31–40 of 113 posts
I wish dex-lang [1] had gotten more traction. It’s JAX without the limitations that come from being a Python DSL. But ML researchers apparently don’t want to touch anything that doesn’t look exactly like Python. [1]: https://github.com/google-research/dex-lang
So not quite “JAX without limitations” — but certainly without some of the limitations.
Earlier quoted context omitted.
You don't think its possible to (even theoretically) improve on javascript for its intended use case? What a terrific lack of imagination. Typescript and Elm would like a word
No, I said there's nothing that exists right now that's theoretically better. Typescript isn't. It'd be great if TS's type inference were smart enough that it basically takes no additional dev input vs JS, but until then, it's expensive to use. It's also bolted on awkwardly, but that's changing soon. Could also imagine JS getting some nice Py features like list comp. Also, generally when people complain that JS won t…
I want to write the type, and for that to reveal the mistake.
Some assert-ing won't hurt you. Seriously. It might even help keeping your sanity.
Jax is dead, long live PyTorch. PyTorch has _twenty times_ as many users as Jax. Any rumors of its death are highly exaggerated
They used to say the same thing about Perl and Python Downvoted. Hmmm. I’m a little tired so I don’t want to go into detail. However, I was a Perl programmer when Python was rising. So, needless to say, having a big lead doesn’t matter. Please learn from history. A big lead means nothing.
Earlier quoted context omitted.
No, I said there's nothing that exists right now that's theoretically better. Typescript isn't. It'd be great if TS's type inference were smart enough that it basically takes no additional dev input vs JS, but until then, it's expensive to use. It's also bolted on awkwardly, but that's changing soon. Could also imagine JS getting some nice Py features like list comp. Also, generally when people complain that JS won t…
I see this a lot, and I want to find the right words for it: I don't want the types automatically determined for what I write, because I write mistakes. I want to write the type, and for that to reveal the mistake.
Jax is dead, long live PyTorch. PyTorch has _twenty times_ as many users as Jax. Any rumors of its death are highly exaggerated
i like pytorch because all the academia release their code with it ive never even heard of jax nor will i have the skills to use it i literally just want to know two things: 1) how much vram 2) how to run it on pytorch
Jax is a competing computational framework that does something similar to PyTorch, so both of your questions don't really make sense.
I wish dex-lang [1] had gotten more traction. It’s JAX without the limitations that come from being a Python DSL. But ML researchers apparently don’t want to touch anything that doesn’t look exactly like Python. [1]: https://github.com/google-research/dex-lang
It seems like an experimental research language. Julia also competes in this domain from a more practical standpoint and has less limitations than JAX as I understand it, but is less mature and still working on getting wider traction.
Shameless plug for one of my talks at JuliaCon 2024: https://www.youtube.com/live/ZKt0tiG5ajw?t=19747s. The comparison between Python and Julia starts at 5:31:44.
I wish dex-lang [1] had gotten more traction. It’s JAX without the limitations that come from being a Python DSL. But ML researchers apparently don’t want to touch anything that doesn’t look exactly like Python. [1]: https://github.com/google-research/dex-lang
Dex is also missing user authored composable program transformations, which is one of JAX’s hidden superpowers. So not quite “JAX without limitations” — but certainly without some of the limitations.