A key ingredient in training a new world model is the data. In this episode the team walks through how raw video becomes training data for a World Language Action model — what gets thrown away, what gets labelled, and where a human still has to sit in the loop.

It ends where the work actually is right now: scaling the pipeline from terabytes to petabytes without letting label quality quietly collapse along the way.