近日，ICPC北京总部官网发布任正非与ICPC主席、教练及获奖选手座谈会纪要。 11月14日，任正非在位于上海的华为练秋湖研发中心与ICPC全球优胜者及教练座谈，围绕AI未来、教育本质与青年成长展开对话。他强调"教育是教育，商 业是商业"，并指出人工智能应聚焦未来三至五年的产业应用，推动工业、医疗等领域的实质性进步。面对时代浪潮，他鼓励青年"敢于在质疑中前进"，在开 放合作中推动文明交融与技术共进。 据介绍，国际大学生程序设计竞赛（International Collegiate Programming Contest，简称ICPC）是世界上规模最大、水平最高的国际大学生程序设计竞赛之 一。赛事由各大洲区域赛（Regional Contests）和全球总决赛（World Finals）两个主要阶段组成，每个赛季持续时间约9个月，来自全球6大洲、超过100个国 家和地区的两千余所高校的近五万名大学生参与该项赛事。 以下是座谈会纪要全文： 练秋湖畔贝壳图书馆漫谈——任总与ICPC主席、教练及获奖选手座谈会纪要 2025年11月14日上午 Veronika Soboleva： 大家早上好！首先，非常感谢任总将ICP ...

AI 时代真正的竞争力，来自将技术爆炸转化为社会总体财富增加的系统能力 文/整理｜谢丽容 【编者按】 11 月 14 日，华为公司上海练秋湖园区贝壳图书馆内，华为创始人任正非和 110 多位来自 30 多个国家的 ICPC （国际大学生程序设计竞赛）教练和获奖者进行了一场跨代际、跨文化对话。 ICPC 被誉为计算机领域 的 " 奥林匹克 " ，是全球最具影响力的大学生团队算法竞赛，每年吸引来自百余个国家、数千所高校的顶尖 学子参与。华为是其重要的全球合作伙伴，不仅提供赞助，更通过联合举办挑战赛等方式，搭建起学术理论与 产业应用的桥梁。 在这场交流中，任正非面对这些代表着全球计算机科学未来活力的青年冠军与教练，多维度展示了他对这个世 界过去、现在和未来的诸多观点和判断。包括但不仅限于以下： 1. 人工智能在华为公司地位是重要的，但当前最重要的是 CT ，就是无线电、光通信、核心网、数据通 信……。为什么？将来人工智能的感知与控制，要把数据传到几千公里外，必须要有一个先进的网络。 AI 要 真正产生出价值，需要全社会的协作，发挥各自的优势。没有网络的算力是信息孤岛，孤岛化的 AI 无法实现 真正智能。 2. 每个 ...

智东西12月5日报道，今天，国际大学生程序设计竞赛（ICPC）北京总部发布了华为董事兼CEO任正非 与ICPC主席、教练及获奖选手的座谈会纪要。会上，任正非称，在AI领域，华为着眼的是未来三到五 年，把大模型、大数据、大算力用于解决真正的产业问题，这种实用化的导向，也是他眼中中美两国在 追求人工智能过程中的一大差异。 任正非还透露，AI在华为公司的地位是重要的，但当前最重要的是CT，就是无线电、光通信、核心 网、数据通信等。他认为，没有网络的算力是信息孤岛，孤岛化的AI无法实现真正的智能。 这场座谈会于今年11月14日进行，实录达1.5万字，以下是座谈会的部分核心信息： 1、算力过剩的时代一定会到来的：算力需求可能是非线性的，这会颠覆现有的线性技术推演。 2、中国年轻人已不再羡慕海外高薪：越来越多优秀青年选择自主创业，小团队即可快速崛起。中国青 年的创新公司非常多，三、五年或者五至十年，中国会发生天翻地覆的进步。 3、美国和中国在人工智能的追求方向有所不同：美国探索AGI和ASI，解决人是什么、人类社会的未来 是什么；而中国是在研究解决怎么做事，创造更多的价值，解决发展问题。 4、未来社会对"工人"这一概念将 ...

