Weber Optimizer Powers Autonomous ML Fork
Fork of karpathy/autoresearch introduces Weber electrodynamic optimizer adapting learning rates via physics-inspired velocity and acceleration. Adds hardware entropy seeding from RTL-SDR, multi-provider AI agent harness with tools, and multi-GPU support. Merged community experiments improve baseline val/bpb from 0.9979 to 0.9697.






