DYNA-2 (World-Action Model)
Predecessor DYNA-1 (2025) runs in production in hotels, restaurants and laundromats (towel folding etc.). No API or weights; adapts to arms, humanoid prototypes and dexterous hands with hours of local fine-tuning. Figure (Helix 2.5), Generalist (GEN-1) and Dyna all reported human-video scaling in 2026, so 'first' claims overlap. Company-reported.
- Input
- image, video, text
- Output
- video, action
- License
- proprietary
How to call it
| Provider | Model id | Endpoint / URL | Docs |
|---|---|---|---|
| Dyna Robotics (commercial deployments) | — | www.dyna.co/dyna-2 | — |
Notable capabilities (3)
- FIRST Human-to-robot scaling law: Pretrained on 1M+ hours of egocentric human video (~170 years); on-robot normalized score rose from 20% to 53% across 14 tasks as pretraining scaled from 1k to 1M hours. Dyna calls it the first scaling law demonstrated across the embodiment gap. source
- World-action model: One video-diffusion (mixture-of-transformers, flow matching) model that denoises future video and an action chunk jointly or separately; one-step distilled video generation 90x faster than the teacher. source
- Production quality gains: 87% zero-shot customer-quality pass rate at a customer deployment vs 46% for DYNA-1; 1.55x more task completions than DYNA-1; bottle-cap opening learned with 10 minutes of robot data. source
Timeline entry
- Dyna Robotics' DYNA-2 world-action model scales on 1M hours of human video ★★★★
On 2026-08-10 Dyna Robotics unveiled DYNA-2, a world-action model pretrained on over 1 million hours of egocentric human video; it reports a smooth human-to-robot scaling law (on-robot score 20% to 53% across 14 tasks from 1k to 1M hours) and an 87% zero-shot pass rate at a customer site vs 46%…