At the first 2026 Physical AI and World Models Conference in Nanjing on October 20, Qianjue Technology founder Gao Haichuan released Polibrain, a predictive world model positioned as an embodied-intelligence brain for the real physical world. Rather than generating future frames or reconstructing visual detail, Polibrain predicts task-relevant state changes in a latent representation space, built on the company's polynomial representation architecture and a counterfactual-inference causal memory mechanism, with a loosely coupled design that separates reusable environment understanding from body-specific execution. Qianjue says Polibrain has been adapted to nearly 50 robot configurations, including industrial arms, wheeled bases, dexterous hands and bipedal humanoids, and is being validated in service, logistics, retail and home scenarios; QbitAI reports adaptation work across humanoid, wheeled, single-arm and dual-arm forms and notes that closed-loop reliability in complex scenes still needs fuller real-world test data.