Import AI 437: Co-Improving AI; RL Dreams; AI Labels Might Be Annoying

Summary

Jack Clark discusses three timely AI topics: Facebook’s proposal for "co‑improving" AI, which advocates collaborative human‑AI research cycles to achieve safer superintelligence; the hidden costs and complexities of AI labeling policies, illustrated by EU compliance burdens that could hinder effective regulation; and the release of SimWorld, a high‑fidelity Unreal Engine‑5 simulator that lets agents learn via reinforcement learning in rich, language‑steerable environments, aiming to revive the RL approach with more structured, social dynamics. The episode highlights the tension between ambitious safety strategies, practical policy implementation, and new research tools that could shape future AI development.