Ecotheoretica

241 posts

Ecotheoretica

Ecotheoretica

@ecotheoretica

A theorist to be.

Katılım Mart 2021
136 Takip Edilen42 Takipçiler
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Rohit Lamba
Rohit Lamba@rohlamba·
Such great news. @HyunSongShin is a rockstar. And at heart... a true theorist. The Morris and Shin papers are some of my favorites. Many congrats Hyun :)
Greg Ip@greg_ip

Very big deal. @HyunSongShin is a legit rock star of financial and monetary economics. Reminiscent of Raghuram Rajan being named to run the Reserve Bank of India or Stan Fischer to run the Bank of Israel.

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John Stachurski
John Stachurski@john_stachurski·
Tom and I have finally finished a draft of Dynamic Programming Vol 2! Exhausting but satisfying. New approach to DP theory, advanced material, many applications... dp.quantecon.org
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Ivan Werning
Ivan Werning@IvanWerning·
Iran War --> Oil shock 📈 How should central banks respond? Why is coordination needed? When inflation comes from global price shocks, each central bank takes the shock as given—but their policies jointly determine global demand. That’s the mechanism in our paper.
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Brian Albrecht
Brian Albrecht@BrianCAlbrecht·
I can’t not respond to Dwarkesh invoking Alchian. Let me explain the “ship the good apples out” theorem of Alchian and Allen. en.wikipedia.org/wiki/Alchian%E… The price of an AI model has two parts: the model price (differs by quality) and the compute cost to run it (roughly equal across models). Because compute is an equal cost, the *relative* price of the best model is compressed. Frontier model costs $10, basic costs $5, the relative price of frontier is 2x. (Made up numbers to explain it) Add $20 compute to both, now $30 vs $25, only 1.2x. Relative price changes when we take into account compute. This a hugely important idea and you see it everywhere. There are two subtleties though: The first is there are no margins in Alchian-Allen. We need a small step to get to how margins. The second thing is that Alchian-Allen is a comparison across space. It’s about how some customers face the 2x price. Those are local people no transportation costs (the constant across quality cost). People who need to ship face the 1.2x price so the goods get sorted differently “ship the good apples out”. What are the two groups here? I’ll have to speculate. Maybe it’s a hypothetical prediction about how people behave if we forgot compute is a cost too. You think the relative price is 2 but it’s 1.2, so we will see more frontier than you expect. Maybe it’s a comparison about across time. Today is the local market; tomorrow is the other market. Not sure. But the important thing is to thing seriously about relative prices for everything!
Dwarkesh Patel@dwarkesh_sp

There's an economics theorem called Alchian-Allen. And it has the very interesting implication that AI labs will be able to charge *higher* margins on their best models as compute gets scarcer. As compute gets more expensive, the cost of running any model goes up. So you might as well pay a bit more to make sure you're running the very best model. Which means the economics of being at the frontier improve, because if you’re not running the very best model, then you’re underutilizing this very precious compute. This pushes the AI model market towards winner-take-all; if you're the best, you can get away with charging an even higher margin. @dylan522p tells me that we’re already seeing this today: all the revenue in the industry is on the best models. That’s the Alchian-Allen effect. If there’s a cost increase that’s roughly the same for all products, then the relative difference in price between higher and lower quality goods actually goes down. Consumers become relatively more willing to pay for the premium product. And it means that as the compute shortage hits, AI labs can capture more margin - not less, as you might expect - because consumers are choosing premium models more often.

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Haris Aziz
Haris Aziz@harisazizk·
📜Our working paper on Fair Transit Stop Placement: A Clustering Perspective and Beyond. It explores the extent to which fair clustering research can guide fair transit placement. It was first presented at FOCS 2025 workshop TAO. @unsw_ai 🔗cgi.cse.unsw.edu.au/~haziz/fair-tr…
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Haris Aziz@harisazizk

Our working paper: we design algorithms for proportional representation in clustering. Our algo for the unconstrained setting is also the first known P-time approx algo for the well-studied PF axiom (Chen et al., ICML 2019). @bartonelee2 cse.unsw.edu.au/~haziz/fairclu…

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Haris Aziz
Haris Aziz@harisazizk·
A review by @ulle_endriss & @nicolas_maudet of the influential work of mentor & collaborator Jérôme Lang on the occasion of his 60th birthday. Jérôme has significantly shaped research on collective decision-making at the intersection of Economic Theory and AI.
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