It's impressive that transformers, diffusion, and human generated data can go so far in robotics. I would have expected simulation would be needed to achieve such results.
My fear is that we see a similar problem with other generative AI in that it gets stuck in loops on complex problems and is unable to correct itself because the training data covers the problem but not the failure modes.
My fear is that we see a similar problem with other generative AI in that it gets stuck in loops on complex problems and is unable to correct itself because the training data covers the problem but not the failure modes.