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nybsjytm

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Joined
Thu, Dec 14, 2023, 8:57 PM UTC
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Public activity
113 items

About nybsjytm

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Recent public activity

  1. comment
    Comment #45433887

    I called it the easiest part of his papers, not easy. Either way, it's actually not relevant to the proof. For example, I believe that Morgan and Tian's 500 page exposition of the …

  2. comment
    Comment #45428462

    > brilliantly realised Can you say more about this? Nothing about this approach seems very amazing to me. Construct an approximate solution by some numerical method (in this case n…

  3. comment
    Comment #45428331

    > Folks knew the problem was near a solution once the monotonicity proof of the W functional came out. This isn't true, it was a major accomplishment but by far the easiest part of…

  4. comment
    Comment #45420699

    > PINNs are different in concept, yes, but clearly no less important If anything I think they're more important! Whether or not it works out for Navier-Stokes, this kind of thing i…

  5. comment
    Comment #45420461

    > I know they are so close to a computationally-assisted proof of counterexample that it is virtually inevitable at this point. That's a strong claim. Is it based on more than the …

  6. comment
    Comment #45027934

    Not sure what this has to do with my post.

  7. comment
    Comment #44968733

    Any mathematicians who have actually called it "new interesting mathematics", or just an OpenAI employee? The paper in question is an arxiv preprint whose first author seems to be …

  8. comment
    Comment #43356298

    There's a related section about 'mathiness' in section 3.3 of the article "Troubling Trends in Machine Learning Scholarship" https://arxiv.org/abs/1807.03341 . I would say the situ…

  9. comment
    Comment #43356096

    Much physicist math can't be made rigorous so easily! Which isn't to say that much of it doesn't still have great value. However the math in AI papers is indeed different. For exam…

  10. comment
    Comment #43347388

    > Checking the correctness of proofs is a much easier problem than coming up with the proof in the first place. Just so this isn't misunderstood, not so much cutting-edge math is p…

  11. comment
    Comment #43347263

    > Many AI researchers are mathematicians. Any theoretical AI research paper will typically be filled with eye-wateringly dense math. AI dissolves into math the closer you inspect i…

  12. comment
    Comment #42170359

    I consider it unconfirmed until it happens! No idea where I saw it but it was probably on twitter.

  13. comment
    Comment #42170210

    This takes for granted a formal setting, which is what I'm questioning in any of these 'real world' contexts.

  14. comment
    Comment #42170176

    Hmmm I think even in something very nominally nearby like theoretical physics, there's very little that's similar to theorem proving. I don't see how AlphaProof could be a stepping…

  15. comment
    Comment #42169965

    You don't even need AI to regurgitate Perelman's papers, you can do that in three lines of python. What I meant is that there's no AI you can ask to explain the details of Perelman…

  16. comment
    Comment #42169740

    Very plausible, but that would also be noteworthy. As I've mentioned in some other comments here, (as far as I know) we outside of DeepMind don't know anything about the computing …

  17. comment
    Comment #42169255

    If this were the case, I don't see why we'd need to wait for an AI company to make a breakthrough in math research. The key issue instead is how to encode 'real-life' statements in…

  18. comment
    Comment #42169122

    The quality of AI algorithms is not based on formal mathematics at all. (For example, I'm unaware of even one theorem relevant to going from GPT-1 to GPT-4.) Possibly in the future…

  19. comment
    Comment #42169112

    No, nobody has proved it. Side point, there is no existing AI which can prove - for example - the Poincaré conjecture, even though that has already been proved. The details of the …

  20. comment
    Comment #42168169

    As a mathematician, of course I agree. But in a sentence like: > A speedup in the movement of the maths frontier would be worth many power stations who is it 'worth' it to? And to …

  21. comment
    Comment #42167744

    Being logical in social life is pretty much completely different from being logical in a mathematical argument, especially in a formal theorem proving environment. (Just try to wri…

  22. comment
    Comment #42167522

    It's worth emphasizing that it's been possible for years to use an automatic theorem prover to prove novel results. The whole problem is to get novel interesting results.

  23. comment
    Comment #42167489

    > A better question is what can happen when everybody has access to above average reasoning. Our society is structured around avoiding confronting people with difficult questions, …

  24. comment
    Comment #42167482

    For some time a 'superhuman math AI' could be useful for company advertising and getting the attention of VCs. But eventually it would be pretty clear that innovative math research…

  25. comment
    Comment #42167292

    I agree that the result is important regardless. But the tradeoff of computing time/cost with problem complexity is hugely important to think about. Finding a proof in a formal lan…