The most important result in Dyna-2 is that the human data scaling law in fact implied a scaling law on never-seen robot data: scaling human data for pre-training can predictably improve zero-shot offline evaluation on robot data. In our blog, we also show that this scaling also transfers to on-robot evaluation via post-training on diverse robot embodiments.