InternW0: A Foundational Physical World Model for Efficient Real-World Interactions
Physical intelligence requires more than predicting how the world may evolve: predictions must remain actionable as the world continues to change. We introduce InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-frequency processing, and local physical modeling under part
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Physical intelligence requires more than predicting how the world may evolve: predictions must remain actionable as the world continues to change. We introduce InternW0, the first instantiation of the InternW physical world model series from Shanghai AI Laboratory, built around omnimodal interfaces, asynchronous multi-frequency processing, and local physical modeling under part
This work introduces a novel physical world model, InternW0, which addresses the critical challenge of actionable predictions in dynamic environments. Its focus on omnimodal interfaces, asynchronous processing, and efficient inference through KV reuse offers a blueprint for building more capable and responsive AI agents, particularly in robotics and embodied AI.