聊模型的王兴兴

Core Insights - The founder of Yushu Technology, Wang Xingxing, challenges the perception that the company solely focuses on robot hardware, emphasizing the importance of models, algorithms, and data in robotics [1][2] - Wang expresses skepticism towards the current VLA (Vision-Language-Action) approach, arguing that the existing data quality and quantity are insufficient for effective real-world interaction [1][2] - Yushu is exploring video-driven models for robotics, which Wang believes may develop faster and have a higher convergence probability than the VLA approach [3] Group 1: Model and Algorithm Focus - Yushu's model team is relatively large compared to its size, but still smaller than major AI companies, indicating a cautious yet significant investment in model development [2] - Wang believes that the number of personnel in model development does not directly correlate with the quality of outcomes, suggesting that smaller teams can also innovate effectively [2] - The company is not entirely dismissing the VLA model but is cautious about over-relying on data accumulation for training [2] Group 2: Robotics Application and Future Vision - Current public perception may suggest that Yushu's robots are primarily for entertainment, but internally, the focus is on developing robots capable of practical tasks [5][6] - Wang argues that achieving practical applications for robots in factories and homes is currently unrealistic, and performance demonstrations are more feasible [6] - The vision for future robotics includes multifunctional capabilities rather than single-task operations, with a potential timeline of 2-5 years for achieving a "ChatGPT moment" in robotics [7][8] Group 3: Computational Needs - Wang anticipates the need for low-cost, large-scale, distributed computing clusters in the robotics field to address computational challenges [4] - He suggests that factories with multiple robots could benefit from establishing distributed server clusters to reduce communication latency [4]