Yeah, definitely early days. But they're saying all the right things: fast code off the bat, easy to vectorize and parallelize, efficient use of memory, easy to create abstractions that execute efficiently on various architectures. The demos are impressive and they have the track record to be credible. I've played with it and the stuff that's been implemented so far works well.

Swift for Tensorflow was such a success.

Oh boy, I remember reading about this for the first time and thinking it was April's fools.

I have tried it. Iirc, the company developed it, or its compiler, specifically for ML/“””AI”””.

If they successfully import Pythons libraries without a bunch of wrapping, its userbase will likely follow.

It was faster than Python and easy to do paralleization like go. But it’s not quite fully baked yet.