王兴兴最新发声

Core Insights - The founder of Yushu Technology, Wang Xingxing, discussed the current state of robotics at the 2025 Inclusion Bund Conference, emphasizing that while language models excel in text and image domains, the practical application of AI in robotics is still in its infancy [3][4] - Wang highlighted the challenges in data quality and model capabilities as significant barriers to the advancement of humanoid robots, noting that the focus has traditionally been on data rather than model development [4] Data Challenges - The core issue in data utilization for robotics is the difficulty in defining what constitutes high-quality data, including the types of actions and scenarios that need to be captured [4] - There is a lack of clarity on the scale and types of data required for effective robot training, indicating that the field is still in a developmental phase regarding data standards [4] Model and Hardware Limitations - Despite advancements in hardware, the primary challenge remains the inadequacy of AI models, which struggle to effectively control robotic movements and integrate multimodal inputs such as video and language [4] - Wang expressed optimism about the future of AI models, suggesting that a more aggressive approach to understanding and utilizing these models could lead to significant advancements in robotics [4] Talent and Management Issues - The industry faces a shortage of top-tier talent, which poses a challenge for technological development, alongside management difficulties that can arise as teams grow larger [4]