Yuchen Jin
СтатистикаCo-founder & CTO @hyperbolic_labs cooking fun AI systems. Prev: OctoAI (acquired by @nvidia) building Apache TVM, PhD @
- Последний пост
- 6 июл.
- Последнее чтение
- 13 авг.
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- 3
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- Язык
- английский
- В каталоге с
- 13 авг.
- 1/24сутки в ленте
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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 . Databricks AI is like a neolab. Join us if you’re cracked!
The dominant coding interface between humans and machines: Punch card: 1950s - 1970s Vim & Emacs: 1970s - 2000s (still active) Visual Studio: 1997 - 2015 VS Code: 2015 - 2023 Cursor: 2023 - now Claude Code & Codex: 2025 - now This is not the endgame.
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