This is an impressive piece of engineering, no doubt. The API is clean, performance work is serious, and it’s clear a lot of effort went into making this fast. But let’s be honest: without autograd and a real training ecosystem, this is not a PyTorch replacement, it’s a very nice numerical toolbox. Also, tying GPU acceleration mostly to Metal makes this far less useful outside the Apple ecosystem. Right now, it looks like a technically excellent project searching for its real-world niche. If you add proper differentiation, broader GPU support, and prove that this scales with real users, then it could become something truly important. Until then, it’s great work — but not a revolution.
noahkay13|24 days ago