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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.

Reddit r/MachineLearningCommunityMar 18#optimizer#hardware-entropy#ai-agents