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Dyna Robotics has transitioned its Dyna-2 world-action model into a physical agent capable of sustained, whole-body autonomy for multi-hour workflows. The system leverages massive-scale human video pre-training to achieve high success rates in complex tasks like continuous napkin folding, demonstrating a viable path toward general-purpose robotics. This marks a significant shift from isolated demos to reliable, long-horizon operation in real-world production environments.
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Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics

Latent Space69 min read

Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI

Watch along AIE NYC and join us at AIE CODE in SF next month! This episode includes a live demo of the Taku robot that is best enjoyed on YouTube. Last month, Dyna made waves by announcing Dyna-2, a world-action model pre-trained on one million hours of human video, claiming several new scaling laws on human data across four orders of magnitude. They have now followed up the model with a physical robot agent, Dyna-2.1, that has to be seen to be believed: We are releasing Dyna-2.1, the first Physical Agent that achieves reliable super long-horizon whole-body autonomy. It combines our brand-new semi-humanoid hardware with an agentic system built around Dyna-2 to handle ultra-long real-world workflows. Here is an uncut footage of … 4:24 PM · Sep 29, 2026 · 3.12M Views 122 Replies · 386 Reposts · 4.72K Likes In his talk at AIE this year, Jason talked about how the real challenge for robotics in the real world is reliable, long-horizon autonomy, and how Dyna got its models to a 99.4% success rate folding restaurant napkins for 24 hours straight, including recovering after it pulled over the whole stack. From training a world-action model on over one million…

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