The dominant narrative about AI reliability is simple: models hallucinate. Therefore, for companies to get the most utility from them, models must improve. More parameters. Better training data. More reinforcement learning. More alignment. And yet, even as frontier models grow more capable, the reliability debate refuses to go away. Enterprise leaders still hesitate to allow...