以下文章来源于凤凰网科技 ，作者凤凰网科技 凤凰网科技 . 凤凰科技频道官方账号，带你直击真相。 本文来自微信公众号： 凤凰网科技 ，作者：赵子坤，编辑：董雨晴，原文标题：《华人AI大神霸气 离职，一篇博客挑明中美大模型暗战》，题图来自：AI生成 近日，清华物理系传奇特奖得主 Yao Shunyu （姚顺宇） 已离开Anthropic，加入 Google DeepMind。 从2024年10月加入，到2025年9月离开，入职仅一年，姚顺宇为何要离开？ 他在个人博客中提及，40%的原因是反对Anthropic最新发言中将中国称为"敌对国家"，另外60%因 素源于无法公开的内部信息判断。 在海外的华人大拿里，有几个知名的"Yao Shunyu"。 一方面，达里奥的"贬损"源于对自身技术路线的维护：DeepSeek在推理模型上的创新对Anthropic坚 持的Scaling Law （缩放定律） 和预训练模型主导的技术路径构成了挑战。 前述所提及的，是物理学出身的姚顺宇，2024年毕业到加州伯克利做了几个月博士后，于当年10月 加入了Anthropic，从量子计算的研究正式转向了人工智能。在 Anthropic期间 ...

Core Viewpoint - Yao Shunyu has left Anthropic to join Google DeepMind, citing opposition to Anthropic's stance on China as a "hostile nation" and undisclosed internal information as reasons for his departure [2][5]. Group 1: Departure Reasons - Yao Shunyu's departure from Anthropic is attributed to 40% opposition to the company's recent statements labeling China as a "hostile nation" and 60% to undisclosed internal information [2]. - Anthropic has increasingly adopted an anti-China stance, which Yao explicitly mentioned in his blog [5]. Group 2: Anthropic's Business Strategy - Since 2025, Anthropic has been expanding its business while explicitly excluding Chinese capital and markets from its official policies [6]. - On September 5, Anthropic announced a halt to services for companies with majority Chinese ownership, directly impacting subsidiaries in regions like Singapore and Hong Kong [7][8]. - Anthropic completed a $13 billion Series F funding round, tripling its valuation to $183 billion in just six months [9]. Group 3: Competitive Landscape - In response to Anthropic's service restrictions, several Chinese AI companies are seizing the opportunity to offer alternatives, leading to a competitive "technology cold war" [20]. - Major Chinese players, including Alibaba and DeepSeek, are rapidly enhancing their models and services to attract former Claude users [21][23]. - AWS has begun offering competing models from Alibaba and DeepSeek, indicating a shift in the competitive dynamics of the AI market [28][29].

Core Insights - Tencent Cloud is focusing on two main strategic directions: "intelligentization" and "globalization," with AI empowerment for customers and international business as key priorities [1][2] Intelligentization Engine - The intelligentization engine is divided into two main aspects: accelerating AI application scenarios and enhancing intelligent agent deployment [3][4] - For C-end applications, the daily active users (DAU) of Yuanbao have entered the top three among domestic AI native applications, while the QQ browser's AI monthly active users have increased by 17.8 times since April [4] - For B-end applications, the user base for Tencent Meeting's AI features has grown by 150% year-on-year, and the AI programming tool CodeBuddy supports 50% of Tencent's new code generation, improving development efficiency by over 16% [4][5] Globalization Engine - Tencent Cloud's international business has achieved high double-digit growth over the past year, with the number of overseas customers doubling [2][6] - The company plans to upgrade its international strategy in three areas: infrastructure, technology, and services. It has established 11 regional offices and 9 global technical support centers [2][6] - Over 90% of internet companies and 95% of leading gaming companies going abroad have chosen Tencent Cloud [2][6] Multi-modal and 3D Model Progress - Tencent Cloud has launched the mixed Yuan 3D 3.0 model, which has tripled modeling accuracy compared to the previous version [7] - The company introduced a one-stop tool, Mixed Yuan 3D Studio, for professional 3D producers, covering seven core processes applicable in game development, animation production, and industrial design [7] - The production efficiency of 3D assets has significantly improved, reducing the generation cycle from 5-7 days to just a few minutes using the Mixed Yuan 3D AI production pipeline [7]

