The trick: Self-Marked
A robot that scores 87% at a site it has never seen.
On the scorecard the robot's maker wrote.
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.
Before you read on. Your call?
TRUE, BUT
87% on their own eval
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.
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The trick has a name
We call it Self-Marked: graded by the party that benefits from the grade. You'll see it again. Learn to spot it →
Receipts
- Supports dyna.co:
Dyna-1 passes 46% and Dyna-2 passes 87%
- Context dyna.co:
throughput and reliability the customer site requires
- Refutes explainx.ai:
Every number here is vendor-published and self-evaluated as of August 11, 2026.
- Context interestingengineering.com:
could later be adapted to different platforms with only a few hours of local fine-tuning
Open the Receipts Pack → What each source proves, every figure traced, and what would change our verdict.