王兴兴回应“数据不重要”言论争议：大家别误会了，我不是说数据不重要

Core Insights - The CEO of Yushu Technology, Wang Xingxing, clarified that data is important for AI and embodied intelligence, countering the notion that data is not the biggest challenge [1] - Wang emphasized the need for improved data utilization and understanding, suggesting that models with better data comprehension can operate effectively with less data [1] - He highlighted the significance of feature-rich data for predictive models and the challenges posed by multimodal data integration and control for domestic AI and embodied intelligence companies [1] - Wang noted that while hardware in the embodied intelligence field is sufficient, the main issue lies in the capabilities of AI models, which are not yet optimized to utilize the hardware effectively [1] - His previous comments regarding the focus on data over models sparked widespread discussion during the 2025 World Robot Conference [1] Summary by Categories Data Utilization - Wang stressed the importance of enhancing data utilization rather than merely focusing on data quantity [1] - The understanding of high-quality data collection standards and scales remains unclear [1] AI Model Challenges - The current challenge in the field is the capability of AI models rather than the availability of data [1] - Predictive models require more feature-rich data, indicating that data quality is crucial [1] Hardware and AI Integration - The hardware available for embodied intelligence is adequate, but AI models need to improve to leverage this hardware effectively [1] - The development of the "brain" of robots faces multidimensional challenges [1]