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PyTorch and JAX have very good — but narrowly scoped — compilation facilities, and this suffices for a lot of really compelling AI applications.

A strong general purpose compilation story for Python is unlikely to materialize, IMO.

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The pressure from slow and steady Julia's adoption, Mojo arriving into the scene, Facebook and Microsoft jumping into the JIT story, changing CPython team opinion on the matter, still leaves some hopes it might happen.

However now having Pytorch, Tensorflow and ONMX exposing the underylying native libraries to more programming languages, might mean to leave Python as it is, and use the other programming stacks for production.

I’m very excited about Mojo as a Rust 2.0 with first-class Python compatibility and support. Who knows if it’ll take off, but I love the project’s ideas and respect its ambition.

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