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🚨 BREAKING: Fields medalist Terry Tao on how mathematics will change: “When these tools are perfected, we will change the way we do mathematics. If there's a drudgery or a big computation, we'll just hit it with all our technology and say: 'By Gauss, you can get from here... show more
139,137 görüntüleme • 10 ay önce •via X (Twitter)
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Vibe Math is real

1/ Having a strong Lean engine is definitely a nice thing to have -- but there are limits to what is natural to do in Lean (or any formal systems). I'm reminded here of the nice example that Patrick Massot mentioned in his talk about the concept of ... limits in calculus [1] :) If you want to formalize all possible variants of each type of limit at a point of a function in a "naive" way, there are many definitions to state: of the limit at a point with the limit equaling a number, of the limit at a point with that point remove equaling infinity, etc. If you count them, it seems to amount to actually 256 (!) definitions (see the 45m30s mark of the video). There are two ways out of this: 1) In practice, no one gets taught all 256 definitions but rather one teaches the "abstract generator" behind the definition. 2) One abstract all these away by using ultrafilters, and then just teaches limits in the setting of ultrafilters. Both ways then also help to reduce the sprawling number of plumbing lemmas (like composition of two lemmas) that one otherwise would help to prove about limits (which are 4096 according to the video, which seems plausible). Both solutions are possible execute in Lean, but are awkward to perform. [1]

Math is about discovery, and when I feel like I’m connecting topics from sources that are related that in itself feels like discovery

He hasn't gotten over yet that his work isn't on par with Grigori Perelman's or Andrew Wiles. And it will never be. He is the clearest example that the IMO selects for moronic savants, not genius. He forgot about Godel, apparently.

Send this to Terry Tao . He might learn something.

Truly exciting! Congrats guys.

@danielarpm

don't we need to hire bright minds though?

i dun like this guy, but y

What then happens when we leave all the mathematics to computers to do?

Finally, the greatest minds are beginning to realize the true potential of AI in math.

Engineers see this as the way. The better the probability model, the better the prediction. Isn't that a major purpose of mathematics? ( I said a major purpose not the only purpose.)
