✳flâneur — a map of the web's best reading
Economics and AI | Tom Cunningham – Tom Cunningham
tecunningham.github.io · 6,947 words · saved by 8 readers
Tom Cunningham blog
Economics and Transformative AI | Tom Cunningham – Tom Cunningham Thanks to comments from Daniel Björkegren, Andreas Haupt, Philip Trammel, Brent Cohn, Nick Otis, Andrey Fradkin, Jon de Quidt, Joel Becker. This is a long collection of notes about economics & AI, prompted by two excellent workshops I attended in mid-September: the Windfall Trust’s “Economic Scenarios for Transformative AI” and the NBER’s “Workshop on the Economics of Transformative AI” . I had just left OpenAI’s Economic Research team, after releasing our paper, How People Use ChatGPT . I’ll also try to explain a little why I’m
Explore this link on the map →saved by
- Hangyul Lyna Kim
- Lydia Nottingham
- Vincent Cheng
- Kushal Thaman
- Khalid Ali
- aniket
- Ishan Mukherjee
- Davis Brown
related reading
- Alex Imas and Phil Trammell – What remains scarce after AGI?dwarkesh.com
- AI as Normal Technology | Knight First Amendment Instituteknightcolumbia.org
- Three Observations - Sam Altmanblog.samaltman.com
- By default, capital will matter more than ever after AGI — LessWronglesswrong.com
- Forecasts of AI & Economic Growth | Tom Cunningham – Tom Cunninghamtecunningham.github.io
- Why transformative artificial intelligence is really, really hard to achievethegradient.pub
- An Apple-Picking Model of AI R&D | Tom Cunningham – Tom Cunninghamtecunningham.github.io
- Can advanced AI lead to negative economic growth?aleximas.substack.com
- My picture of the present in AI — LessWronglesswrong.com
- AI progress is about to speed up | Epoch AIepoch.ai
- Capital, AGI, and Human Ambition - The Intelligence Curseintelligence-curse.ai
- Thoughts by a non-economist on AI and economics – Windows On Theorywindowsontheory.org