Company Updates - Tencent held the 2025 Global Digital Ecosystem Conference on September 16, announcing advancements in AI technologies and products, and committing to fully open its AI capabilities to accelerate the implementation of "usable AI" [1] - The latest release of the mixed Yuan 3D 3.0 model has improved modeling accuracy by three times, supporting ultra-high-definition modeling with 3.6 billion voxels, applicable in gaming, animation, and industrial design [1] - Tencent is adapting to domestic chips and integrating various types of chips through a heterogeneous computing platform, aiming to provide cost-effective AI computing services [1] Industry Insights - Tencent's B/C-end applications are expanding, with its Yuanbao app ranking in the top three for daily active users among domestic AI-native applications, and the IMA knowledge base surpassing 100 million files [2] - The user base for AI features in Tencent Meeting has increased by 150% over the past year, while the AI programming tool CodeBuddy supports 50% of new code generation internally, reducing coding time by 40% and improving development efficiency by over 16% [2] - Tencent Cloud's AI Agent development platform has been upgraded to version 3.0, supporting multiple intelligent agent development frameworks, which enhances Tencent's own agent development and strengthens its ecosystem partnerships [2] Profit Forecast and Valuation - The company maintains its revenue and profit forecasts for 2025/2026, with a target price of HKD 700, corresponding to 23x/20x 2025e/2026e Non-IFRS P/E, indicating an 8.5% upside potential from the current stock price [2]

Investment Rating - The report maintains a "Buy" rating for Tencent Holdings with a target price of HKD 705.0, indicating a potential upside of 6.6% from the current price of HKD 661.50 [3]. Core Insights - Tencent Cloud is focusing on two strategic directions: "intelligentization" and "globalization," with AI-enabled customer solutions and international business growth as key priorities [1][8]. - The company has accelerated the deployment of AI applications across both consumer (C-end) and business (B-end) sectors, showcasing significant growth in user engagement and application usage [7][10]. - Tencent Cloud's international business has seen high double-digit growth over the past year, with the number of overseas customers doubling, positioning it as a preferred choice for over 90% of internet companies and 95% of leading gaming companies going global [1][20]. Financial Summary - For FY23A, Tencent's revenue is reported at RMB 609,015 million, with an adjusted net profit of RMB 157,688 million. Projections for FY24A and FY25E show revenues of RMB 660,257 million and RMB 736,804 million, respectively, with adjusted net profits of RMB 222,703 million and RMB 252,172.5 million [2][27]. - The adjusted earnings per share (EPS) for FY24A is projected at RMB 23.96, increasing to RMB 27.17 in FY25E, reflecting a positive growth trajectory [2][27]. Strategic Developments - Tencent Cloud has launched a comprehensive AI application matrix, with over a hundred applications upgraded to include AI capabilities, enhancing user experience across platforms like WeChat and Tencent Meeting [8][10]. - The company has introduced the "Agent Runtime" solution to support intelligent agents, significantly improving deployment speed and operational efficiency [13][18]. - Tencent Cloud's mixed 3D model has improved modeling accuracy by three times compared to previous versions, facilitating faster production cycles for 3D assets [22][23].

