Large language models like GPT-3 and GPT-4 are trained on 'all the digital content in the world' and can discuss any topic—quantum mechanics, history, recipes—with impressive fluency, but this does not mean they are doing reasoning; they excel at tasks with abundant training data where low-stakes errors are tolerable, not at real-world embodied tasks like robotics.