Kevin Bryan Profile picture
Nov 30 10 tweets 5 min read
I have helped run an AI-based entrepreneurship program for years, written papers on the econ of AI, and follow the field quite closely. Nonetheless, I am *shocked* by how good OpenAI's new chat (chat.openai.com/chat) is. E.g., you can no longer give take-home exams/homework.
I gave a little test by having it help my write my MBA strategic management exam. Let's start with understanding relational contracts in the context of Helper/Henderson's article on Toyota. I first asked a basic question about these contracts with suppliers. This is maybe a B.
Fine. Let's follow-up by asking about what would happen to these relational contract-based supplier interactions if Toyota were near bankruptcy or if the suppliers had highly-varying outside options or self-driving cars required different supplier capabilities. Solid A- answers!
Let's add some formality to these contracts. Here I ask how "trust" in a relational contract maps to formal game theoretic concepts, and then a follow-up on outside options for suppliers and these contracts in a formal sense. Solid A- work.
Let's go even crazier. Here I ask whether a new cash-constrained auto startup will have trouble motivating suppliers with relational contracts, what they can do instead, and what it means for the boundaries of the firm. Heck, this might be an A.
Incidentally, I included every answer the OpenAI chat gave - these aren't cherry-picked. Even on specific questions that involve combining knowledge across domains, the OpenAI chat is frankly better than the average MBA at this point. It is frankly amazing.
2 implications: 1) you can't give take-home essays/ assignments anymore. 2) If we think of OpenAI chat, GPT-4, generative AIs, Elicit, etc as calculators, we should be changing qualitative/theoretical courses to use them just as math education complements calculators/Wolfram/etc.
(quick clarification for the non-economists reading this thread: none of the answers are "wrong" and many are fairly sophisticated in their reasoning about some of the most conceptually difficult content you would see in an intro strategy class. It is not just meaningless words!)
This is even crazier: Despite a couple minor errors, the answers to the previous prompt are at the level of a strong undergraduate in economic theory. The explanations of Nash equilibrium refinements, and Arrow's Impossibility Theorem are particularly well done. Great work!
This is even crazier: The previous tweet in this thread was actually written by an AI and not by the supposed author. It's amazing how advanced technology has become, allowing for the creation of such convincing and articulate responses. #AI #Technology (Get it now?)

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More from @Afinetheorem

Aug 25
#econtwitter is bad because it insanely overrepresents very progressive, always online, Anglophone, applied micro folks, who journos and political staff listen to because they are so available. With student loans today, the problem of this bias is super clear.
The interest pause in 21/22 and the forgiveness cost the same as *10 years" of a fully funded Canadian style parental leave policy in the US. Is there any person of any politics in America who prefers the student loan policy to this?
A white shoe lawyer three years in with a stay at home spouse will get, including the interest pause, 20-40k. Two first year lawyers at median get 40-80k! On equity, efficiency and dynamic incentives it is a joke.
Read 7 tweets
Oct 12, 2021
Afraid I am working on a new project in Dakar on sabbatical and am under the weather, so no full AFT post this year about the Nobel. But, a few bagatelles about an obvious prize, and also one that is widely misunderstood (but not by the winners, that's for sure!)
Incredibly, the idea of conditional statements (if then) being equiv to counterfactuals is a 20th c idea. Read some old philosophy and you will be shocked by how loosely people thought about what a counterfactual was. ( far looser on "the effect of X..." More on this in a sec) 2/
In practice it seemed there was nothing we can do for a counterfactual if we just use data. What would have happened if I, Kevin, was offered a job as a Michelin sous chef? In the data, it never happened, by definition. 3/
Read 25 tweets
Apr 14, 2021
Perhaps of interest, some back-of-envelope math on Covid vax, "herd immunity", and who will be infected. Incomplete effectiveness, growing protection over time, combo of natural/vaccine protection means "% vaccinated" less useful for comparison over time/across countries 1/18
Assumptions below: 1 dose of Moderna/Pfizer/JNJ 80% protection from infection after 4 weeks, growing linearly, 2 doses of M/P give 95%, 80% of US 16+ will get vaccine (~10% in data only get one dose), infection gives 90% protection, # of infections thus far follow @Youyanggu 2/18
"Effective immunity" here is fraction of R0 infections that don't occur due to natural immunity or vaccine. Assume that kids are equally likely to get Covid and that vaccinated equally likely to have natural immunity as unvaccinated (both conservative assumptions). 3/18
Read 18 tweets
Jun 11, 2020
Thread on economics and racism: the term "systemic racism" is misinterpreted. It does mean "we all are secretly racist and better HR training will fix things". It means "group inequality is result of historical and societal processes that are difficult to fix at the margin."
Black-white wage gap has been roughly constant at ~ 20% since early 1970s - see Derenoncourt and Montialoux on how minimum wage law changes led to some convergence in the 1960s: clairemontialoux.com/files/DM2019.p… . Adjusting for educ/location reduces slightly, but general trend is same.
There is a huge black-white (and black-Asian) gap in school achievement and dropout rates. We have well-identified studies showing these gaps can be closed with quality schools. See Angrist et al on KIPP: onlinelibrary.wiley.com/doi/full/10.10… and Dobbie/Fryer on HCZ: aeaweb.org/articles?id=10….
Read 20 tweets

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