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Curated tech posts from X on AI, startups, and product development—signal without the doomscroll, updated on weekdays.
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University of Toronto mathematician Daniel Litt says AI's math capabilities are bottlenecked on verification: "My sense is the reason [AI models are] not producing long, complicated proofs is that they cannot. The ability to check correctness is not yet there." "If you ask the models to produce a short proof, you can then ask, 'Is that correct?' And they will often say no... The problem with producing a very long thing is they might not know they're wrong." "What I wonder is, presumably…