Core Insights - The discussion emphasizes the importance of youth and their role in shaping the future, particularly in the context of rapid technological changes and the challenges posed by AI [5][6][10] - The company is focused on applying AI and big data in various industries, including agriculture and healthcare, to enhance efficiency and safety [7][8][10] - The conversation highlights the need for educational reform to cultivate talent domestically rather than relying solely on imported expertise [11][12][13] Group 1: AI and Technological Advancements - AI is seen as a transformative force that will significantly impact productivity in the next three to five years, with applications in various sectors such as mining and healthcare [10][26] - The company is exploring the use of AI in optimizing industrial processes, such as improving the efficiency of blast furnaces and automating mining operations [7][8] - The discussion includes the potential of AI in enhancing diagnostic capabilities in healthcare, showcasing successful applications in hospitals [8][10] Group 2: Education and Talent Development - The need for educational institutions to adapt to the demands of the AI era is emphasized, with a focus on teaching practical skills rather than just theoretical knowledge [11][12] - The company supports initiatives that aim to elevate the programming skills of students in underdeveloped regions, promoting a "teach to fish" approach [8][11] - The importance of collaboration between academia and industry is highlighted as essential for fostering innovation and developing a skilled workforce [11][12][13] Group 3: Global Collaboration and Cultural Exchange - The conversation underscores the significance of international collaboration in technology and education, with a call for more engagement with global talent [14][31] - The company expresses a desire to connect with diverse cultures and share knowledge, recognizing the value of different perspectives in driving innovation [14][31] - The role of women in technology is acknowledged, with encouragement for increased participation in STEM fields [28][29]

Core Viewpoint - The article emphasizes the importance of youth in driving innovation and progress in the semiconductor and AI industries, highlighting the need for practical applications of AI rather than mere inventions [3][4][5]. Group 1: Youth and Innovation - Ren Zhengfei believes that the hope of the future lies in the youth, who are seen as role models and contributors to society [3][8]. - He encourages capable young individuals to pursue high-level explorations rather than commercial paths, suggesting that significant advancements in China could occur within the next five to ten years [3][4]. - The current state of Chinese youth is promising, with many capable entrepreneurs emerging [3][4]. Group 2: AI Applications - The focus should be on the application of AI rather than its invention, as practical applications can significantly benefit the economy and society [4][5]. - Huawei's AI initiatives are centered around real-world applications, such as improving efficiency in industrial processes and healthcare diagnostics [5][11]. - Ren Zhengfei provides examples of AI applications in various sectors, including mining, healthcare, and port automation, emphasizing the potential for efficiency gains [10][11]. Group 3: Education and Talent Development - The article discusses the shift in education from a centralized to a decentralized model, enabled by advanced networks, allowing students in remote areas to access quality education [12]. - There is a call for educational institutions to focus on nurturing talent that can drive technological advancements, rather than solely relying on imported talent [14][16]. - Ren Zhengfei highlights the importance of understanding individual career paths and the value of learning from failures as part of personal growth [17]. Group 4: Future of AI and Technology - The future of AI is seen as a collaborative effort that requires advanced networking to realize its full potential [18]. - Ren Zhengfei mentions that while AI is important, the current priority for Huawei remains on core telecommunications technologies that support AI applications [18]. - The company is committed to exploring innovative solutions that can lead to significant advancements in various industries, including agriculture and healthcare [10][11].

Core Insights - Huawei's President Ren Zhengfei emphasized the importance of global talent and the benefits of international collaboration in technology development, particularly highlighting the positive contributions of American technology to global progress [1][2] - The company recognizes the need for China to be more open and to learn from global civilizations, advocating for high-quality products to enhance China's international market presence [2][11] - Ren discussed the role of artificial intelligence (AI) in various industries, including agriculture and healthcare, and the potential for AI to improve efficiency and safety in operations [6][7][10] Group 1 - Ren highlighted the significance of attracting talent and the necessity for China to catch up with the U.S. in technology, while also acknowledging the current opportunities for young people in China [2][11] - The company is focused on applying AI in practical scenarios, such as optimizing industrial processes and enhancing healthcare diagnostics [6][7] - Ren pointed out that the future of AI will involve significant advancements in automation and data utilization across various sectors, including mining and transportation [10][20] Group 2 - The company is committed to fostering a culture of innovation and collaboration, encouraging young talents to pursue their passions and contribute to societal progress [18][19] - Ren emphasized the importance of education in nurturing talent, stating that a strong educational foundation is essential for technological advancement [11][12] - The company aims to bridge the gap between academia and industry, facilitating partnerships that can lead to practical applications of research [11][30]

