1.华为：2035年全社会的算力总量将增长10万倍 9月16日，华为举办智能世界2035系列报告发布会，正式发布智能世界2035系列报告，包括《智能世界 2035》和《全球数智化指数2025》报告。报告指出，2035年全社会的算力总量将增长10万倍，计算领域将 突破传统冯• 诺依曼架构的束缚，在计算架构、材料器件、工程工艺、计算范式四大核心层面实现颠覆性创 新，最终催生新型计算的全面兴起。数据将成为推动人工智能发展的"新燃料"，AI存储容量需求将比2025 年增长500倍，占比超过70%，Agentic AI驱动存储范式改变。通信网络的连接对象将从90亿人扩展到9000亿 智能体，实现移动互联网至智能体互联网的跃迁。 要原则，严控个人信息收集范围；三是优化告知方式，保障知情同意；四是强化风险评估，完善防护措 施；五是尊重用户选择，提供替代方案；六是规范个人信息流转，严控第三方合作机构；七是关怀特殊需 求，体现人文温度；八是配合监管检查，主动接受监督。 点评：算力飞跃驱动智能革命，重塑社会生产力格局。 2.刘强东直播炒菜 京东集团创始人、董事局主席刘强东现身"京东品酒会"直播间，重启"用户见面会"，现场烹制宿迁 ...

Group 1 - The rapid development of AI technology marks a new era in the technological revolution, indicating that the creation and application of knowledge are no longer solely human privileges [4] - Current AI applications are primarily focused on AI assistants with question-and-answer capabilities, which are often viewed as "black boxes" [4] - The potential for AI applications in industrial and service sectors remains largely untapped [4] Group 2 - The report "Intelligent World 2035" outlines a vision for AI development, exploring how technological integration will drive the transformation of industrial and service intelligent systems [5] - It highlights the potential applications of AI in various sectors, including healthcare, education, smart homes, smart cities, and business innovation [5] - The report discusses the synergistic effects of AI with other innovative technologies and the social and economic impacts of this transformation [5] Group 3 - Achieving the vision of AI development faces numerous technical challenges beyond general artificial intelligence [7] - The construction of intelligent systems is disrupting traditional systems engineering, requiring a combination of traditional ICT models and data-driven AI technologies [7] - A balance must be achieved between the correctness of system design and resilience during operation, with ongoing updates for continuous evolution [7] Group 4 - The vision presented in the report is broad and ambitious, contrasting with the approaches of tech giants that rely on machine learning and large-scale development [8] - Realizing this vision requires unprecedented technological breakthroughs and global collaboration [8] - The report emphasizes the importance of open ecosystems and international cooperation in advancing technology in the complex and transformative field of AI [9] Group 5 - The report identifies three key opportunities for the future of AI: more effective perception of the world, smarter model algorithms, and more efficient computing chips [11][12][13] - The integration of physical and digital worlds is essential for the evolution of general artificial intelligence (AGI) [11] - The development of new computing paradigms, such as quantum computing and neuromorphic chips, is crucial for achieving significant advancements in AI capabilities [13] Group 6 - The report outlines ten major technological trends that will shape the evolution of intelligent technology and the restructuring of social forms over the next decade [16] - These trends are interconnected and collectively form a complex ecosystem that supports the large-scale, real-time, and reliable interaction and decision-making of intelligent agents [17] - The report emphasizes the need for collaboration between technical experts and industry specialists to address the unique complexities of various sectors [18] Group 7 - The future intelligent world will require a sustainable energy foundation, with intelligent technology integrated into energy network management [18] - The report stresses the importance of ethical guidelines to ensure fairness, transparency, and accountability in AI algorithms [23] - The development of a dynamic regulatory framework for AI is essential to balance innovation and safety [23]