Shengshu Technology's Motubrain Team to Live-Stream Full Physical AI Training Pipeline for Half a Month

Shengshu Technology's World Model team officially launched a public live stream of the full Motubrain 2.0 training pipeline on October 21, planned to last half a month. This is a rare case of a domestic team publicly sharing world model training details over such an extended period, covering the complete pipeline from data preparation to model convergence.

World Models are a frontier direction in AI, aiming to enable models to understand the operating principles of the physical world, and represent a key pathway toward embodied intelligence and Physical AI. Shengshu Technology's decision to make the training process public helps advance academic exchange and engineering reproducibility in this field.

Physical AI emphasizes a model's perception, reasoning, and decision-making capabilities in real physical environments, fundamentally distinguishing it from large models operating purely in digital spaces. The Motubrain 2.0 training process may involve technical details such as multimodal data fusion and physical law modeling, offering valuable reference for the industry.

The half-month live stream format is relatively rare, reflecting the team's emphasis on technical transparency. This open approach may accelerate technology diffusion in the world model field, while also placing high demands on the team's technical accumulation and engineering capabilities.

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