宇树王兴兴呼吁业界，不要盲目堆砌数据与模型规模

Core Viewpoint - The core issue in the development of large-scale AI models is the need for improvements in both model architecture and data quality, which should be addressed in a coordinated manner [1] Group 1: Model Architecture - Current model structures lack sufficient generalization capabilities, indicating a need for structural innovation [1] - The industry is urged to focus on innovative model designs rather than merely increasing model size [1] Group 2: Data Quality - The collection and evaluation of large-scale, high-quality data remain significant bottlenecks in the industry [1] - There is a call for the industry to invest more rational thought into data quality rather than just accumulating vast amounts of data [1]