Interaction Creates Dynamical AI Behavior Absent in Isolation
This episode discusses a paper from George Washington University showing that when two identical AI language models interact, one sending messages to the other, the receiving model enters a behavioral state it never exhibits in isolation. The hosts explain the experiments, the kinetic theory model, and the implications for AI systems communicating without human oversight.