A new approach called Anchored Bipolicy Self-Play enhances AI safety by training distinct attacker and defender models, improving robustness and efficiency compared to traditional self-play methods. This innovation shows up to 100x greater parameter efficiency and consistent safety improvements, indicating a significant advancement in AI safety protocols.