专访清华大学智能产业研究院院长张亚勤：未来十年，将是人类与智能共同成长的协作时代

Core Insights - The article discusses the transformative impact of AI, highlighting its evolution from "passive learning" to "active generation" and the emergence of AI as a new driving force in various industries [1][2][3] AI Development Trends - AI is currently at a critical juncture, characterized by the "emergent effect," where increased data, computational power, and new algorithms lead to significant advancements in AI capabilities [2] - The integration of AI into industries is accelerating, with sectors like robotics, education, and healthcare experiencing substantial changes due to AI technologies [3] Industry Applications - The demand for AI models and agents is particularly high in robotics and traditional industries such as education and healthcare, where AI can significantly enhance processes like drug development [3] - AI infrastructure, including chips, data centers, and cloud computing, is rapidly evolving, although there are concerns about potential bubbles in investment due to the fast pace of development [3][5] Future Outlook - The next decade is seen as a critical window for the integration of information intelligence and physical intelligence, with current challenges including the need for better data from the physical world and improved reasoning capabilities [5][6] - The global landscape for AI models is expected to be dominated by a limited number of general models, while more opportunities may arise from vertical or industry-specific models [5] AI Safety and Governance - As AI capabilities grow, so do the associated risks, including the potential for misuse and the spread of misinformation generated by AI [6][7] - The article emphasizes the need for policies and regulations to establish boundaries for AI applications, addressing concerns about the proliferation of false information and its implications for future AI governance [6][7]