Hacker News Reader

I don't understand why Apple isn't trying to integrate better with the standard tools for that field. I guess it makes sense to lock in app devs, but ML eng.?

That said I've had good success with onnxruntime recently [0].

[0] https://onnxruntime.ai/docs/execution-providers/CoreML-Execu...

View on HN

The project probably at least partially serves as documentation for other platforms to integrate Silicon acceleration. It basically demonstrates how to use macOS Accelerate and Metal MPS (metal performance shaders) using C++ for Machine Learning and training optimization.

Thus other platforms can simply take this backend-code and integrate it. (Pytorch basically did that already with Apple's help).

It doesn’t use MPS, so at least that part is more interesting than the usual approach.

Nailed it. I think more than partially. What happens in this repo will spread to the other major frameworks and over time, clever ideas that spawn on other projects will be reimplemented with Apple's adjustments back into the repo. It's a brilliant and efficient way to interact with the community, that can likely be measured in more sales of their hardware over time.

It's apple. If they can't lock you in and milk you it's not worth doing.

Reply on news.ycombinator.com