bobmarleybiceps

21 ms·

1.
by bobmarleybiceps 6d ago
I think people probably assume that openai / anthropics use of their data is probably like google's """limited""" use, in the sense that historically google wouldn't trivially be able to just tak
2.
by bobmarleybiceps 7d ago
numpy is pretty much all C and python. They may dispatch to some Fortran libraries, but I think basically all the internal implementations they have are C. IIRC, scipy does (did?) actually use a lot of fortran fwiw.
3.
by bobmarleybiceps 8d ago
I sort of wish they used c++ for some of the template stuff, especially since the code base already seems to have some C++ iirc. I also contributed a tiny bit in the past, and their C template system was a surprise. (but this is cool and I
4.
by bobmarleybiceps 8d ago
does this sort of fall into the bucket of counter-examples we've been seeing recently? I understand it's a construction causing blowup and that implies that the navier-stokes isn't regular / smooth, so sort of a counter
5.
by bobmarleybiceps 11d ago
if there's anything that would convince that LLMS are one of the biggest innovations ever, it would be this :-D
6.
by bobmarleybiceps 12d ago
guaranteed, up to lean itself having bugs that are exploited by the LLM :shrug:
7.
by bobmarleybiceps 12d ago
":-o omg our autonomous agents are more powerful than we could have imagined"
8.
by bobmarleybiceps 18d ago
I think it's not unreasonable or uncommon for big O to track separate variables without reducing them, just to highlight the (lack of) sensitivity of different parameters.
9.
by bobmarleybiceps 29d ago
people should read turboquant's open review comments: https://openreview.net/forum?id=tO3ASKZlok
10.
by bobmarleybiceps 2mo ago
Yeah, I don't disagree with a registry. Especially for problems that are important to humans or are expensive for AI to prove/disprove. I partly just want to avoid a situation where the volume of hard-to-search-for results that a
11.
by bobmarleybiceps 2mo ago
I feel like at a certain point, there's is not necessarily a reason to go through the peer review publication process for some AI proofs. Not because "ai bad," but because at some point AI outputs should probably just be trea
12.
by bobmarleybiceps 2mo ago
Panic just makes it sound more real, I think. They were saying stuff like "Eek, our technology is TOO dangerous and advanced and we need to be regulated :-O" when they definitely didn't actually want to be regulated. ("T
13.
by bobmarleybiceps 3mo ago
this is part of why I think most researchers get less productive over time... Someone gets some big result during grad school or early career, get some big job from it, and then struggle to get new results of similar quality :shrug: With ML
14.
by bobmarleybiceps 4mo ago
yeah this is what drives me crazy about LLM writing. Most of the time the prompt has all the info you need and is like maybe a few sentences. Then the LLM expands it into a few paragraphs... I guess if someone is writing like a big fancy em
15.
by bobmarleybiceps 4mo ago
I've been using claude while trying to setup a new personal site. It's very nice to be able to say "I want a nice looking menu with links to other pages" and it spits out something good enough. I would feel very weird us
16.
by bobmarleybiceps 4mo ago
is the kobo store not good/convenient compared to kindle? I thought the kobo store was pretty good, but it is my first and only e-reader.
17.
by bobmarleybiceps 4mo ago
yeah I was being very hyperbolic (and am on the younger side, so tbh wasn't very aware of a lot the x projects... I think those are even riskier than I meant.) google was probably the worst example for me to use tbh, especially since i
18.
by bobmarleybiceps 4mo ago
can very much agree about not writing stuff like reductions yourself, unless you have good reason to. but this sort of feels like another "implement everything with <nvidia stuff> and you'll have a great time!! (but also coi
19.
by bobmarleybiceps 4mo ago
I really wish there were better options to PMPP... It's by far the most up-to-date book, but I totally agree the writing is sort of bad and some of the code examples are straight up incorrect. So tl;dr, you have at least one person who
20.
by bobmarleybiceps 4mo ago
I think Jensen Huang said this recently, and I've had a similar opinion for a while, but a lot of companies seem uncreative with how they use their employees. like google probably has >10k people working on stuff like "ensure
21.
by bobmarleybiceps 4mo ago
it's so great to see people boosting "security" in a way that also just happens to require locking in to big-tech approved apps that send all your data to big-tech so that they can deliver ads to you via your big-tech approve
22.
by bobmarleybiceps 5mo ago
literally watched it last night and was struck by how much "personality" it has.
23.
by bobmarleybiceps 6mo ago
Input (Eminem lyrics): there's vomit on my sweater already, mom's spaghetti. Output: Facing some early-stage operational challenges today. Already dealing with some unexpected "output" on my professional attire, but it’
24.
by bobmarleybiceps 6mo ago
I feel like that's true when the font is insanely small, which I guess was good when people would print entire proceedings. Reading two column super small font on a computer is super annoying though tbh.
25.
by bobmarleybiceps 11mo ago
A personal guideline for a lot of stuff is that a function may be too long when people add comments to mark what sections of it do. (ofc not really a hard rule). I just think it's easier to see "oh this is calling the load_some_s
26.
by bobmarleybiceps 1y ago
I kind of dislike the benchmarkification of AI for science stuff tbh. I've encountered a LOT of issues with benchmark datasets that just aren't good... In a lot of cases they are fine and necessary, but IMO, the standard for legit
27.
by bobmarleybiceps 1y ago
This may not be the actual reason in this case, but I think it's good to be aware of: A non-zero chunk of "ai for science" research done at tech companies is basically done for marketing. Even in cases where it's not dir
28.
by bobmarleybiceps 1y ago
Actually I just happened to see this: https://www.stochasticlifestyle.com/how-chaotic-is-chaos-how... . It's basically explaining the same thing, but much better than me :-)
29.
by bobmarleybiceps 1y ago
I'm not an expert on this, so take this with a grain of salt. Chaotic PDEs are extremely sensitive to initial conditions. This essentially makes it so that any numerical solution will (quickly) diverge from the true solution over time.
30.
by bobmarleybiceps 1y ago
it feels like Nvidia has 30 "tile-based DSLs with python-like syntax for ML kernels" that are in the works lol. I think they are very worried about open source and portable alternatives to cuda.

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