Core Points - Huawei's President Ren Zhengfei emphasized the importance of youth, talent, and education during a discussion with ICPC representatives, highlighting the role of young people as the hope of the future [1][2][3] - Ren acknowledged Romania's significant contributions to China's industrial development, particularly in oil exploration technology, and expressed a desire to strengthen cooperation with Romania [1][29] - The discussion also focused on the challenges and opportunities presented by artificial intelligence (AI), with Ren noting the need for collaboration between academia and industry to address these challenges [4][9] Group 1: AI and Industry Applications - Ren discussed the application of large models and big data in various industries, such as optimizing iron production and enhancing safety in coal mining through remote operations [5][6] - He highlighted the advancements in healthcare diagnostics using AI models, which improve the capabilities of doctors in remote areas [6] - The conversation included the potential for AI to automate processes in ports and mining, showcasing examples of fully automated operations in Tianjin and Peru [5][6] Group 2: Education and Talent Development - Ren stressed the importance of education in fostering talent, stating that China must focus on creating its own talent rather than solely relying on imports [9][10] - He pointed out the shift from traditional education models to more decentralized, online learning opportunities, which can benefit students in remote areas [7] - The need for collaboration between educational institutions and industries was emphasized, with a focus on practical training and skill development [12][21] Group 3: Future of Work and AI - Ren addressed concerns about job displacement due to AI, suggesting that re-education programs will be necessary to transition workers into new roles [21][22] - He noted that while AI will automate many tasks, it will also create new opportunities and increase overall wealth, necessitating a focus on how to share this wealth equitably [22] - The discussion included the potential for AI to enhance productivity in various sectors, including transportation and healthcare, while also acknowledging the challenges of integrating AI into existing systems [19][20]

Core Viewpoint - The discussion led by Ren Zhengfei emphasizes the differing approaches to artificial intelligence (AI) between the United States and China, highlighting the need for re-education programs to address job displacement caused by automation and the importance of nurturing talent for future technological advancements [1][2][23]. Group 1: AI and Automation - The pursuit of AI in the U.S. focuses on general artificial intelligence (AGI) and superintelligence (ASI), while China aims to solve practical problems and create value through automation [1][23]. - Automation may lead to job losses, but overall national wealth is expected to increase, with examples showing production efficiency rising from 100 to 120 when transitioning to automation [2][24]. - AI-assisted software programming has already reduced the workload of software engineers by approximately 30%, with potential future reductions reaching 60-70% [2][25]. Group 2: Education and Talent Development - Ren suggests implementing re-education programs, such as a voucher system, to help displaced workers transition into new roles, emphasizing the need for vocational training [1][24]. - The shift from traditional education models to online learning has made high-quality education more accessible, allowing students in remote areas to benefit from global resources [8][37]. - The importance of nurturing homegrown talent is highlighted, as reliance on imported talent is not sustainable for technological advancement [11][12]. Group 3: Industry Applications and Innovations - The application of AI in various industries, such as mining and healthcare, is discussed, showcasing how AI can enhance operational efficiency and safety [6][7][10]. - Examples include the use of AI in optimizing iron smelting processes and remote diagnosis in healthcare, demonstrating the practical benefits of AI technology [6][7]. - The company is focused on applying large models and big data in agriculture and industry to improve productivity and safety [6][10]. Group 4: Future Outlook and Challenges - The future of AI and its societal implications are uncertain, with the company focusing on short to medium-term applications while acknowledging the rapid pace of technological change [5][9]. - The need for a stable societal structure during the transition to automation is emphasized, as the benefits of AI must be shared equitably [25][26]. - The company recognizes the potential of quantum computing and its future applications, although it does not currently lead in this area [35].

