learning for the sake of learning is fake
humanity have some brain poison mindset "oh are you working on X now? i thought you studied thing Y"
any finance, lawyer, programmer, etc learned 98% of skills at their jobs. the only hard part is getting the job. the world is yours
This is the society we need to face. If you read my blog post it is full of errors and not a single word was written by AI. People hallucinating as usually.
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:
[email protected]
We’re building the model that makes autonomous labor real.
if you're ever in doubt whether to apply to that fellowship, that job, or asking someone out.
just know that Aidan Gomez once applied to a Grad role at Google Brain as an undergad, the recruiter missed he was an undergrad and he ended up co-authoring the paper "attention is all you need"
off of a clerical mistake. @aidangomez correct me if i am wrong but i find it truly one of the wildest examples of "you miss 100% of the shots you don't take"
source: an interview of aidan gomez i watched a year back
if you're wondering why this or that feature hasn't been added to Obsidian, remember we only have three full-time developers (and not trying to grow the team)