Two and a half weeks ago Dyna Robotics published that their model is actually working, and now they are lifting the curtains on some of their deployments. Dyna-2 is a world-action model pre-trained on 1 million hours of first-person human video, which equates to training on about 170 years of hands. They unlocked transfer. With the same checkpoints, scored on robot data the model never saw, zero fine-tuning, their scaling curve holds. They hit a human-to-robot scaling law. Somewhere between 10k and 100k hours, the embodiment gap starts closing on its own. At a customer site neither has seen, Dyna-1 passes 46%. With Dyna-2 scaling successfully, it passes 87%, enabling Dyna to finally start scaling their deployments. Din Tai Fung, one of the highest revenue-per-location chains in the US, is rolling Dyna robots across its network, with hundreds of robots by H1 2027.