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tysam_and

HN member
Joined
Mon, Dec 12, 2022, 1:23 AM UTC
HN karma
1,158
Public activity
357 items

About tysam_and

get a completed local CIFAR10 run @94% in great for students. better for researchers. best for unhinged scientists who work at the microscopic level.

it's built to be experimented with. many small hacks take 20 seconds or less from ideation to next completed run. very few take over 5 minutes to implement in the right conditions. using the power of science, version 0.7.0 will be coming soon with one less layer (what?!?!)

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Rest of the bio:

okay so what i really need tbh is someone to take https://github.com/tysam-code/hlb-gpt and make a plot of a trained network using the top n% of the token mass with banded colors representing the lyapunov exponents of the full following sequences (up to about 128 characters or so) mapped onto a poincare disk

bonus if it is clickable so you can advance one token and look at the subgraph for that plot instead

ill handwrite you a very nice thank you note if you do

if you're confused, the above is a plot that would let us explore visually the output space of language models. the lyapunov exponents represent how much information is added, and are calculated by brute force calculating all of the possible sequences of the network to estimate the entropy added per token over each path. this lets us know how chaotic each token branch is. but to save on exploding compute, only calculating the top X% of tokens (by probability mass) keeps the branching a bit lower, and also bonus, we only really see the tokens we sorta care about (maybe this would shoot us in the foot but who knows). because the longer sequences are precalculated, just clicking in a direction would require only calculating one more round of tokens, and you could do a nice animation from wedge to full circle so you're back to where you were on the first step.

super cool and useful i think. and you know you want a nicely written thank you letter. ill even spill peanut butter on the inside if that's in your taste and helps motivate you some. now it's definitely worth it.

Recent public activity

  1. comment
    Comment #40499949

    I sort of wish that we would move on from the "grokking" terminology in the way that the field generally uses it (a magical kind of generalization that may-or-may-not-suddenly-happ…

  2. comment
    Comment #40458137

    Nope! Plenty of people get drowsy effects from non-drowsy antihistamines. It is different for everyone (though, again, I am not a doctor!)

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    Comment #40409913

    Heyo! Have been doing this for a while. SSMs certainly are flashy (most popular topics-of-the-year are), and it would be nice to see if they hit a point of competitive performance …

  5. comment
    Comment #40407697

    This is incorrect enough as to be dangerous (IMPE, I am not a doctor). They are non-drowsy because they do not cross the blood brain barrier effectively as I understand. Second and…

  6. comment
    Comment #40018409

    Or even $7.99, that or $8.99 is sort of a nice line between signaling "very cheap game" and "potentially short but enjoyable experience for the evening worth the gamble to find out…

  7. comment
    Comment #39958422

    yeah it's been crazy to see how things have changed and im really glad that theres still interest in optimizing things for these benchmarks. ;P keller's pretty meticulous and has p…

  8. comment
    Comment #39957939

    Yeah, I saw the work from @Sree_Harsha_N, though that accuracy plot on the Adam/SGD side of things is very untuned, it was about what one could expect from an afternoon of working …

  9. comment
    Comment #39957785

    hey dont forget about david me and keller (he is currently the champ and has good pareto configs for not just 94 but also 95 and 96 % : https://github.com/KellerJordan/cifar10-airb…

  10. comment
    Comment #39955126

    This is a pretty hyped-up optimizer that seems to have okay-ish performance in-practice, but there are a number of major red flags here. For one, the baselines are decently sandbag…

  11. comment
    Comment #39271221

    Funding is a huge one as well. Funding is the wheel that drives the project (source, have been hanging around the project people for a little while). If you know anyone that would …

  12. comment
    Comment #39269257

    I get the feeling you may not have read the paper as closely as you could have! Section 8 followed by Section 2 may look a tiny bit different if you consider it from this particula…

  13. comment
    Comment #39269231

    Yes! This is a consequence of empirical risk minimization via maximum likelihood estimation. To have a model not reproduce the density of data it trained on would be like trying to…

  14. comment
    Comment #39269216

    I wish that this worked out in the long run! However, watching the field spin its wheels in the mud over and over with silly pet theories and local results makes it pretty clear th…

  15. comment
    Comment #39256447

    I appreciate the effort that went into this visualization, however, as someone who has worked with neural networks for 9 years, I found it far more confusing than helpful. I believ…

  16. comment
    Comment #39256432

    Some of the topics in the parent post should not be a major surprise to anyone who has read https://people.math.harvard.edu/~ctm/home/text/others/shanno... ! If we do not have read…

  17. comment
    Comment #39225389

    This message confused me on a few dimensions, so I translated it a bit: "State subjective perspective as objective fact. Cast shame upon the OP for not pre-aligning with said belie…

  18. comment
    Comment #39039025

    This is, among other things, a very natural consequence of some of the equations surrounding and involved in Shannon's original noisy channel capacity theorem, where the noise is (…

  19. comment
    Comment #39038904

    Yes! Playing through the rote action exchange can be rather exhausting, especially if I've already bridged that connection and know the person -- there's not much reason for it, an…

  20. comment
    Comment #39036169

    I mean, again, that's not really the point that I was making. I'm talking about the foundational emotional need of connection, not everyone connects well in that manner, the qualit…

  21. comment
    Comment #39035174

    Well they can find alternative methods then that are less frazzling, there are fewer things worse than not feeling seen due to only answering questions! I know it can be good, but …

  22. comment
    Comment #38810329

    I really hope this stays top comment.

  23. comment
    Comment #38749172

    I think it's honestly quite hard to know, as it's really (generally speaking, AFAIPK) impossible to directly compute the KC in most cases, only really from the feasibility standpoi…

  24. comment
    Comment #38711348

    Minor potential performance benefit -- it looks like you might be able to fuse the x_proj and dt_proj weights here as x_proj has no bias. This is a thing that's possibly doable sim…

  25. comment
    Comment #38711253

    Oh my gosh, another one-file PyTorch implementation. This is fantastic. I'd like to hope that some of my previous work (hlb-CIFAR10 and related projects, along with other influence…