See https://blog.racket-lang.org/2026/05/racket-v9-2.html for the release announcement and highlights.

If you are using rackup you can upgrade with `rackup upgrade`

Don’t forget to migrate your packages with raco pkg migrate 9.1

At $dayjob I'm using it to test what novel geometries of deep learning models would look like. Being able to redefine any part of the stack for any reason is a superpower you don't know you need until you do.

A great place to start is the little learner which holds your hand until you get opinionated about what the underlying primitives should look like. E.g. what if we used sparse tensor representation?