A robot that scores 87% at a site it has never seen. On the scorecard the robot's maker wrote.
The jump from 46% to 87% is real and impressive. It is also self-graded, on 14 tasks, and the 'no retraining' still needs a few hours of retraining.
"Dyna-2, pre-trained on 1M+ hours of human video, passes 87% of a new customer site's quality bar zero-shot, with no site-specific retraining." [SOURCE ↗]
THE MOVE: SELF-MARKED, graded by the party that benefits from the grade
THE CLAIM. Dyna Robotics says Dyna-2, trained on a million hours of human video, walks into a brand-new customer site and passes 87% of its quality bar with no site-specific retraining, up from 46% for the previous model.
THE CHECK. the numbers come straight from Dyna's own page, self-evaluated, with no independent replication. 'Quality' is not a public benchmark, it is 'the quality, throughput and reliability the customer site requires', a bar Dyna defines. The eval spans about 14 tasks on three robots from one lab.
THE TWIST. the 'no retraining' headline has an asterisk in Dyna's own materials. Adapting to a new robot platform still takes 'a few hours of local fine-tuning'. Zero-shot holds for the one deployment they describe, and quietly does not for the general case they imply.
On August 10, 2026, Dyna Robotics announced Dyna-2, a 'world-action model' pre-trained on more than a million hours of egocentric human video, no robot data in the pre-training. Its headline result: at a new customer site, Dyna-2 passes 87% of the required quality bar with no site-specific retrainin
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