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jwuphysics

HN member
Joined
Tue, Apr 05, 2011, 5:47 PM UTC
HN karma
523
Public activity
119 items

About jwuphysics

AI/ML for scientific discovery. Mostly interested in galaxy formation and evolution.

https://jwuphysics.github.io

Recent public activity

  1. comment
    Comment #42606873

    Have a PhD in physics/astronomy, so—full disclosure—I'm not an expert here... I skimmed the paper and I have no idea what he's talking about. Given that half of his eight reference…

  2. comment
    Comment #42210051

    Could you say a bit more about how so?

  3. comment
    Comment #42210024

    Incredible, well-documented work -- this is an amazing effort! Two things that caught my eye were (i) your loss curves and (ii) the assessment of dead latents. Our team also studie…

  4. comment
    Comment #41712730

    You can get a nice sample of papers using VVV data using the Astrophysics Database System [0]. I mostly study other galaxies, which usually aren't variable on human lifespan-like t…

  5. comment
    Comment #40992115

    > Why not just say "incoherent output"? Because the biggest problem with hallucinations is that the output is usually coherent but factually incorrect. I agree that "hallucination"…

  6. comment
    Comment #40791333

    Have you looked into TinyCorp [0]/tinygrad [1], one of the latest endeavors by George Hotz? I've been pretty impressed by the performance. [2] [0] https://tinygrad.org/ [1] https:/…

  7. comment
    Comment #40751183

    PBMs hold an incredible amount of power. The Acquired podcast did a marvelous breakdown of the American pharmaceutical industry while covering Novo Nordisk ( https://www.acquired.f…

  8. comment
    Comment #40242236

    That makes sense and I'll run a few evals. Many thanks for open sourcing your work!

  9. comment
    Comment #40241766

    How much do you expect auto-context and clustering+re-ranking to help for cases in which documents already have high-quality summaries? For context, I parse astrophysics research p…

  10. comment
    Comment #39952341

    I am an astronomer and was at a conference when this headline broke. Obviously we ignored this and read the actual papers, e.g. https://arxiv.org/abs/2404.03002 . There you can see…

  11. comment
    Comment #39698656

    Oof, yeah that's not a very good response. But I guess color is actually a technical term in research astronomy: it refers to the difference in two specified magnitudes (usually ph…

  12. comment
    Comment #39696740

    UniverseTBD ( https://universetbd.org ) is also making great strides in the space of large language models and astronomy.

  13. comment
    Comment #39350168

    Thanks for your spectacular resources! I see that you began an Annotated Mamba repository -- any chance you could share when that blog page might go live?

  14. story
  15. comment
    Comment #38665230

    I would be surprised if this is the case. Neural scaling laws are well known and are used by all big industry players to extrapolate experiments.

  16. comment
    Comment #38616475

    Hi Jeremy & Eric, great to see your newest endeavor. I hope that Answer.AI builds on the success and impact that fast.ai has already enjoyed. Given new developments in hardware (by…

  17. comment
    Comment #38616372

    Duplicate: https://news.ycombinator.com/item?id=38614232

  18. comment
    Comment #37998878

    You can read the [50 Years of Text Games]( https://if50.substack.com/archive ) newsletter that preceded the book. I highly recommend it!

  19. comment
    Comment #37688543

    There is indeed lots of uncertainty, and all Milky Way mass estimates are model dependent. Also, the ~10^12 solar mass figure referred to above is an estimate of the total galaxy +…

  20. comment
    Comment #37525276

    > The idea that AI might transform scientific practice is therefore feasible. But the main barrier is sociological: it can happen only if human scientists are willing and able to u…

  21. comment
    Comment #37448507

    > why did you loose an interest? Two reasons: 1. The posts I'd find most interesting in the site are ones related to astronomy and applied machine learning. If there wasn't anythin…

  22. comment
    Comment #37448278

    Although not the point of my comment (I don't want to sign in at all ) -- I personally like a username/password the best.

  23. comment
    Comment #37448210

    As others have said, forcing a login is a huge barrier. I wanted to see if any astronomy posts were on the front page, and when I didn't see any, I tried to check out the categorie…

  24. comment
    Comment #37404752

    Fascinating! I dug into the Wikipedia article, which cites a Scholarpedia article; the LLM answer seems to originate from a reference to this sentence [1]: > So, MOND reduces the d…

  25. comment
    Comment #37400625

    In terms of the actual article -- really nice finding. Or I guess, nice set of experiments to decipher what lots of LLM researchers have been finding! I've noticed somewhat similar…