# PhysProbe

- **Event:** [Nebius.Build SF](https://cerebralvalley.ai/e/nebius-build-sf)
- **When:** Sun, Mar 15 at 9:00 AM – 10:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Sidra Miconi](https://cerebralvalley.ai/u/Sidra)
- **GitHub:** https://github.com/Sidra/physprobe-nebius
- **Demo video:** https://youtu.be/JwMZGknzsww
- **Gallery:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/14

PhysProbe is a self-improving robot skill framework that uses predictive
  world models to make robots safer. 8 world models benchmarked on Nebius
  Token Factory for physics prediction — Qwen3-235B wins at 90% accuracy in
   696ms, 3x faster than Claude, 33x faster than Grok. When models agree,
  the robot skips probing. When they disagree, one gentle 5N touch gives
  94% certainty. When the robot fails, an AI swarm (Diagnostician →
  Inventor → Critic) invents new skills automatically. SkillsBench
  evaluation: +34pp skill delta across 750 trials, more than double the
  industry average. Success rate: 60% → 94%. Catastrophic failures: 34% →
  8%. 73 builds. Solo project by Sidra Miconi.

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Markdown version of https://cerebralvalley.ai/e/nebius-build-sf/hackathon/gallery/14. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt