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That must have slipped through Kevin Buzzard's review, which is not entirely unplausible with 29500 theorems to verify...

I think they should spend another few billion tokens and let agents try to disprove any of those statements or links between them. Then I'd be a lot more convinced.

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You just have to trust the statement and the lean compiler, not the proof. The compiler certainly still has remaining bugs, but I have never seen a bug leading to a false proof in good faith, only via obscure meta programming tricks. The nice thing is that the multiple versions of the compiler are constantly being stress tested. Still, there is plenty of work that could be done to make the compiler more trustworthy / easier to verify.

This being 13M lines of entirely agent-generated code, we can't be certain it's written in good faith and doesn't actually exploit some weird metaprogramming trick. The agents' goal was to write a proof that Lean prints "correct" on, not to check that the proof of the FLT was valid (which they wouldn't be able to do anyway).

It's not impossible, but I also know of no instances of an AI being told to prove something in Lean and exploiting such tricks. Surely Anthropic also had some agents looking for issues with the generated proofs. Personally, I am also comfortable trusting Kevin Buzzard, who was leading the human team aiming to formalize FLT and discussed this a bit on his blog.

Finally, the good thing about Lean is that if anyone ever finds a new compiler bug (which, by the way, are being searched for extensively using AI), you can correct the bug and recompile any old proofs of which you are suspicious. Any tricks in a false proof must be exploiting a bug in the Lean compiler, so as we increase trust in the compiler over time we also increase trust in every previously compiled proof.

I agree it's not a 100% guarantee, but in this case the human proof is well-understood and written about by many experts, so I think Claude had plenty of material to work with. Even if the task was enormous, I don't think any of the individual steps are out of the scope of what we have seen from current AI tools.




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