Generalist GEN-1
No public API/weights; early-access partners only. Successor GEN-1.5 (2026-08-19) adds one-shot learning (see generalist-gen-1-5). Results are company-reported. Video: https://www.youtube.com/watch?v=SY2xyrmV44Y
- Input
- image, video, text
- Output
- action
- License
- proprietary
How to call it
| Provider | Model id | Endpoint / URL | Docs |
|---|---|---|---|
| Generalist AI early-access partners (partnerships@generalistai.com) | — | generalistai.com/blog/gen-1 | — |
Notable capabilities (3)
- FIRST Mastery of simple physical tasks: 99% success on several tasks (GEN-0: 64%), ~3x faster than prior state of the art, ~1 hour of robot data per task; Generalist calls it the first general-purpose model to cross a 'mastery' threshold for simple tasks. source
- Pretrained on 500k+ hours of human wearable data: Pretraining dataset of 500,000+ hours of real-world physical interaction captured with wearable devices on humans (no robot data), spanning many end effectors; later extended to a broad range of end effectors from five-finger hands to special tools. source
- Robotics scaling laws (GEN-0 predecessor): GEN-0 (Nov 2025) showed scaling laws for robot foundation models, with all tracked zero-shot tasks improving together as pretraining scaled. source
Timeline entry
- Generalist GEN-1 claims 99% success on simple robot tasks, trained on 500k+ hours of human wearable data ★★★★
Generalist AI released GEN-1 on 2026-04-02, an embodied foundation model pretrained on 500,000+ hours of real-world physical interaction recorded with wearables on humans (no robot data); it reports 99% success on several tasks (GEN-0: 64%), ~3x the speed of prior state of the art, and ~1 hour of…