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1X World Model Scaling Evaluation for Robots

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1X

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382,309 görüntüleme • 11 ay önce •via X (Twitter)

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1X profil fotoğrafı
1X11 ay önce

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dar profil fotoğrafı
dar11 ay önce

THE MATRIX IS REAL! EVALUATING ROBOT MODELS WORKS!!! BIRDS ARE NOT FAKE?? SCALING LAWS ARE PROVEN!!!!!😩

TestingCatalog News 🗞 profil fotoğrafı
TestingCatalog News 🗞11 ay önce

Brilliant 🤖🤖🤖

frishtik de AI weirdo profil fotoğrafı
frishtik de AI weirdo11 ay önce

do yall live in the woods what’s up

1X profil fotoğrafı
1X11 ay önce

The artsy fartsy guys keep taking the engineers into the woods... Working on resolving this internally

Daniel Ho profil fotoğrafı
Daniel Ho11 ay önce

📺

Humanoids daily profil fotoğrafı
Humanoids daily11 ay önce

An interesting insight from the video: the finding that the most valuable data for scaling the world model comes from NEO autonomously interacting with real environments—"succeeding and failing in interesting and diverse ways". The robot itself is the data engine.

DeBarra Shaw profil fotoğrafı
DeBarra Shaw11 ay önce

Impressive design and visionary approach. Can’t wait to see more!

Ted Xiao profil fotoğrafı
Ted Xiao11 ay önce

Scalable and predictive evaluation is one of the biggest bottlenecks in robotics, congrats @itsdanielho and the whole 1X team!

✧Heavens✧ profil fotoğrafı
✧Heavens✧11 ay önce

Beautiful! This is a game-changer, bridging reality and simulation to rapidly accelerate the evaluation of generalist robots, it's one of the most important aspects of the process. Seems like NEO will be one of the first commercially available robots for house use, looking forward to it, the future is bright. 👀✨

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Every home is different. That means that to build a useful home robot, we must be able to perform zero-shot generalization on a wide range of tasks. Humanoid company 1X has a solution: world models. 1X Director of Evaluations Daniel Ho joins us on RoboPapers to talk about: - why world models are the future for scaling robot learning - how to use world models for robot control - what world models unlock for evaluating robot model performance - how we can hill-climb from here to general purpose robots Watch Episode #61 of RoboPapers, with Michael Cho - Rbt/Acc and Chris Paxton, now!
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Every home is different. That means that to build a useful home robot, we must be able to perform zero-shot generalization on a wide range of tasks. Humanoid company 1X has a solution: world models. 1X Director of Evaluations Daniel Ho joins us on RoboPapers to talk about: - why world models are the future for scaling robot learning - how to use world models for robot control - what world models unlock for evaluating robot model performance - how we can hill-climb from here to general purpose robots Watch Episode #61 of RoboPapers, with Michael Cho - Rbt/Acc and Chris Paxton, now!

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.Eric Jang is spearheading AI at 1X. Eric believes 1X is on the path to becoming an AGI company — not just a robotics company. I sat down with him at 1X’s new Palo Alto office to discuss the key AI building blocks needed to bring humanoid robots into homes at scale. 00:00 Eric Jang joins Humanoid Hub 00:27 Move to Palo Alto 01:02 Why 1X targets the home 02:01 The AGI company 02:49 Redwood AI overview 04:01 Unified control, modular stack 06:07 Data labeling at scale 07:10 RL mobility update for NEO 10:03 GPU and onboard compute 11:09 World model explained 13:34 Trusting world models for evaluation 15:05 Synthetic data generation 16:30 A world model Turing Test 17:41 RL in manipulation 20:08 Lessons from early NEO deployments 21:00 Full autonomy 22:18 1X’s unique edge in AI 24:02 Eric asks Devang a question
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Come hang out with us & Model Y for 30 mins Full drive in 1x speed below
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