Core Insights - The 2025 Shenzhen Xiangmi Lake Financial Annual Conference will be held on December 20-21, focusing on promoting a virtuous cycle of technology, industry, and finance in the Guangdong-Hong Kong-Macao Greater Bay Area [1][4] - Li Meng, a member of the National Committee of the Chinese People's Political Consultative Conference and former Vice Minister of Science and Technology, emphasized that computing power is a critical bottleneck for China's AI development and modernization [1][4] Group 1: Three Efficiency Revolutions - The "Three Efficiency Revolutions" driven by engineering and technological breakthroughs include: - Model Efficiency Revolution, which aims to reduce the training and usage costs of large models through technological innovation [3][6] - Computing Power Efficiency Revolution, which enhances resource utilization through new structural technologies like pooling and slicing [3][6] - Data Efficiency Revolution, which seeks to convert China's data scale advantage into an advantage for intelligent agents [3][6] - These three revolutions are fundamentally changing the logic of intelligence in industries such as finance [3][6] Group 2: Current State of Computing Power in China - Despite ranking second globally in total computing power, China faces significant structural issues, with intelligent computing (smart computing) only accounting for 30% of the total computing power [3][6] - Li Meng elevated the issue of computing power to a national strategic level, identifying it as a key development bottleneck [3][6] - The shortcomings in computing power are seen as limitations for China's AI capabilities and modernization efforts, with the computing power efficiency revolution viewed as a technical solution to bridge the substantial gap between supply and demand [3][6]