Identical training behaviors can stem from radically different motivations, leading to divergent deployment outcomes. This update to the behavioral selection model clarifies the machinery used to predict AI motivations. While useful for short-term predictions, the author admits the framework misses critical dynamics. Practitioners must disambiguate these motivations to avoid deployment failures.