Viewing profile — jwuphysics
jwuphysics
HN member- Joined
- Tue, Apr 05, 2011, 5:47 PM UTC
- HN karma
- 523
- Public activity
- 119 items
- HN profile
- View on Hacker News ↗
About jwuphysics
https://jwuphysics.github.io
Recent public activity
-
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…
-
comment
Comment #42210051
Could you say a bit more about how so?
-
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…
-
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…
-
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"…
-
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:/…
-
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…
-
comment
Comment #40242236
That makes sense and I'll run a few evals. Many thanks for open sourcing your work!
-
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…
-
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…
-
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…
-
comment
Comment #39696740
UniverseTBD ( https://universetbd.org ) is also making great strides in the space of large language models and astronomy.
-
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?
- story
-
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.
-
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…
-
comment
Comment #38616372
Duplicate: https://news.ycombinator.com/item?id=38614232
-
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!
-
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 +…
-
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…
-
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…
-
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.
-
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…
-
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…
-
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…