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Unitree's Wang Xingxing Exposes Industry Illusion: No Matter How Powerful a Large Model Is, It's Useless If It Can't Align with a Real Robot
OFweek Robotics
On October 22, the 2026 World Physical AI Conference and Unitree Partner Ecosystem Conference was held in Hangzhou. In his keynote speech, Unitree's Wang Xingxing judged that for embodied intelligence to pass the ChatGPT moment, the core challenge is not whether the model is smart enough, but the alignment between the input and output of AI models and real robots.
Part of the event: Wang Xingxing Says Unitree G1 Has Rolled Off the Line About 10,000–20,000 Units; Physical AI May Break Through in One to Three Years
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