李想与马斯克都认为AI是工程不是科学

Core Viewpoint - The article emphasizes the distinction between AI as engineering rather than science, supported by insights from industry leaders like Li Xiang and Elon Musk, who argue that the future of AI development will predominantly focus on engineering applications rather than theoretical exploration [2][3][4]. Group 1: Perspectives on AI - Li Xiang believes that AI is fundamentally engineering, not science, and emphasizes the importance of structural questions in engineering [2][3]. - Elon Musk echoes this sentiment, stating that the majority of future work in AI will be engineering, with a focus on practical applications rather than new theoretical algorithms [3]. - Both leaders prefer the term "engineer" over other descriptors, highlighting their commitment to practical engineering solutions in AI development [3]. Group 2: Hardware and Competitive Advantage - The article discusses the significance of hardware capabilities in determining leadership in the AI space, with a focus on which company can expand hardware capabilities the fastest [5]. - Li Xiang and Musk both acknowledge that Chinese companies have a clear advantage in hardware-related fields compared to their American counterparts [5][6]. - Musk identifies potential bottlenecks in power supply and chip production, emphasizing the need for scalable solutions in electricity and computational power [5][6]. Group 3: Future Directions and Challenges - Musk proposes that space-based solar power could significantly enhance scalability for electricity and computational power, citing its efficiency compared to ground-based systems [6]. - The article notes that while Musk faces significant challenges in production capacity, Li Xiang has managed to achieve similar or better results with comparatively less effort [6][7]. - The future competitive landscape will revolve around the integration of AI with hardware engineering, with a clear indication that scientific research is not the primary focus [6][7].