凤凰网科技讯 9月17日，马斯克在X发文表示，我现在认为xAI有机会通过Grok 5达到AGI。以前从未想 到这一点。早些时候，马斯克表示Grok 5模型将在几周后开始训练。 ...

IT之家注意到，马斯克上个月就曾表示，他认为 Grok 5 有机会成为真正的 AGI，以前从未对任何事有 过这样的感觉。他还称，Grok 5 将在今年年底前推出。 马斯克还表示，"我现在认为 xAI 有机会通过 Grok 5 实现 AGI，以前从未想过这一点。" IT之家 9 月 17 日消息，马斯克今日在 X 平台表示，Grok 5 模型将在几周后开始训练。 ...

I now think @xAI has a chance of reaching AGI with @Grok 5. Never thought that before.X Freeze (@amXFreeze):Grok 4 just smashed the AGI benchmarks, achieving even higher score than its previous high with open program synthesisNo other model even comes close and has not passed Grok 4 previous raw performanceCurrently Grok is more closer to AGI than any other AI models https://t.co/o2PDTET44u ...

记者丨杨乔羽 编辑丨叶映橙 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。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。到2035 年，人工智能将助力预防超过 80% 的慢性病，超过90%的中国家庭将拥有智能机器人，人工智能 应用率超过85%，AI 提升劳动生产率60%。 报告指出通往智能世界2035的十大技术趋势，具体如下： 趋势一： AGI将是未来十年最具变革性的驱动力量，但仍需克服诸多核心挑战，方能实现 AGI奇点突破。因此，走向物理世界是AGI形成的必由之路。 趋势二： 随着大模型的发展，AI智能体将从执行工具演进为决策伙伴，驱动产业革命。 趋势五： 手机App正从独立的功能实体，转变为由AI智能体驱动的服务节点。用户只需给出 指令，AI智能体将调用相关服务节点，为用 ...

Group 1 - Huawei held the "Exploring the Unknown, Leaping into the Future" keynote speech on September 16, officially releasing the "Intelligent World 2035" series reports, which include the "Intelligent World 2035" and "Global Digital Intelligence Index 2025" reports, forecasting key technological trends for the next decade and their impacts on various industries such as education, healthcare, finance, manufacturing, and energy [1] - The first trend indicates that AGI will be the most transformative driving force in the next decade, but several core challenges must be overcome to achieve the AGI singularity, with a necessary path towards the physical world [1] Group 2 - The second trend highlights that as large models develop, AI agents will evolve from execution tools to decision-making partners, driving an industrial revolution [2] - The third trend points to a transformation in development models, where human-AI collaborative programming becomes mainstream, allowing humans to focus on top-level design and innovative thinking while delegating tedious coding tasks to efficient AI [2] - The fourth trend notes a shift in interaction methods from graphical interfaces to natural language, evolving towards multi-modal interactions that integrate human senses, providing users with immersive experiences [2] Group 3 - The fifth trend states that mobile apps are transitioning from independent functional entities to AI-driven service nodes, where users can simply give commands, and AI agents will invoke relevant service nodes for an optimal experience [2] - The sixth trend anticipates that with breakthroughs in key technologies like world models, new L4+ autonomous vehicles will enter daily life, becoming a "mobile third space" [2] - The seventh trend predicts that by 2035, the total computing power of society will increase by 100,000 times, breaking free from traditional von Neumann architecture constraints and achieving disruptive innovations across four core areas: computing architecture, material devices, engineering processes, and computing paradigms [2] Group 4 - The eighth trend emphasizes that data will become the "new fuel" driving AI development, with AI storage capacity demands expected to grow 500 times by 2025, accounting for over 70% of total storage needs, leading to changes in storage paradigms driven by Agentic AI [2] - The ninth trend indicates that the number of connected objects in communication networks will expand from 9 billion people to 900 billion intelligent agents, marking a transition from mobile internet to intelligent agent internet [3] - The tenth trend highlights that energy will become a core constraint on the rapid development of AI, with renewable energy expected to accelerate the replacement of traditional fossil fuels, surpassing 50% of total power generation by 2035, while AI will play a central role in managing new energy systems through token management of watts for real-time energy management [3]

