This seems like a pretty significant advancement in in-context learning. The model learned out-of-distribution tasks it was never trained on, like making a pancake, after watching a single video demonstration of the task, with no fine tuning. Quoting from the blog: 'We believe the main purpose of pre-training — if not the only one — is to enable, for robotics, the same shift we saw from BERT to GPT-3 (Brown et al., 2020): in-context learning, or the ability to learn immediately from one or…