专访信通院孙鑫：大模型快速迭代需软硬件深度协同｜四中全会预热

Core Insights - The Chinese government emphasizes the importance of artificial intelligence (AI) and digital technology in promoting high-quality economic development, with a focus on standardization and international openness [1][2] - The development of AI is characterized by trends such as deep hardware-software collaboration, the emergence of intelligent agents, and the influence of open-source models [4][5][6] Group 1: AI Development Trends - Deep hardware-software collaboration is becoming a new paradigm for the development of large models, which is essential for rapid iteration and efficiency [4][5] - Intelligent agents are emerging as the primary form of large model applications, leading to the formation of an intelligent agent economy [5][6] - The acceleration of open-source models is driving the democratization of AI, lowering barriers for application deployment [5][6] Group 2: Industry Application and Penetration - AI's penetration into various industries follows a pattern where sectors with higher digitalization levels adopt AI first, gradually expanding to others [15][16] - Significant applications of AI are observed in industries like finance, healthcare, and transportation, which have established digital foundations [15][16] - The current disparity in AI application depth across industries is a reality, influenced by factors such as digital transformation readiness and resource availability [15][16] Group 3: Future Directions and Challenges - The future of AI development may see breakthroughs in reinforcement learning and the emergence of new model architectures that enhance efficiency and performance [12][13] - Intelligent agents are expected to evolve significantly, with the potential to independently complete complex tasks that currently require human intervention [14] - The coordination between industry levels and transformation routes, as well as between technological capabilities and actual needs, is crucial for advancing AI applications [15][16]