Unitree Technology's Wang Xingxing: Aligning AI model inputs and outputs with real robots is the core challenge for embodied intelligence to pass the ChatGPT moment
Wang Xingxing, Chairman and CTO of Unitree Technology, said at the 2026 World Physical AI Conference that the core challenge for embodied intelligence to pass the ChatGPT moment is achieving alignment between the inputs and outputs of AI models and real robots. He believes that top large-model companies have basically achieved model self-evolution internally, with models able to write programs and collect data on their own while humans only need to provide appropriate guidance; however, it will take 5–10 years for technological breakthroughs to spread to everyone's use, and physical AI has already shown signs of being broken through.
Body · AI translation
According to Securities Times, on October 22, the 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference was held in Hangzhou. Wang Xingxing, Chairman, General Manager and Chief Technology Officer of Unitree Technology, said in his keynote speech at the conference that for top large-model companies, in a sense, they have basically achieved self-evolution of models internally. The models write programs and collect data themselves, and humans only need to appropriately guide and participate. But why is everyone's feeling not so profound? Because it takes 5–10 years from a technological breakthrough to its diffusion to everyone's use. Physical AI has now shown signs of being broken through. The core challenge for embodied intelligence to pass the ChatGPT moment is the alignment between the input and output of AI models and real robots.