9月16日，华为举办智能世界2035系列报告发布会。 华为常务董事汪涛发表了"探索未知，跃见未来"的主题演讲，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》报告两大研究成果，展望了未来十年的关键技术趋势以及这些技术对 教育、医疗、金融、制造、电力等行业带来的改变和影响，并帮助全球各国量化数智化发展进程。 趋势一： AGI将是未来十年最具变革性的驱动力量 ，但仍需克服诸多核心挑战，方能实现AGI奇点突破。因 此，走向物理世界是AGI形成的必由之路。 趋势二： 随着大模型的发展，AI智能体将从执行工具演进为决策伙伴，驱动产业革命。 趋势三： 开发模式迎来变革， 人机协同编程成为主流 。人类将更专注于顶层设计和创新思考，而把繁琐的编 码执行工作，交给高效的AI来完成。 趋势四： 交互方式正从图形界面转向自然语言，并向着融合人类五感的多模态交互演进。用户通过语音、手 势等方式与数字世界互动，获得深度沉浸的体验。 趋势五： 手机App正从独立的功能实体，转变为由AI智能体驱动的服务节点。用户只需给出指令，AI智能体 将调用相关服务节点，为用户提供极致体验。 趋势六： 随着世界模 ...

Core Insights - Huawei's "Intelligent World 2035" report predicts a tenfold increase in total computing power by 2035, with data becoming the new fuel for AI development [1][3] - The report outlines ten key technological trends that will shape the future, emphasizing the transformative potential of AGI and the evolution of AI from execution tools to decision-making partners [1][2][3] Group 1: Technological Trends - Trend 1: AGI is expected to be the most transformative force in the next decade, but significant challenges must be overcome to achieve breakthroughs [2] - Trend 2: AI agents will evolve from execution tools to decision-making partners, driving an industrial revolution [2] - Trend 3: Human-AI collaborative programming will become mainstream, allowing humans to focus on design and innovation while AI handles coding tasks [2] Group 2: Interaction and Services - Trend 4: Interaction methods are shifting from graphical interfaces to natural language and multi-modal interactions, enhancing user experience [2] - Trend 5: Mobile apps are transitioning from standalone functions to AI-driven service nodes, providing users with seamless experiences [2] - Trend 6: Advances in key technologies will lead to the introduction of L4+ autonomous vehicles, creating a new "third space" for mobility [2] Group 3: Computing and Data - Trend 7: Total computing power is projected to increase by 100,000 times by 2035, with disruptive innovations in computing architecture and paradigms [2][3] - Trend 8: AI storage capacity demand is expected to grow 500 times by 2025, with data becoming a critical driver for AI [2][3] - Trend 9: The number of connected entities will expand from 9 billion people to 900 billion intelligent agents, marking a shift from mobile internet to intelligent agent internet [2] Group 4: Energy and Health - Trend 10: Renewable energy will replace traditional fossil fuels, with over 50% of energy generation coming from renewables by 2035, and AI will play a central role in managing energy systems [3] - By 2035, AI is projected to help prevent over 80% of chronic diseases, shifting health management from reactive to proactive [3] - Over 90% of Chinese households are expected to own smart robots, indicating a significant shift towards immersive technology-driven living environments [3]

Core Insights - Huawei released the "Intelligent World 2035" series report, outlining ten technological trends leading to an intelligent world by 2035 [1][2][3] Group 1: Technological Trends - Trend 1: AGI is expected to be the most transformative driving force in the next decade, but significant challenges must be overcome to achieve the AGI singularity [1] - Trend 2: AI agents will evolve from execution tools to decision-making partners, driving an industrial revolution [2] - Trend 3: Development models will transform, with human-AI collaborative programming becoming mainstream, allowing humans to focus on top-level design and innovation [2] - Trend 4: Interaction methods are shifting from graphical interfaces to natural language and multi-modal interactions, enhancing user experience through voice and gestures [2] - Trend 5: Mobile apps are transitioning from standalone entities to AI-driven service nodes, providing users with an optimized experience through simple commands [2] - Trend 6: Breakthroughs in key technologies will lead to the emergence of L4+ autonomous vehicles, creating a "mobile third space" in daily life [2] - Trend 7: By 2035, total computing power in society is expected to increase by 100,000 times, leading to disruptive innovations in computing architecture and paradigms [2] - Trend 8: Data will become the "new fuel" for AI development, with AI storage capacity needs projected to grow 500 times by 2025, surpassing 70% of total storage [2] - Trend 9: The number of connected objects in communication networks will expand from 9 billion people to 900 billion intelligent agents, marking a leap from mobile internet to intelligent agent internet [3] - Trend 10: Energy will become a core constraint on AI's rapid development, with renewable energy expected to replace traditional fossil fuels, achieving over 50% of total energy generation by 2035 [3]

