Databricks 用 GPT-6 Astra 与 Opus 5 自爬循环登顶 GPU 内核榜

Yuchen Jin @Yuchenj_UW原推发布于 2026.09.29

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We @databricks now rank #1 on NVIDIA’s SOL-ExecBench kernel leaderboard, across all 4 tracks. We put GPT-6 Astra and Opus 5 in a self-hillclimbing loop, and the agents beat the top GPU kernel engineers. Total toten spend: ~$70K, far less than what kernel engineers get paid. One learning: GPT-6 Astra and Opus 5 are still much better than OSS models at writing GPU kernels.