A new analysis on the AI Alignment Forum challenges the assumption that developers prioritize safety based solely on marginal cost efficiency. The author argues that the standard safety-usefulness tradeoff model oversimplifies how developers choose risk-mitigation actions. This critique forces researchers to identify alternative decision-making frameworks to better predict and reduce AI risks.