True, but the problem is that they never know. They don't interact with the real world and have no way of verifying their training data's accuracy. Perhaps they could assign a confidence level to their response? But then, if they assign a response a high confidence level and produce an incorrect answer, it will compound their failure. Not only were they wrong, but they vouched for their wrong answer.