Core Insights - The discussion emphasizes the transformative impact of advanced networks and artificial intelligence (AI) on education and productivity, highlighting the shift from traditional physical learning environments to online education, which allows students in remote areas to access high-quality resources [1][8][9] - The company views AI as a catalyst for significant productivity improvements, with tangible benefits expected within three to five years [2][9] - The dialogue underscores the importance of nurturing young talent and fostering collaboration between academia and industry to drive innovation and address global challenges [10][12][24] Group 1: Education and Talent Development - The advancement of online education enables students from remote areas to access courses from prestigious universities, thus democratizing education [1][8] - Young students are increasingly demonstrating independent thinking and knowledge acquisition through online resources, challenging traditional educational paradigms [1][8] - The company recognizes the need for educational systems to adapt to the changing landscape, emphasizing the importance of mentorship and guidance in online learning environments [1][8][10] Group 2: Artificial Intelligence and Productivity - AI is seen as a key driver of productivity enhancements across various sectors, with applications in manufacturing, healthcare, and logistics [6][9][33] - The company is focused on leveraging big data and AI models to optimize industrial processes, such as improving efficiency in steel production and mining operations [6][33] - The potential for AI to revolutionize remote diagnostics and healthcare delivery is highlighted, showcasing its role in enhancing medical capabilities in underserved regions [7][9] Group 3: Industry-Academia Collaboration - The dialogue stresses the importance of collaboration between educational institutions and industry to cultivate talent and address technological challenges [10][12][24] - The company supports initiatives that empower young talent, particularly in programming and AI, to ensure they are equipped to tackle future challenges [10][12] - There is a call for educational reforms that focus on practical skills and real-world applications to better prepare students for the evolving job market [10][12][24] Group 4: Future Outlook and Innovation - The company anticipates that advancements in AI and automation will lead to significant changes in workforce dynamics, necessitating re-education and skill development for displaced workers [24][25] - The potential for quantum computing and its implications for AI and encryption technologies is acknowledged, with a focus on future breakthroughs in these areas [34][35] - The company emphasizes the need for continuous innovation and adaptation to maintain competitiveness in a rapidly evolving technological landscape [26][27]

Core Viewpoint - The development of large models for robotics is seen as a key pathway to overcoming traditional control bottlenecks and advancing towards general embodied intelligence [2][4][18]. Group 1: Importance of Large Models in Robotics - Large models can address the fundamental issue of robots lacking physical "common sense" by integrating multimodal information such as vision and touch [4][18]. - The industry consensus is shifting towards the development of "small brain + big brain" systems, indicating a focus on foundational capabilities for robots to be applied in various scenarios like smart manufacturing and home services [18][36]. - The transition from humanoid robots to systems that leverage large models reflects a response to national strategies and societal needs, particularly in addressing labor shortages in service industries [18][36]. Group 2: Limitations of Existing Models - Current mature models, such as large language models, have limitations in directly solving physical operation problems for robots and often exhibit "hallucination" phenomena [4][24]. - While large language models excel in natural language processing, they cannot fully empower robots due to their inability to understand physical world causality, which is crucial for executing tasks in real environments [24][26]. - The challenges faced by robots are more complex than those in autonomous driving, requiring greater generalization and adaptability to diverse and unstructured environments [4][24]. Group 3: Commercialization Pathways - Two primary commercialization pathways are identified: "hardware-first" led by automotive and robotics companies, and "model-first" led by AI companies, each with distinct advantages [5][40]. - Most companies are likely to focus on specific vertical applications, achieving "general/flexible" capabilities, while only a few with full-stack capabilities may define the standards for "embodied intelligence" [5][40][43]. - The market is experiencing a significant increase in investment, with a reported 80% growth in financing events in the first half of 2025 compared to the same period in 2024, indicating heightened interest in the robotics sector [36]. Group 4: Future Trends and Challenges - The robotics industry is expected to evolve towards a model of specialized division of labor, moving away from the current "full-chain self-research" approach [46]. - The gap between market expectations and actual robotic capabilities continues to widen, with increasing demands for robots to perform complex tasks beyond simple automation [37][38]. - The integration of multimodal capabilities is essential for enhancing robots' perception and task execution, as traditional methods struggle to provide comprehensive environmental understanding [27][29].