# 0x960

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Joshua Lin](https://cerebralvalley.ai/u/qtzx06)
- **GitHub:** https://github.com/qtzx06/0x960
- **Website:** https://colab.research.google.com/github/qtzx06/0x960/blob/main/notebooks/0x960_minimal_trl_openenv_colab.ipynb
- **Demo video:** https://youtu.be/WEs18jPsZNI
- **Hugging Face:** https://huggingface.co/spaces/qtzx06/0x960
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/81

0x960 is an OpenEnv self-improvement environment where an agent improves a Chess960 engine by editing its evaluation code, benchmarking the result, and iterating through self-play. We use a teacher-student setup: a stronger coding agent generates successful edit-test-finish trajectories, a smaller open model is distilled on those traces to learn the workflow, and then the engine is further improved through automated champion-challenger search and benchmarking. The result is a reproducible environment for training and evaluating long-horizon tool-using agents on real engine optimization, with measurable gains in reward, behavior, and engine strength.

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Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/81. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt