Ensuring AI Robustness
Paul and Ryan discuss the challenges of building AI systems that behave consistently and predictably, exploring the concept of out of distribution robustness and the importance of training models to generalize in the intended way. They delve into the idea of tempting AI systems with scenarios that mimic real-world threats to evaluate their behavior, highlighting the difficulty of achieving robustness in practice.In this clip
From this podcast
Bankless
168 - How to Solve AI Alignment with Paul Christiano
Related Questions