () => ( links={[ { tag: 'Most widely-used', - title: "Lesswrong", + title: 'Lesswrong', action: 'https://www.lesswrong.com/', }, { - title: "Alignment Forum", + title: 'Alignment Forum', action: 'https://www.alignmentforum.org/', }, ]} >

    - Most people who are really into AI existential safety ultimately end up in this - online, forum-based community which fosters high-quality discussions about AI safety - research and governance. + Most people who are really into AI existential safety ultimately end up in this online, + forum-based community which fosters high-quality discussions about AI safety research and + governance.

    - ( links={[ { tag: 'Top recommendation', - title: "EAGx", + title: 'EAGx', action: 'https://www.effectivealtruism.org/ea-global', }, // TODO: add "browse full list" ]} >

    - Events, typically conferences and talks, are often held in person and last one to - three days. + Events, typically conferences and talks, are often held in person and last one to three + days.

    We've highlighted EAGx, an Effective Altruism conference dedicated to networking and - learning about important global issues, with a strong focus on AI safety. Several - EAGx's are held annually in various major cities across the world. + learning about important global issues, with a strong focus on AI safety. Several EAGx's + are held annually in various major cities across the world.

    @@ -176,37 +172,28 @@ const DiveDeeper = () => ( title="Sign up for fellowships" links={[ { - title: "Browse our full list of fellowships", + title: 'Browse our full list of fellowships', action: 'https://aisafety.info/questions/8264', }, ]} >

    - AI safety fellowships typically last one to three weeks and are offered both online - and in person. They focus on developing safe and ethical AI practices through - research, mentorship, and collaboration on innovative solutions. + AI safety fellowships typically last one to three weeks and are offered both online and in + person. They focus on developing safe and ethical AI practices through research, + mentorship, and collaboration on innovative solutions.

    - -
    - ) const OurArticles = () => ( <>
    - +
    ) - - - export default function Knowledge() { useEffect(() => { document.documentElement.style.scrollBehavior = 'smooth' @@ -225,7 +212,6 @@ export default function Knowledge() { {/* TODO: Boost your learning efforts */} - ) } From db29513dfefc1854f861f26d974457af2289d540 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 10:03:40 -0400 Subject: [PATCH 041/106] Removed unused imports --- app/routes/how-can-i-help.knowledge.tsx | 3 --- 1 file changed, 3 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 5530aef8..7928cc50 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -1,10 +1,7 @@ import {MetaFunction} from '@remix-run/node' -import CardSmall from '~/components/CardSmall' import DropDown from '~/components/DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' -import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' From 74c202eed1f8687073961ea646c3ccafba2cfc15 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 11:07:34 -0400 Subject: [PATCH 042/106] Change case of Safety --- app/routes/how-can-i-help.knowledge.tsx | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 7928cc50..feafdbf8 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -22,18 +22,22 @@ const NewToAISafety = () => ( links={[ { tag: 'Top recommendation', - title: "'Intro to AI Safety' micro-course", + title: "'Intro to AI safety' micro-course", + action: 'https://aisafety.info/questions/9OGZ/', + }, + { + title: "Intro to AI safety video playlist", action: 'https://aisafety.info/questions/9OGZ/', }, ]} > {/* TODO: add video */}

    - Our website’s “Intro to AI Safety” micro-course includes several short readings that act + Our website’s “Intro to AI safety” micro-course includes several short readings that act as a comprehensive introduction the topic of AI safety.

    - Our Intro to AI Safety video playlist illustrates many of the most important points about + Our Intro to AI safety video playlist illustrates many of the most important points about AI safety in a way that is entertaining and easy to understand.

    @@ -64,7 +68,7 @@ const Dropdowns = () => (

    TODO fill this

    {/* TODO: fix the double line */} - +

    TODO fill this
    From 994116ffe6a27cbc4e7437a5d4cd0ce739af389e Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 11:28:05 -0400 Subject: [PATCH 043/106] Melissa says "blend mode normal" --- app/components/icons-generated/GovermentBuilding.tsx | 2 +- app/components/icons-generated/Microscope.tsx | 4 ++-- app/components/icons-generated/PuzzlePieces.tsx | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/app/components/icons-generated/GovermentBuilding.tsx b/app/components/icons-generated/GovermentBuilding.tsx index 53b89ecb..f932e3ac 100644 --- a/app/components/icons-generated/GovermentBuilding.tsx +++ b/app/components/icons-generated/GovermentBuilding.tsx @@ -24,7 +24,7 @@ const SvgGovermentBuilding = (props: SVGProps) => ( fill="url(#goverment_building_svg__b)" d="M40 5a1 1 0 0 1 1-1h10.138a.5.5 0 0 1 .434.748l-1.289 2.256a1 1 0 0 0 0 .992l1.29 2.256a.5.5 0 0 1-.435.748H41a1 1 0 0 1-1-1z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> diff --git a/app/components/icons-generated/Microscope.tsx b/app/components/icons-generated/Microscope.tsx index 0656e6cd..c30ac748 100644 --- a/app/components/icons-generated/Microscope.tsx +++ b/app/components/icons-generated/Microscope.tsx @@ -5,7 +5,7 @@ const SvgMicroscope = (props: SVGProps) => ( fill="url(#microscope_svg__a)" d="M19 74a3 3 0 0 1 3-3h36a3 3 0 0 1 3 3v2a1 1 0 0 1-1 1H20a1 1 0 0 1-1-1z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> ) => ( d="m42.645 33.089 1.344 1.69a4.33 4.33 0 0 0 3.208 1.635l1.23.052a2.17 2.17 0 0 1 2.056 1.868l.164 1.15a12.08 12.08 0 0 1-2.66 9.405l-.272.33a2.17 2.17 0 0 1-2.95.372l-2.116-1.545a2 2 0 0 0-3.112 1.098l-3.269 12.2c-.565 2.11 1.054 4.165 3.175 3.686 8.37-1.892 15.598-8.653 18.113-18.04 3.06-11.416-1.862-22.956-11.218-27.908q-.004.24-.068.48z" clipRule="evenodd" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> ) => ( fill="url(#puzzle_pieces_svg__a)" d="M8 15.571A2.57 2.57 0 0 1 10.571 13H32.43A2.57 2.57 0 0 1 35 15.571V22h-2.571a4.5 4.5 0 1 0 0 9H35v6a3 3 0 0 0 3 3h21.429A2.57 2.57 0 0 1 62 42.571V64.43A2.57 2.57 0 0 1 59.429 67H10.57A2.57 2.57 0 0 1 8 64.429z" style={{ - mixBlendMode: 'multiply', + mixBlendMode: 'normal', }} /> Date: Fri, 25 Oct 2024 11:31:46 -0400 Subject: [PATCH 044/106] Lint --- app/routes/how-can-i-help.knowledge.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index feafdbf8..16d25843 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -26,7 +26,7 @@ const NewToAISafety = () => ( action: 'https://aisafety.info/questions/9OGZ/', }, { - title: "Intro to AI safety video playlist", + title: 'Intro to AI safety video playlist', action: 'https://aisafety.info/questions/9OGZ/', }, ]} From e3f76a8eefe5cc396bf1c9e553bbfbb875fc737c Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Fri, 25 Oct 2024 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+++++++++++++++++++++--- 1 file changed, 114 insertions(+), 14 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 16d25843..187ebbd7 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -26,12 +26,12 @@ const NewToAISafety = () => ( action: 'https://aisafety.info/questions/9OGZ/', }, { - title: 'Intro to AI safety video playlist', - action: 'https://aisafety.info/questions/9OGZ/', + title: "Intro to AI safety video playlist", + action: 'https://www.youtube.com/watch?v=fa8k8IQ1_X0&list=PLWQikawCP4UFM_ziLf9X2rcOLCSbqisRE&index=1&t=904s&ab_channel=Kurzgesagt%E2%80%93InaNutshell', }, ]} > - {/* TODO: add video */} + {/* TODO: add video png*/}

    Our website’s “Intro to AI safety” micro-course includes several short readings that act as a comprehensive introduction the topic of AI safety. @@ -50,8 +50,15 @@ const NewToAISafety = () => ( action: 'https://www.dwarkeshpatel.com/p/paul-christiano', }, ]} + additionalInfo={ + <> + Browse our{' '} + + full list of podcasts + + + } > - {/* TODO: add Browse full list */}

    We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in AI alignment and safety. The interview provides an introduction to AI risk and discusses many @@ -65,11 +72,90 @@ const NewToAISafety = () => ( const Dropdowns = () => (

    -

    TODO fill this

    + + Or, read our{' '} + + full list of AI safety book recommendations + + + } + > + We recommend the book "Uncontrollable," which concisely examines the risks posed by advanced AI. + The book highlights the need for effective AI governance and safety measures, and offers practical + solutions to ensure AI benefits society while minimizing risks. +     - {/* TODO: fix the double line */} - -

    TODO fill this

    + + + + We recommend the Youtube channel Robert Miles AI Safety, which presents complex AI safety concepts + in an accessible format to foster understanding and awareness about the ethical and safety considerations + in AI development. (Rob is also the founder of this site, AISafety.info) + + + + Or, browse our{' '} + + full list of podcasts + + + } + > + We recommend the 80,000 Hours Podcast, which explores a range of topics centered on existential risks + and high-impact altruism. Many episodes feature high-quality and easy-to-understand content on AI safety. + + + + We recommend the AI Safety Newsletter by the Center for AI Safety (CAIS), which offers curated updates on key AI safety developments. + It breaks down complex topics into simple segments that are accessible to both beginners and deep divers to AI safety. + + + + We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety and alignment. +
    ) @@ -96,7 +182,15 @@ const DiveDeeper = () => ( action: 'https://aisafetyfundamentals.com/alignment/', }, ]} - // TODO: add "full list of courses" + additionalInfo={ + <> + Or, browse our{' '} + + full list of courses + + + } + // TODO: fix additionalInfo appearing for each link >

    We recommend taking an online course if your interests have narrowed to a specific subset @@ -115,10 +209,9 @@ const DiveDeeper = () => (

    Note: If you take the AISF courses, consider exploring additional views on AI safety to help avoid homogeneity in the field, such as{' '} - + The Most Important Century blog post series - - .{/* TODO: fix bold on link */} + .

    Note: AISF courses do not accept all applicants, but we still recommend taking the @@ -155,8 +248,15 @@ const DiveDeeper = () => ( title: 'EAGx', action: 'https://www.effectivealtruism.org/ea-global', }, - // TODO: add "browse full list" ]} + additionalInfo={ + <> + Or, browse our{' '} + + full list of events + + + } >

    Events, typically conferences and talks, are often held in person and last one to three @@ -212,7 +312,7 @@ export default function Knowledge() { - {/* TODO: Boost your learning efforts */} + {/* TODO: Boost your learning efforts, Nemo's job */} ) } From 2af0a12454a8dc8cb3452d3220f08d89407d17d9 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Fri, 25 Oct 2024 19:46:43 -0400 Subject: [PATCH 047/106] Lint --- app/routes/how-can-i-help.knowledge.tsx | 87 ++++++++++++++----------- 1 file changed, 50 insertions(+), 37 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 187ebbd7..d155a21c 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -26,8 +26,9 @@ const NewToAISafety = () => ( action: 'https://aisafety.info/questions/9OGZ/', }, { - title: "Intro to AI safety video playlist", - action: 'https://www.youtube.com/watch?v=fa8k8IQ1_X0&list=PLWQikawCP4UFM_ziLf9X2rcOLCSbqisRE&index=1&t=904s&ab_channel=Kurzgesagt%E2%80%93InaNutshell', + title: 'Intro to AI safety video playlist', + action: + 'https://www.youtube.com/watch?v=fa8k8IQ1_X0&list=PLWQikawCP4UFM_ziLf9X2rcOLCSbqisRE&index=1&t=904s&ab_channel=Kurzgesagt%E2%80%93InaNutshell', }, ]} > @@ -72,31 +73,32 @@ const NewToAISafety = () => ( const Dropdowns = () => (

    - - Or, read our{' '} - - full list of AI safety book recommendations - - - } - > - We recommend the book "Uncontrollable," which concisely examines the risks posed by advanced AI. - The book highlights the need for effective AI governance and safety measures, and offers practical - solutions to ensure AI benefits society while minimizing risks. - + + Or, read our{' '} + + full list of AI safety book recommendations + + + } + > + We recommend the book "Uncontrollable," which concisely examines the risks posed by advanced + AI. The book highlights the need for effective AI governance and safety measures, and offers + practical solutions to ensure AI benefits society while minimizing risks. + - ( }, ]} > - We recommend the Youtube channel Robert Miles AI Safety, which presents complex AI safety concepts - in an accessible format to foster understanding and awareness about the ethical and safety considerations - in AI development. (Rob is also the founder of this site, AISafety.info) + We recommend the Youtube channel Robert Miles AI Safety, which presents complex AI safety + concepts in an accessible format to foster understanding and awareness about the ethical and + safety considerations in AI development. (Rob is also the founder of this site, + AISafety.info) - ( } > - We recommend the 80,000 Hours Podcast, which explores a range of topics centered on existential risks - and high-impact altruism. Many episodes feature high-quality and easy-to-understand content on AI safety. + We recommend the 80,000 Hours Podcast, which explores a range of topics centered on + existential risks and high-impact altruism. Many episodes feature high-quality and + easy-to-understand content on AI safety. - ( }, ]} > - We recommend the AI Safety Newsletter by the Center for AI Safety (CAIS), which offers curated updates on key AI safety developments. - It breaks down complex topics into simple segments that are accessible to both beginners and deep divers to AI safety. + We recommend the AI Safety Newsletter by the Center for AI Safety (CAIS), which offers + curated updates on key AI safety developments. It breaks down complex topics into simple + segments that are accessible to both beginners and deep divers to AI safety. - ( // TODO: what's the link for agi safety core? I never heard of them ]} > - We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety and alignment. + We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety + and alignment.
    @@ -209,9 +218,13 @@ const DiveDeeper = () => (

    Note: If you take the AISF courses, consider exploring additional views on AI safety to help avoid homogeneity in the field, such as{' '} - + The Most Important Century blog post series - . + + .

    Note: AISF courses do not accept all applicants, but we still recommend taking the From 7e8d9ad3f230b843a2fecb6a038dcbcd1a064e71 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Sat, 26 Oct 2024 15:52:38 +0200 Subject: [PATCH 048/106] Add image key to LinkItems --- app/components/DropDown/dropdown.css | 4 ++++ app/components/DropDown/index.tsx | 2 +- app/components/LinkCard/index.tsx | 10 +++++++--- app/components/icons-generated/Play.tsx | 12 ++++++++++++ app/components/icons-generated/index.ts | 1 + app/routes/how-can-i-help.knowledge.tsx | 15 ++++++++++++++- 6 files changed, 39 insertions(+), 5 deletions(-) create mode 100644 app/components/icons-generated/Play.tsx diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css index d058ec64..c3cd0452 100644 --- a/app/components/DropDown/dropdown.css +++ b/app/components/DropDown/dropdown.css @@ -3,6 +3,10 @@ border-bottom: 1px solid var(--colors-teal-200); } +.drop-down:not(:last-of-type) { + border-bottom: none; +} + .drop-down-header { display: flex; justify-content: space-between; diff --git a/app/components/DropDown/index.tsx b/app/components/DropDown/index.tsx index 4d613966..8c73bc18 100644 --- a/app/components/DropDown/index.tsx +++ b/app/components/DropDown/index.tsx @@ -1,6 +1,6 @@ import {ReactNode, useState} from 'react' +import {ChevronRight} from '~/components/icons-generated' import './dropdown.css' -import {ChevronRight} from '../icons-generated' interface DropDownProps { title: string diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index 57adb566..2bb18e49 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -1,10 +1,11 @@ -import React from 'react' +import React, {ReactNode} from 'react' import {ArrowUpRight} from '~/components/icons-generated' import Button from '~/components/Button' import './linkcard.css' export type Link = { title: string + image?: ReactNode tag?: string action?: string } @@ -13,10 +14,13 @@ export type LinkCardProps = Link & { className?: string } -const LinkCard: React.FC = ({title, tag, action, className}) => ( +const LinkCard: React.FC = ({title, image, tag, action, className}) => ( ) diff --git a/app/components/icons-generated/Play.tsx b/app/components/icons-generated/Play.tsx new file mode 100644 index 00000000..86c0b851 --- /dev/null +++ b/app/components/icons-generated/Play.tsx @@ -0,0 +1,12 @@ +import type {SVGProps} from 'react' +const SvgPlay = (props: SVGProps) => ( + + + +) +export default SvgPlay diff --git a/app/components/icons-generated/index.ts b/app/components/icons-generated/index.ts index 16b173a9..3872eab6 100644 --- a/app/components/icons-generated/index.ts +++ b/app/components/icons-generated/index.ts @@ -53,6 +53,7 @@ export {default as PersonInCircle} from './PersonInCircle' export {default as Person} from './Person' export {default as PiggyBank} from './PiggyBank' export {default as PlaneSend} from './PlaneSend' +export {default as Play} from './Play' export {default as PuzzlePieces} from './PuzzlePieces' export {default as QuestionMark} from './QuestionMark' export {default as Search} from './Search' diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 16d25843..64d62758 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -4,6 +4,8 @@ import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' +import VideoImg from '~/assets/video_thumbnail.png' +import PlayIcon from '~/components/icons-generated/Play' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -28,6 +30,18 @@ const NewToAISafety = () => ( { title: 'Intro to AI safety video playlist', action: 'https://aisafety.info/questions/9OGZ/', + image: ( +

    + video-playlist + +
    + ), }, ]} > @@ -67,7 +81,6 @@ const Dropdowns = () => (

    TODO fill this

     - {/* TODO: fix the double line */}

    TODO fill this

     From 5ce418c7efe6749f56c3f4d01745cbd4a71e1419 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Sat, 26 Oct 2024 11:46:48 -0300 Subject: [PATCH 049/106] cleaning up --- app/routes/how-can-i-help.grassroots.tsx | 1 + 1 file changed, 1 insertion(+) diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 51f520cf..7da07c24 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -48,6 +48,7 @@ const WhatYouCanDo = () => ( tag: 'Top recommendation', title: 'A.I. - Humanity\'s Final Invention?', action: 'https://youtu.be/fa8k8IQ1_X0?si=b2l0Ex6KQvt6JyQD', + image: '', }, ]} additionalInfo={ From c8357aca17596fc9c68222fa4803c7535dc14421 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Sat, 26 Oct 2024 12:07:07 -0300 Subject: [PATCH 050/106] video thumbnail --- app/root.css | 27 ++++++++++++++++++++++++ app/routes/how-can-i-help.grassroots.tsx | 15 ++++++++++++- 2 files changed, 41 insertions(+), 1 deletion(-) diff --git a/app/root.css b/app/root.css index bed8f591..ade69bde 100644 --- a/app/root.css +++ b/app/root.css @@ -844,3 +844,30 @@ button { } /* end mobile */ +.video-thumbnail-wrapper { + position: relative; +} + +.video-thumbnail-container { + position: relative; +} + +.play-icon { + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); +} + +.top-recommendation-tag { + position: absolute; + top: 10px; + left: 10px; + background-color: #f0f9f8; + color: #008080; + padding: 4px 8px; + border-radius: 4px; + font-size: 12px; + font-weight: bold; + z-index: 1; +} \ No newline at end of file diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 7da07c24..08796a86 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -7,6 +7,8 @@ import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' +import VideoImg from '~/assets/video_thumbnail.png' +import PlayIcon from '~/components/icons-generated/Play' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -48,7 +50,18 @@ const WhatYouCanDo = () => ( tag: 'Top recommendation', title: 'A.I. - Humanity\'s Final Invention?', action: 'https://youtu.be/fa8k8IQ1_X0?si=b2l0Ex6KQvt6JyQD', - image: '', + image: ( +
    + video-playlist + +
    + ) }, ]} additionalInfo={ From 86e253f732f87e2f2803d873f5bb2ae5954b8cd0 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Sat, 26 Oct 2024 14:25:05 -0300 Subject: [PATCH 051/106] Add Lons image --- app/assets/Lons.jpg | Bin 0 -> 93441 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 app/assets/Lons.jpg diff --git a/app/assets/Lons.jpg b/app/assets/Lons.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f9ac1c8edc9a7713fe1ca57a4f42023acb8944d0 GIT binary patch literal 93441 zcmbTdbyQnT)HizYLXqO`?!{e-Q`{v;afd>1Z*g~bC{A$q;u_p3P=Z^F7h2%*yx+UN zb??7-pRARvGqY{ZmQ3cCm(`aY;N3?#ML7Tt4gla@FW}`Fpp@;bBt{;^Pxi z(2$do)3DIfv+#2B%E%bO{a=2>|9=8r1_10g2*$4$91Q@E4TpdY_c8>Ky*hye_n$BS zm*5c)k&xj~-n^^>Z~o7~LpSE<*I|Sn;PoBHeFywC835=IasjxlU^>Cn=5-+~{vrNb zkWK1t*H$ooA?km!)X5IL0Wv`p!Pn2I2$3RlRP4}TD%>I7dF;Fp3i7(*nUjpIJYiG_ zLic~ue@W*8JD&lee&CntXGC(rFtQzlm?KwFHJ_0jhtwO$2QQxzaP?7J8W=c}?-`QePy~@IU=G6#!5~pa9tp056G< zyF;d)c!(t26eZ=i0BNJ(_vPj15QBH?Y$3<|4gWvFF@FPaR6rsC90EAtU^JnA1@_^~ zH;4Fh?9IdEp!cONzjRA_kN`NtSHb@gIQT!86%rN5jyQ97=m>V_*M*kcrB!qf*Fqt! zMN1x%Xu$uG3;;j-4yDPj&iLM|9Bl=sew*}r{&@>MDd23Jrw?YlnB7ox$D_#33dxkvZY~r)*EK%TxhK6kIWW! z!gL>b(h^HdT=qMbm|pcJvJQP&=*DEG0^n6|X;QYXgXyEuuRQpZt=8^3aEN`i(@Bzy zk+R1E!dBHCd3C9`a(C^olgvKekY;GJ76NEH;M_0$z;VB(B!GC|z4I+k@N-;NVb-^$ zErmR)(|}(_b`d2sh%78eah_~UY};F%B@t!^h2IZgnx$;|Ufnz7f~c$y(EB_9GZ#S2 zJCOtsVy$gU?FGDCL}oqgrP4P%vq6=~y|X8wfZH z0eDFOA~Jg@3CF1V$_@v0>tf%4Y!?X-e5cS8f2_;?Uk?>#-yb>FW)kqRj_G+9|JUDJ? 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Subject: [PATCH 053/106] Implement new feature --- app/root.css | 27 ----- app/routes/how-can-i-help.volunteer.tsx | 147 +++++++++++++++++++++++- 2 files changed, 145 insertions(+), 29 deletions(-) diff --git a/app/root.css b/app/root.css index ade69bde..bed8f591 100644 --- a/app/root.css +++ b/app/root.css @@ -844,30 +844,3 @@ button { } /* end mobile */ -.video-thumbnail-wrapper { - position: relative; -} - -.video-thumbnail-container { - position: relative; -} - -.play-icon { - position: absolute; - top: 50%; - left: 50%; - transform: translate(-50%, -50%); -} - -.top-recommendation-tag { - position: absolute; - top: 10px; - left: 10px; - background-color: #f0f9f8; - color: #008080; - padding: 4px 8px; - border-radius: 4px; - font-size: 12px; - font-weight: bold; - z-index: 1; -} \ No newline at end of file diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 1bc73101..ab26b961 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -1,14 +1,157 @@ import {MetaFunction} from '@remix-run/node' +import CardSmall from '~/components/CardSmall' +import DropDown from '~/components/DropDown' +import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' +import HelpItem from '~/components/HowCanIHelp/HelpItem' +import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' +import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' +import {useEffect} from 'react' +import VideoImg from '~/assets/video_thumbnail.png' +import PlayIcon from '~/components/icons-generated/Play' +import BaginskiImg from '~/assets/Baginski.jpeg' +import LonsImg from '~/assets/Lons.jpg' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] } +const TopText = () => ( + <> +
      +
      +
      +

      Who

      +

      + Pretty much any skill set can be adapted to a volunteer role. Some commonly sought-after skills include technical expertise (such as math and code), communications, project management, and general organizing. +

      +
      +
      +

      Why this is important

      +

      + Volunteering, especially in areas of field-building and movement-building, supports efforts that are important but bottlenecked by AI safety’s funding shortage – such as AISafety.com and AI Safety Quest. +

      +
      +
      +
      + +) + +const Dropdowns = () => ( +
      + +
      +

      About 90% of volunteer work is online, and involves field-building through communication, advocacy, or software development; providing feedback on research; or building or organizing online groups. In-person volunteer work would entail organizing meetups, protests, or retreats.

