Aligned Alone, Misaligned Together: Forecasting Adversarial Capture in LLM Agent Populations

AI safety evaluations typically assess models one at a time. But language-model agents increasingly operate in populations, where they read and respond to one another's decisions. A model that makes reliable decisions on its own may behave differently when surrounded by other agents. Can individuall