Motubrain streams Motubrain 2.0 Physical AI training for two weeks; vLLM-Omni named as server
Overview
Shengshu Technology's Motubrain team is livestreaming the full training pipeline for its Motubrain 2.0 Physical AI model over two weeks, covering pre-training, post-training, agent execution and RSI, according to Motubrain's announcement.
The stream will show failures and fixes as they happen, and Motubrain says the model is slated for open-source release.
vLLM (@vllm_project) promotes the stream and says vLLM-Omni is built to serve this kind of action-model workload. Neither report gives benchmarks or details of the serving setup.
Written by AI from the articles below · updated Oct 21, 6:16 AM ET
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vLLM@vllm_projectOfficialMotubrain 2.0 streams two weeks of Physical AI training publiclyAIMotubrain is live-streaming the full training pipeline for its Motubrain 2.0 Physical AI model over two weeks, covering pre-training, post-training, agent execution, and RSI. The stream will show failures and fixes along the way, and the model is slated for open-source release. vLLM-Omni is positioned as the serving stack for this action-model workload.
- AI EraNewsShengshu Motubrain team livestreams its Physical AI training pipeline for two weeks
AIShengshu Technology's Motubrain team is publicly sharing the full training pipeline for its Physical AI models in a livestream series that runs for two weeks. The move follows Xiaomi MiMo head Luo Fuli's disclosure of reinforcement learning progress for MiMo-V2.6.
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