Motubrain

Exploring Physical AI through continuous real-world evolution.
Modeling the world. Making the future.🤖

[Motubrain @motubrain]

Meet MotuBrain: A World Action Model

A unified brain for real-world action. See the present. Model the world. Act the future.

#MotuBrain #AI #worldmodel

[Motubrain @motubrain]

Agent + World Action Model: tackling new tasks on real robots.
Observe, plan, grasp, navigate, act. When a task fails, use robot feedback to debug, update the code, and test again.
Highlights from Motubrain 2.0’s Agent-stage livestream. Watch it unfold—and join the conversation 👀

[Motubrain @motubrain]

@TikiRose That’s the kind of everyday help we hope robots can provide. Thanks for sharing ❤️

[Motubrain @motubrain]

Beyond pick and place: stacking, handoffs, opening bottles, pouring water.
New scenes. Harder tasks with just a few demos.
Real robot test highlights from pretraining and post-training in the first half of Motubrain 2.0’s livestream.
Training continues. Watch along 🔍

[Motubrain @motubrain]

@maxnncre Definitely😆 opening bottles is just the start. More where that came from 👀 https://t.co/PdDcFeALyv

[Motubrain @motubrain]

Q&A, round two

Why we restarted, what changed, and our post-training priorities: precision, speed, and reliable multi-step execution.
Training is still live. Stay tuned.

[Motubrain @motubrain]

From seeing the world to understanding how it works.

World models could help AI predict what comes next, reason through actions, and learn by interacting.

Thanks to Embodied AI club for Zeyuan Wang, who leads world model execution at ShengShu Technology, to talk about what goes on behind the livestream: the experiments, trade-offs, and lessons learned building Physical AI.

#EmbodiedAI #WorldModel #PhysicalAI #AI #deeptalk

[Motubrain @motubrain]

You asked. We’re answering. 💬

Our first Q&A is here—from how the training livestream works to the technical details.

Got more questions? Drop them below for round two. 👀

More details: https://t.co/PdDcFeALyv

#Motubrain #EmbodiedAI #WorldModels #Robotics #PhysicalAI #QNA

[Motubrain @motubrain]

Glad to have the vLLM-Omni community @vllm_project following the run. We’ll share not only model progress, but also what Physical AI asks of the serving stack: throughput, latency, memory, and the failures in between.
Questions welcome: https://t.co/PyGfEwbVwa

[vLLM @vllm_project]

@motubrain is streaming Motubrain 2.0 for two weeks: pre/post-training, agent execution, RSI, failures and fixes.

Physical AI, built in public. Exactly the kind of action-model workload vLLM-Omni is built to serve. Follow the run.

[Motubrain @motubrain]

⏰ Livestream starts October 20 (PDT)
🔗Livestream: https://t.co/PyGfEwbVwa
🌐Website: https://t.co/eFGmZMLDXg

[Motubrain @motubrain]

Starting today, Motubrain 2.0 is live-streaming the full Physical AI training pipeline, continuously for half a month.
Follow the training, testing, and capability development of this soon-to-be-open-source model.

What you’ll see:
· How do training stages connect and capabilities evolve
· How an agent plans tasks and adjusts its actions based on feedback
· Whether the model can transfer existing capabilities to tasks unseen during training
· Whether AI can achieve self-improvement through RSI exploration

Research rarely follows a straight path.
Join us as we share progress, work through challenges, and discuss what we learn.
We’d love to hear your observations, questions, and ideas along the way.

[Motubrain @motubrain]

⏰ Livestream starts October 20 (PDT)
🔗Livestream: https://t.co/PyGfEwbVwa
🌐Website: https://t.co/eFGmZMLDXg
#Motubrain #PhysicalAI #EmbodiedAI #ArtificialIntelligence #Livestream #WorldModel #OpenSource

[Motubrain @motubrain]

Deploying World Action Models in real time is a systems problem.

Pipeline latency stalls synchronous execution at action-chunk boundaries. Asynchronous inference removes the wait, but consecutive chunks predicted from different observations can disagree in their overlapping region.

With accurate temporal alignment, async+blend serves as a minimal blending baseline. Training-time prefix conditioning requires retraining, but adds no inference-time overhead and achieves the best overall precision-smoothness balance.

The open problem is abrupt environmental change: when an obstacle appears, the prior prefix can become harmful rather than helpful.

Follow Motubrain and stay tuned for more updates!
Blog: https://t.co/jjha5MqdeD
Paper: https://t.co/h8YlNMP7HU
Github: https://t.co/74QH6Y922O

[Motubrain @motubrain]

Friday at Motubrain = work hard, play harder 🚀

Last Friday, we left our desks behind and embarked on a desert survival adventure🏜️

Teams worked together to survive the desert challenge, chase our own little Gold Rush, and compete for the final victory.
The fun continued with Werewolf games, karaoke moments, and plenty of laughs as everyone showed their unexpected talents.

We ended the day with great food and even more laughter.
We build together. We play together. We grow together.
That’s the Motubrain spirit ✨

#TeamBuilding #HappyFriday #Motubrain #WorldModels #WolrdActionModels #EmbodiedAI #AI #Robotics

[Motubrain @motubrain]

Big World, Real Action: World Action Models Take Center Stage at WAIC 2026

Our first time exhibiting at World Artificial Intelligence Conference 2026 and the booth was packed. 🔥
Loved meeting so many developers, partners, and AI folks. The energy was real.

Missed us? We're here for the next few days.
Come hang, got technical questions, collab ideas, or just curious and grab some swag. 👜
Drop by our booth and let's build the future together.
See you at WAIC!

📅 July 17–20
📍 Booth X1B-301, West Bund Convention Center, Shanghai

#WAIC2026 #Motubrain #WorldModels #WolrdActionModels #EmbodiedAI #AI #Robotics

[Motubrain @motubrain]

Join Motubrain and build the future of World Action Models. 🚀
AI is moving beyond understanding the world — the next challenge is acting in it.

We’re hiring researchers and engineers to tackle frontier problems in:
• World action models
• Embodied intelligence
• Large-scale AI systems

Build with us. Push the boundaries of what AI can do.
📩 Open roles in the poster.

#Hiring

[Motubrain @motubrain]

World models aren't just simulated environments. They're a new way to build intelligence. 🌍
Last Saturday, we hosted Motubrain's first closed-door salon on World Models.

Researchers, founders, and builders came together to explore where world models are headed—and what it takes to bring them into the real world.
Great conversations. Sharp questions. Fresh perspectives.
Huge thanks to all our speakers, guests, and partners for making it happen. 🙌

We're just getting started.
Stay tuned. ✨

#Salon

[Motubrain @motubrain]

🏆 ShengShu Technology’s World Action Model, #MotuBrain, just won the BEYOND Awards 2026 Innovation Award! @beyondtechexpo
Chosen from 800+ global projects, validating a true paradigm shift in #EmbodiedAI. 🌍🚀
By unifying world-understanding and action-execution, we're breaking the silos of perception, planning, and execution. 🧠

⚡️ Core capabilities:
▪️ One Brain. Many Skills. True multitasking & extended generalization.
▪️ One Brain. Any Robot. Hardware agnostic for endless embodiments.
▪️ One Brain. Directly Long-Horizon. Complex task chains in one continuous flow.
▪️ One Brain. Foresight. Anticipating dynamic environmental changes.

Accelerating real-world deployments with global robotics partners.
The era of Physical AI is here! 🤝🔗

#BEYONDExpo2026 #TechInnovation #EmpoweringAsia #BridgingTheWorld #FutureOfTech #WorldModel