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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score13

Terence Tao criticizes the way AI is used to solve math problemsMachine translation

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Terence Tao says work around Navier–Stokes is now in disarray. He worries that automated approaches may achieve an immediate goal while damaging a field’s future development. A separate reply notes that graduate students learn by reading proofs, not just checking them.

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@rohanpaul_ai

@Iris97w Well, from here on, humans will only be checker

ReplyIris晴柔@Iris97w
@rohanpaul_ai the training pipeline breaks too — grad students learn the field by reading proofs, not just checking them haha
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Related contextRohan Paul@rohanpaul_ai
Terence Tao has a problem with how AI is doing math, and it has nothing to do with whether the proofs are correct. 😀 Mathematicians wanted AI as a calculator, not a competitor. "So, there was quite a lot of activity around Navier-Stokes, and now it’s all kind of in disarray. Eventually, we will recover. I think eventually we will understand that proof, and eventually people will come back into the field, but the way it was done was very suboptimal. I think there’s a responsible way to solve problems that develops a field, and then there’s this irresponsible way, which is this emerging, sort of automated strip mining of these problems, where you get your immediate goal but at the cost of damaging the future development of the field." - Terence Tao ---- Full video on "New Scientist" YouTube channel, (link in comment)
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Source: Rohan Paul · x.com

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