      +
      +       + +
      +

      Typically volunteers commit up to several hours a week for at least a few months. However, volunteers that accomplished one 15 minute task a week, consistently, have also been very helpful. What’s most important is that you understand how much you are able to commit upfront, and follow through with that commitment.

      +
      +       +
      +) + + +const Options = () => ( + <> +

      + Options for getting started +

      +       + +
      + + +
      + +
      + Our articles on volunteering} + category="NM18" + /> +
      + +) + export default function Volunteer() { + useEffect(() => { + document.documentElement.style.scrollBehavior = 'smooth' + return () => { + document.documentElement.style.scrollBehavior = 'auto' + } + }, []) return ( - -
      fill me out, please
      + Volunteer} subpage="volunteer"> + + + + + + + ) } From a3624876168b35d949fc36b592e8308922d83f29 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Sat, 26 Oct 2024 20:09:45 +0200 Subject: [PATCH 054/106] overrides for footer --- app/components/HowCanIHelp/Base.tsx | 11 +- app/components/HowCanIHelp/HelpMethods.tsx | 123 ++++++++++++++++----- app/routes/how-can-i-help.career.tsx | 2 +- app/routes/how-can-i-help.community.tsx | 2 +- app/routes/how-can-i-help.donate.tsx | 2 +- app/routes/how-can-i-help.grassroots.tsx | 2 +- app/routes/how-can-i-help.knowledge.tsx | 2 +- app/routes/how-can-i-help.volunteer.tsx | 2 +- 8 files changed, 109 insertions(+), 37 deletions(-) diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index 2482d87c..155c4089 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -1,15 +1,14 @@ import {Link} from '@remix-run/react' import Page from '~/components/Page' -import HelpMethods from '~/components/HowCanIHelp/HelpMethods' -import {HelpPage, helpUrl} from '~/routesMapper' +import HelpMethods, {HelpMethodsProps} from '~/components/HowCanIHelp/HelpMethods' +import {helpUrl} from '~/routesMapper' import {ReactNode} from 'react' type BaseProps = { title: string - subpage: HelpPage children: ReactNode -} -export default function Base({title, subpage, children}: BaseProps) { +} & HelpMethodsProps +export default function Base({title, current, children, ...props}: BaseProps) { return (
      @@ -22,7 +21,7 @@ export default function Base({title, subpage, children}: BaseProps) { {children} - +
      + +

      Get personalized volunteering advice in a thirty minute or one hour video call. We recommend booking both!

      +       + + + Or, learn more about AED on{' '} +       + their website + + + } + > +

      Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI safety field-building projects like AISafety.com and AISafety Quest. Join an existing project or pitch your own and recruit help.

      + + + +

      Browse our list of online AI safety field-building projects. Email the contact person expressing your interest.

      +       + +

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    diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index aa6a4b55..190c5887 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -1,3 +1,4 @@ +import {ReactNode} from 'react' import Card from '~/components/Card' import CardSmall from '~/components/CardSmall' import {HelpPage, helpUrl} from '~/routesMapper' @@ -8,39 +9,111 @@ import {Megaphone} from '~/components/icons-generated' import {PiggyBank} from '~/components/icons-generated' import {Hand} from '~/components/icons-generated' -type HelpMethodsProps = { +const titles = { + career: ( +
    + Multiply your impact: +
    + Support your career pursuit +
    + ), + grassroots: ( +
    + Multiply your positive impact: +
    + Support your advocacy efforts +
    + ), + donate: ( +
    + Multiply your postive impact: +
    + Support your donation efforts +
    + ), + volunteer: ( +
    + Multiply your positive impact: +
    + Support your volunteer efforts +
    + ), + knowledge: ( +
    + Boost your learning efforts: +
    + Join a community +
    + ), + community: ( +
    + Boost your efforts: +
    + Learn more about AI safety +
    + ), +} + +const knowledgeDescriptions = { + donate: 'The more you know about this topic, the further your donation efforts will go', +} + +const communityDescriptions = { + donate: + 'Connecting with other advocates online or in person will help guide donation decisions, and can be motivating', +} + +const KnowledgeCard = ({current}: {current?: HelpPage}) => { + if (current == 'knowledge') return null + const defaultDescription = + 'Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field' + return ( + + ) +} + +const CommunityCard = ({current}: {current?: string}) => { + if (current === 'community') return null + const defaultDescription = + 'Connecting with others online or in person will help you navigate the transition to a career in AI safety' + return ( + + ) +} + +export type HelpMethodsProps = { current?: HelpPage - header?: string - subheader?: string + footerTitle?: ReactNode + footerSubheader?: ReactNode } const HelpMethods = ({ current, - header = 'Multiply your impact: Support your career pursuit', - subheader = 'Or, explore more ways to help directly', + footerTitle, + footerSubheader = 'Or, explore more ways to help directly', }: HelpMethodsProps) => (
    -

    {header}

    +

    {footerTitle || (current && titles[current])}

    - {current !== 'knowledge' && ( - - )} - {current !== 'community' && ( - - )} + +
    -

    {subheader}

    +

    {footerSubheader}

    {current !== 'career' && ( + diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 07d78217..c486e813 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -7,7 +7,7 @@ export const meta: MetaFunction = () => { export default function Community() { return ( - +
    fill me out, please
    ) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index ec5c440c..6e77bed4 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -10,7 +10,7 @@ export const meta: MetaFunction = () => { export default function Donate() { return ( - +
    diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 681943c4..f5f84597 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -7,7 +7,7 @@ export const meta: MetaFunction = () => { export default function Grassroots() { return ( - +
    fill me out, please
    ) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 64d62758..4d73d5da 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -216,7 +216,7 @@ export default function Knowledge() { } }, []) return ( - + diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 1bc73101..8bb0b3c4 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -7,7 +7,7 @@ export const meta: MetaFunction = () => { export default function Volunteer() { return ( - +
    fill me out, please
    ) From 9aad2988a18da97abdb99e3dfdd943d231367741 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Sat, 26 Oct 2024 20:17:40 +0200 Subject: [PATCH 055/106] update footer --- app/components/Card/index.tsx | 24 ++++++++++++++++++---- app/components/HowCanIHelp/HelpMethods.tsx | 2 ++ 2 files changed, 22 insertions(+), 4 deletions(-) diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index 62a00589..17564bc0 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -1,17 +1,27 @@ -import {SVGProps} from 'react' -import Button from '../Button' +import {ReactNode, SVGProps} from 'react' +import Button from '~/components/Button' +import {ArrowRight} from '~/components/icons-generated' import './card.css' interface CardProps { title: string - description: string + description: ReactNode impact?: string icon: (props: SVGProps) => JSX.Element action: string + actionDesc?: string className?: string } -export default function Card({title, description, impact, icon, action, className}: CardProps) { +export default function Card({ + title, + description, + impact, + icon, + action, + actionDesc, + className, +}: CardProps) { className = `card bordered ${className}` return ( @@ -20,6 +30,12 @@ export default function Card({title, description, impact, icon, action, classNam

    {title}

    {description}

    + {actionDesc && ( +

    + {actionDesc} + +

    + )} {impact &&

    {impact}

    }
    diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 190c5887..dfe4ba50 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -70,6 +70,7 @@ const KnowledgeCard = ({current}: {current?: HelpPage}) => { return ( { return ( Date: Sat, 26 Oct 2024 18:28:36 -0300 Subject: [PATCH 056/106] v1 done --- app/routes/how-can-i-help.volunteer.tsx | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index ab26b961..8cae76e8 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -72,7 +72,13 @@ const Options = () => ( }, ]} > +

    Get personalized volunteering advice in a thirty minute or one hour video call. We recommend booking both!

    +
    + Note: + 80,000 Hours does not accept all applicants +
    +
    ( Date: Sat, 26 Oct 2024 19:19:33 -0300 Subject: [PATCH 057/106] videothumbnail component --- .../VideoThumbnail/videothumbnail.tsx | 28 ++++++++++++++++++ app/root.css | 29 +------------------ app/routes/how-can-i-help.grassroots.tsx | 15 ++++------ 3 files changed, 34 insertions(+), 38 deletions(-) create mode 100644 app/components/VideoThumbnail/videothumbnail.tsx diff --git a/app/components/VideoThumbnail/videothumbnail.tsx b/app/components/VideoThumbnail/videothumbnail.tsx new file mode 100644 index 00000000..b37a33de --- /dev/null +++ b/app/components/VideoThumbnail/videothumbnail.tsx @@ -0,0 +1,28 @@ +import React from 'react'; +import PlayIcon from '~/components/icons-generated/Play'; + +interface VideoThumbnailProps { + imageUrl: string; + altText: string; + tag?: string; +} + +const VideoThumbnail: React.FC = ({ imageUrl, altText, tag }) => { + return ( +
    + {tag && ( + + {tag} + + )} +
    + {altText} +
    + +
    +
    +
    + ); +}; + +export default VideoThumbnail; diff --git a/app/root.css b/app/root.css index ade69bde..a7ed9330 100644 --- a/app/root.css +++ b/app/root.css @@ -843,31 +843,4 @@ button { } } -/* end mobile */ -.video-thumbnail-wrapper { - position: relative; -} - -.video-thumbnail-container { - position: relative; -} - -.play-icon { - position: absolute; - top: 50%; - left: 50%; - transform: translate(-50%, -50%); -} - -.top-recommendation-tag { - position: absolute; - top: 10px; - left: 10px; - background-color: #f0f9f8; - color: #008080; - padding: 4px 8px; - border-radius: 4px; - font-size: 12px; - font-weight: bold; - z-index: 1; -} \ No newline at end of file +/* end mobile */ \ No newline at end of file diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 08796a86..d4c8d545 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -9,6 +9,7 @@ import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' import VideoImg from '~/assets/video_thumbnail.png' import PlayIcon from '~/components/icons-generated/Play' +import VideoThumbnail from '~/components/VideoThumbnail/videothumbnail'; export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -51,16 +52,10 @@ const WhatYouCanDo = () => ( title: 'A.I. - Humanity\'s Final Invention?', action: 'https://youtu.be/fa8k8IQ1_X0?si=b2l0Ex6KQvt6JyQD', image: ( -
    - video-playlist - -
    + ) }, ]} From e3949ee770f2fe0f78f8bf0db5c8431a38cb84e1 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Sat, 26 Oct 2024 19:28:40 -0300 Subject: [PATCH 058/106] made component --- app/root.css | 52 +++++++++++++++++++++++++++++++++++++++++++++++++++- 1 file changed, 51 insertions(+), 1 deletion(-) diff --git a/app/root.css b/app/root.css index a7ed9330..f69fd15e 100644 --- a/app/root.css +++ b/app/root.css @@ -843,4 +843,54 @@ button { } } -/* end mobile */ \ No newline at end of file +/* end mobile */ + +/* Add this at the end of your root.css file */ + +.video-thumbnail { + position: relative; + border-radius: 8px; + overflow: hidden; + box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); +} + +.video-thumbnail__image-container { + position: relative; +} + +.video-thumbnail__image { + width: 100%; + height: auto; + display: block; +} + +.video-thumbnail__overlay { + position: absolute; + inset: 0; + display: flex; + align-items: center; + justify-content: center; + background-color: rgba(0, 0, 0, 0.3); +} + +.video-thumbnail__play-icon { + color: white; + width: 48px; + height: 48px; + position: absolute; + top: 38%; + left: 38%; +} + +.video-thumbnail__tag { + position: absolute; + top: 8px; + left: 8px; + background-color: var(--colors-teal-50); + color: var(--colors-teal-500); + padding: 4px 8px; + border-radius: 4px; + font-size: 12px; + font-weight: bold; + z-index: 10; +} From b6c6086f436721f15e14f8cc96fcea06eb85f800 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 27 Oct 2024 20:21:23 -0400 Subject: [PATCH 059/106] Update AGI Safety core link --- app/routes/how-can-i-help.knowledge.tsx | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index ddf2514e..456760fb 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -170,9 +170,8 @@ const Dropdowns = () => ( { tag: 'Top recommendation', title: 'AGI Safety Core', - action: 'https://zombo.com/', + action: 'https://x.com/i/lists/1185207859728076800', }, - // TODO: what's the link for agi safety core? I never heard of them ]} > We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety From 2141ad70b3cffba0bbbab64b19ca411f285b3008 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 27 Oct 2024 20:28:52 -0400 Subject: [PATCH 060/106] Remove TODO --- app/routes/how-can-i-help.knowledge.tsx | 1 - 1 file changed, 1 deletion(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 456760fb..f81e8647 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -45,7 +45,6 @@ const NewToAISafety = () => ( }, ]} > - {/* TODO: add video png*/}

    Our website’s “Intro to AI safety” micro-course includes several short readings that act as a comprehensive introduction the topic of AI safety. From 7d1341486bdb88053b044fa11477695a7b4a5e8f Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Mon, 28 Oct 2024 00:59:34 -0400 Subject: [PATCH 061/106] Update after merge --- app/routes/how-can-i-help.community.tsx | 135 +++++++++++++++++++++++- 1 file changed, 134 insertions(+), 1 deletion(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index c486e813..d6f502e0 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -1,14 +1,147 @@ import {MetaFunction} from '@remix-run/node' +import DropDown from '~/components/DropDown' +import HelpItem from '~/components/HowCanIHelp/HelpItem' +import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Base from '~/components/HowCanIHelp/Base' +import {useEffect} from 'react' +import VideoImg from '~/assets/video_thumbnail.png' +import PlayIcon from '~/components/icons-generated/Play' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] } +const InPerson = () => ( + <> +

    +
    +

    + In person communities +

    +

    + In person communities provide general purpose support, networking, and socializing for + anyone interested in contributing to AI safety. +

    + {/* TODO make this only appear in left part of page */} +
    + +

    + There are about 60 in-person AI Safety communities across the globe, mostly in major + cities. These communities typically host weekly meetups in which members network, + socialize, or review AI safety material in the form of talks or workshops. +

    +     + +

    + AI Safety is a major topic in Effective Altruism (EA) and Rationalism. Consider joining a + local EA or Rationalist group if you can't find an AI Safety community near you. +

    +     +
    + +) + +const Online = () => ( + <> +
    +
    +

    + Online communities +

    +

    + Online communities typically exist on Slack, Discord (an app like Slack), or website + forums, and tend to serve more specific purposes: +

    + {/* TODO make this only appear in left part of page */} +
    + + Or, browse our{' '} + + full list of communities + + + } + > +

    + General hubs for support, motivation, discussion, and information-gathering. +

    +     + + +

    + Such as volunteering for a certain project or organizing and attending protests. +

    + {/* TODO there seems to be lacking text or a link in the figma */} +     + + +

    + Deep strategic and technical discussions regarding AI alignment and AI governance. +

    +     +
    + +) + + + + export default function Community() { + useEffect(() => { + document.documentElement.style.scrollBehavior = 'smooth' + return () => { + document.documentElement.style.scrollBehavior = 'auto' + } + }, []) return ( -
    fill me out, please
    + + + ) } + From 8e7e882098df637b938972b0b984dd50839d21ce Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Mon, 28 Oct 2024 01:00:58 -0400 Subject: [PATCH 062/106] Prettyfied --- app/routes/how-can-i-help.community.tsx | 24 +++++++++--------------- 1 file changed, 9 insertions(+), 15 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index d6f502e0..a0d39d00 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -28,7 +28,7 @@ const InPerson = () => ( title="AI safety-specific coommunities" links={[ { - title: "Our list of in-person communities", + title: 'Our list of in-person communities', action: 'https://www.aisafety.com/communities', }, ]} @@ -43,7 +43,7 @@ const InPerson = () => ( title="Related communities" links={[ { - title: "EA groups map", + title: 'EA groups map', action: 'https://forum.effectivealtruism.org/groups', }, { @@ -51,7 +51,6 @@ const InPerson = () => ( action: 'https://www.lesswrong.com/community', }, ]} - >

    AI Safety is a major topic in Effective Altruism (EA) and Rationalism. Consider joining a @@ -67,7 +66,7 @@ const Online = () => (

    - Online communities + Online communities

    Online communities typically exist on Slack, Discord (an app like Slack), or website @@ -80,8 +79,9 @@ const Online = () => ( links={[ { tag: 'Top recommendation', - title: "AI alignment slack", - action: 'https://ai-alignment.slack.com/join/shared_invite/zt-1vd2yu4ib-3dLG4D82H7eXF_THvTdUKg#/shared-invite/email', + title: 'AI alignment slack', + action: + 'https://ai-alignment.slack.com/join/shared_invite/zt-1vd2yu4ib-3dLG4D82H7eXF_THvTdUKg#/shared-invite/email', }, ]} additionalInfo={ @@ -98,9 +98,7 @@ const Online = () => (

    - +

    Such as volunteering for a certain project or organizing and attending protests.

