At the 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference held in Hangzhou on Thursday, Unitree Technology Chairman, General Manager and CTO Wang Xingxing said the central hurdle for embodied AI to reach its own “ChatGPT moment” is aligning AI model inputs and outputs with real-world robots. He said that, for top large-model companies, model self-evolution has in some sense already been largely achieved internally, with models able to write code and collect data on their own while humans mainly provide guidance and take part where needed. Wang also said it usually takes five to 10 years for a technical breakthrough to spread to broad public use, which is why the outside world may not feel the change so strongly yet. Even so, he added that physical AI is already showing early signs of a breakthrough.
The 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference was held in Hangzhou on Thursday. In a keynote speech, Wang Xingxing, chairman, general manager and chief technology officer of robotics company Unitree Technology, said the core challenge for embodied AI to pass its “ChatGPT moment” is aligning the input and output of AI models with real robots.
Wang said that, for top large-model companies, model self-evolution has, in a sense, already been largely achieved internally. He said models can write code and collect data by themselves, while people only need to provide appropriate guidance and participation.
He also said that it usually takes five to 10 years for a technological breakthrough to spread to everyday use by the public, which is why the change is not yet deeply felt outside the industry. At the same time, he said physical AI is already showing signs of being broken through.
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