任正非的“时间哲学”：华为为何只盯未来三五年？

Core Viewpoint - Ren Zhengfei emphasizes that the era of surplus computing power will arrive, countering the common belief of limited resources in AI development [5][6]. Group 1: AI Development Perspective - Ren categorizes AI development into three time dimensions, focusing Huawei's efforts on the next 3-5 years rather than long-term speculative advancements [3][12]. - The company aims to apply large models, big data, and computing power to enhance productivity in agriculture and technology sectors [3][12]. - Specific applications include optimizing blast furnace temperature control to improve iron-making efficiency by 1% and enhancing coal washing precision by 0.1% [3][9]. Group 2: Industry Applications - In the medical field, AI models are already in use, such as those at Ruijin Hospital and Sun Yat-sen University, which enhance diagnostic capabilities [4]. - The mining sector has achieved unmanned operations at depths of 500-700 meters, utilizing data to create real-time video of underground conditions [9]. - Ports like Tianjin have implemented fully automated operations for container handling and customs clearance, showcasing the practical benefits of AI in traditional industries [9]. Group 3: Education and Talent Development - Ren highlights the distinct roles of academia and industry, advocating for schools to focus on original research while companies should translate theories into practical applications [10]. - He notes that the internet is transforming education, allowing remote areas to access high-quality learning resources [10]. - The company recognizes the importance of global talent mobility, viewing the growth of talent in the U.S. as beneficial for global technological advancement [10]. Group 4: Open vs. Closed Technology Environment - Ren expresses a pragmatic view on technology sanctions, acknowledging that many Chinese companies are not restricted and can still utilize U.S. technologies [11]. - He advocates for greater openness in China's technological landscape, emphasizing the need for quality in development and the importance of learning from global advancements [11]. - The company is aware of its technological gaps and is exploring innovative methods to compensate for these deficiencies [11].