    @@ -112,7 +110,7 @@ const Online = () => ( links={[ { tag: 'Top recommendation', - title: "Lesswrong", + title: 'Lesswrong', action: 'https://www.lesswrong.com/', }, // TODO: do we want to link to a specific tag here? @@ -126,9 +124,6 @@ const Online = () => ( ) - - - export default function Community() { useEffect(() => { document.documentElement.style.scrollBehavior = 'smooth' @@ -139,9 +134,8 @@ export default function Community() { return ( - + ) } - From cf7373c99ff9d2c95926fb6862b5370b99ff12be Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Mon, 28 Oct 2024 14:52:06 -0300 Subject: [PATCH 063/106] trying to fix lint --- app/components/HowCanIHelp/Base.tsx | 3 +- .../HowCanIHelp/CatgoryCarousel.tsx | 7 +- package-lock.json | 9520 +++++++++++------ 3 files changed, 6392 insertions(+), 3138 deletions(-) diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index 155c4089..ab3e7dbe 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -5,9 +5,10 @@ import {helpUrl} from '~/routesMapper' import {ReactNode} from 'react' type BaseProps = { - title: string + title: string | ReactNode children: ReactNode } & HelpMethodsProps + export default function Base({title, current, children, ...props}: BaseProps) { return ( diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx index beca068e..a63a88a4 100644 --- a/app/components/HowCanIHelp/CatgoryCarousel.tsx +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -8,7 +8,12 @@ import './category-carousel.css' const PER_BOX = 320 -const CategoryCarousel = ({title, category}: {title: string; category: PageId}) => { +interface CategoryCarouselProps { + title: React.ReactNode; + category: PageId; +} + +const CategoryCarousel = ({title, category}: CategoryCarouselProps) => { const componentRef = useRef(null) const [shown, setShown] = useState(0) const [offset, setOffset] = useState(0) diff --git a/package-lock.json b/package-lock.json index 81bcacab..7e709110 100644 --- a/package-lock.json +++ b/package-lock.json @@ -94,6 +94,7 @@ "resolved": "https://registry.npmjs.org/@aw-web-design/x-default-browser/-/x-default-browser-1.4.126.tgz", "integrity": "sha512-Xk1sIhyNC/esHGGVjL/niHLowM0csl/kFO5uawBy4IrWwy0o1G8LGt3jP6nmWGz+USxeeqbihAmp/oVZju6wug==", "dev": true, + "license": "MIT", "dependencies": { "default-browser-id": "3.0.0" }, @@ -102,12 +103,14 @@ } }, "node_modules/@babel/code-frame": { - "version": "7.24.7", - "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.24.7.tgz", - "integrity": "sha512-BcYH1CVJBO9tvyIZ2jVeXgSIMvGZ2FDRvDdOIVQyuklNKSsx+eppDEBq/g47Ayw+RqNFE+URvOShmf+f/qwAlA==", + "version": "7.26.0", + "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.0.tgz", + "integrity": "sha512-INCKxTtbXtcNbUZ3YXutwMpEleqttcswhAdee7dhuoVrD2cnuc3PqtERBtxkX5nziX9vnBL8WXmSGwv8CuPV6g==", "dev": true, + "license": "MIT", "dependencies": { - "@babel/highlight": "^7.24.7", + "@babel/helper-validator-identifier": "^7.25.9", + "js-tokens": "^4.0.0", "picocolors": "^1.0.0" }, "engines": { @@ -115,10 +118,11 @@ } }, "node_modules/@babel/compat-data": { - "version": "7.24.7", - "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.24.7.tgz", - "integrity": "sha512-qJzAIcv03PyaWqxRgO4mSU3lihncDT296vnyuE2O8uA4w3UHWI4S3hgeZd1L8W1Bft40w9JxJ2b412iDUFFRhw==", + "version": "7.26.0", + "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.26.0.tgz", + "integrity": "sha512-qETICbZSLe7uXv9VE8T/RWOdIE5qqyTucOt4zLYMafj2MRO271VGgLd4RACJMeBO37UPWhXiKMBk7YlJ0fOzQA==", "dev": true, + "license": "MIT", "engines": { "node": ">=6.9.0" } @@ -163,66 +167,59 @@ } }, "node_modules/@babel/generator": { - "version": "7.24.7", - "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.24.7.tgz", - "integrity": 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"https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.25.9.tgz", + "integrity": "sha512-j9Db8Suy6yV/VHa4qzrj9yZfZxhLWQdVnRlXxmKLYlhWUVB1sB2G5sxuWYXk/whHD9iW76PmNzxZ4UCnTQTVEQ==", "dev": true, + "license": "MIT", "dependencies": { - "@babel/compat-data": "^7.24.7", - "@babel/helper-validator-option": "^7.24.7", - "browserslist": "^4.22.2", + "@babel/compat-data": "^7.25.9", + "@babel/helper-validator-option": "^7.25.9", + "browserslist": "^4.24.0", "lru-cache": "^5.1.1", "semver": "^6.3.1" }, @@ -240,19 +237,18 @@ } }, "node_modules/@babel/helper-create-class-features-plugin": { - "version": "7.24.7", - "resolved": "https://registry.npmjs.org/@babel/helper-create-class-features-plugin/-/helper-create-class-features-plugin-7.24.7.tgz", - "integrity": "sha512-kTkaDl7c9vO80zeX1rJxnuRpEsD5tA81yh11X1gQo+PhSti3JS+7qeZo9U4RHobKRiFPKaGK3svUAeb8D0Q7eg==", + "version": "7.25.9", + "resolved": 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-6922,7 +7028,7 @@ "node": ">=12" } }, - "node_modules/@storybook/core-common/node_modules/@esbuild/linux-mips64el": { + "node_modules/@storybook/cli/node_modules/@esbuild/linux-mips64el": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.18.20.tgz", "integrity": "sha512-d5NeaXZcHp8PzYy5VnXV3VSd2D328Zb+9dEq5HE6bw6+N86JVPExrA6O68OPwobntbNJ0pzCpUFZTo3w0GyetQ==", @@ -6930,6 +7036,7 @@ "mips64el" ], "dev": true, + "license": "MIT", "optional": true, "os": [ "linux" @@ -6938,7 +7045,7 @@ "node": ">=12" } }, - "node_modules/@storybook/core-common/node_modules/@esbuild/linux-ppc64": { + "node_modules/@storybook/cli/node_modules/@esbuild/linux-ppc64": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.18.20.tgz", "integrity": "sha512-WHPyeScRNcmANnLQkq6AfyXRFr5D6N2sKgkFo2FqguP44Nw2eyDlbTdZwd9GYk98DZG9QItIiTlFLHJHjxP3FA==", @@ -6946,6 +7053,7 @@ "ppc64" ], "dev": true, + "license": "MIT", 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"to-regex-range": { "version": "5.0.1", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", @@ -40635,9 +43881,9 @@ } }, "turbo-stream": { - "version": "2.2.0", - "resolved": "https://registry.npmjs.org/turbo-stream/-/turbo-stream-2.2.0.tgz", - "integrity": "sha512-FKFg7A0To1VU4CH9YmSMON5QphK0BXjSoiC7D9yMh+mEEbXLUP9qJ4hEt1qcjKtzncs1OpcnjZO8NgrlVbZH+g==" + "version": "2.4.0", + "resolved": "https://registry.npmjs.org/turbo-stream/-/turbo-stream-2.4.0.tgz", + "integrity": "sha512-FHncC10WpBd2eOmGwpmQsWLDoK4cqsA/UT/GqNoaKOQnT8uzhtCbg3EoUDMvqpOSAI0S26mr0rkjzbOO6S3v1g==" }, "tween-functions": { "version": "1.2.0", @@ -40746,9 +43992,9 @@ "integrity": "sha512-ARDJmphmdvUk6Glw7y9DQ2bFkKBHwQHLi2lsaH6PPmz/Ka9sFOBsBluozhDltWmnv9u/cF6Rt87znRTPV+yp/A==" }, "ufo": { - "version": "1.5.3", - "resolved": "https://registry.npmjs.org/ufo/-/ufo-1.5.3.tgz", - "integrity": "sha512-Y7HYmWaFwPUmkoQCUIAYpKqkOf+SbVj/2fJJZ4RJMCfZp0rTGwRbzQD+HghfnhKOjL9E01okqz+ncJskGYfBNw==", + "version": "1.5.4", + "resolved": "https://registry.npmjs.org/ufo/-/ufo-1.5.4.tgz", + "integrity": "sha512-UsUk3byDzKd04EyoZ7U4DOlxQaD14JUKQl6/P7wiX4FNvUfm3XL246n9W5AmqwW5RSFJ27NAuM0iLscAOYUiGQ==", "dev": true }, "uglify-js": { @@ -40805,9 +44051,9 @@ } }, "unicode-canonical-property-names-ecmascript": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.0.tgz", - "integrity": "sha512-yY5PpDlfVIU5+y/BSCxAJRBIS1Zc2dDG3Ujq+sR0U+JjUevW2JhocOF+soROYDSaAezOzOKuyyixhD6mBknSmQ==", + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/unicode-canonical-property-names-ecmascript/-/unicode-canonical-property-names-ecmascript-2.0.1.tgz", + "integrity": "sha512-dA8WbNeb2a6oQzAQ55YlT5vQAWGV9WXOsi3SskE3bcCdM0P4SDd+24zS/OCacdRq5BkdsRj9q3Pg6YyQoxIGqg==", "dev": true }, "unicode-match-property-ecmascript": { @@ -40821,9 +44067,9 @@ } }, "unicode-match-property-value-ecmascript": { - "version": "2.1.0", - "resolved": "https://registry.npmjs.org/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-2.1.0.tgz", - "integrity": "sha512-qxkjQt6qjg/mYscYMC0XKRn3Rh0wFPlfxB0xkt9CfyTvpX1Ra0+rAmdX2QyAobptSEvuy4RtpPRui6XkV+8wjA==", + "version": "2.2.0", + "resolved": "https://registry.npmjs.org/unicode-match-property-value-ecmascript/-/unicode-match-property-value-ecmascript-2.2.0.tgz", + "integrity": "sha512-4IehN3V/+kkr5YeSSDDQG8QLqO26XpL2XP3GQtqwlT/QYSECAwFztxVHjlbh0+gjJ3XmNLS0zDsbgs9jWKExLg==", "dev": true }, "unicode-property-aliases-ecmascript": { @@ -40994,13 +44240,13 @@ "dev": true }, "update-browserslist-db": { - "version": "1.0.16", - "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.0.16.tgz", - "integrity": "sha512-KVbTxlBYlckhF5wgfyZXTWnMn7MMZjMu9XG8bPlliUOP9ThaF4QnhP8qrjrH7DRzHfSk0oQv1wToW+iA5GajEQ==", + "version": "1.1.1", + "resolved": "https://registry.npmjs.org/update-browserslist-db/-/update-browserslist-db-1.1.1.tgz", + "integrity": "sha512-R8UzCaa9Az+38REPiJ1tXlImTJXlVfgHZsglwBD/k6nj76ctsH1E3q4doGrukiLQd3sGQYu56r5+lo5r94l29A==", "dev": true, "requires": { - "escalade": "^3.1.2", - "picocolors": "^1.0.1" + "escalade": "^3.2.0", + "picocolors": "^1.1.0" } }, "uri-js": { @@ -41325,9 +44571,9 @@ "optional": true }, "@types/estree": { - "version": "1.0.5", - "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.5.tgz", - "integrity": "sha512-/kYRxGDLWzHOB7q+wtSUQlFrtcdUccpfy+X+9iMBpHK8QLLhx2wIPYuS5DYtR9Wa/YlZAbIovy7qVdB1Aq6Lyw==", + "version": "1.0.6", + "resolved": "https://registry.npmjs.org/@types/estree/-/estree-1.0.6.tgz", + "integrity": "sha512-AYnb1nQyY49te+VRAVgmzfcgjYS91mY5P0TKUDCLEM+gNnA+3T6rWITXRLYCpahpqSQbN5cE+gHpnPyXjHWxcw==", "dev": true }, "esbuild": { @@ -41362,28 +44608,30 @@ } }, "rollup": { - "version": "4.18.0", - "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.18.0.tgz", - "integrity": "sha512-QmJz14PX3rzbJCN1SG4Xe/bAAX2a6NpCP8ab2vfu2GiUr8AQcr2nCV/oEO3yneFarB67zk8ShlIyWb2LGTb3Sg==", - "dev": true, - "requires": { - "@rollup/rollup-android-arm-eabi": "4.18.0", - "@rollup/rollup-android-arm64": "4.18.0", - "@rollup/rollup-darwin-arm64": "4.18.0", - "@rollup/rollup-darwin-x64": "4.18.0", - "@rollup/rollup-linux-arm-gnueabihf": "4.18.0", - "@rollup/rollup-linux-arm-musleabihf": "4.18.0", - "@rollup/rollup-linux-arm64-gnu": "4.18.0", - "@rollup/rollup-linux-arm64-musl": "4.18.0", - "@rollup/rollup-linux-powerpc64le-gnu": "4.18.0", - "@rollup/rollup-linux-riscv64-gnu": "4.18.0", - "@rollup/rollup-linux-s390x-gnu": "4.18.0", - "@rollup/rollup-linux-x64-gnu": "4.18.0", - "@rollup/rollup-linux-x64-musl": "4.18.0", - "@rollup/rollup-win32-arm64-msvc": "4.18.0", - "@rollup/rollup-win32-ia32-msvc": "4.18.0", - "@rollup/rollup-win32-x64-msvc": "4.18.0", - "@types/estree": "1.0.5", + "version": "4.24.1", + "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.24.1.tgz", + "integrity": "sha512-2lhtdsnyxlfBAZVh9tfriEc1nV9HxjQGnqEpd7z7cWXuLbI4jHWDhAvw6JGs0AVcnYqv0gL7Mjuj/utxW2wPBw==", + "dev": true, + "requires": { + "@rollup/rollup-android-arm-eabi": "4.24.1", + "@rollup/rollup-android-arm64": "4.24.1", + "@rollup/rollup-darwin-arm64": "4.24.1", + "@rollup/rollup-darwin-x64": "4.24.1", + "@rollup/rollup-freebsd-arm64": "4.24.1", + "@rollup/rollup-freebsd-x64": "4.24.1", + "@rollup/rollup-linux-arm-gnueabihf": "4.24.1", + "@rollup/rollup-linux-arm-musleabihf": "4.24.1", + "@rollup/rollup-linux-arm64-gnu": "4.24.1", + "@rollup/rollup-linux-arm64-musl": "4.24.1", + "@rollup/rollup-linux-powerpc64le-gnu": "4.24.1", + "@rollup/rollup-linux-riscv64-gnu": "4.24.1", + "@rollup/rollup-linux-s390x-gnu": "4.24.1", + "@rollup/rollup-linux-x64-gnu": "4.24.1", + "@rollup/rollup-linux-x64-musl": "4.24.1", + "@rollup/rollup-win32-arm64-msvc": "4.24.1", + "@rollup/rollup-win32-ia32-msvc": "4.24.1", + "@rollup/rollup-win32-x64-msvc": "4.24.1", + "@types/estree": "1.0.6", "fsevents": "~2.3.2" } } @@ -41412,9 +44660,9 @@ } }, "watchpack": { - "version": "2.4.1", - "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.1.tgz", - "integrity": "sha512-8wrBCMtVhqcXP2Sup1ctSkga6uc2Bx0IIvKyT7yTFier5AXHooSI+QyQQAtTb7+E0IUCCKyTFmXqdqgum2XWGg==", + "version": "2.4.2", + "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.2.tgz", + "integrity": "sha512-TnbFSbcOCcDgjZ4piURLCbJ3nJhznVh9kw6F6iokjiFPl8ONxe9A6nMDVXDiNbrSfLILs6vB07F7wLBrwPYzJw==", "dev": true, "requires": { "glob-to-regexp": "^0.4.1", @@ -41790,9 +45038,9 @@ "dev": true }, "path-to-regexp": { - "version": "6.2.2", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-6.2.2.tgz", - "integrity": "sha512-GQX3SSMokngb36+whdpRXE+3f9V8UzyAorlYvOGx87ufGHehNTn5lCxrKtLyZ4Yl/wEKnNnr98ZzOwwDZV5ogw==", + "version": "6.3.0", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-6.3.0.tgz", + "integrity": "sha512-Yhpw4T9C6hPpgPeA28us07OJeqZ5EzQTkbfwuhsUg0c237RomFoETJgmp2sa3F/41gfLE6G5cqcYwznmeEeOlQ==", "dev": true }, "resolve": { @@ -41994,20 +45242,20 @@ "dev": true }, "youch": { - "version": "3.3.3", - "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.3.tgz", - "integrity": "sha512-qSFXUk3UZBLfggAW3dJKg0BMblG5biqSF8M34E06o5CSsZtH92u9Hqmj2RzGiHDi64fhe83+4tENFP2DB6t6ZA==", + "version": "3.3.4", + "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.4.tgz", + "integrity": "sha512-UeVBXie8cA35DS6+nBkls68xaBBXCye0CNznrhszZjTbRVnJKQuNsyLKBTTL4ln1o1rh2PKtv35twV7irj5SEg==", "dev": true, "requires": { - "cookie": "^0.5.0", + "cookie": "^0.7.1", "mustache": "^4.2.0", "stacktracey": "^2.1.8" }, "dependencies": { "cookie": { - "version": "0.5.0", - "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.5.0.tgz", - "integrity": "sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==", + "version": "0.7.2", + "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.2.tgz", + "integrity": "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w==", "dev": true } } From d1218826f3f9594b35d53b9c59705d1b5723d782 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Mon, 28 Oct 2024 21:26:34 +0100 Subject: [PATCH 064/106] fix formatting --- .../HowCanIHelp/CatgoryCarousel.tsx | 4 +- app/routes/how-can-i-help.grassroots.tsx | 65 ++++++++----- app/routes/how-can-i-help.volunteer.tsx | 97 ++++++++++--------- 3 files changed, 98 insertions(+), 68 deletions(-) diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx index a63a88a4..95d334a6 100644 --- a/app/components/HowCanIHelp/CatgoryCarousel.tsx +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -9,8 +9,8 @@ import './category-carousel.css' const PER_BOX = 320 interface CategoryCarouselProps { - title: React.ReactNode; - category: PageId; + title: React.ReactNode + category: PageId } const CategoryCarousel = ({title, category}: CategoryCarouselProps) => { diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 45eff337..de6447be 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -1,10 +1,6 @@ import {MetaFunction} from '@remix-run/node' -import CardSmall from '~/components/CardSmall' -import DropDown from '~/components/DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' -import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' import VideoImg from '~/assets/video_thumbnail.png' @@ -34,13 +30,11 @@ const TopText = () => (
    - + ) const WhatYouCanDo = () => ( <> -

    - What you can do, right now -

    +

    What you can do, right now

    ( links={[ { tag: 'Top recommendation', - title: 'A.I. - Humanity\'s Final Invention?', + title: "A.I. - Humanity's Final Invention?", action: 'https://youtu.be/fa8k8IQ1_X0?si=b2l0Ex6KQvt6JyQD', image: (
    @@ -61,19 +55,25 @@ const WhatYouCanDo = () => ( }} />
    - ) + ), }, ]} additionalInfo={ <> Or, choose another from our{' '} - + Intro to AI Safety video playlist } > -

    We recommend sharing “A.I. - Humanity’s Final Invention?”, which gives an accessible overview to the topic of AI and existential risk

    +

    + We recommend sharing “A.I. - Humanity’s Final Invention?”, which gives an accessible + overview to the topic of AI and existential risk +

    ( tag="8 min" links={[ { - title: 'PauseAI\’s email-a-politician email builder', + title: 'PauseAI’s email-a-politician email builder', action: 'https://pauseai.info/email-builder', }, ]} > -

    Contacting politicians raises awareness among those who can shape policy and make a real difference

    +

    + {' '} + Contacting politicians raises awareness among those who can shape policy and make a real + difference +

    ( }, ]} > -

    Protests happen in major cities globally, and need people like you!

    +

    + Protests happen in major cities globally, and need people like you! +

    ( }, ]} > -

    Take whatever chance you can to promote this topic to friends, those in your social media or professional network, or whomever

    +

    + Take whatever chance you can to promote this topic to friends, those in your social media + or professional network, or whomever +

    ( <> You could also look into{' '} - other major petitions + other major petitions } > -

    Add your signature next to Elon Musk, Steve Wozniak, and Stuart Russel in the most well-known AI Safety petition, “Pause Giant AI Experiments: An Open Letter”

    +

    + Add your signature next to Elon Musk, Steve Wozniak, and Stuart Russel in the most + well-known AI Safety petition, “Pause Giant AI Experiments: An Open Letter” +

    Our articles on spreading the
    word & grassroots activism} + title={ + + Our articles on spreading the
    word & grassroots activism +     + } category="NM1A" />
    @@ -153,12 +169,17 @@ export default function Grassroots() { } }, []) return ( - Spread the word &
    grassroots activism} current="grassroots"> - + + Spread the word &
    grassroots activism + + } + current="grassroots" + > - ) } diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 4c85a237..688f019a 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -1,14 +1,10 @@ import {MetaFunction} from '@remix-run/node' -import CardSmall from '~/components/CardSmall' import DropDown from '~/components/DropDown' -import {Microscope, GovermentBuilding, PuzzlePieces} from '~/components/icons-generated' import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' -import VideoImg from '~/assets/video_thumbnail.png' -import PlayIcon from '~/components/icons-generated/Play' import BaginskiImg from '~/assets/Baginski.jpeg' import LonsImg from '~/assets/Lons.jpg' @@ -23,41 +19,52 @@ const TopText = () => (

    Who

    - Pretty much any skill set can be adapted to a volunteer role. Some commonly sought-after skills include technical expertise (such as math and code), communications, project management, and general organizing. + Pretty much any skill set can be adapted to a volunteer role. Some commonly sought-after + skills include technical expertise (such as math and code), communications, project + management, and general organizing.

    Why this is important

    - Volunteering, especially in areas of field-building and movement-building, supports efforts that are important but bottlenecked by AI safety’s funding shortage – such as AISafety.com and AI Safety Quest. + Volunteering, especially in areas of field-building and movement-building, supports + efforts that are important but bottlenecked by AI safety’s funding shortage – such as + AISafety.com and AI Safety Quest.

    - + ) const Dropdowns = () => ( -
    - -
    -

    About 90% of volunteer work is online, and involves field-building through communication, advocacy, or software development; providing feedback on research; or building or organizing online groups. In-person volunteer work would entail organizing meetups, protests, or retreats.

    -
    -     - -
    -

    Typically volunteers commit up to several hours a week for at least a few months. However, volunteers that accomplished one 15 minute task a week, consistently, have also been very helpful. What’s most important is that you understand how much you are able to commit upfront, and follow through with that commitment.

    -
    -     -
    +
    + +
    +

    + About 90% of volunteer work is online, and involves field-building through communication, + advocacy, or software development; providing feedback on research; or building or + organizing online groups. In-person volunteer work would entail organizing meetups, + protests, or retreats. +

    +
    +     + +
    +

    + Typically volunteers commit up to several hours a week for at least a few months. However, + volunteers that accomplished one 15 minute task a week, consistently, have also been very + helpful. What’s most important is that you understand how much you are able to commit + upfront, and follow through with that commitment. +

    +
    +     +
    ) - const Options = () => ( <> -

    - Options for getting started -

    +

    Options for getting started

    ( ]} >
    -

    Get personalized volunteering advice in a thirty minute or one hour video call. We recommend booking both!

    -
    - Note: - 80,000 Hours does not accept all applicants -
    +

    + Get personalized volunteering advice in a thirty minute or one hour video call. We + recommend booking both! +

    +
    + Note: + 80,000 Hours does not accept all applicants +
    @@ -86,19 +96,25 @@ const Options = () => ( links={[ { title: 'Add the next AED call to your calendar', - action: 'https://calendar.google.com/calendar/u/0/share?slt=1AUWfa3j72XM5H9AQ6Wsx-PYfhAraCnI2kGks7D3h5TiLPtleaCfXXecE2a2NAhXU4S5dOqYYPpJHG2i4UtbUuzdMNJXFAA2FjsyL', + action: + 'https://calendar.google.com/calendar/u/0/share?slt=1AUWfa3j72XM5H9AQ6Wsx-PYfhAraCnI2kGks7D3h5TiLPtleaCfXXecE2a2NAhXU4S5dOqYYPpJHG2i4UtbUuzdMNJXFAA2FjsyL', }, ]} additionalInfo={ <> Or, learn more about AED on{' '} - their website + their website } > -

    Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI safety field-building projects like AISafety.com and AISafety Quest. Join an existing project or pitch your own and recruit help.

    +

    + {' '} + Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI + safety field-building projects like AISafety.com and AISafety Quest. Join an existing + project or pitch your own and recruit help. +

    ( }, ]} > -

    Browse our list of online AI safety field-building projects. Email the contact person expressing your interest.

    +

    + Browse our list of online AI safety field-building projects. Email the contact person + expressing your interest. +

