Is AI Reasoning Right for the Wrong Reasons?
Assistant Professor Pavel Izmailov, who also works with Anthropic's reasoning model team, told Quanta he doubts that the training methods used for large reasoning models actually incentivize them to produce faithful chains of thought: "I would say the chances are not very high." The piece surveys a broader scientific debate over whether AI reasoning models arrive at correct answers for the right reasons.