Why are foundation-model companies all moving into embodied AI right now, and how do we break the data scarcity? Roger Jiang: the data goldmine for general-purpose robots lies in 10 billion hours of internet video.
A world model must predict both the next state and the next action — and predicting action matters more. Embodied AI still has to go through scalable pre-training, alignment and deployment.
Ground a short human-motion seed in physics, grow it across terrain variation, and distill locomotion and whole-body skills into one deployable depth policy — running onboard Lightbot 0.