    -
    - + (
    - Our articles on volunteering} - category="NM18" - /> + Our articles on volunteering} category="NM18" />
    ) @@ -148,7 +158,6 @@ export default function Volunteer() { }, []) return ( Volunteer} current="volunteer"> - From d7720ed7c7afed2fe330748d1cccf5e84fb9a2c5 Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Mon, 28 Oct 2024 21:29:59 +0100 Subject: [PATCH 065/106] fix package-lock --- .../VideoThumbnail/videothumbnail.tsx | 18 +- app/root.css | 2 +- app/routes/how-can-i-help.grassroots.tsx | 10 +- app/routes/how-can-i-help.volunteer.tsx | 1 - package-lock.json | 9576 ++++++----------- 5 files changed, 3176 insertions(+), 6431 deletions(-) diff --git a/app/components/VideoThumbnail/videothumbnail.tsx b/app/components/VideoThumbnail/videothumbnail.tsx index b37a33de..903e130f 100644 --- a/app/components/VideoThumbnail/videothumbnail.tsx +++ b/app/components/VideoThumbnail/videothumbnail.tsx @@ -1,13 +1,13 @@ -import React from 'react'; -import PlayIcon from '~/components/icons-generated/Play'; +import React from 'react' +import PlayIcon from '~/components/icons-generated/Play' interface VideoThumbnailProps { - imageUrl: string; - altText: string; - tag?: string; + imageUrl: string + altText: string + tag?: string } -const VideoThumbnail: React.FC = ({ imageUrl, altText, tag }) => { +const VideoThumbnail: React.FC = ({imageUrl, altText, tag}) => { return (
    {tag && ( @@ -22,7 +22,7 @@ const VideoThumbnail: React.FC = ({ imageUrl, altText, tag
    - ); -}; + ) +} -export default VideoThumbnail; +export default VideoThumbnail diff --git a/app/root.css b/app/root.css index a7ed9330..bed8f591 100644 --- a/app/root.css +++ b/app/root.css @@ -843,4 +843,4 @@ button { } } -/* end mobile */ \ No newline at end of file +/* end mobile */ diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index e7e79ac7..00c29bbb 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -4,8 +4,7 @@ import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' import VideoImg from '~/assets/video_thumbnail.png' -import PlayIcon from '~/components/icons-generated/Play' -import VideoThumbnail from '~/components/VideoThumbnail/videothumbnail'; +import VideoThumbnail from '~/components/VideoThumbnail/videothumbnail' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -45,12 +44,7 @@ const WhatYouCanDo = () => ( tag: 'Top recommendation', title: "A.I. - Humanity's Final Invention?", action: 'https://youtu.be/fa8k8IQ1_X0?si=b2l0Ex6KQvt6JyQD', - image: ( - - ) + image: , }, ]} additionalInfo={ diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 6a14ab94..688f019a 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -157,7 +157,6 @@ export default function Volunteer() { } }, []) return ( - Volunteer} current="volunteer"> diff --git a/package-lock.json b/package-lock.json index 7e709110..81bcacab 100644 --- a/package-lock.json +++ b/package-lock.json @@ -94,7 +94,6 @@ "resolved": "https://registry.npmjs.org/@aw-web-design/x-default-browser/-/x-default-browser-1.4.126.tgz", "integrity": "sha512-Xk1sIhyNC/esHGGVjL/niHLowM0csl/kFO5uawBy4IrWwy0o1G8LGt3jP6nmWGz+USxeeqbihAmp/oVZju6wug==", "dev": true, - "license": "MIT", 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+6922,7 @@ "node": ">=12" } }, - "node_modules/@storybook/cli/node_modules/@esbuild/linux-mips64el": { + "node_modules/@storybook/core-common/node_modules/@esbuild/linux-mips64el": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.18.20.tgz", "integrity": "sha512-d5NeaXZcHp8PzYy5VnXV3VSd2D328Zb+9dEq5HE6bw6+N86JVPExrA6O68OPwobntbNJ0pzCpUFZTo3w0GyetQ==", @@ -7036,7 +6930,6 @@ "mips64el" ], "dev": true, - "license": "MIT", "optional": true, "os": [ "linux" @@ -7045,7 +6938,7 @@ "node": ">=12" } }, - "node_modules/@storybook/cli/node_modules/@esbuild/linux-ppc64": { + "node_modules/@storybook/core-common/node_modules/@esbuild/linux-ppc64": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.18.20.tgz", "integrity": "sha512-WHPyeScRNcmANnLQkq6AfyXRFr5D6N2sKgkFo2FqguP44Nw2eyDlbTdZwd9GYk98DZG9QItIiTlFLHJHjxP3FA==", @@ -7053,7 +6946,6 @@ "ppc64" ], "dev": true, - "license": "MIT", "optional": true, "os": [ "linux" @@ -7062,7 +6954,7 @@ "node": ">=12" } }, - "node_modules/@storybook/cli/node_modules/@esbuild/linux-riscv64": { + "node_modules/@storybook/core-common/node_modules/@esbuild/linux-riscv64": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.18.20.tgz", "integrity": "sha512-WSxo6h5ecI5XH34KC7w5veNnKkju3zBRLEQNY7mv5mtBmrP/MjNBCAlsM2u5hDBlS3NGcTQpoBvRzqBcRtpq1A==", @@ -7070,7 +6962,6 @@ "riscv64" ], "dev": true, - "license": "MIT", "optional": true, "os": [ "linux" @@ -7079,7 +6970,7 @@ "node": ">=12" } }, - "node_modules/@storybook/cli/node_modules/@esbuild/linux-s390x": { + "node_modules/@storybook/core-common/node_modules/@esbuild/linux-s390x": { "version": "0.18.20", "resolved": "https://registry.npmjs.org/@esbuild/linux-s390x/-/linux-s390x-0.18.20.tgz", "integrity": "sha512-+8231GMs3mAEth6Ja1iK0a1sQ3ohfcpzpRLH8uuc5/KVDFneH6jtAJLFGafpzpMRO6DzJ6AvXKze9LfFMrIHVQ==", @@ -7087,7 +6978,6 @@ "s390x" ], 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"integrity": "sha512-2lhtdsnyxlfBAZVh9tfriEc1nV9HxjQGnqEpd7z7cWXuLbI4jHWDhAvw6JGs0AVcnYqv0gL7Mjuj/utxW2wPBw==", - "dev": true, - "requires": { - "@rollup/rollup-android-arm-eabi": "4.24.1", - "@rollup/rollup-android-arm64": "4.24.1", - "@rollup/rollup-darwin-arm64": "4.24.1", - "@rollup/rollup-darwin-x64": "4.24.1", - "@rollup/rollup-freebsd-arm64": "4.24.1", - "@rollup/rollup-freebsd-x64": "4.24.1", - "@rollup/rollup-linux-arm-gnueabihf": "4.24.1", - "@rollup/rollup-linux-arm-musleabihf": "4.24.1", - "@rollup/rollup-linux-arm64-gnu": "4.24.1", - "@rollup/rollup-linux-arm64-musl": "4.24.1", - "@rollup/rollup-linux-powerpc64le-gnu": "4.24.1", - "@rollup/rollup-linux-riscv64-gnu": "4.24.1", - "@rollup/rollup-linux-s390x-gnu": "4.24.1", - "@rollup/rollup-linux-x64-gnu": "4.24.1", - "@rollup/rollup-linux-x64-musl": "4.24.1", - "@rollup/rollup-win32-arm64-msvc": "4.24.1", - "@rollup/rollup-win32-ia32-msvc": "4.24.1", - "@rollup/rollup-win32-x64-msvc": "4.24.1", - "@types/estree": "1.0.6", + "version": "4.18.0", + "resolved": "https://registry.npmjs.org/rollup/-/rollup-4.18.0.tgz", + "integrity": "sha512-QmJz14PX3rzbJCN1SG4Xe/bAAX2a6NpCP8ab2vfu2GiUr8AQcr2nCV/oEO3yneFarB67zk8ShlIyWb2LGTb3Sg==", + "dev": true, + "requires": { + "@rollup/rollup-android-arm-eabi": "4.18.0", + "@rollup/rollup-android-arm64": "4.18.0", + "@rollup/rollup-darwin-arm64": "4.18.0", + "@rollup/rollup-darwin-x64": "4.18.0", + "@rollup/rollup-linux-arm-gnueabihf": "4.18.0", + "@rollup/rollup-linux-arm-musleabihf": "4.18.0", + "@rollup/rollup-linux-arm64-gnu": "4.18.0", + "@rollup/rollup-linux-arm64-musl": "4.18.0", + "@rollup/rollup-linux-powerpc64le-gnu": "4.18.0", + "@rollup/rollup-linux-riscv64-gnu": "4.18.0", + "@rollup/rollup-linux-s390x-gnu": "4.18.0", + "@rollup/rollup-linux-x64-gnu": "4.18.0", + "@rollup/rollup-linux-x64-musl": "4.18.0", + "@rollup/rollup-win32-arm64-msvc": "4.18.0", + "@rollup/rollup-win32-ia32-msvc": "4.18.0", + "@rollup/rollup-win32-x64-msvc": "4.18.0", + "@types/estree": "1.0.5", "fsevents": "~2.3.2" } } @@ -44660,9 +41412,9 @@ } }, "watchpack": { - "version": "2.4.2", - "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.2.tgz", - "integrity": "sha512-TnbFSbcOCcDgjZ4piURLCbJ3nJhznVh9kw6F6iokjiFPl8ONxe9A6nMDVXDiNbrSfLILs6vB07F7wLBrwPYzJw==", + "version": "2.4.1", + "resolved": "https://registry.npmjs.org/watchpack/-/watchpack-2.4.1.tgz", + "integrity": "sha512-8wrBCMtVhqcXP2Sup1ctSkga6uc2Bx0IIvKyT7yTFier5AXHooSI+QyQQAtTb7+E0IUCCKyTFmXqdqgum2XWGg==", "dev": true, "requires": { "glob-to-regexp": "^0.4.1", @@ -45038,9 +41790,9 @@ "dev": true }, "path-to-regexp": { - "version": "6.3.0", - "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-6.3.0.tgz", - "integrity": "sha512-Yhpw4T9C6hPpgPeA28us07OJeqZ5EzQTkbfwuhsUg0c237RomFoETJgmp2sa3F/41gfLE6G5cqcYwznmeEeOlQ==", + "version": "6.2.2", + "resolved": "https://registry.npmjs.org/path-to-regexp/-/path-to-regexp-6.2.2.tgz", + "integrity": "sha512-GQX3SSMokngb36+whdpRXE+3f9V8UzyAorlYvOGx87ufGHehNTn5lCxrKtLyZ4Yl/wEKnNnr98ZzOwwDZV5ogw==", "dev": true }, "resolve": { @@ -45242,20 +41994,20 @@ "dev": true }, "youch": { - "version": "3.3.4", - "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.4.tgz", - "integrity": "sha512-UeVBXie8cA35DS6+nBkls68xaBBXCye0CNznrhszZjTbRVnJKQuNsyLKBTTL4ln1o1rh2PKtv35twV7irj5SEg==", + "version": "3.3.3", + "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.3.tgz", + "integrity": "sha512-qSFXUk3UZBLfggAW3dJKg0BMblG5biqSF8M34E06o5CSsZtH92u9Hqmj2RzGiHDi64fhe83+4tENFP2DB6t6ZA==", "dev": true, "requires": { - "cookie": "^0.7.1", + "cookie": "^0.5.0", "mustache": "^4.2.0", "stacktracey": "^2.1.8" }, "dependencies": { "cookie": { - "version": "0.7.2", - "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.2.tgz", - "integrity": "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w==", + "version": "0.5.0", + "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.5.0.tgz", + "integrity": "sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==", "dev": true } } From 6f0b9601c25d595162b82365ac1566e52a50f0d9 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Mon, 28 Oct 2024 18:13:59 -0300 Subject: [PATCH 066/106] incorporating nemo's feedback --- app/components/HowCanIHelp/Base.tsx | 2 +- app/components/HowCanIHelp/CatgoryCarousel.tsx | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index ab3e7dbe..11f72d42 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -5,7 +5,7 @@ import {helpUrl} from '~/routesMapper' import {ReactNode} from 'react' type BaseProps = { - title: string | ReactNode + title: ReactNode children: ReactNode } & HelpMethodsProps diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx index a63a88a4..8b98dbee 100644 --- a/app/components/HowCanIHelp/CatgoryCarousel.tsx +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -8,7 +8,7 @@ import './category-carousel.css' const PER_BOX = 320 -interface CategoryCarouselProps { +type CategoryCarouselProps = { title: React.ReactNode; category: PageId; } From b5fad90aad8916a9ac7ba99590a114fbfdd146cc Mon Sep 17 00:00:00 2001 From: Daniel O'Connell Date: Mon, 28 Oct 2024 22:21:25 +0100 Subject: [PATCH 067/106] fix lint --- app/components/HowCanIHelp/CatgoryCarousel.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CatgoryCarousel.tsx index 8b98dbee..05cd755a 100644 --- a/app/components/HowCanIHelp/CatgoryCarousel.tsx +++ b/app/components/HowCanIHelp/CatgoryCarousel.tsx @@ -9,8 +9,8 @@ import './category-carousel.css' const PER_BOX = 320 type CategoryCarouselProps = { - title: React.ReactNode; - category: PageId; + title: React.ReactNode + category: PageId } const CategoryCarousel = ({title, category}: CategoryCarouselProps) => { From 47aefedd90180106a6b502d8fc849a18ad29f9f1 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 28 Oct 2024 19:21:07 -0400 Subject: [PATCH 068/106] footer fixes --- app/components/HowCanIHelp/HelpMethods.tsx | 34 +++++++++++++++++----- app/root.css | 8 +++++ 2 files changed, 34 insertions(+), 8 deletions(-) diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index dfe4ba50..611d9cf4 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -39,7 +39,7 @@ const titles = {
    ), knowledge: ( -
    +
    Boost your learning efforts:
    Join a community @@ -55,15 +55,27 @@ const titles = { } const knowledgeDescriptions = { - donate: 'The more you know about this topic, the further your donation efforts will go', + donate: 'The more you know about this topic, the further your donation efforts can go', + grassroots: + 'The second-best way to increase your impact as an advocate is educating yourself on your own', + volunteer: + 'The more you know about this topic, the further your volunteer efforts will go', + community: + 'Learning about AI Safety equips you to effectively contribute to discussions and influence its development', } const communityDescriptions = { donate: 'Connecting with other advocates online or in person will help guide donation decisions, and can be motivating', + grassroots: + 'Connecting with other advocates online or in person will be supportive in your advocacy efforts', + volunteer: + 'Connecting with other volunteers online or in person will be supportive in your volunteer efforts', + knowledge: + 'Connecting with others interested in AI safety can be inspiring, and will help guide your learning efforts', } -const KnowledgeCard = ({current}: {current?: HelpPage}) => { +const KnowledgeCard = ({current, className = "col-6"}: {current?: HelpPage, className?: string}) => { if (current == 'knowledge') return null const defaultDescription = 'Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field' @@ -76,12 +88,12 @@ const KnowledgeCard = ({current}: {current?: HelpPage}) => { knowledgeDescriptions[current as keyof typeof knowledgeDescriptions] || defaultDescription } icon={Book} - className="col-6" + className={className} /> ) } -const CommunityCard = ({current}: {current?: string}) => { +const CommunityCard = ({current, className = "col-6"}: {current?: string, className?: string}) => { if (current === 'community') return null const defaultDescription = 'Connecting with others online or in person will help you navigate the transition to a career in AI safety' @@ -94,7 +106,7 @@ const CommunityCard = ({current}: {current?: string}) => { communityDescriptions[current as keyof typeof communityDescriptions] || defaultDescription } icon={People} - className="col-6" + className={className} /> ) } @@ -112,8 +124,14 @@ const HelpMethods = ({

    {footerTitle || (current && titles[current])}

    - - + +

    {footerSubheader}

    diff --git a/app/root.css b/app/root.css index bed8f591..9532d25e 100644 --- a/app/root.css +++ b/app/root.css @@ -711,6 +711,14 @@ button { stroke: var(--colors-teal-600); } +.order-1 { + order: 1 !important; +} + +.order-2 { + order: 2 !important; +} + .tag { color: var(--colors-teal-500); height: 24px; From d93aab00f9b5f7b64111f9e4f230f27765e7b028 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 28 Oct 2024 19:21:42 -0400 Subject: [PATCH 069/106] Update HelpMethods.tsx --- app/components/HowCanIHelp/HelpMethods.tsx | 25 +++++++++++++--------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 611d9cf4..07c2687f 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -58,8 +58,7 @@ const knowledgeDescriptions = { donate: 'The more you know about this topic, the further your donation efforts can go', grassroots: 'The second-best way to increase your impact as an advocate is educating yourself on your own', - volunteer: - 'The more you know about this topic, the further your volunteer efforts will go', + volunteer: 'The more you know about this topic, the further your volunteer efforts will go', community: 'Learning about AI Safety equips you to effectively contribute to discussions and influence its development', } @@ -75,7 +74,13 @@ const communityDescriptions = { 'Connecting with others interested in AI safety can be inspiring, and will help guide your learning efforts', } -const KnowledgeCard = ({current, className = "col-6"}: {current?: HelpPage, className?: string}) => { +const KnowledgeCard = ({ + current, + className = 'col-6', +}: { + current?: HelpPage + className?: string +}) => { if (current == 'knowledge') return null const defaultDescription = 'Learning more about AI safety and the alignment problem is essential if you want to pursue a career in this field' @@ -93,7 +98,7 @@ const KnowledgeCard = ({current, className = "col-6"}: {current?: HelpPage, clas ) } -const CommunityCard = ({current, className = "col-6"}: {current?: string, className?: string}) => { +const CommunityCard = ({current, className = 'col-6'}: {current?: string; className?: string}) => { if (current === 'community') return null const defaultDescription = 'Connecting with others online or in person will help you navigate the transition to a career in AI safety' @@ -124,13 +129,13 @@ const HelpMethods = ({

    {footerTitle || (current && titles[current])}

    - -

    {footerSubheader}

    From 7502f9c6ed98ca70d97f0b9d3a1121f73776900c Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 28 Oct 2024 21:49:19 -0400 Subject: [PATCH 070/106] site-wide footer --- app/components/Footer/footer.css | 6 +++--- app/components/Footer/index.tsx | 23 ++++++++++++----------- 2 files changed, 15 insertions(+), 14 deletions(-) diff --git a/app/components/Footer/footer.css b/app/components/Footer/footer.css index 235c53b7..e662d8a0 100644 --- a/app/components/Footer/footer.css +++ b/app/components/Footer/footer.css @@ -3,16 +3,16 @@ } .footer-contents { - display: flex; + /* display: flex; gap: var(--spacing-32); flex-direction: row; flex-wrap: nowrap; justify-content: space-between; align-items: baseline; - margin: var(--spacing-104) var(--spacing-80) var(--spacing-80) var(--spacing-80); + margin: var(--spacing-104) var(--spacing-80) var(--spacing-80) var(--spacing-80); */ } -@media (max-width: 780px) { +@media (max-width: 1136px) { .footer-contents { flex-direction: column; gap: 32px; diff --git a/app/components/Footer/index.tsx b/app/components/Footer/index.tsx index b33c1db9..31122139 100644 --- a/app/components/Footer/index.tsx +++ b/app/components/Footer/index.tsx @@ -1,10 +1,9 @@ import {FunctionComponent} from 'react' import './footer.css' - const year = new Date().getFullYear() -const Link = ({to, title}: {to: string; title: string}) => ( -
    +const Link = ({to, title, className}: {to: string; title: string; className?: string}) => ( +
    {title} @@ -13,9 +12,10 @@ const Link = ({to, title}: {to: string; title: string}) => ( export const FooterBar: FunctionComponent = () => { return ( -
    +
    -
    +
    +

    AISafety.info @@ -28,25 +28,26 @@ export const FooterBar: FunctionComponent = () => {

    Get involved

    - - - + + +

    Partner projects

    - - + +

    +
    ) } From 696e1c05ce49c465237385511911e6a55210c993 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Mon, 28 Oct 2024 21:50:58 -0400 Subject: [PATCH 071/106] lint --- app/components/Footer/index.tsx | 74 +++++++++++++++++++++------------ 1 file changed, 47 insertions(+), 27 deletions(-) diff --git a/app/components/Footer/index.tsx b/app/components/Footer/index.tsx index 31122139..76ff008d 100644 --- a/app/components/Footer/index.tsx +++ b/app/components/Footer/index.tsx @@ -15,38 +15,58 @@ export const FooterBar: FunctionComponent = () => {
    -
    -
    -

    - AISafety.info -

    -
    - We’re a global team of specialists and volunteers from various backgrounds who want to - ensure that the effects of future AI are beneficial rather than catastrophic. +
    +
    +

    + AISafety.info +

    +
    + We’re a global team of specialists and volunteers from various backgrounds who want to + ensure that the effects of future AI are beneficial rather than catastrophic. +
    -
    -
    -

    Get involved

    - - - - +
    +

    Get involved

    + + + + +
    +
    +

    Partner projects

    + + +
    -
    -

    Partner projects

    - - +
    +
    +
    -
    -
    - -
    -
    ) } From 7a06d780dee471e526521126fba4003b38bd6a7d Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 29 Oct 2024 17:48:21 -0400 Subject: [PATCH 072/106] mostly css for how can I help actually --- app/components/Footer/footer.css | 20 --------- app/components/HowCanIHelp/HelpItem.tsx | 6 ++- .../HowCanIHelp/category-carousel.css | 7 +++ app/root.css | 22 +++++----- app/routes/how-can-i-help.career.tsx | 37 +++++++++++----- app/routes/how-can-i-help.donate.tsx | 9 ++-- app/routes/how-can-i-help.grassroots.tsx | 32 +++++++------- app/routes/how-can-i-help.knowledge.tsx | 44 ++++++++++--------- app/routes/how-can-i-help.volunteer.tsx | 14 +++--- 9 files changed, 101 insertions(+), 90 deletions(-) diff --git a/app/components/Footer/footer.css b/app/components/Footer/footer.css index e662d8a0..6a243921 100644 --- a/app/components/Footer/footer.css +++ b/app/components/Footer/footer.css @@ -1,27 +1,7 @@ -.footer { - margin-top: var(--spacing-104); -} - -.footer-contents { - /* display: flex; - gap: var(--spacing-32); - flex-direction: row; - flex-wrap: nowrap; - justify-content: space-between; - align-items: baseline; - margin: var(--spacing-104) var(--spacing-80) var(--spacing-80) var(--spacing-80); */ -} - @media (max-width: 1136px) { .footer-contents { flex-direction: column; gap: 32px; margin-bottom: 0; } - - .col-5, - .col-4, - .col-3 { - width: 100%; - } } diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index 20b7e8cd..f2c36093 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -8,6 +8,7 @@ type HelpItemProps = { links?: Link[] additionalInfo?: ReactNode titleFont?: 'large-bold' | 'default-bold' + className?: string } const HelpItem = ({ title, @@ -16,9 +17,10 @@ const HelpItem = ({ links, additionalInfo, titleFont = 'large-bold', + className = '', }: HelpItemProps) => { return ( -
    +
    {title && (

    @@ -26,7 +28,7 @@ const HelpItem = ({ {tag && {tag}}

    )} -

    {children}

    +

    {children}

    {links?.map((link) => ( diff --git a/app/components/HowCanIHelp/category-carousel.css b/app/components/HowCanIHelp/category-carousel.css index 25e5f643..032bfa42 100644 --- a/app/components/HowCanIHelp/category-carousel.css +++ b/app/components/HowCanIHelp/category-carousel.css @@ -36,3 +36,10 @@ text-align: left; gap: var(--spacing-16); } + +@media (max-width: 1136px) { + .carousel-item { + width: 100%; + height: auto; + } +} diff --git a/app/root.css b/app/root.css index bed8f591..688ecd0c 100644 --- a/app/root.css +++ b/app/root.css @@ -34,17 +34,17 @@ --spacing-8: 8px; --spacing-12: 12px; --spacing-16: 16px; - --spacing-24: clamp(16px, 1.67vw, 24px); - --spacing-32: clamp(24px, 2.22vw, 32px); - --spacing-40: clamp(24px, 2.78vw, 40px); - --spacing-48: clamp(24px, 3.33vw, 48px); - --spacing-56: clamp(24px, 3.89vw, 56px); - --spacing-64: clamp(32px, 4.45vw, 64px); - --spacing-80: clamp(40px, 5.56vw, 80px); - --spacing-104: clamp(56px, 7.22vw, 104px); - --spacing-128: clamp(56px, 8.89vw, 128px); - --spacing-192: clamp(80px, 13.33vw, 192px); - --spacing-288: clamp(128px, 20vw, 288px); + --spacing-24: 24px; + --spacing-32: 32px; + --spacing-40: 40px; + --spacing-48: 48px; + --spacing-56: 56px; + --spacing-64: 64px; + --spacing-80: 80px; + --spacing-104: 104px; + --spacing-128: 128px; + --spacing-192: 192px; + --spacing-288: 288px; /* height */ --height-48: 48px; diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 7a8b35f9..380c753c 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -63,7 +63,7 @@ const ResearchPath = () => (
    -
    +

    Interested in pursuing this career path?

    @@ -79,6 +79,7 @@ const ResearchPath = () => ( action: 'https://80000hours.org/career-reviews/ai-safety-researcher/', }, ]} + className="padding-bottom-40" >

    The review takes about one hour and addresses:

      @@ -101,6 +102,7 @@ const ResearchPath = () => ( action: 'https://80000hours.org/speak-with-us/', }, ]} + className="padding-bottom-40" >

      Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will @@ -142,12 +144,12 @@ const ResearchPath = () => (

      - +

      There are many roles that support the work of AI alignment researchers, and having high-performing people in these roles is crucial. In a research organisation around half of the staff will be doing other tasks essential for the organisation to perform at its best and have an impact. Some of these roles include: - +

      ( action: 'https://80000hours.org/articles/operations-management/', }, ]} + className="padding-bottom-40" > This involves overseeing the day-to-day activities that enable the organization to function efficiently and effectively. Responsibilities may include administrative support, @@ -169,6 +172,7 @@ const ResearchPath = () => ( action: '#', }, ]} + className="padding-bottom-40" > This involves overseeing and coordinating research activities to ensure they align with the mission of promoting safe AI development. Responsibilities include setting research @@ -192,7 +196,7 @@ const ResearchPath = () => (
      -
      +
      ( />
      -
      +
      ( ) const GovernancePath = () => ( -
      +

      AI governance & policy @@ -249,7 +253,7 @@ const GovernancePath = () => (

      -
      +

      Interested in pursuing this career path?

      @@ -265,6 +269,7 @@ const GovernancePath = () => ( action: 'https://80000hours.org/career-reviews/ai-safety-researcher/', }, ]} + className="padding-bottom-40" >

      The review takes about one hour and addresses:

        @@ -277,6 +282,7 @@ const GovernancePath = () => ( (
      -
      +
      (
      -
      +

      Most common field-building roles

      ( (
      - + There are many roles that support the work of AI alignment researchers or people in AI governance, and having high-performing people in these roles is crucial. In a research organisation, for example, around half of the staff will be doing other tasks essential @@ -452,6 +460,7 @@ const FieldBuildingPath = () => ( ( ( ( (
      -
      +

      Interested in pursuing this career path?

      @@ -536,6 +548,7 @@ const FieldBuildingPath = () => (

      (
      -
      +
      -
      +

      How & where to donate

      -

      +

      If you're deeply involved in the AI safety community, we encourage you to directly fund research, projects, or miscellaneous expenses that you think are valuable. Donating directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that @@ -76,7 +77,7 @@ export default function Donate() {

      -
      +
      -
      +
      diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 00c29bbb..af311dbf 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -37,6 +37,7 @@ const WhatYouCanDo = () => (

      What you can do, right now

      ( } > -

      - We recommend sharing “A.I. - Humanity’s Final Invention?”, which gives an accessible +

      + We recommend sharing "A.I. - Humanity's Final Invention?", which gives an accessible overview to the topic of AI and existential risk

      ( }, ]} > -

      +

      {' '} Contacting politicians raises awareness among those who can shape policy and make a real difference @@ -83,6 +85,7 @@ const WhatYouCanDo = () => ( ( }, ]} > -

      +

      Protests happen in major cities globally, and need people like you!

      ( }, ]} > -

      +

      Take whatever chance you can to promote this topic to friends, those in your social media or professional network, or whomever

      @@ -137,16 +141,14 @@ const WhatYouCanDo = () => (
      -
      - - Our articles on spreading the
      word & grassroots activism - - } - category="NM1A" - /> -
      + + Our articles on spreading the
      word & grassroots activism + + } + category="NM1A" + /> ) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 4d73d5da..3408b176 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -13,14 +13,15 @@ export const meta: MetaFunction = () => { const NewToAISafety = () => ( <> -
      +
      -

      +

      If you're somewhat new to AI safety, we recommend an introductory overview

      ( ]} > {/* TODO: add video */} -

      +

      Our website’s “Intro to AI safety” micro-course includes several short readings that act as a comprehensive introduction the topic of AI safety.

      @@ -66,7 +67,7 @@ const NewToAISafety = () => ( ]} > {/* TODO: add Browse full list */} -

      +

      We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in AI alignment and safety. The interview provides an introduction to AI risk and discusses many important AI safety concepts. @@ -89,14 +90,13 @@ const Dropdowns = () => ( const DiveDeeper = () => ( <> -

      -
      +

      If you want to dive deeper

      -
      ( ]} // TODO: add "full list of courses" > -

      +

      We recommend taking an online course if your interests have narrowed to a specific subset of AI safety, such as AI alignment research or AI governance.

      -

      +

      The AI Safety Fundamentals (AISF) Governance Course, for example, is especially suited for policymakers and similar stakeholders interested in AI governance mechanisms. It explores policy levers for steering the future of AI development. @@ -125,22 +125,23 @@ const DiveDeeper = () => ( interested in AI alignment research. It explores research agendas for aligning AI systems with human interests.

      -

      - Note: If you take the AISF courses, consider exploring additional views on AI - safety to help avoid homogeneity in the field, such as{' '} - +

      + Note: If you take the AISF courses, consider exploring + additional views on AI safety to help avoid homogeneity in the field, such as{' '} + The Most Important Century blog post series .{/* TODO: fix bold on link */}

      -

      - Note: AISF courses do not accept all applicants, but we still recommend taking the - courses through self-study if your application is unsuccessful. +

      + Note: AISF courses do not accept all applicants, but we + still recommend taking the courses through self-study if your application is unsuccessful.

      ( }, ]} > -

      +

      Most people who are really into AI existential safety ultimately end up in this online, forum-based community which fosters high-quality discussions about AI safety research and governance. @@ -162,6 +163,7 @@ const DiveDeeper = () => ( ( Events, typically conferences and talks, are often held in person and last one to three days.

      -

      +

      We've highlighted EAGx, an Effective Altruism conference dedicated to networking and learning about important global issues, with a strong focus on AI safety. Several EAGx's are held annually in various major cities across the world. @@ -191,7 +193,7 @@ const DiveDeeper = () => ( }, ]} > -

      +

      AI safety fellowships typically last one to three weeks and are offered both online and in person. They focus on developing safe and ethical AI practices through research, mentorship, and collaboration on innovative solutions. @@ -202,7 +204,7 @@ const DiveDeeper = () => ( ) const OurArticles = () => ( <> -

      +
      @@ -216,7 +218,7 @@ export default function Knowledge() { } }, []) return ( - + diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 688f019a..347d2fea 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -64,10 +64,12 @@ const Dropdowns = () => ( const Options = () => ( <> +

      Options for getting started

      ( ]} >
      -

      +

      Get personalized volunteering advice in a thirty minute or one hour video call. We recommend booking both!

      @@ -93,6 +95,7 @@ const Options = () => ( ( } > -

      +

      {' '} Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI safety field-building projects like AISafety.com and AISafety Quest. Join an existing @@ -126,14 +129,15 @@ const Options = () => ( }, ]} > -

      +

      Browse our list of online AI safety field-building projects. Email the contact person expressing your interest.