Group 1 - The core viewpoint of the report is that the company maintains its revenue and profit forecasts for Tencent Holdings for 2025 and 2026, with a target price of HKD 700, indicating an 8.5% upside potential from the current stock price [1] - Tencent's recent advancements in AI technology were highlighted during the Tencent Global Digital Ecosystem Conference, showcasing the company's commitment to accelerating the implementation of practical AI solutions [1][2] - The report emphasizes Tencent's continuous evolution of foundational models, with the launch of the mixed Yuan 3D 3.0 model, which improves modeling accuracy by three times and supports ultra-high-definition modeling [2] Group 2 - Tencent is adapting its AI capabilities to domestic chips, which will enhance its AI computing power services and support various applications in gaming, animation, and industrial design [2] - The company is expanding its B2C and B2B application ecosystems, with notable growth in user engagement for its AI products, such as the Tencent Yuanbao and AI programming tool CodeBuddy [2] - Tencent Cloud's AI Agent development platform has been upgraded to version 3.0, which supports multiple intelligent agent development frameworks, reinforcing its ecosystem partnerships [2]

C端方面，腾讯元宝在国内AI原生应用中DAU排名前三;IMA知识库文件数量已经突破1亿。B端方面， 腾讯会议近1年AI功能用户量同增150%;AI编程工具CodeBuddy支持腾讯内部50%新增代码生成，编码时 间缩短40%，研发提效超16%，内部提效明显。可以看到，腾讯B/C端正牢抓客户最真实的需求，逐步 推进落地中，尤其是C端，该行判断腾讯或基于其过往积累的对C端产品的理解以及自身强大的社交生 态，从而更具优势。此外，腾讯云AIAgent相关亦在推进——腾讯云智能体开发平台升级为3.0版本，支 持多种智能体开发框架，并发布智能体战略全景。该行认为此举既可赋能腾讯自身Agent的研发，亦可 巩固其生态伙伴。 基础模型持续进化，国产算力加速适配 腾讯最新发布混元3D3.0基模，建模精度提升3倍，支持36亿体素超高清建模，基于其打造的3DAI工作 台混元3DStudio可广泛应用于游戏开发、动画制作、工业设计等场景。同时，腾讯表示将全面适配国产 芯片，将通过异构计算平台的软件能力，整合不同类型的芯片，对外提供高性价比的AI算力服务。该 行认为，腾讯在模型领域正在快速迭代，在众多模型厂商中基于自身场景建立差异化优 ...

Core Viewpoint - Tencent is fully opening its AI capabilities, positioning it as a core engine for driving industrial efficiency transformation [1][3] Group 1: AI Technology and Product Development - Tencent aims to enhance industrial efficiency through "intelligentization" and expand revenue through "globalization," which are seen as the two core growth drivers for enterprises [3] - The company is transitioning AI from a technical concept to a practical productivity tool, using its vast internal operations as a testing ground to develop a comprehensive AI service system [4] - Tencent's AI inference computing demand is surging, with a shift in market focus from AI training to AI inference capabilities expected by 2025 [4][5] Group 2: AI Infrastructure and Solutions - Tencent has launched the "Agent Runtime" solution for intelligent agents, featuring a "cloud sandbox" with a startup time of approximately 100 milliseconds and supporting tens of thousands of concurrent instances [4] - The company has adapted its heterogeneous computing platform to mainstream domestic chips, providing high-cost performance AI computing power to alleviate supply pressure [3][4] Group 3: Market Trends and Projections - The demand for AI inference indicates a more diverse range of application scenarios and increased sensitivity to costs, leading to a rise in demand for diversified and cost-effective computing solutions [5] - Tencent's AI-native application "Tencent IMA" saw its monthly active users increase 80 times within six months, and the "Yuanbao" service provided 150 million answers related to college entrance examination questions [5] Group 4: Developer Productivity and Internal Use - Over 90% of Tencent's engineers use the AI coding tool CodeBuddy, which has reduced coding time by over 40%, with AI-generated code accounting for more than 50% of new code [6] - The AI features in Tencent Meeting have seen a 150% year-on-year increase in user numbers, reflecting the tangible impact of AI on work processes [6] Group 5: Global Expansion Efforts - Tencent plans to invest $150 million in building its first data center in Saudi Arabia and a third data center in Osaka, Japan, as part of its internationalization strategy [8] - The company has successfully migrated multiple services of Indonesia's GoTo Group to Tencent Cloud, marking a significant achievement in its cloud migration capabilities [9]

