Autonomous AI Agent Runs 1,293 Experiments in Two Weeks to Win 3rd in GPU Kernel Comp
ezyang · x · 2026-08-02
A developer shares an autonomous AI research system that secured 3rd place in GPUMode's eigh kernel competition.
- Impressive Results: Over two weeks, the system autonomously ran 1,293 experiments and consumed 779 million output tokens, ultimately achieving an 8.56x speedup over PyTorch. With minor fixes, it accelerated a real Shampoo training run by 2.2x.
- Autonomous Iteration: The author proposed and reviewed none of the code. The AI agent handled the entire closed-loop process—from ideation and implementation to benchmarking—landing its 252nd optimization just three hours before the deadline.
- Paradigm Shift: The post notes that as underlying LLM capabilities advance, narrow autonomous research systems with clear, quantifiable goals (like AlphaEvolve) have crossed a practical threshold, proving more viable than open-ended AI scientist concepts.
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