      +
      -
      +
      ( />
      -
      +
      Our articles on volunteering} category="NM18" />
      From 09199f494504228807f4cc13abee675826df1ec3 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Tue, 29 Oct 2024 17:49:38 -0400 Subject: [PATCH 073/106] lint --- app/routes/how-can-i-help.grassroots.tsx | 4 +- app/routes/how-can-i-help.knowledge.tsx | 16 ++- app/routes/how-can-i-help.volunteer.tsx | 134 +++++++++++------------ 3 files changed, 78 insertions(+), 76 deletions(-) diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index af311dbf..2134b1de 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -95,9 +95,7 @@ const WhatYouCanDo = () => ( }, ]} > -

      - Protests happen in major cities globally, and need people like you! -

      +

      Protests happen in major cities globally, and need people like you!

      ( const DiveDeeper = () => ( <>
      -

      - If you want to dive deeper -

      +

      + If you want to dive deeper +

      (

      Note: If you take the AISF courses, consider exploring additional views on AI safety to help avoid homogeneity in the field, such as{' '} - + The Most Important Century blog post series .{/* TODO: fix bold on link */}

      - Note: AISF courses do not accept all applicants, but we - still recommend taking the courses through self-study if your application is unsuccessful. + Note: AISF courses do not accept all applicants, but + we still recommend taking the courses through self-study if your application is + unsuccessful.

      diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 347d2fea..f47c0f78 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -64,77 +64,77 @@ const Dropdowns = () => ( const Options = () => ( <> -
      -

      Options for getting started

      -
      - -
      -

      - Get personalized volunteering advice in a thirty minute or one hour video call. We - recommend booking both! -

      +
      +

      Options for getting started

      +
      +
      - Note: - 80,000 Hours does not accept all applicants +

      + Get personalized volunteering advice in a thirty minute or one hour video call. We + recommend booking both! +

      +
      + Note: + 80,000 Hours does not accept all applicants +
      -
      - + - - Or, learn more about AED on{' '} - - their website - - - } - > -

      - {' '} - Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI - safety field-building projects like AISafety.com and AISafety Quest. Join an existing - project or pitch your own and recruit help. -

      -       + + Or, learn more about AED on{' '} + + their website + + + } + > +

      + {' '} + Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI + safety field-building projects like AISafety.com and AISafety Quest. Join an existing + project or pitch your own and recruit help. +

      +       - -

      - Browse our list of online AI safety field-building projects. Email the contact person - expressing your interest. -

      -       -
      + +

      + Browse our list of online AI safety field-building projects. Email the contact person + expressing your interest. +

      +       +
      From b9faa9c3e87f18d1fd1124b2982728bacd82a94d Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 29 Oct 2024 21:06:16 -0300 Subject: [PATCH 074/106] capitalization & US spelling --- app/components/HelpGrid/index.tsx | 4 ++-- app/components/HowCanIHelp/HelpMethods.tsx | 2 +- app/components/Nav/index.tsx | 2 +- app/routes/how-can-i-help.career.tsx | 28 +++++++++++----------- app/routes/how-can-i-help.grassroots.tsx | 4 ++-- app/routes/how-can-i-help.volunteer.tsx | 2 +- 6 files changed, 21 insertions(+), 21 deletions(-) diff --git a/app/components/HelpGrid/index.tsx b/app/components/HelpGrid/index.tsx index 5982975a..1111ad5d 100644 --- a/app/components/HelpGrid/index.tsx +++ b/app/components/HelpGrid/index.tsx @@ -21,7 +21,7 @@ const helpItems = [ { title: 'Donate', description: - 'The AI safety field is constrained by funding—financial help is critical at this moment', + 'The AI safety field is constrained by funding—financial help is critical at the moment', impact: 'Highest indirect impact', icon: PiggyBank, action: helpUrl('donate'), @@ -29,7 +29,7 @@ const helpItems = [ { title: 'Volunteer', description: - 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are wanted', + 'Help us build important AI safety infrastructure—all skill sets and levels of time-commitment are valuable', impact: 'Best for partial commitment', icon: Hand, action: helpUrl('volunteer'), diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 07c2687f..146e316a 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -60,7 +60,7 @@ const knowledgeDescriptions = { 'The second-best way to increase your impact as an advocate is educating yourself on your own', volunteer: 'The more you know about this topic, the further your volunteer efforts will go', community: - 'Learning about AI Safety equips you to effectively contribute to discussions and influence its development', + 'Learning about AI safety equips you to effectively contribute to discussions and influence its development', } const communityDescriptions = { diff --git a/app/components/Nav/index.tsx b/app/components/Nav/index.tsx index 2b63efdf..bb32b568 100644 --- a/app/components/Nav/index.tsx +++ b/app/components/Nav/index.tsx @@ -33,7 +33,7 @@ export const Nav = ({toc, categories}: NavProps) => { primary={true} link="/chat/" icon={} - text="AI safety Chatbot" + text="AI Safety Chatbot" reload />
    • diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 7a8b35f9..1599a6d3 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -71,11 +71,11 @@ const ResearchPath = () => (

      • (
    ( There are many roles that support the work of AI alignment researchers, and having - high-performing people in these roles is crucial. In a research organisation around half - of the staff will be doing other tasks essential for the organisation to perform at its + high-performing people in these roles is crucial. In a research organization around half + of the staff will be doing other tasks essential for the organization to perform at its best and have an impact. Some of these roles include: (

    ( ( A process note: Form your own understanding of the AI alignment technical challenge} links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -434,7 +434,7 @@ const FieldBuildingPath = () => ( ]} > Founding a new project in AI safety involves identifying a gap in a pressing problem area, - formulating a solution, investigating it, and then helping to build an organisation by + formulating a solution, investigating it, and then helping to build an organization by investing in strategy, hiring, management, culture, and so on—ideally building something that can continue without you. @@ -445,8 +445,8 @@ const FieldBuildingPath = () => ( There are many roles that support the work of AI alignment researchers or people in AI governance, and having high-performing people in these roles is crucial. In a research - organisation, for example, around half of the staff will be doing other tasks essential - for the organisation to perform at its best and have an impact. Some of the most common + organization, for example, around half of the staff will be doing other tasks essential + for the organization to perform at its best and have an impact. Some of the most common supporting roles in AI safety include: (

    ( action="#research" iconColor="var(--colors-teal-700)" title="AI alignment research" - description="Research roles dedicated to solving the technical challenge of AI alignment, and non—technical supporting roles" + description="Research roles dedicated to solving the technical challenge of AI alignment, and non-technical supporting roles" icon={Microscope} /> ( href="https://www.youtube.com/playlist?list=PLWQikawCP4UFM_ziLf9X2rcOLCSbqisRE" className="small-bold teal-500" > - Intro to AI Safety video playlist + AI Safety Intro video playlist } @@ -132,7 +132,7 @@ const WhatYouCanDo = () => ( >

    Add your signature next to Elon Musk, Steve Wozniak, and Stuart Russel in the most - well-known AI Safety petition, “Pause Giant AI Experiments: An Open Letter” + well-known AI safety petition, “Pause Giant AI Experiments: An Open Letter”

    diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 688f019a..24505eaf 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -138,7 +138,7 @@ const Options = () => (
    From d035317d4df4f0910c05614be57a7b9c104f7e0e Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Tue, 29 Oct 2024 20:42:48 -0400 Subject: [PATCH 075/106] Remove unused imports --- app/routes/how-can-i-help.community.tsx | 4 ---- 1 file changed, 4 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index a0d39d00..75b6ce65 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -1,11 +1,7 @@ import {MetaFunction} from '@remix-run/node' -import DropDown from '~/components/DropDown' import HelpItem from '~/components/HowCanIHelp/HelpItem' -import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Base from '~/components/HowCanIHelp/Base' import {useEffect} from 'react' -import VideoImg from '~/assets/video_thumbnail.png' -import PlayIcon from '~/components/icons-generated/Play' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] From 4f1c4308085832d116526c290869f5313f7fd52f Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Tue, 29 Oct 2024 20:45:23 -0400 Subject: [PATCH 076/106] Changed "In person" for "in-person" As per Bryce's recommendation --- app/routes/how-can-i-help.community.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 75b6ce65..210aa35b 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -12,10 +12,10 @@ const InPerson = () => (

    - In person communities + In-person communities

    - In person communities provide general purpose support, networking, and socializing for + In-person communities provide general purpose support, networking, and socializing for anyone interested in contributing to AI safety.

    {/* TODO make this only appear in left part of page */} From 3c7a017faebcc645e302cb68020c4a854cfe5d54 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Tue, 29 Oct 2024 20:57:28 -0400 Subject: [PATCH 077/106] Update with col-6 --- app/routes/how-can-i-help.community.tsx | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 210aa35b..4c1be1ac 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -10,15 +10,14 @@ export const meta: MetaFunction = () => { const InPerson = () => ( <>
    -
    -

    +
    +

    In-person communities

    -

    +

    In-person communities provide general purpose support, networking, and socializing for anyone interested in contributing to AI safety.

    - {/* TODO make this only appear in left part of page */}
    ( const Online = () => ( <>
    -
    -

    +
    +

    Online communities

    -

    +

    Online communities typically exist on Slack, Discord (an app like Slack), or website forums, and tend to serve more specific purposes:

    - {/* TODO make this only appear in left part of page */}
    Date: Tue, 29 Oct 2024 21:01:36 -0400 Subject: [PATCH 078/106] sed /AI Safety/AI safety/g --- app/routes/how-can-i-help.community.tsx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 4c1be1ac..cee87d3b 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -29,7 +29,7 @@ const InPerson = () => ( ]} >

    - There are about 60 in-person AI Safety communities across the globe, mostly in major + There are about 60 in-person AI safety communities across the globe, mostly in major cities. These communities typically host weekly meetups in which members network, socialize, or review AI safety material in the form of talks or workshops.

    @@ -48,8 +48,8 @@ const InPerson = () => ( ]} >

    - AI Safety is a major topic in Effective Altruism (EA) and Rationalism. Consider joining a - local EA or Rationalist group if you can't find an AI Safety community near you. + AI safety is a major topic in Effective Altruism (EA) and Rationalism. Consider joining a + local EA or Rationalist group if you can't find an AI safety community near you.

    From 615416006614f4d7f7837c0aba5a09d89e4c92a8 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Tue, 29 Oct 2024 21:03:17 -0400 Subject: [PATCH 079/106] Added specific AI tag for LW --- app/routes/how-can-i-help.community.tsx | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index cee87d3b..55862ffb 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -105,9 +105,8 @@ const Online = () => ( { tag: 'Top recommendation', title: 'Lesswrong', - action: 'https://www.lesswrong.com/', + action: 'https://www.lesswrong.com/tag/ai', }, - // TODO: do we want to link to a specific tag here? ]} >

    From cd66a22af208caaeb181ce6e19fdeda8815e23f1 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Tue, 29 Oct 2024 21:15:50 -0400 Subject: [PATCH 080/106] Integrated PauseAI to the community --- app/routes/how-can-i-help.community.tsx | 15 ++++++++++++--- 1 file changed, 12 insertions(+), 3 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 55862ffb..75afb04d 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -92,11 +92,20 @@ const Online = () => (

    - +

    - Such as volunteering for a certain project or organizing and attending protests. + You can volunteering for projects and attend protests. People are divided regarding + whether protests or a pause in AI development are a good idea, but if it's something you + want to do, PauseAI is a reliable organization in that space.

    - {/* TODO there seems to be lacking text or a link in the figma */}     Date: Tue, 29 Oct 2024 21:42:19 -0400 Subject: [PATCH 081/106] Updated "Rob" to "Robert" --- app/routes/how-can-i-help.knowledge.tsx | 8 +++----- 1 file changed, 3 insertions(+), 5 deletions(-) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index f81e8647..f65c79c6 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -114,14 +114,14 @@ const Dropdowns = () => ( links={[ { tag: 'Top recommendation', - title: 'Rob Miles AI Safety', + title: 'Robert Miles AI Safety', action: 'https://www.youtube.com/c/robertmilesai', }, ]} > - We recommend the Youtube channel Robert Miles AI Safety, which presents complex AI safety + We recommend the YouTube channel Robert Miles AI Safety, which presents complex AI safety concepts in an accessible format to foster understanding and awareness about the ethical and - safety considerations in AI development. (Rob is also the founder of this site, + safety considerations in AI development. (Robert is also the founder of this site, AISafety.info) @@ -335,8 +335,6 @@ export default function Knowledge() { - - {/* TODO: Boost your learning efforts, Nemo's job */} ) } From 9192dd2c31f220941e4bae61e9a38dd8ecc831ac Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Thu, 31 Oct 2024 14:53:47 -0400 Subject: [PATCH 082/106] CSS --- app/assets/icons/play.svg | 4 +- app/components/LinkCard/index.tsx | 8 ++- app/components/LinkCard/linkcard.css | 16 +++++- app/components/icons-generated/Play.tsx | 10 ++-- app/root.css | 75 +++++++++++++++++++++++++ app/routes/how-can-i-help.community.tsx | 25 +++++---- app/routes/how-can-i-help.knowledge.tsx | 27 ++++----- 7 files changed, 129 insertions(+), 36 deletions(-) diff --git a/app/assets/icons/play.svg b/app/assets/icons/play.svg index 6d1f5576..f2a36fdb 100644 --- a/app/assets/icons/play.svg +++ b/app/assets/icons/play.svg @@ -1,3 +1,3 @@ - - + + diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index 2bb18e49..8ad9f6ea 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -16,10 +16,12 @@ export type LinkCardProps = Link & { const LinkCard: React.FC = ({title, image, tag, action, className}) => (
    {tag}
    } -

    +

    {image && {image}} - {title} +

    + {tag &&
    {tag}
    } + {title} +

    diff --git a/app/components/LinkCard/linkcard.css b/app/components/LinkCard/linkcard.css index 1d2b3a03..36dbb52a 100644 --- a/app/components/LinkCard/linkcard.css +++ b/app/components/LinkCard/linkcard.css @@ -1,7 +1,6 @@ .link-card { min-height: 104px; height: fit-content; - display: flex; flex-direction: column; justify-content: center; gap: var(--spacing-8); @@ -24,3 +23,18 @@ top: var(--spacing-8); right: var(--spacing-8); } + +.link-card .image img { + display: block; +} + +.link-card .image { + position: relative; +} + +.link-card .image svg { + position: absolute; + top: 50%; + left: 50%; + transform: translate(-50%, -50%); +} diff --git a/app/components/icons-generated/Play.tsx b/app/components/icons-generated/Play.tsx index 86c0b851..bcb9f224 100644 --- a/app/components/icons-generated/Play.tsx +++ b/app/components/icons-generated/Play.tsx @@ -1,11 +1,11 @@ import type {SVGProps} from 'react' const SvgPlay = (props: SVGProps) => ( - + ) diff --git a/app/root.css b/app/root.css index 3283618e..5cfa5b72 100644 --- a/app/root.css +++ b/app/root.css @@ -530,10 +530,70 @@ h2 { gap: var(--spacing-64); } +.gap-4 { + gap: var(--spacing-4) !important; +} + +.gap-8 { + gap: var(--spacing-8) !important; +} + +.gap-12 { + gap: var(--spacing-12) !important; +} + .gap-16 { gap: var(--spacing-16) !important; } +.gap-24 { + gap: var(--spacing-24) !important; +} + +.gap-32 { + gap: var(--spacing-32) !important; +} + +.gap-40 { + gap: var(--spacing-40) !important; +} + +.gap-48 { + gap: var(--spacing-48) !important; +} + +.gap-56 { + gap: var(--spacing-56) !important; +} + +.gap-64 { + gap: var(--spacing-64) !important; +} + +.gap-80 { + gap: var(--spacing-80) !important; +} + +.gap-104 { + gap: var(--spacing-104) !important; +} + +.gap-128 { + gap: var(--spacing-128) !important; +} + +.gap-192 { + gap: var(--spacing-192) !important; +} + +.gap-288 { + gap: var(--spacing-288) !important; +} + +.flex-column { + flex-direction: column; +} + .center-align { align-items: center; } @@ -748,6 +808,21 @@ button { width: 87.2vw; } + /* mobile variables - this makes it so padding and margin on desktop is smaller on mobile */ + :root { + --spacing-24: 16px; + --spacing-32: 24px; + --spacing-40: 24px; + --spacing-48: 32px; + --spacing-56: 32px; + --spacing-64: 40px; + --spacing-80: 48px; + --spacing-104: 64px; + --spacing-128: 64px; + --spacing-192: 80px; + --spacing-288: 128px; + } + /* by default, all widths (.col-* and .col-*-alt) will transition to taking up full-width (87.2vw) on mobile */ .col-1, diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 75afb04d..63b1751d 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -9,9 +9,9 @@ export const meta: MetaFunction = () => { const InPerson = () => ( <> -
    -
    -

    +
    +
    +

    In-person communities

    @@ -20,15 +20,16 @@ const InPerson = () => (

    -

    +

    There are about 60 in-person AI safety communities across the globe, mostly in major cities. These communities typically host weekly meetups in which members network, socialize, or review AI safety material in the form of talks or workshops. @@ -58,9 +59,8 @@ const InPerson = () => ( const Online = () => ( <> -

    -
    -

    +
    +

    Online communities

    @@ -78,6 +78,7 @@ const Online = () => ( 'https://ai-alignment.slack.com/join/shared_invite/zt-1vd2yu4ib-3dLG4D82H7eXF_THvTdUKg#/shared-invite/email', }, ]} + className="padding-bottom-40" additionalInfo={ <> Or, browse our{' '} @@ -87,7 +88,7 @@ const Online = () => ( } > -

    +

    General hubs for support, motivation, discussion, and information-gathering.

    @@ -100,8 +101,9 @@ const Online = () => ( action: 'https://pauseai.info/events', }, ]} + className="padding-bottom-40" > -

    +

    You can volunteering for projects and attend protests. People are divided regarding whether protests or a pause in AI development are a good idea, but if it's something you want to do, PauseAI is a reliable organization in that space. @@ -118,11 +120,10 @@ const Online = () => ( }, ]} > -

    +

    Deep strategic and technical discussions regarding AI alignment and AI governance.

    -
    ) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 902c98ab..c0f9052b 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -32,21 +32,18 @@ const NewToAISafety = () => ( title: 'Intro to AI safety video playlist', action: 'https://aisafety.info/questions/9OGZ/', image: ( -
    - video-playlist - + video-playlist +
    ), }, ]} > -

    +

    Our website’s “Intro to AI safety” micro-course includes several short readings that act as a comprehensive introduction the topic of AI safety.

    @@ -87,6 +84,7 @@ const Dropdowns = () => (
    ( } > - We recommend the book "Uncontrollable," which concisely examines the risks posed by advanced + We recommend the book "Uncontrollable", which concisely examines the risks posed by advanced AI. The book highlights the need for effective AI governance and safety measures, and offers practical solutions to ensure AI benefits society while minimizing risks. @@ -111,6 +109,7 @@ const Dropdowns = () => ( ( > We recommend the YouTube channel Robert Miles AI Safety, which presents complex AI safety concepts in an accessible format to foster understanding and awareness about the ethical and - safety considerations in AI development. (Robert is also the founder of this site, + safety considerations in AI development. (Rob is also the founder of this site, AISafety.info) ( ( className="padding-bottom-40" links={[ { - tag: 'Highlight course', + tag: 'Highlighted course', title: 'AISF Governance Course', action: 'https://aisafetyfundamentals.com/governance/', }, { - tag: 'Highlight course', + tag: 'Highlighted course', title: 'AISF Alignment Course', action: 'https://aisafetyfundamentals.com/alignment/', }, From 9652ac13858dad30da306ad8eb326b1e51277780 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Thu, 31 Oct 2024 14:55:14 -0400 Subject: [PATCH 083/106] lint --- app/routes/how-can-i-help.community.tsx | 128 ++++++++++++------------ app/routes/how-can-i-help.knowledge.tsx | 5 +- 2 files changed, 63 insertions(+), 70 deletions(-) diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 63b1751d..cfb343bc 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -11,9 +11,7 @@ const InPerson = () => ( <>
    -

    - In-person communities -

    +

    In-person communities

    In-person communities provide general purpose support, networking, and socializing for anyone interested in contributing to AI safety. @@ -59,71 +57,69 @@ const InPerson = () => ( const Online = () => ( <> -

    -

    - Online communities -

    -

    - Online communities typically exist on Slack, Discord (an app like Slack), or website - forums, and tend to serve more specific purposes: -

    -
    - - Or, browse our{' '} - - full list of communities - - - } - > -

    - General hubs for support, motivation, discussion, and information-gathering. -

    -     +
    +

    Online communities

    +

    + Online communities typically exist on Slack, Discord (an app like Slack), or website forums, + and tend to serve more specific purposes: +

    +
    + + Or, browse our{' '} + + full list of communities + + + } + > +

    + General hubs for support, motivation, discussion, and information-gathering. +

    +     - -

    - You can volunteering for projects and attend protests. People are divided regarding - whether protests or a pause in AI development are a good idea, but if it's something you - want to do, PauseAI is a reliable organization in that space. -

    -     + +

    + You can volunteering for projects and attend protests. People are divided regarding whether + protests or a pause in AI development are a good idea, but if it's something you want to do, + PauseAI is a reliable organization in that space. +

    +     - -

    - Deep strategic and technical discussions regarding AI alignment and AI governance. -

    -     + +

    + Deep strategic and technical discussions regarding AI alignment and AI governance. +

    +     ) diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index c0f9052b..0fe5b542 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -33,10 +33,7 @@ const NewToAISafety = () => ( action: 'https://aisafety.info/questions/9OGZ/', image: (
    - video-playlist + video-playlist
    ), From 40a35f2f9f93b06c1c47caee543c352719fd7894 Mon Sep 17 00:00:00 2001 From: Myles Date: Fri, 1 Nov 2024 13:07:43 -0400 Subject: [PATCH 084/106] smooth scroll only on career --- app/routes/how-can-i-help.career.tsx | 72 ++++++++++++------------ app/routes/how-can-i-help.community.tsx | 7 --- app/routes/how-can-i-help.grassroots.tsx | 7 --- app/routes/how-can-i-help.knowledge.tsx | 7 --- app/routes/how-can-i-help.volunteer.tsx | 7 --- 5 files changed, 37 insertions(+), 63 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 380c753c..0b933cda 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -6,7 +6,6 @@ import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' -import {useEffect} from 'react' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -614,42 +613,45 @@ const FieldBuildingPath = () => ( ) -const CareerPaths = () => ( - <> -

    There are three major career paths:

    -
    - - - -
    - -) +const CareerPaths = () => { + const smoothScroll = (id: string) => { + const element = document.getElementById(id) + if (element) { + element.scrollIntoView({behavior: 'smooth'}) + window.history.pushState(null, '', `#${id}`) + } + } + return ( + <> +

    There are three major career paths:

    +
    + smoothScroll('research')} + iconColor="var(--colors-teal-700)" + title="AI alignment research" + description="Research roles dedicated to solving the technical challenge of AI alignment, and non—technical supporting roles" + icon={Microscope} + /> + smoothScroll('governance')} + iconColor="var(--colors-teal-700)" + title="AI governance & policy" + description="Roles focused on developing and implementing policies that guide AI development and usage" + icon={GovermentBuilding} + /> + smoothScroll('field-building')} + iconColor="var(--colors-teal-700)" + title="AI safety field-building" + description="Roles that direct talent or resources toward AI safety, educate the public, or build the AI safety community" + icon={PuzzlePieces} + /> +
    + + ) +} export default function HowCanIHelp() { - useEffect(() => { - document.documentElement.style.scrollBehavior = 'smooth' - return () => { - document.documentElement.style.scrollBehavior = 'auto' - } - }, []) return ( diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index cfb343bc..f51b9847 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -1,7 +1,6 @@ import {MetaFunction} from '@remix-run/node' import HelpItem from '~/components/HowCanIHelp/HelpItem' import Base from '~/components/HowCanIHelp/Base' -import {useEffect} from 'react' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -124,12 +123,6 @@ const Online = () => ( ) export default function Community() { - useEffect(() => { - document.documentElement.style.scrollBehavior = 'smooth' - return () => { - document.documentElement.style.scrollBehavior = 'auto' - } - }, []) return ( diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 2134b1de..c4ae7540 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -2,7 +2,6 @@ import {MetaFunction} from '@remix-run/node' import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Base from '~/components/HowCanIHelp/Base' -import {useEffect} from 'react' import VideoImg from '~/assets/video_thumbnail.png' import VideoThumbnail from '~/components/VideoThumbnail/videothumbnail' @@ -151,12 +150,6 @@ const WhatYouCanDo = () => ( ) export default function Grassroots() { - useEffect(() => { - document.documentElement.style.scrollBehavior = 'smooth' - return () => { - document.documentElement.style.scrollBehavior = 'auto' - } - }, []) return ( ( ) export default function Knowledge() { - useEffect(() => { - document.documentElement.style.scrollBehavior = 'smooth' - return () => { - document.documentElement.style.scrollBehavior = 'auto' - } - }, []) return ( diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index f47c0f78..3e07d238 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -4,7 +4,6 @@ import HelpItem from '~/components/HowCanIHelp/HelpItem' import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' -import {useEffect} from 'react' import BaginskiImg from '~/assets/Baginski.jpeg' import LonsImg from '~/assets/Lons.jpg' @@ -154,12 +153,6 @@ const Options = () => ( ) export default function Volunteer() { - useEffect(() => { - document.documentElement.style.scrollBehavior = 'smooth' - return () => { - document.documentElement.style.scrollBehavior = 'auto' - } - }, []) return ( Volunteer} current="volunteer"> From 8075bae9fb028aedbc46fd1811ad13c9292ad355 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 3 Nov 2024 13:19:19 -0500 Subject: [PATCH 085/106] Align text to left in CardSmall I never found why it was centered, but forced left alignment. We must check if it breaks other layouts --- app/components/CardSmall/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/components/CardSmall/index.tsx b/app/components/CardSmall/index.tsx index 7dd1e15e..f3bddc40 100644 --- a/app/components/CardSmall/index.tsx +++ b/app/components/CardSmall/index.tsx @@ -27,7 +27,7 @@ export default function CardSmall({ {icon({})}

