黄仁勋：下一个浪潮是“物理型人工智能”

Core Viewpoint - The discussion highlights the transformative impact of artificial intelligence (AI) on society, scientific discovery, and the future of chip technology, emphasizing the importance of foundational knowledge for the younger generation in adapting to the AI era [3][5][9]. Group 1: AI Development and Trends - AI is evolving from "perceptual AI" to "generative AI," with capabilities now extending to understanding and generating information across different modalities [5]. - The next wave of AI development is expected to penetrate the physical world, leading to advancements in robotics and other physical machines [5]. - Huang emphasized the significance of "reasoning AI," which can understand and solve complex problems previously unencountered [5]. Group 2: China's Role in AI - Huang noted that China leads the world in the number of research papers published in AI, showcasing its significant contributions to open-source projects [6]. - Open-source models developed in China, such as DeepSeek and Tongyi Qianwen, are recognized as top-tier globally, benefiting various sectors including healthcare and finance [6]. Group 3: AI's Impact on Scientific Discovery - AI is poised to revolutionize scientific discovery by aiding in the understanding of biological structures and processes, which could lead to breakthroughs in drug design and longevity [7]. - Huang highlighted the potential of AI to interpret complex biological data, which could unlock significant opportunities in medicine [7]. Group 4: Future of Chip Technology - Huang discussed the future of chip technology, predicting a shift towards three-dimensional transistors and advanced packaging techniques, such as "CoWoS" [7]. - Innovations in silicon photonics are also anticipated, indicating a promising future for chip development [7]. Group 5: Advice for the Younger Generation - Huang advised young people to focus on mastering foundational skills such as mathematics, reasoning, logic, and programming to effectively engage with AI [9]. - He stressed the importance of critical thinking to evaluate AI-generated answers and to articulate problems clearly when interacting with AI [9].