New post : Can a Transformer “Learn” Economic Relationships? Revisiting the Lucas Critique in the age of Transformers. with @arpitrage
We simulated data from an NK model, fit a transformer, and tested out of sample fit
How did it do? Pretty well!
Link and thread in reply:
Many of us thought that AI was behind finding the error in Tirole (1985) that Econometrica recently published. Turns out that was not the case. Actually, even after the fact, AI couldn't find the error: https://t.co/1kOSClN8pv
Users who interact with a misleading post that is subsequently corrected by @CommunityNotes will receive an 𝕏 Chat message of the CN to correct any misperception
Economics of AGI episode w Alex Imas and Phil Trammell.
There's a bunch of important questions about how we deal with AI that only economics can answer.
What is the optimal way to tax and redistribute the wealth that will be generated? How should countries not in the AI supply chain index into the gains? Is there any world where inequality doesn't explode?
It might seem like these questions have obvious answers, but the first thing economics teaches you is that your intuitions can often be entirely wrong.
It was very helpful to chat through these things with Alex and Phil.
Look up Dwarkesh Podcast on Apple Podcasts, YouTube, or Spotify. Enjoy!
00:00:00 – Will capital share increase?
00:19:36 – Messy Middle scenario
00:25:57 – How to tax and redistribute AI wealth
00:30:02 – Why demand collapse is unlikely
00:39:26 – Human employees would be hard to integrate into the machine economy
00:43:08 – What if some humans (or AIs) value wealth accumulation intrinsically?
01:01:28 – What should developing countries do?
@TheStalwart@MarysRoommate@citrini I think people are missing the point that the actual connection is you having more time to hang with your actual kid instead of managing hardware and software.
This report is a part of ongoing work to understand the causal impact of randomized access to Claude Code on social science research. 6/6
Read more here: https://t.co/lPUJLq1hsj
@StarobinskiA@BrianCAlbrecht Our thoughts exactly!!
We're in process of revising to highlight the generality of the arguments. Demand is still our flagship, but developing the tools is useful beyond that particular application.
As a economic theorist, who isn’t really a Theorist, I’m absolutely confused about what AI means for the future of my research.
But I can say it’s been the most exciting year of my life for learning economics.
This from @TuhinChakr is brilliant. That prize winning story from Granta? Turns out it's just a bunch of random whole phrases taken directly from existing text on the internet. Tool allows you to trace those n-grams directly to their source, which is mostly random fanfiction.
https://t.co/Bi03nvSHnx
I'm going to be co-teaching an online course in June: Platform Strategy: Designing for Humans and AI Agents w/ my colleague @pierre_azoulay https://t.co/WXYoiMxuIi there are still some slots