Zhiyuan's Peng Zhihui responds to GPT-6 Astra: the stronger the large model, the more important the robot body
At Zhiyuan's fourth Innovation Day, co-founder Peng Zhihui (Zhihui Jun) responded to the question raised by GPT-6 Astra's ability to directly control robots, arguing that regardless of whether foundation models can handle embodied capabilities across the board, body manufacturers that can scale, keep costs low, and achieve high consistency will be more advantaged. He cited data showing Zhiyuan shipped more than 5,000 units in 2025 and 9,700 units in the first half of 2026, and said that networked post-training with 100 real machines can raise task success rates from about 50% to 98%. Zhiyuan also proposed using Worken to measure a robot's effective intelligent work hours, and pointed out that the human-to-machine ratio in operations and maintenance is a key bottleneck for scaling.
At Zhiyuan's fourth Innovation Day, co-founder Peng Zhihui (Zhihui Jun) responded to the question raised by GPT-6 Astra's ability to directly control robots, arguing that regardless of whether foundation models can handle embodied capabilities across the board, body manufacturers that can scale, keep costs low, and achieve high consistency will be more advantaged. He cited data showing Zhiyuan shipped more than 5,000 units in 2025 and 9,700 units in the first half of 2026, and said that networke
Matched fieldsBody


