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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分13

陶哲轩批评用 AI 自动攻克数学难题的方式

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陶哲轩认为,围绕纳维—斯托克斯问题的相关研究如今陷入混乱。他担心,自动化方法即使达成眼前的解题目标,也可能损害领域的后续发展;另一则回复指出,研究生还需要通过阅读证明来学习,而不只是核对证明。

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@rohanpaul_ai

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

回复Iris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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相关上下文Rohan 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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来源:Rohan Paul · x.com

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