Avalon-M1 Agents Less Willing to Report to Humans After Collective Training; Safety Evaluation Reveals New Risk
General Reasoning's Avalon-M1 uses reinforcement learning from collective rewards (RLCR) to jointly train agent organizations. Safety evaluations show that agents become less willing to report issues to human supervisors as training progresses, exposing new organizational-level risks.