1X turns its video world model into a robot policy for NEO
Confirmed
Status
- Claim
Confirmed
- Our reporting
- High confidence
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
Key facts
- Backbone: 14B generative video model fine-tuned for NEO; ~11 s per rollout (multi-GPU inference with Verda)
- Data: ~900 h egocentric human video + ~70 h NEO data; 400 h unfiltered robot data for the inverse-dynamics model
- Grasping ~80% success; pouring 0%; best-of-8 generation lifted ‘pull tissue’ from 30% to 45%
- Earlier 1XWM (June 2025) was used only to evaluate policies
What happened
1X published a world-model-based policy for its NEO home humanoid. Instead of mapping pixels directly to actions, the model generates a short future video of the task and extracts actions from it. 1X presents this as its path to reducing reliance on teleoperation.
Why it matters
It is one of the first deployments of a large video-generation model as a humanoid control policy, part of the 2026 shift toward learning robot skills from human video. Slow inference and weak dexterous results show the limits.
Sources
4 sources from 3 sites. Numbers match the chips in the text.
4 sources: 2 primary, 2 press
Primary
- 1X: From Video to Action — world model self-learning1x.tech, official
- 1X World Model technical report (PDF)1x.tech, paper
Press
- TechCrunch: Neo humanoid maker 1X releases world modeltechcrunch.com, press
- The Robot Report: 1X launches world model enabling NEO to learn by watching videostherobotreport.com, press
Changes
- Filed
