We’re going all in on World Models.
Today we’re launching the 1X World Model Lab.
The bet is simple:
You can’t fine-tune your way to AGI.
And you definitely can’t fine-tune your way to robots that can operate in the physical world.
General-purpose humanoids need models that understand space, motion, objects, causality, affordances, physics, and action before they ever see a specific task.
The frontier is not better VLA wrappers.
The frontier is embodied world models.
The 1X World Model Lab will focus on large-scale embodied world model pretraining: building the most generalizable foundation model for humanoid robots from the ground up.
The next frontier in AI requires scaling:
web-scale media egocentric human videos sim dexterous remote operated robot data on-policy NEO data → real-world deployment for robot data collection and RL → abundance of data → physical AI
The robot collects data.
The model gets better.
The robot gets better.
Repeat.
To lead this, we brought in one of the best for the mission:
@_sam_sinha_ , as Head of World Models.
Sam was a founding research scientist at Luma AI and has been at the frontier of scaling multimodal generative video models his whole career.
If you’re the best in the world at large-scale pretraining, video models, robotics, RL, infra, or data — and you want your models to move atoms, not just pixels — join us.
Send background evidence of exceptional ability to:
wmlab@1x.tech
We’re building the model that makes autonomous labor real.