    {title}

    -

    {description}

    +

    {description}

    ) } From 60c563bcfeacbc6a79af577c8b32e804b57cab88 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 3 Nov 2024 13:33:45 -0500 Subject: [PATCH 086/106] Update Governance to follow Technical --- app/routes/how-can-i-help.career.tsx | 22 ++++++---------------- 1 file changed, 6 insertions(+), 16 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 0b933cda..784cd1fd 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -114,12 +114,7 @@ const ResearchPath = () => ( - A process note: Form your own understanding of the AI alignment technical - challenge - - } + title={<>A process note: Form your own understanding of the AI alignment technical challenge} links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -260,12 +255,12 @@ const GovernancePath = () => (

    ( A process note: Form your own understanding of the AI alignment technical challenge} links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -570,12 +565,7 @@ const FieldBuildingPath = () => ( - A process note: Form your own understanding of the AI alignment technical - challenge - - } + title={<>A process note: Form your own understanding of the AI alignment technical challenge} links={[ { title: 'Our ‘Build your knowledge’ guide', From 7ee747bcab8d043115788a33efd57a340570957e Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 3 Nov 2024 13:39:27 -0500 Subject: [PATCH 087/106] Update Governance career --- app/routes/how-can-i-help.career.tsx | 13 +++++-------- 1 file changed, 5 insertions(+), 8 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 784cd1fd..97dd6e18 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -114,7 +114,7 @@ const ResearchPath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} + title="A process note: Build your knowledge so you can think critically about the roles you pursue" links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -311,13 +311,10 @@ const GovernancePath = () => ( }, ]} > - AI safety is a relatively new field with diverse opinions on how best to solve the technical - challenge of AI alignment. Many unexplored avenues and important questions likely remain - unaddressed. Therefore, it's crucial for (aspiring) AI alignment researchers to think - independently and develop their own models on this topic. If you pursue a career in this - field, we recommend deeply educating yourself on the technical challenge of alignment, - engaging with other AI safety experts, and thinking critically about the topic and current - paradigms. + Many roles that appear to advance safety may actually end up advancing AI capabilities, and + thus cause harm. We recommend learning more about AI safety—particularly the alignment + problem—and carefully considering that a role or action will make AI safer before pursuing + it.
    From 6994e5c63138ca17e5845979b976a99bf8e9056f Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 3 Nov 2024 13:45:07 -0500 Subject: [PATCH 088/106] Update Career links in dropdowns --- app/routes/how-can-i-help.career.tsx | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 97dd6e18..e70767d2 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -163,7 +163,7 @@ const ResearchPath = () => ( links={[ { title: "Read 80k's guide on research management", - action: '#', + action: 'https://80000hours.org/career-reviews/research-management/', }, ]} className="padding-bottom-40" @@ -179,7 +179,7 @@ const ResearchPath = () => ( links={[ { title: "Read 80k's guide on being an executive assistant", - action: '#', + action: 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', }, ]} > @@ -488,7 +488,7 @@ const FieldBuildingPath = () => ( links={[ { title: "Read 80k's guide on being an executive assistant", - action: '#', + action: 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', }, ]} > From e70b42a256a4ba11a0be0a2a93a8edd885cf9b61 Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Sun, 3 Nov 2024 13:46:04 -0500 Subject: [PATCH 089/106] Lint --- app/routes/how-can-i-help.career.tsx | 20 ++++++++++++++++---- 1 file changed, 16 insertions(+), 4 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index e70767d2..e9cdf0a9 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -179,7 +179,8 @@ const ResearchPath = () => ( links={[ { title: "Read 80k's guide on being an executive assistant", - action: 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', + action: + 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', }, ]} > @@ -299,7 +300,12 @@ const GovernancePath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} + title={ + <> + A process note: Form your own understanding of the AI alignment technical + challenge + + } links={[ { title: 'Our ‘Build your knowledge’ guide', @@ -488,7 +494,8 @@ const FieldBuildingPath = () => ( links={[ { title: "Read 80k's guide on being an executive assistant", - action: 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', + action: + 'https://80000hours.org/career-reviews/executive-assistant-for-an-impactful-person/', }, ]} > @@ -562,7 +569,12 @@ const FieldBuildingPath = () => ( A process note: Form your own understanding of the AI alignment technical challenge} + title={ + <> + A process note: Form your own understanding of the AI alignment technical + challenge + + } links={[ { title: 'Our ‘Build your knowledge’ guide', From f70adc8c0b993097be86b491b5a0dac191a3ca5d Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 5 Nov 2024 23:13:17 -0300 Subject: [PATCH 090/106] issue #817 stuff --- app/components/Article/article.css | 1 + app/components/ArticlesDropdown/dropdown.css | 14 +++ app/components/Card/index.tsx | 2 +- app/components/HowCanIHelp/HelpItem.tsx | 4 +- app/components/HowCanIHelp/HelpMethods.tsx | 2 +- .../HowCanIHelp/category-carousel.css | 4 +- app/root.css | 16 ++- app/routes/how-can-i-help.career.tsx | 101 ++++++++---------- app/routes/how-can-i-help.community.tsx | 19 ++-- app/routes/how-can-i-help.donate.tsx | 13 ++- app/routes/how-can-i-help.grassroots.tsx | 25 +++-- app/routes/how-can-i-help.knowledge.tsx | 67 ++++++++---- app/routes/how-can-i-help.volunteer.tsx | 32 ++++-- 13 files changed, 184 insertions(+), 116 deletions(-) diff --git a/app/components/Article/article.css b/app/components/Article/article.css index ccd578a8..ad2ce8c2 100644 --- a/app/components/Article/article.css +++ b/app/components/Article/article.css @@ -59,6 +59,7 @@ article .tag { border-color: var(--colors-teal-100); color: var(--colors-teal-500); padding: 0 var(--spacing-16); + height: 32px; } article .tag:hover { diff --git a/app/components/ArticlesDropdown/dropdown.css b/app/components/ArticlesDropdown/dropdown.css index 745f3af1..48e478e4 100644 --- a/app/components/ArticlesDropdown/dropdown.css +++ b/app/components/ArticlesDropdown/dropdown.css @@ -33,3 +33,17 @@ border-right: 0; } } + +.articles-dropdown-container .secondary span { + white-space: nowrap; + font-size: 16px !important; + display: flex; + align-items: center; + justify-content: center; + font-size: inherit; +} + +.articles-dropdown-container .secondary { + width: fit-content; + min-width: max-content; +} \ No newline at end of file diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index 17564bc0..ec0000ab 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -28,7 +28,7 @@ export default function Card({

    - + {/* TESTIMONIALS TEMPORARILY REMOVED
    ( className="col-6" />
    + */} ( ]} > Communications involves educating the public or spreading the word about AI safety—most - typically through websites or social media. People with computer skills and creative skills + typically through websites or social media. People with computer skills or creative skills can typically find a place within communications. Roles could include independent content production, software engineering, project management, or design. @@ -459,7 +453,7 @@ const FieldBuildingPath = () => ( className="padding-bottom-40" links={[ { - title: "Read 80k's guide on operations work", + title: "Read 80k's guide on operations management", action: 'https://80000hours.org/articles/operations-management', }, ]} @@ -512,7 +506,7 @@ const FieldBuildingPath = () => ( className="padding-bottom-40" links={[ { - title: "Read 80k's guide on Information security in high-impact areas", + title: "Read 80k's guide on information security in high-impact areas", action: 'https://80000hours.org/career-reviews/information-security', }, ]} @@ -525,7 +519,7 @@ const FieldBuildingPath = () => ( title="Becoming an expert in AI hardware as a way of steering AI progress in safer directions" links={[ { - title: "Read 80k's guide on expertise in AI hardware", + title: "Read 80k's guide on becoming an expert in AI hardware", action: 'https://80000hours.org/career-reviews/become-an-expert-in-ai-hardware', }, ]} @@ -538,8 +532,8 @@ const FieldBuildingPath = () => (

    Interested in pursuing this career path?

    -

    - Take the following steps to (1) learn more & further assess your fit; (2) learn how to +

    + Take the following steps to (1) learn more and further assess your fit; (2) learn how to make the transition

    @@ -570,28 +564,17 @@ const FieldBuildingPath = () => ( - A process note: Form your own understanding of the AI alignment technical - challenge + A process note: Build your knowledge so you can think critically about the roles you pursue } links={[ { - title: 'Our ‘Build your knowledge’ guide', - action: 'https://aisafety.info/howcanihelp/knowledge', - }, - { - title: 'Our ‘Join a community’ guide', - action: 'https://aisafety.info/howcanihelp/community', + title: 'Our \u201CBuild your knowledge\u201D guide', + action: 'https://aisafety.info/how-can-i-help/knowledge', }, ]} > - AI safety is a relatively new field with diverse opinions on how best to solve the technical - challenge of AI alignment. Many unexplored avenues and important questions likely remain - unaddressed. Therefore, it's crucial for AI alignment researchers (or aspiring researchers) - to think independently and develop their own models on this topic. If you pursue a career in - this field, we recommend deeply educating yourself on the technical challenge of alignment, - engaging with other AI safety experts, and thinking critically about the topic and current - paradigms. + Many roles that appear to advance safety may actually end up advancing AI capabilities, and thus cause harm. We recommend learning more about AI safety—particularly the alignment problem—and carefully considering that a role or action will make AI safer before pursuing it.
    diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index f51b9847..42d5ec91 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -20,7 +20,7 @@ const InPerson = () => ( title="AI safety-specific communities" links={[ { - title: 'Our list of in-person communities', + title: 'Our list of communities', action: 'https://www.aisafety.com/communities', }, ]} @@ -36,11 +36,11 @@ const InPerson = () => ( title="Related communities" links={[ { - title: 'EA groups map', + title: 'Map of EA groups', action: 'https://forum.effectivealtruism.org/groups', }, { - title: 'Rationalist groups map', + title: 'Map of Rationalist groups', action: 'https://www.lesswrong.com/community', }, ]} @@ -68,7 +68,7 @@ const Online = () => ( links={[ { tag: 'Top recommendation', - title: 'AI alignment slack', + title: 'AI Alignment Slack', action: 'https://ai-alignment.slack.com/join/shared_invite/zt-1vd2yu4ib-3dLG4D82H7eXF_THvTdUKg#/shared-invite/email', }, @@ -77,7 +77,12 @@ const Online = () => ( additionalInfo={ <> Or, browse our{' '} - + full list of communities @@ -99,7 +104,7 @@ const Online = () => ( className="padding-bottom-40" >

    - You can volunteering for projects and attend protests. People are divided regarding whether + You can volunteer for projects and attend protests. People are divided regarding whether protests or a pause in AI development are a good idea, but if it's something you want to do, PauseAI is a reliable organization in that space.

    @@ -110,7 +115,7 @@ const Online = () => ( links={[ { tag: 'Top recommendation', - title: 'Lesswrong', + title: 'LessWrong', action: 'https://www.lesswrong.com/tag/ai', }, ]} diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 1413a522..6e4b991d 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -25,7 +25,7 @@ export default function Donate() {

    Why this is important

    - The AI safety field is funding-limited as of mid-2023, and there are important avenues + The AI safety field is funding-limited as of late 2024, and there are important avenues in AI alignment research and AI governance that cannot currently be explored due to this lack of funding.

    @@ -50,7 +50,12 @@ export default function Donate() { additionalInfo={ <> Or, browse our{' '} - + other grantmaker recommendations @@ -82,8 +87,9 @@ export default function Donate() { src="/assets/guy.jpeg" title="Søren Elverlin" description="I've directly funded several small-scale AI safety projects and found it highly rewarding. The field is often funding-constrained, and many valuable projects are overlooked by large funders. By taking time to understand individuals' goals and approaches, I've been able to make a meaningful impact with targeted, direct donations." - className="col-6" + layout="expanded" /> + {/* TESTIMONIALS TEMPORARILY REMOVED + */}
    diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 59245ef6..2b7e4718 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -17,7 +17,7 @@ const TopText = () => (

    Who

    For anyone—help us spread the word about this issue to friends, those in your social - media or professional network, or whomever. + media or professional network, or whomever

    @@ -52,16 +52,18 @@ const WhatYouCanDo = () => ( Or, choose another from our{' '} - AI Safety Intro video playlist + AI safety intro video playlist } >

    - We recommend sharing "A.I. - Humanity's Final Invention?", which gives an accessible - overview to the topic of AI and existential risk + We recommend sharing A.I. - “Humanity's Final Invention?”, which gives an accessible + overview of the topic of AI and existential risk

    @@ -85,11 +87,11 @@ const WhatYouCanDo = () => ( ( title="Talk to people about this topic" links={[ { - title: 'A guide to counter-arguments', + title: 'A guide to counterarguments', action: 'https://pauseai.info/counterarguments', }, ]} @@ -125,14 +127,19 @@ const WhatYouCanDo = () => ( additionalInfo={ <> You could also look into{' '} - + other major petitions } >

    - Add your signature next to Elon Musk, Steve Wozniak, and Stuart Russel in the most + Add your signature next to Elon Musk, Steve Wozniak, and “godfather of AI” Yoshua Bengio in the most well-known AI safety petition, “Pause Giant AI Experiments: An Open Letter”

    diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 3838277a..26a9ea31 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -24,12 +24,12 @@ const NewToAISafety = () => ( links={[ { tag: 'Top recommendation', - title: "'Intro to AI safety' micro-course", + title: "\u201CIntro to AI safety\u201D micro-course", action: 'https://aisafety.info/questions/9OGZ/', }, { title: 'Intro to AI safety video playlist', - action: 'https://aisafety.info/questions/9OGZ/', + action: 'https://www.youtube.com/playlist?list=PLWQikawCP4UFM_ziLf9X2rcOLCSbqisRE', image: (
    video-playlist @@ -53,14 +53,19 @@ const NewToAISafety = () => ( links={[ { tag: 'Top recommendation', - title: "'Paul Christiano - Preventing an AI Takeover'", + title: "Paul Christiano—Preventing an AI Takeover", action: 'https://www.dwarkeshpatel.com/p/paul-christiano', }, ]} additionalInfo={ <> Browse our{' '} - + full list of podcasts @@ -84,29 +89,34 @@ const Dropdowns = () => ( links={[ { tag: 'Top recommendation', - title: 'Uncontrollable', + title: '\u201CUncontrollable\u201D by Darren McKee', action: 'https://www.goodreads.com/book/show/202416160-uncontrollable', }, ]} additionalInfo={ <> Or, read our{' '} - + full list of AI safety book recommendations } > - We recommend the book "Uncontrollable", which concisely examines the risks posed by advanced + We recommend the book “Uncontrollable” by Darren McKee, which concisely examines the risks posed by advanced AI. The book highlights the need for effective AI governance and safety measures, and offers practical solutions to ensure AI benefits society while minimizing risks. - + ( We recommend the YouTube channel Robert Miles AI Safety, which presents complex AI safety concepts in an accessible format to foster understanding and awareness about the ethical and safety considerations in AI development. (Rob is also the founder of this site, - AISafety.info) + AISafety.info). ( additionalInfo={ <> Or, browse our{' '} - + full list of podcasts @@ -151,7 +166,7 @@ const Dropdowns = () => ( links={[ { tag: 'Top recommendation', - title: 'Center for AI Safety Newsletter', + title: 'AI Safety Newsletter', action: 'https://newsletter.safe.ai/', }, ]} @@ -162,7 +177,7 @@ const Dropdowns = () => ( ( additionalInfo={ <> Or, browse our{' '} - + full list of courses @@ -228,6 +248,8 @@ const DiveDeeper = () => ( additional views on AI safety to help avoid homogeneity in the field, such as{' '} The Most Important Century blog post series @@ -235,19 +257,17 @@ const DiveDeeper = () => ( .

    - Note: AISF courses do not accept all applicants, but - we still recommend taking the courses through self-study if your application is - unsuccessful. + Note: AISF courses do not accept all applicants. We recommend taking the courses through self-study if your application is unsuccessful.

    ( additionalInfo={ <> Or, browse our{' '} - - full list of events + + full list of upcoming events } diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 3b8d20f2..743e5dd5 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -18,7 +18,7 @@ const TopText = () => (

    Who

    - Pretty much any skill set can be adapted to a volunteer role. Some commonly sought-after + Almost any skill set can be adapted to a volunteer role. Some commonly sought-after skills include technical expertise (such as math and code), communications, project management, and general organizing.

    @@ -27,8 +27,8 @@ const TopText = () => (

    Why this is important

    Volunteering, especially in areas of field-building and movement-building, supports - efforts that are important but bottlenecked by AI safety’s funding shortage – such as - AISafety.com and AI Safety Quest. + efforts that are important but bottlenecked by AI safety’s funding shortage—such as + AISafety.com and AI Safety Quest

    @@ -105,7 +105,12 @@ const Options = () => ( additionalInfo={ <> Or, learn more about AED on{' '} - + their website @@ -113,9 +118,9 @@ const Options = () => ( >

    {' '} - Alignment Ecosystem Development (AED) is a community of volunteers supporting online AI - safety field-building projects like AISafety.com and AISafety Quest. Join an existing - project or pitch your own and recruit help. + Alignment Ecosystem Development (AED) is an organization and community of volunteers supporting online AI + safety field-building projects like AISafety.com and AI Safety Quest. You can join an existing + project or pitch your own to recruit help.

    @@ -137,12 +142,19 @@ const Options = () => (
    - + {/* TESTIMONIALS TEMPORARILY REMOVED + + */}
    From 71ab1feaf23ddaacbf0422db33229d334f236186 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Wed, 6 Nov 2024 13:04:38 -0300 Subject: [PATCH 091/106] cleaned lint --- app/components/ArticlesDropdown/dropdown.css | 2 +- app/components/HowCanIHelp/HelpMethods.tsx | 3 +- app/routes/how-can-i-help.career.tsx | 64 +- app/routes/how-can-i-help.donate.tsx | 8 +- app/routes/how-can-i-help.grassroots.tsx | 8 +- app/routes/how-can-i-help.knowledge.tsx | 14 +- app/routes/how-can-i-help.volunteer.tsx | 9 +- package-lock.json | 48957 ++++++----------- package.json | 2 +- 9 files changed, 17005 insertions(+), 32062 deletions(-) diff --git a/app/components/ArticlesDropdown/dropdown.css b/app/components/ArticlesDropdown/dropdown.css index 48e478e4..84bc4ce0 100644 --- a/app/components/ArticlesDropdown/dropdown.css +++ b/app/components/ArticlesDropdown/dropdown.css @@ -46,4 +46,4 @@ .articles-dropdown-container .secondary { width: fit-content; min-width: max-content; -} \ No newline at end of file +} diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 26a0026b..45e35aa5 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -55,7 +55,8 @@ const titles = { } const knowledgeDescriptions = { - donate: 'Knowing more about this topic will allow you to make wiser donation decisions, meaning your funds will have a greater impact', + donate: + 'Knowing more about this topic will allow you to make wiser donation decisions, meaning your funds will have a greater impact', grassroots: 'The second-best way to increase your impact as an advocate is educating yourself on your own', volunteer: 'The more you know about this topic, the further your volunteer efforts will go', diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index ce226ddd..80c5ce20 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -31,9 +31,11 @@ const ResearchPath = () => (

    Why this is important

    - To ensure humanity benefits from advanced AI and mitigates catastrophic risks, we must first solve the technical challenge of AI alignment through dedicated research, and then collaborate globally to carefully deploy solutions. While experts believe alignment is solvable, it remains a complex problem that demands significant high-quality intellectual talent. - - + To ensure humanity benefits from advanced AI and mitigates catastrophic risks, we must + first solve the technical challenge of AI alignment through dedicated research, and then + collaborate globally to carefully deploy solutions. While experts believe alignment is + solvable, it remains a complex problem that demands significant high-quality + intellectual talent.

    @@ -45,8 +47,8 @@ const ResearchPath = () => (

    *Note: Beware of the risk of joining industry - “safety” teams, as this work often leaks to non-safety parts of the organization which - improves the AI technology itself—and so ends up causing harm. + “safety” teams, as this work often leaks to non-safety parts of the + organization which improves the AI technology itself—and so ends up causing harm.

    @@ -72,7 +74,7 @@ const ResearchPath = () => ( links={[ { tag: 'Top recommendation', - title: '80k\'s technical AI safety career review', + title: "80k's technical AI safety career review", action: 'https://80000hours.org/career-reviews/ai-safety-researcher/', }, ]} @@ -188,7 +190,7 @@ const ResearchPath = () => (
    - {/* TESTIMONIALS TEMPORARILY REMOVED + {/* TESTIMONIALS TEMPORARILY REMOVED
    (

    What

    -

    AI governance is an emerging field focused on shaping how AI technology is developed and deployed through policy, corporate practices, and international coordination. Professionals in this space work to prevent catastrophic risks from advanced AI systems, ensure AI benefits society while minimizing harms, and create frameworks for safe and responsible AI development.

    +

    + AI governance is an emerging field focused on shaping how AI technology is developed and + deployed through policy, corporate practices, and international coordination. + Professionals in this space work to prevent catastrophic risks from advanced AI systems, + ensure AI benefits society while minimizing harms, and create frameworks for safe and + responsible AI development. +

    - {/* I think the following three paragraphs need some more editing */} + {/* Melissa is still editing the following three paragraphs */}

    Why this is important

    -

    To ensure humanity benefits from advanced AI and mitigates catastrophic risks, working to solve the technical challenge of AI alignment is not enough. We must ensure that before it is solved, AI is tested, overseen, and does not grow too quickly. If AI alignment is solved, we must carefully deploy solutions. Both these tasks will require organized efforts and global coordination.

    +

    + To ensure humanity benefits from advanced AI and mitigates catastrophic risks, working + to solve the technical challenge of AI alignment is not enough. We must ensure that + before it is solved, AI is tested, overseen, and does not grow too quickly. If AI + alignment is solved, we must carefully deploy solutions. Both these tasks will require + organized efforts and global coordination. +

    Where these people usually work

    @@ -242,7 +256,16 @@ const GovernancePath = () => (

    You might be a good fit if...

    -

    You might want to consider working in these areas if the following tasks fit your abilities and interests: Building support for international treaties regulating AI; preventing the deployment of AI systems that pose a significant and direct threat of catastrophe; mitigating the negative impact of AI technology on other catastrophic risks, such as nuclear weapons and biotechnology; slowing down AI progress when we aren't on track to make AI safe; building government capacity to evaluate frontier AI for danger; examining the threats misaligned AI poses to social infrastructure; analysing which policies would discourage an AI arms race. .

    +

    + You might want to consider working in these areas if the following tasks fit your + abilities and interests: Building support for international treaties regulating AI; + preventing the deployment of AI systems that pose a significant and direct threat of + catastrophe; mitigating the negative impact of AI technology on other catastrophic + risks, such as nuclear weapons and biotechnology; slowing down AI progress when we + aren't on track to make AI safe; building government capacity to evaluate frontier AI + for danger; examining the threats misaligned AI poses to social infrastructure; + analyzing which policies would discourage an AI arms race. +

    @@ -259,7 +282,7 @@ const GovernancePath = () => ( links={[ { tag: 'Top recommendation', - title: '80k\'s AI governance and policy career review', + title: "80k's AI governance and policy career review", action: 'https://80000hours.org/career-reviews/ai-policy-and-strategy/', }, ]} @@ -289,7 +312,9 @@ const GovernancePath = () => ( ]} >

    - Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will address your specific questions about the field of AI governance and policy, confirm your interest and fit, and provide tailored recommendations to help you make the transition. + Schedule a 30-minute or 1-hour video call—we recommend booking both! These calls will + address your specific questions about the field of AI governance and policy, confirm your + interest and fit, and provide tailored recommendations to help you make the transition.

