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jeremyjhtoday at 11:42 AM2 repliesview on HN

I'm curious how you think "word predictor" meaningfully describes an instruct model that has developed novel mathematical proofs that have eluded mathematicians for decades?

edit:

You cannot predict all the actions or words of someone smarter than you. If I could always predict Magnus Carlsen's next chess move, I'd be at least as good at chess as Magnus - and that would have to involve a deep understanding of chess, even if I can't explain my understanding.

I can't predict the next token in a novel mathematical proof unless I've already understood the solution.


Replies

GigaDingustoday at 11:59 AM

I think that's more of a limitation in how people think about word predictors

If you can predict the words a bright person will say about X... Isn't that some truly astounding tool? That could be used in myriad useful ways if one is a little creative with it

Since it's also "alien" it can also detect and explore paths that we simply haven't noticed since their biases aren't quite the same as ours

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ThrowawayR2today at 3:42 PM

Terence Tao himself answers that question (https://www.nature.com/articles/d41586-026-01246-9) :

"In almost any other application, the biggest Achilles heel of AI is that it makes unverifiable mistakes. But in mathematics, almost uniquely, you can automatically check the output — at least if the output is supposed to be the proof of a theorem, although that is not the only thing mathematicians do. So, AI companies have recognized that their most unambiguous successes — if they’re going to have any — are going to come from mathematics.

In my opinion, there are many use cases of AI that are risky and controversial. In mathematics, the downsides are much more limited"

AI successes in mathematics don't generalize to successes in other fields as the AI promoters want to suggest.