Core Insights - Tencent is fully opening its AI capabilities, viewing it as a core engine for driving industrial efficiency transformation [1] - The company aims to shift from scale expansion to efficiency competition amid rising costs and profit pressures [1] - Tencent's strategy includes leveraging its vast internal business as a testing ground for AI applications before offering them externally through Tencent Cloud [2] AI Implementation Acceleration - Tencent is accelerating the transition of AI from a technical concept to a practical productivity tool, focusing on internal large-scale scenarios for validation [2] - The company has launched the "Agent Runtime" solution, which supports rapid deployment and high concurrency for AI applications [2] - Tencent's heterogeneous computing platform is now compatible with mainstream domestic chips, providing cost-effective AI computing power [2] Shift in AI Demand - The industry is witnessing a shift from AI training to inference, with 2025 seen as a pivotal year for this transition [3] - There is a significant increase in demand for AI inference computing power, reflecting a broader range of application scenarios and cost sensitivity [3] - Tencent's AI-native application "Tencent IMA" saw its monthly active users increase 80 times in six months, indicating a surge in AI application usage [3] Model and Platform Development - Tencent's self-developed "Hunyuan" model has upgraded its modeling accuracy by three times [4] - The intelligent agent development platform (ADP) has undergone nearly 600 feature iterations in three months to meet enterprise needs [4] - Over 90% of Tencent's engineers use the AI programming tool CodeBuddy, which has reduced coding time by over 40% [4] Global Expansion Efforts - Tencent is accelerating its internationalization process to support Chinese enterprises going global [6] - The company plans to invest $150 million in building its first data center in Saudi Arabia and a third data center in Osaka, Japan [6] - Tencent Cloud successfully migrated multiple services of Indonesia's GoTo Group from other cloud platforms, marking a significant achievement in its migration capabilities [6][7] Performance in Overseas Markets - Tencent Cloud's overseas business has seen remarkable growth, with the number of overseas clients doubling in the past year [7] - More than 90% of leading outbound internet companies and 95% of top outbound gaming companies have chosen Tencent Cloud [7]

Core Insights - Tencent is fully opening its AI capabilities, viewing it as a core engine for driving industrial efficiency transformation [1] - The company aims to shift from scale expansion to efficiency competition in response to rising costs and profit pressures [1][8] AI Implementation Acceleration - Tencent is accelerating the transition of AI from a technical concept to a practical productivity tool, using its vast business as the first testing ground [2] - The company has launched the "Agent Runtime" solution, which supports rapid startup times and high concurrency for AI applications [2] Shift in AI Demand - The industry is witnessing a shift from AI training to AI inference, with a significant increase in demand for inference computing power expected by 2025 [3] - Tencent's AI-native application "Tencent IMA" saw its monthly active users increase by 80 times in six months, indicating a surge in AI application usage [3] Model and Platform Development - Tencent's self-developed "Hunyuan" model has upgraded its modeling accuracy by three times, and the intelligent agent development platform has undergone nearly 600 feature iterations in three months [4] - Over 90% of Tencent's engineers are using the AI programming tool CodeBuddy, which has reduced coding time by over 40% [4] Globalization Efforts - Tencent is accelerating its internationalization process to support Chinese enterprises going global, with plans to invest $150 million in a data center in Saudi Arabia [6] - The company has successfully migrated multiple services of Indonesia's GoTo Group to Tencent Cloud, showcasing its migration capabilities [6][7] New Paradigm for Efficiency Growth - Tencent's dual focus on "intelligentization" and "globalization" aims to provide a technology-driven efficiency model for growth amid economic pressures [8] - Collaborations with companies like Huazhu Group and Midea Group demonstrate the effectiveness of Tencent's solutions in enhancing operational efficiency [8]