Pytorch

AI’s next hardware fight is over the power bill, not just faster chips

Korea’s Rebellions is presenting rack-scale AI inference systems with claims of much lower power and cost.

Sven’s pseudoinverse trick: A natural gradient with less hype

Sven’s authors claim their pseudoinverse-based optimizer cuts natural gradient costs to *k*× stochastic overhead—without defining *k* for real-world models.

Meta is not chasing a bigger AI model, but a cheaper machine to run it every day

Meta unveiled four generations of custom inference chips, the clearest signal yet that tech's biggest players refuse to keep paying Nvidia's toll for every bit that passes through their networks.

The AI black box gets an equation window, if SymTorch survives testing