Yuchen Jin@Yuchenj_UW · XDatabricks 在 NVIDIA SOL-ExecBench kernel 排行榜 L1 single operation 赛道排名第一，完全依靠 AI 智能体自主运行。使用的框架是 KDA、Humanize 和 Omnigent：由 Claude 编写代码，Codex 审查代码，实现了递归自我改进。该工作由 Databricks 的 leshenj15 主导，并与 NVIDIA 及 MIT HAN Lab 的 Ligeng Zhu 和 Dongyun Zou 合作完成。
Databricks ranks #1 on NVIDIA's SOL-ExecBench kernel leaderboard， in the L1 single operation track， powered by KDA （Kernel Design Agents） 🎉
What's crazy is： we 100% leveraged AI agents to beat the competition.
This is a sneak peek at recursive self-improvement. The core frameworks we used were KDA， Humanize， and Omnigent： Claude writes code， Codex reviews. Together， they enabled agents to run autonomously for as long as possible. The key is setting up the right framework to let the agents cook.
This work was driven by @leshenj15 at Databricks， in collaboration with NVIDIA and MIT HAN Lab's @LigengZhu and @DongyunZou03 .