    Note: 80,000 Hours does not accept all applicants. @@ -299,7 +324,8 @@ const GovernancePath = () => ( - A process note: Build your knowledge so you can think critically about the roles you pursue + A process note: Build your knowledge so you can think critically about the roles you + pursue } links={[ @@ -315,7 +341,7 @@ const GovernancePath = () => ( it.

    - {/* TESTIMONIALS TEMPORARILY REMOVED + {/* TESTIMONIALS TEMPORARILY REMOVED
    ( - A process note: Build your knowledge so you can think critically about the roles you pursue + A process note: Build your knowledge so you can think critically about the roles you + pursue } links={[ @@ -574,7 +601,10 @@ const FieldBuildingPath = () => ( }, ]} > - Many roles that appear to advance safety may actually end up advancing AI capabilities, and thus cause harm. We recommend learning more about AI safety—particularly the alignment problem—and carefully considering that a role or action will make AI safer before pursuing it. + Many roles that appear to advance safety may actually end up advancing AI capabilities, and + thus cause harm. We recommend learning more about AI safety—particularly the alignment + problem—and carefully considering that a role or action will make AI safer before pursuing + it.
    diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 6e4b991d..b777792c 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -25,9 +25,9 @@ export default function Donate() {

    Why this is important

    - The AI safety field is funding-limited as of late 2024, and there are important avenues - in AI alignment research and AI governance that cannot currently be explored due to - this lack of funding. + The AI safety field is funding-limited as of late 2024, and there are important + avenues in AI alignment research and AI governance that cannot currently be explored + due to this lack of funding.

    @@ -89,7 +89,7 @@ export default function Donate() { description="I've directly funded several small-scale AI safety projects and found it highly rewarding. The field is often funding-constrained, and many valuable projects are overlooked by large funders. By taking time to understand individuals' goals and approaches, I've been able to make a meaningful impact with targeted, direct donations." layout="expanded" /> - {/* TESTIMONIALS TEMPORARILY REMOVED + {/* TESTIMONIALS TEMPORARILY REMOVED ( } >

    - We recommend sharing A.I. - “Humanity's Final Invention?”, which gives an accessible - overview of the topic of AI and existential risk + We recommend sharing A.I. - “Humanity's Final Invention?”, which gives an + accessible overview of the topic of AI and existential risk

    @@ -139,8 +139,8 @@ const WhatYouCanDo = () => ( } >

    - Add your signature next to Elon Musk, Steve Wozniak, and “godfather of AI” Yoshua Bengio in the most - well-known AI safety petition, “Pause Giant AI Experiments: An Open Letter” + Add your signature next to Elon Musk, Steve Wozniak, and “godfather of AI” Yoshua Bengio + in the most well-known AI safety petition, “Pause Giant AI Experiments: An Open Letter”

    diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 26a9ea31..c3075c25 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -24,7 +24,7 @@ const NewToAISafety = () => ( links={[ { tag: 'Top recommendation', - title: "\u201CIntro to AI safety\u201D micro-course", + title: '\u201CIntro to AI safety\u201D micro-course', action: 'https://aisafety.info/questions/9OGZ/', }, { @@ -53,7 +53,7 @@ const NewToAISafety = () => ( links={[ { tag: 'Top recommendation', - title: "Paul Christiano—Preventing an AI Takeover", + title: 'Paul Christiano—Preventing an AI Takeover', action: 'https://www.dwarkeshpatel.com/p/paul-christiano', }, ]} @@ -107,9 +107,10 @@ const Dropdowns = () => ( } > - We recommend the book “Uncontrollable” by Darren McKee, which concisely examines the risks posed by advanced - AI. The book highlights the need for effective AI governance and safety measures, and offers - practical solutions to ensure AI benefits society while minimizing risks. + We recommend the book “Uncontrollable” by Darren McKee, which concisely examines + the risks posed by advanced AI. The book highlights the need for effective AI governance and + safety measures, and offers practical solutions to ensure AI benefits society while + minimizing risks. @@ -257,7 +258,8 @@ const DiveDeeper = () => ( .

    - Note: AISF courses do not accept all applicants. We recommend taking the courses through self-study if your application is unsuccessful. + Note: AISF courses do not accept all applicants. We + recommend taking the courses through self-study if your application is unsuccessful.

    diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index 743e5dd5..bf978a03 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -5,7 +5,6 @@ import CategoryCarousel from '~/components/HowCanIHelp/CatgoryCarousel' import Testimonial from '~/components/Testimonial' import Base from '~/components/HowCanIHelp/Base' import BaginskiImg from '~/assets/Baginski.jpeg' -import LonsImg from '~/assets/Lons.jpg' export const meta: MetaFunction = () => { return [{title: 'How Can I Help? - AISafety.info'}] @@ -118,9 +117,9 @@ const Options = () => ( >

    {' '} - Alignment Ecosystem Development (AED) is an organization and community of volunteers supporting online AI - safety field-building projects like AISafety.com and AI Safety Quest. You can join an existing - project or pitch your own to recruit help. + Alignment Ecosystem Development (AED) is an organization and community of volunteers + supporting online AI safety field-building projects like AISafety.com and AI Safety + Quest. You can join an existing project or pitch your own to recruit help.

    @@ -142,7 +141,7 @@ const Options = () => (
    - {/* TESTIMONIALS TEMPORARILY REMOVED + {/* TESTIMONIALS TEMPORARILY REMOVED =6.9.0" } }, "node_modules/@babel/core": { - "version": "7.24.7", - "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.24.7.tgz", - "integrity": "sha512-nykK+LEK86ahTkX/3TgauT0ikKoNCfKHEaZYTUVupJdTLzGNvrblu4u6fa7DhZONAltdf8e662t/abY8idrd/g==", + "version": "7.26.0", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.26.0.tgz", + "integrity": "sha512-i1SLeK+DzNnQ3LL/CswPCa/E5u4lh1k6IAEphON8F+cXt0t9euTshDru0q7/IqMa1PMPz5RnHuHscF8/ZJsStg==", "dev": true, + "license": "MIT", "dependencies": { "@ampproject/remapping": "^2.2.0", - "@babel/code-frame": "^7.24.7", - "@babel/generator": "^7.24.7", - "@babel/helper-compilation-targets": "^7.24.7", - "@babel/helper-module-transforms": "^7.24.7", - "@babel/helpers": "^7.24.7", - "@babel/parser": "^7.24.7", - "@babel/template": "^7.24.7", - "@babel/traverse": "^7.24.7", - "@babel/types": "^7.24.7", + "@babel/code-frame": "^7.26.0", + 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"dev": true + "dev": true, + "license": "MIT", + "engines": { + "node": ">=6" + } }, - "yocto-queue": { + "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", - "dev": true + "dev": true, + "license": "MIT", + "engines": { + "node": ">=10" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } }, - "youch": { - "version": "3.3.3", - "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.3.tgz", - "integrity": "sha512-qSFXUk3UZBLfggAW3dJKg0BMblG5biqSF8M34E06o5CSsZtH92u9Hqmj2RzGiHDi64fhe83+4tENFP2DB6t6ZA==", + "node_modules/youch": { + "version": "3.3.4", + "resolved": "https://registry.npmjs.org/youch/-/youch-3.3.4.tgz", + "integrity": "sha512-UeVBXie8cA35DS6+nBkls68xaBBXCye0CNznrhszZjTbRVnJKQuNsyLKBTTL4ln1o1rh2PKtv35twV7irj5SEg==", "dev": true, - "requires": { - "cookie": "^0.5.0", + "license": "MIT", + "dependencies": { + "cookie": "^0.7.1", "mustache": "^4.2.0", "stacktracey": "^2.1.8" - }, - "dependencies": { - "cookie": { - "version": "0.5.0", - "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.5.0.tgz", - "integrity": "sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==", - "dev": true - } } }, - "zod": { + "node_modules/youch/node_modules/cookie": { + "version": "0.7.2", + "resolved": "https://registry.npmjs.org/cookie/-/cookie-0.7.2.tgz", + "integrity": "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w==", + "dev": true, + "license": "MIT", + "engines": { + "node": ">= 0.6" + } + }, + "node_modules/zod": { "version": "3.23.8", "resolved": "https://registry.npmjs.org/zod/-/zod-3.23.8.tgz", "integrity": "sha512-XBx9AXhXktjUqnepgTiE5flcKIYWi/rme0Eaj+5Y0lftuGBq+jyRu/md4WnuxqgP1ubdpNCsYEYPxrzVHD8d6g==", - "dev": true + "dev": true, + "license": "MIT", + "funding": { + "url": "https://github.com/sponsors/colinhacks" + } }, - "zwitch": { + "node_modules/zwitch": { "version": "2.0.4", "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", - "dev": true + "dev": true, + "license": "MIT", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/package.json b/package.json index feeba6c6..e9c69ebe 100644 --- a/package.json +++ b/package.json @@ -58,7 +58,7 @@ "storybook": "^7.6.8", "ts-jest": "^29.1.2", "ts-node": "^10.9.2", - "typescript": "^5.3.3", + "typescript": "~5.3.3", "vite": "^5.0.8", "wrangler": "^3.24.0" }, From 239e48edb82755edb6c4cd9bd48bd918af1d659c Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 6 Nov 2024 13:41:46 -0500 Subject: [PATCH 092/106] Update how-can-i-help.donate.tsx --- app/routes/how-can-i-help.donate.tsx | 47 +++++++++++++++++++++++++--- 1 file changed, 42 insertions(+), 5 deletions(-) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 1413a522..9ce428b2 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -67,14 +67,51 @@ export default function Donate() {

    - + + Or, browse our{' '} + + other grantmaker recommendations + + + } + > +

    + If you are involved in the AI safety community, we encourage you to directly fund research, projects, or other expenses (e.g. a plane ticket to a conference) for impactful individuals or small organizations. +

    +

    Donating directly puts you in the seat of the grantmaker. If you have insight into an avenue that deserves funding, you're often likely to make a better decision than a grantmaker, who may lack nuanced understanding of individuals and smaller organizations in the space.

    +     + + +

    + Direct donations to larger organizations are less common, as grantmakers typically have a comprehensive understanding of the major players in this space and are often well-positioned to make informed funding decisions. +

    - If you're deeply involved in the AI safety community, we encourage you to directly fund - research, projects, or miscellaneous expenses that you think are valuable. Donating - directly puts you in the seat of the grantmaker—if you have knowledge of an avenue that - deserves funds, you're likely to make a better decision than a grantmaker. + However, if there is a specific organization you believe is doing exceptional work and would benefit from additional funds, contributing directly can still be a great choice.

    +
    From be25efd03e9566ed1dd52f91cc0d50007f4584bb Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Wed, 6 Nov 2024 20:31:36 -0500 Subject: [PATCH 093/106] Update how-can-i-help.donate.tsx --- app/routes/how-can-i-help.donate.tsx | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 9ce428b2..5c95580b 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -89,9 +89,16 @@ export default function Donate() { } >

    - If you are involved in the AI safety community, we encourage you to directly fund research, projects, or other expenses (e.g. a plane ticket to a conference) for impactful individuals or small organizations. + If you are involved in the AI safety community, we encourage you to directly fund + research, projects, or other expenses (e.g. a plane ticket to a conference) for + impactful individuals or small organizations. +

    +

    + Donating directly puts you in the seat of the grantmaker. If you have insight into an + avenue that deserves funding, you're often likely to make a better decision than a + grantmaker, who may lack nuanced understanding of individuals and smaller organizations + in the space.

    -

    Donating directly puts you in the seat of the grantmaker. If you have insight into an avenue that deserves funding, you're often likely to make a better decision than a grantmaker, who may lack nuanced understanding of individuals and smaller organizations in the space.

    - Direct donations to larger organizations are less common, as grantmakers typically have a comprehensive understanding of the major players in this space and are often well-positioned to make informed funding decisions. + Direct donations to larger organizations are less common, as grantmakers typically have + a comprehensive understanding of the major players in this space and are often + well-positioned to make informed funding decisions.

    - However, if there is a specific organization you believe is doing exceptional work and would benefit from additional funds, contributing directly can still be a great choice. + However, if there is a specific organization you believe is doing exceptional work and + would benefit from additional funds, contributing directly can still be a great choice.

    -
    From a4f8c9d80c5e7ded7d75194190b995376fa25099 Mon Sep 17 00:00:00 2001 From: Melissa Samworth Date: Thu, 7 Nov 2024 12:45:40 -0500 Subject: [PATCH 094/106] copy changes --- app/routes/how-can-i-help.career.tsx | 34 ++++++++++++++++++++++++---- app/routes/how-can-i-help.donate.tsx | 14 ++++++------ 2 files changed, 36 insertions(+), 12 deletions(-) diff --git a/app/routes/how-can-i-help.career.tsx b/app/routes/how-can-i-help.career.tsx index 380c753c..a31c94f8 100644 --- a/app/routes/how-can-i-help.career.tsx +++ b/app/routes/how-can-i-help.career.tsx @@ -236,19 +236,43 @@ const GovernancePath = () => (

    What

    -

    Lorem ipsum

    +

    + AI governance is an emerging field focused on shaping how AI technology is developed and + deployed through public policy, corporate practices, and international coordination. + Professionals in this space work to prevent catastrophic risks from advanced AI systems, + ensure AI benefits society while minimizing harms, and create frameworks for safe and + responsible AI development. +

    Why this is important

    -

    Lorem ipsum

    +

    + To ensure humanity benefits from advanced AI and mitigates catastrophic risks, technical + solutions for AI alignment must be complemented by effective public policy and corporate + oversight to keep development tightly controlled and at a cautious pace. Even with + successful AI alignment, robust governance is essential to ensure consistent + implementation across all sectors and regions. +

    -

    Where these people usually work

    -

    Lorem ipsum

    +

    + Where professionanls in AI governance usually work +

    +

    + AI governance professionals work in settings like government agencies, international + organizations, regulatory bodies, think tanks, research institutions, and private + companies, developing policies, analyzing risks, and shaping governance frameworks for + the safe use of AI technologies. +

    You might be a good fit if...

    -

    Lorem ipsum

    +

    + You might be a good fit for a career in AI governance if you have a background in + political science, law, international relations, or economics, or if you have technical + expertise in AI or cybersecurity. You could also thrive in this field if you're skilled + in research, advocacy, or communicating complex ideas clearly. +

    diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 5c95580b..fbcf3d2a 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -89,15 +89,15 @@ export default function Donate() { } >

    - If you are involved in the AI safety community, we encourage you to directly fund - research, projects, or other expenses (e.g. a plane ticket to a conference) for - impactful individuals or small organizations. + If you have insights into the key obstacles or opportunities that could make a big + difference, we encourage you to directly fund research, projects, or other expenses + (like a plane ticket to a conference) for impactful individuals or small organizations.

    - Donating directly puts you in the seat of the grantmaker. If you have insight into an - avenue that deserves funding, you're often likely to make a better decision than a - grantmaker, who may lack nuanced understanding of individuals and smaller organizations - in the space. + Donating directly can bypass traditional grantmaking, provide immediate impact, and + allow you to share valuable insights. It diversifies funding sources, reduces reliance + on large donors, and supports those who would otherwise face a lengthy grant application + process.

    From c0c0848cc958be13993c91701c31234a4ecfa8e7 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Fri, 8 Nov 2024 21:40:52 -0300 Subject: [PATCH 095/106] content etc --- app/components/Card/index.tsx | 2 +- app/components/HelpGrid/index.tsx | 2 +- app/components/HowCanIHelp/HelpItem.tsx | 4 +- app/components/HowCanIHelp/HelpMethods.tsx | 11 ++-- app/root.css | 14 ---- app/routes/how-can-i-help.career.tsx | 77 +++++++++++----------- app/routes/how-can-i-help.community.tsx | 17 ++--- app/routes/how-can-i-help.donate.tsx | 28 +++----- app/routes/how-can-i-help.grassroots.tsx | 7 +- app/routes/how-can-i-help.knowledge.tsx | 22 +++---- app/routes/how-can-i-help.volunteer.tsx | 18 ++--- package.json | 16 ++--- 12 files changed, 96 insertions(+), 122 deletions(-) diff --git a/app/components/Card/index.tsx b/app/components/Card/index.tsx index ec0000ab..17564bc0 100644 --- a/app/components/Card/index.tsx +++ b/app/components/Card/index.tsx @@ -28,7 +28,7 @@ export default function Card({
    @@ -445,7 +443,7 @@ const FieldBuildingPath = () => ( ]} > There are many philanthropists interested in donating millions of dollars to AI safety—but - there currently aren't enough grantmakers able to vet funding proposals. Because a randomly + there currently aren't enough grantmakers to vet funding proposals. Because a randomly chosen proposal has little expected impact, grantmakers can have a large impact by helping philanthropists distinguish promising projects in AI safety from less promising ones.     @@ -472,9 +470,9 @@ const FieldBuildingPath = () => ( There are many roles that support the work of AI alignment researchers or people in AI governance, and having high-performing people in these roles is crucial. In a research - organization, for example, around half of the staff will be doing other tasks essential - for the organization to perform at its best and have an impact. Some of the most common - supporting roles in AI safety include: + organization, for example, around half of the staff will be doing non-research tasks + essential for the organization to perform at its best and have an impact. Some of the most + common supporting roles in AI safety include: ( (

    Interested in pursuing this career path?

    -

    - Take the following steps to (1) learn more and further assess your fit; (2) learn how to - make the transition +

    + Take the following steps to further assess your fit and learn how to make the transition:

    ( > Many roles that appear to advance safety may actually end up advancing AI capabilities, and thus cause harm. We recommend learning more about AI safety—particularly the alignment - problem—and carefully considering that a role or action will make AI safer before pursuing - it. + problem—and carefully considering whether a role or action will make AI safer before + pursuing it.
    diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 42d5ec91..6f313159 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -12,8 +12,8 @@ const InPerson = () => (

    In-person communities

    - In-person communities provide general purpose support, networking, and socializing for - anyone interested in contributing to AI safety. + In-person communities provide general support, networking, and socializing for anyone + interested in contributing to AI safety.

    ( title="Focused on one activity" links={[ { - title: 'Join a PauseAI event', - action: 'https://pauseai.info/events', + title: 'PauseAI Discord', + action: 'https://discord.gg/pauseai-1100491867675709580', }, ]} className="padding-bottom-40" >

    - You can volunteer for projects and attend protests. People are divided regarding whether - protests or a pause in AI development are a good idea, but if it's something you want to do, - PauseAI is a reliable organization in that space. + Some communities are largely dedicated to one particular activity, such as running volunteer + projects or organizing protests. People are divided regarding whether protests are a good + idea, but if it's something you want to do, PauseAI is a reliable organization in that + space.

    @@ -121,7 +122,7 @@ const Online = () => ( ]} >

    - Deep strategic and technical discussions regarding AI alignment and AI governance. + Deep strategic and technical discussions regarding AI alignment and governance.

    diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 79151aed..22b42979 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -18,8 +18,8 @@ export default function Donate() {

    All donations are helpful. A kind-hearted person with $10 extra a month, a mid-salary professional wishing to donate 10% of their income, or a well-off philanthropist - looking to create major change for good can all financially contribute to advance this - effort. + looking to create major change for good can all make a useful contribution to + advancing this effort.

    @@ -43,8 +43,7 @@ export default function Donate() { { tag: 'Top recommendation', title: 'Long-Term Future Fund', - action: - 'https://www.givingwhatwecan.org/charities/long-term-future-fund?utm_source=eafunds', + action: 'https://www.givingwhatwecan.org/charities/long-term-future-fund', }, ]} additionalInfo={ @@ -78,20 +77,11 @@ export default function Donate() { className="padding-bottom-40" links={[ { - tag: 'Top recommendation', - title: 'Long-Term Future Fund', + title: 'Shallow review of live agendas in alignment & safety', action: - 'https://www.givingwhatwecan.org/charities/long-term-future-fund?utm_source=eafunds', + 'https://www.lesswrong.com/posts/zaaGsFBeDTpCsYHef/shallow-review-of-live-agendas-in-alignment-and-safety', }, ]} - additionalInfo={ - <> - Or, browse our{' '} - - other grantmaker recommendations - - - } >

    If you have insights into the key obstacles or opportunities that could make a big @@ -99,10 +89,10 @@ export default function Donate() { (like a plane ticket to a conference) for impactful individuals or small organizations.

    - Donating directly can bypass traditional grantmaking, provide immediate impact, and - allow you to share valuable insights. It diversifies funding sources, reduces reliance - on large donors, and supports those who would otherwise face a lengthy grant application - process. + Donating directly bypasses traditional grantmaking, providing immediate impact and + allowing you to share valuable insights. It diversifies funding sources, reduces + reliance on large donors, and supports those who may otherwise face a lengthy grant + application process.

    diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index 1a6bc8ac..9eee630c 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -62,7 +62,7 @@ const WhatYouCanDo = () => ( } >

    - We recommend sharing A.I. - “Humanity's Final Invention?”, which gives an + We recommend sharing “A.I. - Humanity's Final Invention?”, which gives an accessible overview of the topic of AI and existential risk

    @@ -139,8 +139,9 @@ const WhatYouCanDo = () => ( } >

    - Add your signature next to Elon Musk, Steve Wozniak, and “godfather of AI” Yoshua Bengio - in the most well-known AI safety petition, “Pause Giant AI Experiments: An Open Letter” + Add your signature next to that of Elon Musk, Steve Wozniak, and “godfather of AI” Yoshua + Bengio in the most well-known AI safety petition, “Pause Giant AI Experiments: An Open + Letter”

    diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index c3075c25..8b590e9e 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -40,8 +40,8 @@ const NewToAISafety = () => ( ]} >

    - Our website’s “Intro to AI safety” micro-course includes several short readings that act - as a comprehensive introduction the topic of AI safety. + Our “Intro to AI safety” micro-course is comprised of a collection of short readings that + serve as a comprehensive introduction to the topic of AI safety.

    Our Intro to AI safety video playlist illustrates many of the most important points about @@ -72,9 +72,9 @@ const NewToAISafety = () => ( } >

    - We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading researcher in AI - alignment and safety. The interview provides an introduction to AI risk and discusses many - important AI safety concepts. + We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading alignment + researcher. The interview provides an introduction to AI risk and discusses many important + AI safety concepts.

    @@ -127,9 +127,8 @@ const Dropdowns = () => ( ]} > We recommend the YouTube channel Robert Miles AI Safety, which presents complex AI safety - concepts in an accessible format to foster understanding and awareness about the ethical and - safety considerations in AI development. (Rob is also the founder of this site, - AISafety.info). + concepts in an accessible format to foster awareness and understanding of the ethical and + safety considerations in AI development. Note: Rob is also the founder of this site. ( links={[ { tag: 'Top recommendation', - title: '80,000 Hours', + title: '80,000 Hours Podcast', action: 'https://80000hours.org/podcast/', }, ]} @@ -187,8 +186,7 @@ const Dropdowns = () => ( }, ]} > - We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety - and alignment. + We recommend following AGI Safety Core, a group of thinkers in AI that post about AI safety.
    @@ -270,7 +268,7 @@ const DiveDeeper = () => ( { tag: 'Most widely-used', title: 'LessWrong', - action: 'https://www.lesswrong.com/', + action: 'https://www.lesswrong.com/tag/ai', }, { title: 'Alignment Forum', diff --git a/app/routes/how-can-i-help.volunteer.tsx b/app/routes/how-can-i-help.volunteer.tsx index bf978a03..47d09383 100644 --- a/app/routes/how-can-i-help.volunteer.tsx +++ b/app/routes/how-can-i-help.volunteer.tsx @@ -41,8 +41,8 @@ const Dropdowns = () => (

    About 90% of volunteer work is online, and involves field-building through communication, - advocacy, or software development; providing feedback on research; or building or - organizing online groups. In-person volunteer work would entail organizing meetups, + advocacy, or software development; providing feedback on research; or establishing or + organizing online groups. In-person volunteer work may entail organizing meetups, protests, or retreats.

    @@ -51,7 +51,7 @@ const Dropdowns = () => (

    Typically volunteers commit up to several hours a week for at least a few months. However, - volunteers that accomplished one 15 minute task a week, consistently, have also been very + volunteers that accomplish one 15-minute task a week, consistently, can also be very helpful. What’s most important is that you understand how much you are able to commit upfront, and follow through with that commitment.

    @@ -81,7 +81,7 @@ const Options = () => ( >

    - Get personalized volunteering advice in a thirty minute or one hour video call. We + Get personalized volunteering advice in a 30-minute or one hour video call. We recommend booking both!

