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Everyone that happens to be a Google employee, I guess.

“Everyone is excited” but the share of papers that use it hasn’t budged from 3% in years.

This blog seems to be a pretty blatant rip off of the autodidax page in the JAX documentation: https://jax.readthedocs.io/en/latest/autodidax.html

I’m still not sold that we need a new framework in this space. A lot of these articles talk about the amazing features of Jax but not the sharp edges it has.

Frankly, if we were to change anything I would prefer to build on Candle, so if I need to drop down I can write Rust instead of C++. That would be a much bigger win than chasing after a pure functional dream land.

Just cursory looking at Jax, it does feel like >95% of the "everyone excited about Jax" people would get >95% of the performance win for 5% of the increased complexity by using Cython instead...

Does Cython run on the GPU?

I used TF, Torch and Jax to implement a monte carlo sampling thingy and Jax was by far the most readable and performant.

I think the Cython use-case is kinda subsumed by the pypy jit right?

Question assumes facts not in evidence: I'm not the least excited about it.

Jax – Why Is Everyone So Excited About This Framework