Vigorously Promote the Development of Large-scale AI Models in Our Country
(In-depth Study and Implementation of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era · Experts Discuss Volume I of the Selected Economic Works of Xi Jinping)
大力推动我国人工智能大模型发展(深入学习贯彻习近平新时代中国特色社会主义思想·学习《习近平经济文选》第一卷专家谈)
By Tang Jie, a professor in the Department of Computer Science and Technology, Tsinghua University
People’s Daily (May 8, 2025, Page 13)
唐 杰
《人民日报》(2025年05月08日 第 13 版)
http://paper.people.com.cn/rmrb/pc/content/202505/08/content_30071810.html
Translated by Sinocism.com
On April 25, General Secretary Xi Jinping, presiding over the 20th collective study session of the Political Bureau of the 20th CPC Central Committee, emphasized: “Faced with the new situation of rapid evolution in next-generation AI technologies, we must fully leverage the advantages of our new system of nationwide effort, insist on self-reliance and strength, highlight application orientation, and promote China’s AI toward beneficial, safe, and equitable healthy and orderly development.” Artificial intelligence is a strategic technology leading this round of scientific and industrial revolution. Accelerating the development of next-generation AI is an important strategic lever for us to gain the initiative in global technological competition. General Secretary Xi attaches great importance to the development of China’s next-generation AI, and many writings in Volume I of the Selected Economic Works of Xi Jinping provide in-depth discussion on this topic. For example, “Implementing the New Development Philosophy and Building a Modern Economic System” points out: “Promote deep integration of the Internet, big data, AI, and the real economy”; “Developing the Digital Economy, Seizing the High Ground for Future Development” states: “We must promote deep integration of the Internet, big data, and AI with industry, and accelerate cultivation of a batch of ‘specialized, refined, distinctive, and innovative’ enterprises and manufacturing champions”; “Accelerating the Construction of a New Development Pattern and Focusing on High-quality Development” notes: “Promote cluster development of strategic emerging industries, and build a new generation of information technology, AI, biotechnology, new energy, new materials, high-end equipment, green and environmental protection, and other new growth engines”; and so on.
4月25日,习近平总书记在主持二十届中共中央政治局第二十次集体学习时强调:“面对新一代人工智能技术快速演进的新形势,要充分发挥新型举国体制优势,坚持自立自强,突出应用导向,推动我国人工智能朝着有益、安全、公平方向健康有序发展。”人工智能是引领这一轮科技革命和产业变革的战略性技术。加快发展新一代人工智能,是我们赢得全球科技竞争主动权的重要战略抓手。习近平总书记高度重视我国新一代人工智能发展,《习近平经济文选》第一卷中不少著作都对此作出深刻论述。比如,《贯彻新发展理念,建设现代化经济体系》指出:“推动互联网、大数据、人工智能和实体经济深度融合”;《发展数字经济,抢占未来发展制高点》指出:“要推动互联网、大数据、人工智能同产业深度融合,加快培育一批‘专精特新’企业和制造业单项冠军企业”;《加快构建新发展格局,着力推动高质量发展》指出:“推动战略性新兴产业融合集群发展,构建新一代信息技术、人工智能、生物技术、新能源、新材料、高端装备、绿色环保等一批新的增长引擎”;等等。
Large-scale AI models are machine learning models trained on massive datasets using deep learning techniques. They feature large-scale parameters and complex computational architectures, enabling them to understand and generate multimodal content, perform logical reasoning, and solve problems. They are the key technological carriers and new infrastructure driving the development of next-generation AI. Guided by Xi Jinping’s economic thought, we must fully recognize the strategic attributes of large-scale AI models, accelerate innovation in their R&D and application, and provide strong support for China to achieve high-level technological self-reliance and strength, promote high-quality development, and play an active role in global AI development and governance.
人工智能大模型是通过深度学习技术在海量数据上训练出来的、拥有大规模参数和复杂计算结构的机器学习模型,能够理解和生成多模态内容,具有逻辑推理和问题求解能力,是推动新一代人工智能发展的关键技术载体和新型基础设施。我们要以习近平经济思想为指引,充分认识人工智能大模型的战略属性,加快人工智能大模型研发应用创新,为我国实现高水平科技自立自强、推动高质量发展、在全球人工智能发展与治理中发挥积极作用提供有力支撑。
Large-scale AI Models Open a New Stage in AI Development 人工智能大模型开启了人工智能发展的新阶段
General Secretary Xi Jinping stated: “Artificial intelligence is a crucial driving force leading a new round of scientific and technological revolution and industrial transformation. It is profoundly changing how people produce, live, and learn, and is ushering human society into an intelligent era of human–machine collaboration, cross-boundary integration, and co-creation and sharing.” The concept of AI was first proposed in the mid-20th century and was widely understood to refer to intelligence exhibited by machines created by humans, as an extension and expansion of human intelligence. In the latter half of the 20th century, global AI exploration experienced many twists and turns. It was not until the 21st century—driven by mature Internet technologies, advances in computing power and algorithms, and increased data availability—that AI entered a period of rapid development. Especially in recent years, the emergence of large-scale AI models has marked AI’s rise to an epoch-making leading role on the stage of human technology.
习近平总书记指出:“人工智能是引领新一轮科技革命和产业变革的重要驱动力,正深刻改变着人们的生产、生活、学习方式,推动人类社会迎来人机协同、跨界融合、共创分享的智能时代。”人工智能的概念是在20世纪中叶被首次提出的,当时被广泛理解为由人类制造的机器所表现出的智能,是人类智能的延伸和扩展。20世纪下半叶,全球人工智能探索的道路曲折起伏。直到21世纪,随着互联网技术的成熟、算力与算法的进步、数据可用性的提升,人工智能才进入快速发展期。特别是近年来,人工智能大模型的出现,标志着人工智能开始成为人类科技舞台上划时代的主角。
From the perspective of technological evolution, large-scale models have ushered in a new stage of AI development. Continuous advancements in large-scale pretraining, supervised fine-tuning, and human-feedback reinforcement learning—as well as innovations in architectures, algorithms, engineering, and industry applications—have endowed large-scale AI models with strong generality, adaptability, and a trend toward greater efficiency, intelligence, and convenience. This not only drives AI’s leap from “perceptual intelligence” to “cognitive intelligence” but also lays the foundation for achieving artificial general intelligence—intelligent systems capable of efficient learning and generalization, autonomously generating and completing tasks in complex dynamic environments—thus opening a new stage in AI development.
从科技发展进程来看,大模型开启了人工智能发展的新阶段。大规模预训练、有监督微调、人类反馈强化学习等技术的不断演进,架构、算法、工程及行业应用的不断创新,使人工智能大模型展现出强大的通用性、适应性和向更高效、更智能、更便捷方向发展的趋势。这不仅推动人工智能从“感知智能”向“认知智能”跨越,更为实现通用人工智能(指具备高效学习和泛化能力、能够在复杂动态环境中自主产生并完成任务的智能系统)奠定了基础,开启了人工智能发展的新阶段.