Guangxiang Technology and Tsinghua unveil Phi-WM 1.0 ActEffect: a world model that trains robots, then exits the stage
Embodied AI startup Guangxiang Technology, with Tsinghua University professor Li Shengbo's research group, has released Phi-WM 1.0 (ActEffect), a physics-native world model used only during training: once training ends it exits the deployment pipeline, so robots act without online future-unrolling. The method posts 98.8 percent on LIBERO and 80.3 percent on LIBERO-PLUS, and the company is pushing it toward automotive welding and inspection stations.
















