The universe is not made of things that move. It's made of permutations, some of which look like things that move.
@pmddomingos
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Distinguishing True Talent from Luck in AI Industry
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The difference between insiders and outsiders is that insiders know who's really good and who just got lucky.
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The 2020s Mirror 1970s but at Accelerated Speed
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The 2020s are like the 1970s, except everything happens a lot faster. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026The 2020s are like the 1970s, except everything happens a lot faster.
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AI Must Transform Reasoning Into Mathematical Proofs
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AI should turn your sloppy reasoning into mathematical proofs, not the other way around.
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Laffer Curve Economics and Tech Policy Discussion
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Someone tell this guy about the Laffer curve. https://t.co/vxmZ2xazRi
— Pedro Domingos (@pmddomingos) 29 avril 2026Someone tell this guy about the Laffer curve.
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Outdated Hardware Remains Valuable Infrastructure Despite Investment Loss
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They don’t burn out, they just become outdated. But they’re still useful, just a bad investment for the companies that paid for them. And the rest of the infrastructure is still there.
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Successor Representations as World Models in AI Systems
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E.g., successor representations are world models but not transition models.
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Frontier Labs vs Universities: Who Drives AI Innovation?
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Also, frontier labs will invent less than universities, as has always been the case, and what universities invent is free for everyone to use.
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World Models vs Transition Models: Clarifying AI Concepts
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Yes, of course transition models are older. My point is that world models in AI are older than Schmidhuber's, and they're not the same as transition models. (It's really Schmidhuber's fault for mixing up the two. World model is a much broader notion than transition model.)
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Agents and World Models: A 1986 Perspective on AI History
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I have some news from 1986 for people who think agents, continual learning and world models were invented yesterday: