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You know how AI proofs are supposed to be credible because of formalization with Lean? The AI generates a natural language proof and then supposedly generates a Lean program corresponding to the proof to verify that it’s true. There is now some troubling news about that: there are frequent examples where the statement given in natural language is different from the meaning of the Lean formalization.
The paper even points out several obvious mismatches in OpenAI’s famous Navier-Stokes solution between the English proof and the Lean formalization. There is even a spot where a 4 in the English proof turns into a 5 in the Lean proof (which causes further problems down the line). This is mostly a cosmetic error, and it doesn’t mean that the Navier-Stokes solution is wrong, but there could very well be deeper problems, especially with the English proof. At minimum, this solution absolutely requires careful review by experts. OpenAI’s behavior towards said experts has been appalling.
My viewpoint has been that the only successes that AI has had are in domains where failure is not costly (at least for someone with deep pockets), and especially when there is a formal system such as Lean that can reliably catch errors. So AI can be endlessly trained to write compiling Lean programs corresponding to formal proofs, but as soon as it runs into tasks that are not 100% bolted down, like writing the proof in English, the hallucination problem rears its ugly head. This reinforces my belief that AI is a chess engine but for Lean.
If I was treating this as a technical problem, I would say, why not just have an AI that generates the Lean proof, and at most have an optional assisting tool that translates it into English without perfect reliability? But this is not a technical problem. By outputting English proofs in the format of a research paper, OpenAI can more easily market that their AI is intended to fully replace mathematicians, and that this is only the herald of their superintelligence (and not that math is the only thing working out for them).
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You know how AI proofs are supposed to be credible because of formalization with Lean?
There is another problem… apparently Lean4 hasn’t actually been fully formally verified. And in fact could have more bugs lurking in it, maybe even some foundational problems… Lesswrong post explaining the problems.
OpenAI can more easily market that their AI is intended to fully replace mathematicians, and that this is only the herald of their general superintelligence (and not that math is the only thing working out for them).
Yeah, this has been driving me crazy… reading places like hackernews or r/singularity, I keep seeing people assuming mathematicians and just bitter or engaging in sour grapes and that is why they are complaining about the “proofs” OpenAI dumped out. Like it is just some small niggling detail that the proofs can’t be read by humans and that Lean may have bugs and that some of OpenAI’s proofs have already been shown to have critical mistakes.
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