AutoML

The Karpathy Loop: Autonomous Agent Optimization as Research Pattern

Karpathy's autoresearch ran 700 experiments in two days on a 630-line codebase: the result matters less than the pattern. The Karpathy Loop (agent + single file + testable metric + time limit) is the atomic unit of constrained autonomous optimization, and it generalizes to any problem with a measurable output and a modifiable code surface. The real competitive shift isn't building better agents; it's designing better constraints, metrics, and stopping criteria: taste becomes the bottleneck, not compute.