The leaked Claude Mythos memo reminds us that most discussions of AI risk begin with a simple assumption: that more capable systems are more dangerous. But capability does not determine behavior. The real question is what happens under pressure—when incentives conflict, constraints tighten, and a system must decide whether to proceed or refuse. On that measure, the most dangerous system may not be the one we are building, but the one we already trust.