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Recursive models like TRM/CTM/UT have create a lot of buzz lately. But they're rarely used outside of static, toy domains - especially language. In 2018, we saw "Universal Transfor…

> There are plenty of compilers that place restrictions that you barely notice. gcc, clang, nvcc -- they're fairly flexible, and "dynamic" In the context of scientific computing - …

I haven't used TinyGrad but I'm not really sure what its goal is. To be the best autograd framework? to be a minimal one? I'm glad they've removed the (rather arbitrary, and admitt…

Hey patrick, love your work! I think the biggest, well "con" I've seen is non-technical - the fear of JAX being killed by Google. I mention in the blog as well [here]( https://neel…

> with torch.compile the main advantage of jax is disappearing. Interesting take - I agree here somewhat. But also, wouldn't you think a framework that has been from the ground-up …

> In another timeline AI would have made Lua popular. I wonder if it'd have been hated more than Python is - especially with the 1-based indexing...

Hey, thanks for actually engaging with the blog's points instead of "Google kills everything it touches" :) 1. I'm well aware of the PyTorch stack, but this point: > PyTorch is bui…

Curious to know how the OP is biased when they have no conflict of interest, and they explicitly mention the `torch.compile` stack like... a few dozen times in the blog?