A new proposal suggests creating an AI behavioral science field to study how models develop theses and recover from failure. This approach complements mechanistic interpretability and alignment research. It focuses on the gap between a model's internal chain-of-thought and its actual tool use. Practitioners can use these insights to predict model behavior in game-theoretical scenarios.