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Look at what Yue Wang got to work with his students! And the best part is you can also train your robot on these data : ) and there is no VXF involved in this video :-P

I really like this paper.

A stunning level of extreme mobility on the wheeled B2. #unitree youtube.com/watch?v=X2UxtK…

Check this out — they use a sparse MoE with k=2, to allow post-training pruning that reduce inference cost. It is quite clever 👏 Moritz Reuss and Jyo Pari !

Pretty nice paper from Dibya! Can read side by side the R1 report :P

This is really cool.

A distillation of our mental models that we use to think about the systems perspective on training and inference at scale. The most important takeaway - you should be able to describe everything about your model with simple equations, and deeply understand how long it should

My friend did it!

🚀 Introducing our new tech report: Muon is Scalable for LLM Training We found that Muon optimizer can be scaled up using the follow techniques: • Adding weight decay • Carefully adjusting the per-parameter update scale ✨ Highlights: • ~2x computational efficiency vs AdamW

What really excites me about this is that Atlas vector search will become even better, making it easier for a lot of smaller teams.

lol, Jon's visualization does not disappoint : )

The crazy part is that their closed loop evaluation setup models potholes.

So many friends in this video! Gemini robotics looks incredible. Congratulations to the team 🥳

Look at how fast the training is 🔥

Congratulations! Incredible team and incredible traction.

Meet 𝐀𝐌𝐎 — our universal whole‑body controller that unleashes the 𝐟𝐮𝐥𝐥  kinematic workspace of humanoid robots to the physical world. AMO is a single policy trained with RL + Hybrid Mocap & Trajectory‑Opt. Accepted to #RSS2025. Try our open models & more 👉

Take a look at these amazing humanoid results. Our dreams are coming true!

Check out this awesome demo!

It is so cool to see vuer.ai in action

Our crew at 4:30 AM