    @@ -117,9 +117,9 @@ const Options = () => ( >

    {' '} - Alignment Ecosystem Development (AED) is an organization and community of volunteers - supporting online AI safety field-building projects like AISafety.com and AI Safety - Quest. You can join an existing project or pitch your own to recruit help. + Alignment Ecosystem Development (AED) is a nonprofit organization and community of + volunteers supporting online AI safety field-building projects like AISafety.com and AI + Safety Quest. You can join an existing project or pitch your own to recruit help.

    @@ -133,8 +133,8 @@ const Options = () => ( ]} >

    - Browse our list of online AI safety field-building projects. Email the contact person - expressing your interest. + Browse our list of online AI safety field-building projects and email the contact person + expressing your interest

    diff --git a/package.json b/package.json index e9c69ebe..22c59941 100644 --- a/package.json +++ b/package.json @@ -3,10 +3,10 @@ "description": "", "license": "MIT", "dependencies": { - "@remix-run/cloudflare": "^2.6.0", - "@remix-run/cloudflare-workers": "^2.6.0", - "@remix-run/css-bundle": "^1.19.3", - "@remix-run/react": "^2.6.0", + "@remix-run/cloudflare-workers": "^2.13.1", + "@remix-run/cloudflare": "^2.13.1", + "@remix-run/css-bundle": "^2.13.1", + "@remix-run/react": "^2.13.1", "client-zip": "^2.4.5", "copy-to-clipboard": "^3.3.3", "isbot": "^4", @@ -17,12 +17,12 @@ "react": "^18.2.0", "react-auto-height": "^1.2.1", "react-dom": "^18.2.0", - "remix": "^2.6.0" + "remix": "^2.13.1" }, "devDependencies": { "@cloudflare/workers-types": "^4.20240129.0", - "@remix-run/dev": "^2.6.0", - "@remix-run/testing": "^2.6.0", + "@remix-run/dev": "^2.13.1", + "@remix-run/testing": "^2.13.1", "@storybook/addon-designs": "^7.0.9", "@storybook/addon-essentials": "^7.6.8", "@storybook/addon-interactions": "^7.6.8", @@ -58,7 +58,7 @@ "storybook": "^7.6.8", "ts-jest": "^29.1.2", "ts-node": "^10.9.2", - "typescript": "~5.3.3", + "typescript": "^5.3.3", "vite": "^5.0.8", "wrangler": "^3.24.0" }, From 25564cb10105ec51c6a7bc48a40bc7261c54ac99 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Sat, 9 Nov 2024 19:31:09 -0300 Subject: [PATCH 096/106] styling etc --- app/components/Card/card.css | 15 +- app/components/DropDown/dropdown.css | 14 +- app/components/HowCanIHelp/Base.tsx | 2 +- ...tgoryCarousel.tsx => CategoryCarousel.tsx} | 0 app/components/HowCanIHelp/HelpItem.tsx | 8 +- app/components/HowCanIHelp/HelpMethods.tsx | 164 ++++++++++++------ .../HowCanIHelp/category-carousel.css | 21 ++- app/components/HowCanIHelp/howcanihelp.css | 2 +- app/components/LinkCard/index.tsx | 8 +- app/components/LinkCard/linkcard.css | 9 +- .../VideoThumbnail/videothumbnail.tsx | 16 +- app/root.css | 14 +- app/routes/how-can-i-help.career.tsx | 27 +-- app/routes/how-can-i-help.community.tsx | 6 +- app/routes/how-can-i-help.donate.tsx | 8 +- app/routes/how-can-i-help.grassroots.tsx | 11 +- app/routes/how-can-i-help.knowledge.tsx | 34 ++-- app/routes/how-can-i-help.volunteer.tsx | 8 +- package-lock.json | 24 +-- 19 files changed, 253 insertions(+), 138 deletions(-) rename app/components/HowCanIHelp/{CatgoryCarousel.tsx => CategoryCarousel.tsx} (100%) diff --git a/app/components/Card/card.css b/app/components/Card/card.css index 56a3efd9..5cf5a141 100644 --- a/app/components/Card/card.css +++ b/app/components/Card/card.css @@ -1,6 +1,6 @@ .card { - height: 328px; - padding: var(--spacing-24); + height: 320px; + padding: var(--spacing-16); display: flex; background-color: var(--colors-white); border-radius: var(--border-radius); @@ -15,6 +15,15 @@ display: flex; flex-direction: column; padding: var(--spacing-32); + gap: var(--spacing-4); +} + +.card-content > .default-bold { + margin-bottom: var(--spacing-8); +} + +.card-content > .small { + margin-top: var(--spacing-4); } .card-icon { @@ -24,7 +33,7 @@ align-items: center; justify-content: center; border-radius: var(--border-radius); - width: 30%; + width: 38%; flex-shrink: 0; } diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css index c3cd0452..670bf18a 100644 --- a/app/components/DropDown/dropdown.css +++ b/app/components/DropDown/dropdown.css @@ -22,16 +22,24 @@ .drop-down-content { max-height: 0; overflow: hidden; - transition: max-height 0.3s ease-out; + transition: max-height 0.2s cubic-bezier(0.4, 0, 0.2, 1); + padding-bottom: 0; + transition: + max-height 0.2s cubic-bezier(0.4, 0, 0.2, 1), + padding 0.2s cubic-bezier(0.4, 0, 0.2, 1); } .drop-down-content.open { max-height: 2000px; - padding-bottom: var(--spacing-40); + padding-bottom: var(--spacing-32); +} + +.drop-down-inner { + padding-bottom: var(--spacing-32); } .drop-down-chevron { - transition: transform 0.3s ease-out; + transition: transform 0.2s cubic-bezier(0.4, 0, 0.2, 1); transform: rotate(90deg); } diff --git a/app/components/HowCanIHelp/Base.tsx b/app/components/HowCanIHelp/Base.tsx index 11f72d42..e5f363b6 100644 --- a/app/components/HowCanIHelp/Base.tsx +++ b/app/components/HowCanIHelp/Base.tsx @@ -18,7 +18,7 @@ export default function Base({title, current, children, ...props}: BaseProps) {
    -

    {title}

    +

    {title}

    {children} diff --git a/app/components/HowCanIHelp/CatgoryCarousel.tsx b/app/components/HowCanIHelp/CategoryCarousel.tsx similarity index 100% rename from app/components/HowCanIHelp/CatgoryCarousel.tsx rename to app/components/HowCanIHelp/CategoryCarousel.tsx diff --git a/app/components/HowCanIHelp/HelpItem.tsx b/app/components/HowCanIHelp/HelpItem.tsx index bc4083f4..0eac1eb5 100644 --- a/app/components/HowCanIHelp/HelpItem.tsx +++ b/app/components/HowCanIHelp/HelpItem.tsx @@ -10,6 +10,7 @@ type HelpItemProps = { titleFont?: 'large-bold' | 'default-bold' | 'large-bold' className?: string } + const HelpItem = ({ title, tag, @@ -31,14 +32,17 @@ const HelpItem = ({

    {children}

    - {links?.map((link) => ( + {links?.map((link, index) => (
    - {additionalInfo &&

    {additionalInfo}

    } + {index === links.length - 1 && additionalInfo && ( +

    {additionalInfo}

    + )}
    ))}
    ) } + export default HelpItem diff --git a/app/components/HowCanIHelp/HelpMethods.tsx b/app/components/HowCanIHelp/HelpMethods.tsx index 8f7c41ef..1721ca54 100644 --- a/app/components/HowCanIHelp/HelpMethods.tsx +++ b/app/components/HowCanIHelp/HelpMethods.tsx @@ -127,58 +127,118 @@ const HelpMethods = ({ current, footerTitle, footerSubheader = 'Or, explore more ways to help directly', -}: HelpMethodsProps) => ( -
    -

    {footerTitle || (current && titles[current])}

    -
    - - -
    -

    {footerSubheader}

    -
    - {current !== 'career' && ( - - )} - {current !== 'donate' && ( - - )} - {current !== 'volunteer' && ( - - )} - {current !== 'grassroots' && ( - +}: HelpMethodsProps) => { + const showKnowledgeCard = current !== 'knowledge' + const showCommunityCard = current !== 'community' + const singleCardLayout = + (!showKnowledgeCard && showCommunityCard) || (showKnowledgeCard && !showCommunityCard) + + return ( +
    +
    +
    +

    {footerTitle || (current && titles[current])}

    +
    + {singleCardLayout && ( +
    + {showKnowledgeCard && } + {showCommunityCard && } +
    + )} +
    + + {!singleCardLayout && ( +
    + + +
    )} + +

    {footerSubheader}

    + +
    + {current !== 'career' && + (singleCardLayout ? ( + + ) : ( + + ))} + {current !== 'donate' && + (singleCardLayout ? ( + + ) : ( + + ))} + {current !== 'volunteer' && + (singleCardLayout ? ( + + ) : ( + + ))} + {current !== 'grassroots' && + (singleCardLayout ? ( + + ) : ( + + ))} +
    -
    -) + ) +} export default HelpMethods diff --git a/app/components/HowCanIHelp/category-carousel.css b/app/components/HowCanIHelp/category-carousel.css index 2e59467c..c54f1bbb 100644 --- a/app/components/HowCanIHelp/category-carousel.css +++ b/app/components/HowCanIHelp/category-carousel.css @@ -16,8 +16,27 @@ gap: var(--spacing-8); } +.carousel .navigation button { + width: 40px; + height: 40px; + padding: 0; + display: flex; + align-items: center; + justify-content: center; + border: 1px solid var(--colors-cool-grey-200); + border-radius: var(--border-radius); +} + +.carousel .navigation button:not(:disabled):hover { + border-color: var(--colors-teal-200); +} + +.carousel .navigation button:disabled { + opacity: 0.5; +} + .carousel h2 { - max-width: 550px; + max-width: 650px; } .carousel .items { diff --git a/app/components/HowCanIHelp/howcanihelp.css b/app/components/HowCanIHelp/howcanihelp.css index c6720a3c..dfccc39d 100644 --- a/app/components/HowCanIHelp/howcanihelp.css +++ b/app/components/HowCanIHelp/howcanihelp.css @@ -1,5 +1,5 @@ .help-footer { border-top: 1px solid var(--colors-cool-grey-200); - padding-top: var(--spacing-80); + padding-top: var(--spacing-104); margin-top: var(--spacing-104); } diff --git a/app/components/LinkCard/index.tsx b/app/components/LinkCard/index.tsx index 8ad9f6ea..c078ed61 100644 --- a/app/components/LinkCard/index.tsx +++ b/app/components/LinkCard/index.tsx @@ -8,14 +8,18 @@ export type Link = { image?: ReactNode tag?: string action?: string + isVideo?: boolean } export type LinkCardProps = Link & { className?: string } -const LinkCard: React.FC = ({title, image, tag, action, className}) => ( -
    @@ -640,7 +640,7 @@ const CareerPaths = () => { action={() => smoothScroll('research')} iconColor="var(--colors-teal-700)" title="AI alignment research" - description="Research roles dedicated to solving the technical challenge of AI alignment, and non—technical supporting roles" + description="Research roles dedicated to solving the technical challenge of AI alignment, and non-technical supporting roles" icon={Microscope} className="col-4" /> diff --git a/app/routes/how-can-i-help.community.tsx b/app/routes/how-can-i-help.community.tsx index 8d8e3ee7..4eda6205 100644 --- a/app/routes/how-can-i-help.community.tsx +++ b/app/routes/how-can-i-help.community.tsx @@ -105,9 +105,7 @@ const Online = () => ( >

    Some communities are largely dedicated to one particular activity, such as running volunteer - projects or organizing protests. People are divided regarding whether protests are a good - idea, but if it's something you want to do, PauseAI is a reliable organization in that - space. + projects or organizing protests.

    diff --git a/app/routes/how-can-i-help.knowledge.tsx b/app/routes/how-can-i-help.knowledge.tsx index 39b175a8..172ad800 100644 --- a/app/routes/how-can-i-help.knowledge.tsx +++ b/app/routes/how-can-i-help.knowledge.tsx @@ -36,8 +36,8 @@ const NewToAISafety = () => ( ]} >

    - Our “Intro to AI safety” micro-course is comprised of a collection of short readings that - serve as a comprehensive introduction to the topic of AI safety. + Our “Intro to AI safety” micro-course is a collection of short readings that serve as a + comprehensive introduction to the topic of AI safety.

    Our Intro to AI safety video playlist illustrates many of the most important points about @@ -68,7 +68,7 @@ const NewToAISafety = () => ( } >

    - We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading alignment + We recommend Dwarkesh Patel’s interview with Paul Christiano, a leading AI safety researcher. The interview provides an introduction to AI risk and discusses many important AI safety concepts.

    From 6172ca4a52ece9bc7fa0bec0f88d07c51a89426d Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 12 Nov 2024 16:54:44 -0300 Subject: [PATCH 100/106] capitalisation --- app/components/Nav/Mobile/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/components/Nav/Mobile/index.tsx b/app/components/Nav/Mobile/index.tsx index f253480a..9bb1b103 100644 --- a/app/components/Nav/Mobile/index.tsx +++ b/app/components/Nav/Mobile/index.tsx @@ -73,7 +73,7 @@ const Menu = ({state, setState}: MenuProps) => { )} {isMenu && ( (window.location.href = '/chat/')} /> From 8452211a43f0ff7ef2f090a3e27084d81c7bfd20 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Tue, 12 Nov 2024 19:03:52 -0300 Subject: [PATCH 101/106] mobile + testimonial --- app/components/DropDown/dropdown.css | 2 +- app/root.css | 12 +++++++++++- app/routes/how-can-i-help._index.tsx | 2 +- app/routes/how-can-i-help.donate.tsx | 14 ++++---------- app/routes/how-can-i-help.grassroots.tsx | 3 ++- public/assets/green.jpg | Bin 0 -> 39026 bytes 6 files changed, 19 insertions(+), 14 deletions(-) create mode 100644 public/assets/green.jpg diff --git a/app/components/DropDown/dropdown.css b/app/components/DropDown/dropdown.css index 670bf18a..0590ad21 100644 --- a/app/components/DropDown/dropdown.css +++ b/app/components/DropDown/dropdown.css @@ -30,7 +30,7 @@ } .drop-down-content.open { - max-height: 2000px; + max-height: 4000px; padding-bottom: var(--spacing-32); } diff --git a/app/root.css b/app/root.css index b36273ed..652e2d58 100644 --- a/app/root.css +++ b/app/root.css @@ -899,7 +899,7 @@ button { } .large-bold { - font-size: 18px; + font-size: 20px; font-weight: 500; font-weight: 500; line-height: 170%; /* 30.6px */ @@ -934,6 +934,16 @@ button { background-color: var(--colors-white); width: 85%; } + + /* ensure card titles stay dark on mobile */ + .card-small .title { + color: var(--colors-black) !important; + } + + /* ensure dropdown titles are left-aligned on mobile */ + .drop-down-header { + text-align: left; + } } /* end mobile */ diff --git a/app/routes/how-can-i-help._index.tsx b/app/routes/how-can-i-help._index.tsx index 519e94ef..1103bec4 100644 --- a/app/routes/how-can-i-help._index.tsx +++ b/app/routes/how-can-i-help._index.tsx @@ -15,7 +15,7 @@ export default function HowCanIHelp() {

    How can I help with

    AI safety?

    -

    +

    The AI safety movement is still relatively new, and your actions could have significant impact. Here's what you can do:

    diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 987886ff..1c865ff5 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -122,20 +122,14 @@ export default function Donate() { src="/assets/guy.jpeg" title="Søren Elverlin" description="I've directly funded several small-scale AI safety projects and found it highly rewarding. The field is often funding-constrained, and many valuable projects are overlooked by large funders. By taking time to understand individuals' goals and approaches, I've been able to make a meaningful impact with targeted, direct donations." - layout="expanded" + className="col-6" /> - {/* TESTIMONIALS TEMPORARILY REMOVED - */}
    diff --git a/app/routes/how-can-i-help.grassroots.tsx b/app/routes/how-can-i-help.grassroots.tsx index f3ea7846..4512bb22 100644 --- a/app/routes/how-can-i-help.grassroots.tsx +++ b/app/routes/how-can-i-help.grassroots.tsx @@ -163,7 +163,8 @@ export default function Grassroots() { - Spread the word &
    grassroots activism + Spread the word &
    + grassroots activism } current="grassroots" diff --git a/public/assets/green.jpg b/public/assets/green.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b2bf3b770f53fb47f136742cb7523a45dbad499c GIT binary patch literal 39026 zcmbTcWmp`+)-61^!{F}j?(VJw1oy!qxVuA;pusiR;I2t<*C4@zy9SrQN6vZg`+WEB zt?55KUDZ{)YOTFjSM9f@w@m<0NlsA?00jjAK)wF}Z?6Dy>5on>ZeVwJuoZ=cFNM7e z*oM^&Z23QbzO4cx0I>gC;Njum;Smwu3nD7gzk-U5ijMkzVPoO|F@QLjWcawa_+(V1 z#H3VAw6sh-Ts$%|Mo|CT9`^t31#f)-Ohl+2s4f^NDgZPl6bvTR+W>&{-3VBif42Oe z0tXEP3lD%oKty_50U-YO$vyfEb>?GE-skLg=#|EFYkj?@0nFkXM#U_dd92Sz*x$J!Y6P79PD9UpS42D$7QIQ znDO4eH8$OoQ(=RafA#a3N1?{F4UKq~6h(0OmFqAuc}JR@+kXI4wx55bYF+l+X%)2y!d__*2QzsmyEJ z0joRlrPUvAt$M`4N>=#Gb(|5km!Hf5i<+W+x0<^yp^noC`d~4zgGy1imNyQ<+DKk2 zN5mn7#RLoE`&lYQ-t;c znM4d0bEi2LO;n79H?{7{6$EW5MUgaITXgyMsTsnmA_FdE)MF8BL(F;v5S5=wd2R{F zY-PZvXQGYn5eHjd@|*=`-L{e;g4eO|s1wgh*=0ln%q6p$1;$bs;#9OlGi&uVN`+yQ z27kKu2648$Fqx5fLDg5J{mB4XuR*gqDSMiO?T-{|k;p8Vcq=~-xYGG1K3sE5H=f&1 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zQG3NHQSw4V>LW_w#fFx-O&3NgDN7*(f7$8d$`(BuqP=`|u4m9`N>+aWPnfs3fXAGQ{Iy*#wqyxJ`>u+BhqBoow{1 z8a}udc0URs`LI|=tKUns_g?kG$(%ylsYYlmzG zCOpD7`msB zU2*bnkns6~z#;jgRQ+QA4k#68zIcb0&yynUsF^GOcoH$3s~^)Mj(P&+&m`PJp44-Z zp&lUxb*QYI#&51Jn-tQ?s?;N z!6~`t4sBu)5ZwGFl8F{a!xfc(lQ)C23S{1zM`eymXO@g5dQSQpxXiC$_w46L=eOqa z%>Idax!%62{jBXy=QCaS% zN|WxVD2*X``xonw7BPq^K~7pk@jIkPiy>ySdkcH=>eJ_IKkLN@S7bWa$78G(0VA5B zq|ZwuM-YMg0tF}59sBdUFgsWBIJZd|pd(`>a024frlb=HA6dD0!&Unjp7}az3v-Hx zU*}v-8{Nr0hccbM^TA}<14_UA+Injv%%A^3CyId|qUiM$1iraNMTCojJ;yPhf&K%( z07VT)@BO=T#p@7WdS=Si&GI;q^}mD|%+E3{6LGZ6z&O6EFnT0(?ekj{#?d?MW#!PD zTf}wU$Tj^JHkJN!RDb7B>FniD&%VR}|6KHLo^cz$#zn^`N6BxKqh8kyWO|?z=Zt Date: Wed, 13 Nov 2024 02:35:15 -0500 Subject: [PATCH 102/106] Make special case in ToC for how-can-i-help This is very duct-tape-y, better suggestions are welcome --- app/components/ArticlesDropdown/index.tsx | 51 ++++++++++++++++------- 1 file changed, 35 insertions(+), 16 deletions(-) diff --git a/app/components/ArticlesDropdown/index.tsx b/app/components/ArticlesDropdown/index.tsx index fb8d46b6..de79d94c 100644 --- a/app/components/ArticlesDropdown/index.tsx +++ b/app/components/ArticlesDropdown/index.tsx @@ -29,22 +29,41 @@ type ArticlesSectionProps = { className?: string hide: () => void } -const ArticlesSection = ({category, toc, className, hide}: ArticlesSectionProps) => ( -

    -
    {category} sections
    - {toc - .filter((item) => item.category === category) - .map((item: TOCItem) => ( - - ))} -
    -) +const ArticlesSection = ({category, toc, className, hide}: ArticlesSectionProps) => { + // Create the custom TOCItem for "How can I help?" that redirects to the splash page + const howCanIHelpItem: TOCItem = { + title: 'How can I help?', + pageid: 'how-can-i-help', + hasText: true, + category: INTRODUCTORY, + order: 999, // Place it at the end + ttr: 15, + } + + const items = toc + .filter((item) => item.category === category) + .concat(category === INTRODUCTORY ? [howCanIHelpItem] : []) + + return ( +
    +
    {category} sections
    + {items.map((item: TOCItem) => { + // Determine the correct URL based on whether it's how-can-i-help or not + const to = item.pageid === 'how-can-i-help' ? '/how-can-i-help' : questionUrl(item) + + return ( + + ) + })} +
    + ) + } export type ArticlesDropdownProps = { toc: TOCItem[] From 01829c1cabab55f4eb8cc72787cd60bef9ae6d6b Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Wed, 13 Nov 2024 02:41:56 -0500 Subject: [PATCH 103/106] Lint --- app/components/ArticlesDropdown/index.tsx | 40 +++++++++++------------ 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/app/components/ArticlesDropdown/index.tsx b/app/components/ArticlesDropdown/index.tsx index de79d94c..e27495d6 100644 --- a/app/components/ArticlesDropdown/index.tsx +++ b/app/components/ArticlesDropdown/index.tsx @@ -44,26 +44,26 @@ const ArticlesSection = ({category, toc, className, hide}: ArticlesSectionProps) .filter((item) => item.category === category) .concat(category === INTRODUCTORY ? [howCanIHelpItem] : []) - return ( -
    -
    {category} sections
    - {items.map((item: TOCItem) => { - // Determine the correct URL based on whether it's how-can-i-help or not - const to = item.pageid === 'how-can-i-help' ? '/how-can-i-help' : questionUrl(item) - - return ( - - ) - })} -
    - ) - } + return ( +
    +
    {category} sections
    + {items.map((item: TOCItem) => { + // Determine the correct URL based on whether it's how-can-i-help or not + const to = item.pageid === 'how-can-i-help' ? '/how-can-i-help' : questionUrl(item) + + return ( + + ) + })} +
    + ) +} export type ArticlesDropdownProps = { toc: TOCItem[] From 7981dc4bc4df02d4db5f74c2379b19c7d09908e2 Mon Sep 17 00:00:00 2001 From: Bryce Robertson Date: Wed, 13 Nov 2024 15:42:20 -0300 Subject: [PATCH 104/106] update testimonial --- app/routes/how-can-i-help.donate.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/routes/how-can-i-help.donate.tsx b/app/routes/how-can-i-help.donate.tsx index 1c865ff5..4ed47dca 100644 --- a/app/routes/how-can-i-help.donate.tsx +++ b/app/routes/how-can-i-help.donate.tsx @@ -127,7 +127,7 @@ export default function Donate() {
    From f596beac7fd479d2480056020b1d7f6e9719095d Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Thu, 14 Nov 2024 13:22:52 -0500 Subject: [PATCH 105/106] Update frontpage link to how-can-i-help --- app/components/ContentBox/index.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/app/components/ContentBox/index.tsx b/app/components/ContentBox/index.tsx index 9d6ae2a3..216c5125 100644 --- a/app/components/ContentBox/index.tsx +++ b/app/components/ContentBox/index.tsx @@ -90,7 +90,7 @@ export const ContentBoxThird = () => { return ( From 6d38919838c8b586eab4ba354c5aee490c73c63e Mon Sep 17 00:00:00 2001 From: Olivier Coutu Date: Thu, 14 Nov 2024 13:29:10 -0500 Subject: [PATCH 106/106] Lint --- app/components/ContentBox/index.tsx | 1 - 1 file changed, 1 deletion(-) diff --git a/app/components/ContentBox/index.tsx b/app/components/ContentBox/index.tsx index 216c5125..3098ede7 100644 --- a/app/components/ContentBox/index.tsx +++ b/app/components/ContentBox/index.tsx @@ -86,7 +86,6 @@ export const ContentBoxSecond = () => { } export const ContentBoxThird = () => { - const article = {pageid: '8TJV', title: 'Get involved with AI safety'} return (