Computational Mechanics for AI Safety – Adam Shai (PIBBSS)

May 15 - 17, 2024
Hybrid Online / In-person in Berkeley

Join us for an exciting hackathon where we’ll leverage Computational Mechanics to understand and control neural network behavior. This new AI Safety and interpretability approach is built upon a rigorous mathematical framework from physics and enables precise predictions about the internal geometry of AI systems, overcoming limitations of current interpretability methods. Collaborate with researchers and enthusiasts to stress-test the approach, create benchmarks, and develop a science of AI cognitive capabilities and a. Contribute to the advancement of AI safety and help build a safer, more controllable AI future. Sign up now and get ready to contribute to this new approach to AI Interpretability and Safety, and for your chance to win cash prizes!

Partners: Apart Labs