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pfdietzyesterday at 3:59 PM1 replyview on HN

For theorem proving, once the statement is formalized, there's an oracle for correctness of the proof. For deciding if something is interesting, well, de gustibus non est disputandum, you know?

Experience with Lenat's AM decades ago had it go off making all sorts of uninteresting hypotheses. That's very weak evidence, of course.

This suggests people also have role for fundung "beautiful" or "the best" proofs, since that also involves taste. More generally, perhaps the role of people is to reveal their preferences, and that requires people be in the loop somehow. Maybe "math criticism" becomes the job. And if AI is to serve people in general, it needs to know these preferences.


Replies

muldvarpyesterday at 4:29 PM

I think the training data contains more than enough information for an LLM to learn what kind of proof is considered beautiful or elegant by humans.

Of course it also contains more than enough information to learn what kind of question is interesting to humans.