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petters

2,768 カルマ登録 10 年前
I work with computer vision and machine learning.

投稿

Anything: Import anything into Python (generated by LLM)

github.com
4 ポイント·投稿者 petters·6 か月前·0 コメント

コメント

petters
·4 日前·議論
> Since connection poolers reuse connections between clients, the connection state of one client “leaks” into the connection state of another.

Wow this is very bad. This actually happens in typical Postgres setups?
petters
·4 日前·議論
5B revenue is not the same as 5B in the bank collecting interest.
petters
·28 日前·議論
> a hand tuned input loop written in C that takes <<1ms

Yes, I would certainly expect much less than 1ms. Perhaps 1µs should be the goal?
petters
·先月·議論
> If we give an LLM a prompt that reads “The following is a conversation between Julius Caesar and Genghis Khan,” it will generate a coherent dialogue between the two historical figures. But no matter how detailed the responses are, no matter how vividly they recount their respective historical accomplishments, we would never conclude that the LLM has conjured up digital re-creations of Julius Caesar and Genghis Khan, nor would we suggest that the historical figures are conscious

They might be in principle. It could be that the best way to generate a plausible dialogue is to bring up re-creations of the characters and have them act it out. LLMs definitely have been demonstrated to have world models in some cases. That helps generating text.
petters
·先月·議論
It also means you'll have to onboard a lot of new employees all the time. That sounds exhausting.
petters
·2 か月前·議論
Wikipedia is amazing. The Swedish articles are even longer.
petters
·2 か月前·議論
Karpathy replied to IS with ”agree” at the time
petters
·2 か月前·議論
Many dismiss Dawkins here but Ilya Sutskever wrote in 2022: “it may be that today's large neural networks are slightly conscious.”
petters
·2 か月前·議論
We have a very good idea of all math behind chemistry. But the equations are very difficult to solve.
petters
·3 か月前·議論
He is much better at building hardware than he is writing software.
petters
·3 か月前·議論
That's a good idea and it exists: https://www.johndcook.com/blog/2026/04/18/qlora/

It seems quite wastful to have two zeros when you only have 4 bits it total
petters
·3 か月前·議論
You could add a feature where it will compute the global optimum of any function of a small number of variables. Branch and bound with interval arithmetic works well for a small number of variables.

Disjoint unions of intervals seems like a nice thing to have
petters
·3 か月前·議論
Yes, that blog post could have been much shorter….
petters
·3 か月前·議論
They have found a large number in OpenSSl
petters
·3 か月前·議論
Dungeon Crawler Carl is not science fiction. At least I would not recommend it to someone looking for science fiction with “interesting ideas.” It’s a comedy about an RPG with magic.

But if that’s what you’re looking for, it’s pretty good
petters
·3 か月前·議論
> the GPU is limited by the Thunderbolt port

Not everything is limited by the transfer speed to/from the GPU. LLM inference, for example.
petters
·3 か月前·議論
> On a 34" ultrawide monitor, it was too easy to put YouTube running on the left side, and whatever else on the right.

Yes, if you were doing that, almost any change to your environment that stops that will be good. I don't think you'd have to give up your monitor.
petters
·4 か月前·議論
That challenge was pretty stupid. I could read the question and I’m not even a native speaker. We can of course easily come up with much better challenges
petters
·5 か月前·議論
As a TA, I've seen adults try to pass initial college calculus many times (and failing - you were allowed to try several times) with enormous effort. It's not a small multiplier

And this was still people selected from the small subset of the population choosing an engineering major. Human are much, much more different than you seem to think
petters
·5 か月前·議論
I think that bias is not due to the proportion of books and more due to how they are fine-tuned after the pretraining.