So is the language itself proprietary licensed, with standard library Apache 2?

Am I understanding the current state of things correct?

A bit odd to have a 1.0 release without Windows support.

This probably has a simple answer, and is something I can easily google. But it's always been in the back of my mind, what optimizations would be possible if you took actual python code and forced 100% type annotation. Could you meaningfully speed that up at the interpreter or with some pre-processing or compilation?

Mojo may be interesting to me, but they should really split it from Max, which is some closed stuff I'm not interested in.

They should show some performance comparisions between PyTorch and Mojo, PyTorch+kernel compilation + Triton vs Mojo, ThunderKittens vs Mojo.

Given the shared heritage with MLIR, one way to think about mojo: higher level IR, but still an IR. Rpython for GPUs.

But mojo is a superset, not a subset. So why not use a subset, infer what you need and generate mojo?

I've never seen this question actually presented to the company and discussed in more detail.

never has their been a language release so uninspiring

The main downside is that usually I only choose languages that the LLM is extremely good at. (however I avoid dynamically typed).

But I hope they succeed, it's a very interesting approach. Then I will jump on it later on. S

a systems language that reads like python is great!

python superset would have been perfect.

I do hope the language thrives and gets a community.

All the best to the modular team.

Sorry Chris, love you but will not use a closed language.

Interesting. Heard about Mojo a few years now, never really tried it. My Python brain cannot really write C++ or Rust but still need the performance.