From Julia to Rust: a differentiable tensor stack for scientific computing
postflopclarity
41 points
6 comments
June 30, 2026
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Discussion Highlights (3 comments)
jarbus
really interesting perspective, as an ex-julia user, can't really argue with the main points. I will say that julia is delightful to use and code in, whereas the article's main point is that rust becomes bearable once you don't have to code yourself, haha.
QuadmasterXLII
Disconcerting to see at the end that the blog post is generated. The genre is decidedly “use-my-thing Readme.md” and all current gen LLMs by default jump to shameless lies when they detect that they are writing such a Readme, although they are perfectly capable of working out the truth in a genre like “essay question on which you will be graded by academic standards.” Are the human “coauthors” lying if I hypothetically go to the crate looking for the promised xla backend and find //TODO implement this?
nestorD
I have wanted a JAX-like (XLA backed) Rust tensor library for ever! Plus it looks like they have support for dynamic shapes: https://tensor4all.org/tenferro-rs/design/dynamic-symbolic-s...