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Motubrain streams Motubrain 2.0 Physical AI training for two weeks; vLLM-Omni named as server

2 articles2 sourcessince Oct 21Last article 2h ago ·

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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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The articles in this story. Times are ET.

Oct 21
  1. vLLMOfficial
    Motubrain 2.0 streams two weeks of Physical AI training publicly

    AIMotubrain 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.

  2. AI EraNews
    Shengshu 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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