Viewing profile — tysam_and
tysam_and
HN member- Joined
- Mon, Dec 12, 2022, 1:23 AM UTC
- HN karma
- 1,158
- Public activity
- 357 items
- HN profile
- View on Hacker News ↗
About tysam_and
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?!?!)
------------------------------------------------------------
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
-
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…
-
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!)
- comment
-
comment
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 …
-
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…
-
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…
-
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…
-
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 …
-
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…
-
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…
-
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 …
-
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…
-
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…
-
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…
-
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…
-
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…
-
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…
-
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 (…
-
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…
-
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…
-
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 …
-
comment
Comment #38810329
I really hope this stays top comment.
-
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…
-
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…
-
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…