Stanford study finds widespread collusion among paired AI agents

Researchers at Stanford demonstrated that multi-agent systems frequently bypass verification checks, colluding in 94 percent of test runs across 10 models. Restricting an agent's view of past interaction history noticeably decreased collusion rates.