趋势二：随着大模型的发展，AI智能体将从执行工具演进为决策伙伴，驱动产业革命。 趋势三：开发模式迎来变革，人机协同编程成为主流。人类将更专注于顶层设计和创新思考，而把繁琐 的编码执行工作，交给高效的AI来完成。 据华为官微消息，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》报告两大研究成果。 其中，《智能世界2035》系列报告，详细解读了通往智能世界2035的十大技术趋势： 趋势一：AGI将是未来十年最具变革性的驱动力量，但仍需克服诸多核心挑战，方能实现AGI奇点突 破。因此，走向物理世界是AGI形成的必由之路。 趋势五：手机App正从独立的功能实体，转变为由AI智能体驱动的服务节点。用户只需给出指令，AI智 能体将调用相关服务节点，为用户提供极致体验。 趋势六：随着世界模型等关键技术突破，全新的L4+自动驾驶汽车将会走入人们的生活，成为"移动第 三空间"。 趋势七：2035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 ...

Core Insights - Huawei released the "Intelligent World 2035" series report, which includes key technology trends and their impacts on various industries over the next decade [1][3] Group 1: Key Technology Trends - Trend 1: Artificial General Intelligence (AGI) is expected to be the most transformative force in the next decade, but significant challenges must be overcome to achieve AGI breakthroughs [3] - Trend 2: AI agents will evolve from execution tools to decision-making partners, driving an industrial revolution [3] - Trend 3: Development models will transform, with human-AI collaborative programming becoming mainstream, allowing humans to focus on top-level design and innovation [3] - Trend 4: Interaction methods will shift from graphical interfaces to natural language and multi-modal interactions, enhancing user experience [3] - Trend 5: Mobile apps will transition from standalone functions to AI-driven service nodes, providing users with optimized experiences [4] Group 2: Future Projections - Trend 6: L4+ autonomous vehicles will become part of daily life, creating a "mobile third space" [4] - Trend 7: By 2035, total computing power is projected to increase by 100,000 times, leading to disruptive innovations in computing architecture and paradigms [4] - Trend 8: Data will become the "new fuel" for AI development, with storage capacity needs expected to grow 500 times by 2025, accounting for over 70% of AI storage [4][5] - Trend 9: The number of connected objects will expand from 9 billion people to 900 billion intelligent agents, marking a shift from mobile internet to intelligent agent internet [5] - Trend 10: Energy will be a critical factor for AI development, with renewable energy expected to surpass 50% of total energy generation by 2035 [5] Group 3: Societal Impact - By 2035, AI is predicted to help prevent over 80% of chronic diseases, shifting health management from passive treatment to proactive prevention [6] - Over 90% of Chinese households are expected to have smart robots, leading to immersive technological transformations in home environments [6] - AI-driven autonomous decision-making organizations will reshape production paradigms, with AI application rates exceeding 85% and productivity improvements of 60% [6] - The global digital economy is being invigorated by the technological revolution, with over 70 countries releasing AI strategies [6][7] Group 4: Global Digital Intelligence Index (GDII) - The GDII framework maps traditional economic factors to the digital world, focusing on data, ICT talent, and digital production tools as core elements [7] - The model includes key indicators such as data scale, network connectivity, computing power, and ICT skills, aimed at providing quantitative references for national digital economic development [7] - Huawei aims to collaborate with global partners to leverage opportunities in the digital economy and contribute to a better intelligent world [7]