Building ML framework with Rust and Category Theory

This is not a critque of the work, but I have now been often encountering category theory in many of the research topics I'm working on, and even as somebody who majored in math, I sort of feel like it doesn't add much. I know ML frameworks intimately, and you really don't need category theory to describe them. But this is maybe (probably) a failure of mine, because I have not yet groked what category theory is really bringing to the table.

Maybe expand ML to Machine Learning to avoid confusing with the programming language

nice work

The style of writing here feels very Claude...

> Rust

> No HKTs

> Category Theory

It's nice to see that.

I don't understand, this looks to me like regular Rust, or regular programming for that matter.

You use types to represent domain objects, and the program is composed of functions that transform domain objects into other domain objects.

Sure types are used a bit more aggressively than usual to restrict domains, particularly the newtype pattern (`struct TokenId(usize)` instead of just `usize`). But it doesn't look too exotic to me, or Category Theory influenced, other than in the sense that Category Theory terminology can be used to describe the structure of a regular typed program.

It's possible that I'm wrong and I'm missing the point. Frankly I really struggled reading this because of the AI generated vibe of the language, more than usual. I generally hate when content is criticised for just being AI generated, you can write very good and valuable things with AI by guiding it properly with authorial intent, but this one does really reek of bloated slop.

[flagged]

Off topic, removed