Core Viewpoint - Tencent has announced a significant organizational restructuring in its AI division, with the notable addition of Yao Shunyu, a prominent figure in the AI research community, as the Chief AI Scientist [1][4][11]. Group 1: Yao Shunyu's Background and Role - Yao Shunyu, a former OpenAI researcher and a distinguished academic, has joined Tencent as the Chief AI Scientist in the CEO's office, reporting directly to Tencent's president, Liu Chiping [2][4]. - At only 28 years old, Yao has made substantial contributions to the field of AI, particularly in the area of large models and agent-based research, with notable works including Tree of Thoughts and ReAct [3][19]. - His recent departure from OpenAI and subsequent move to Tencent has garnered significant attention, highlighting his status as a leading talent in the AI sector [3][11]. Group 2: Organizational Changes at Tencent - Tencent has restructured its AI organization, establishing new departments such as AI Infra, AI Data, and Data Computing Platform to enhance its large model development capabilities [6][8]. - The AI Infra department, led by Yao, will focus on building the technical capabilities for large model training and inference, aiming to create a competitive edge in AI infrastructure [8][10]. - The restructuring aims to strengthen Tencent's engineering advantages and improve the efficiency of AI large model research, aligning with the company's strategic goals in AI [8][12]. Group 3: Tencent's AI Product Development - Over the past year, Tencent has launched more than 30 new models under its Mix Yuan series, with Mix Yuan 2.0 showing significant improvements in pre-training data and reinforcement learning strategies [9]. - Tencent's AI product, Yuanbao, has rapidly gained user acceptance, becoming one of the top AI applications in China, and is integrated into major platforms like WeChat and QQ [10]. - The company is undergoing a comprehensive AI-driven efficiency transformation, with over 900 applications utilizing its Mix Yuan models across various internal services [10][12]. Group 4: Strategic Importance of AI for Tencent - Tencent's advancements in AI are closely tied to its extensive resources, including rich scenarios, vast data, and a strategic approach, positioning the company favorably in the AI landscape [14][15]. - The recruitment of top talent like Yao Shunyu signifies Tencent's commitment to accelerating its AI initiatives and enhancing its capabilities in the competitive AI market [11][12].

腾讯控股(00700)发布公告，该公司于2025年12月17日斥资6.36亿港元回购105.7万股股份，每股回购价 格为595-605.5港元。 ...

格隆汇12月17日丨腾讯控股(00700.HK)发布公告，2025年12月17日耗资6.36亿港元回购105.7万股，回购 价格每股595-605.5港元。 ...

智通财经APP讯，腾讯控股(00700)发布公告，该公司于2025年12月17日斥资6.36亿港元回购105.7万股股 份，每股回购价格为595-605.5港元。 ...

Core Viewpoint - The article discusses Tencent's significant upgrade in its AI model development framework, highlighted by the appointment of renowned AI scholar Vincesyao as Chief AI Scientist, indicating a strategic shift towards systematic engineering in AI model development [2][5]. Group 1: Key Personnel and Strategic Shift - Vincesyao, a former OpenAI scientist, joins Tencent to lead AI Infra and the large language model department, reporting directly to Tencent's president [2][5]. - His expertise in AI agents and large model reasoning is expected to enhance Tencent's capabilities in AI, aligning with the company's focus on systematic engineering and AI infrastructure [5][6]. Group 2: Structural Upgrades - Tencent has established three key departments: AI Infra, AI Data, and a data computing platform, to strengthen its large model development foundation [6][8]. - The AI Infra department will focus on distributed training and high-performance inference services, while the AI Data department will concentrate on data and evaluation systems [6][8]. Group 3: Competitive Landscape - The article emphasizes that AI competition is evolving beyond model parameters to a "system war" that integrates data, infrastructure, and algorithms [8]. - Tencent's internal AI efficiency transformation has led to the deployment of its mixed Yuan model in over 900 applications and scenarios [10]. Group 4: Achievements and Performance Metrics - Tencent's mixed Yuan model has released over 30 new models in the past year, with the latest mixed Yuan 2.0 leading in complex reasoning and text generation [13]. - The AI capabilities have been integrated into major products like WeChat and QQ, with 90% of Tencent engineers using the CodeBuddy AI code assistant, generating 50% of new code with AI assistance [13].

Core Insights - OpenAI researcher Yao Shunyu has joined Tencent, igniting discussions in the AI community [1] - Tencent has upgraded its large model research framework, establishing new departments to enhance its capabilities [2][3] Group 1: Organizational Changes - Tencent has formed the AI Infra Department and AI Data Department to strengthen its large model research and core capabilities [2] - Yao Shunyu has been appointed as the Chief AI Scientist, reporting to Tencent's President Liu Chiping, and will also lead the AI Infra Department and the large language model department [2][5] Group 2: Department Responsibilities - The AI Infra Department will focus on building technical capabilities for large model training and inference platforms, emphasizing distributed training and high-performance inference services [3] - The AI Data Department and Data Computing Platform Department will be responsible for constructing data and evaluation systems for large models and integrating big data with machine learning [4] Group 3: Yao Shunyu's Background - Yao Shunyu is a prominent young researcher in the field of artificial intelligence, particularly in the area of intelligent agents [6] - Prior to joining OpenAI, he made significant contributions in the field of language intelligent agents and has a total citation count exceeding 19,000 for his papers [7]

翌日披露報表 (股份發行人 ── 已發行股份或庫存股份變動、股份購回及/或在場内出售庫存股份) 表格類別： 股票 狀態： 新提交 公司名稱： 騰訊控股有限公司 呈交日期： 2025年12月17日 如上市發行人的已發行股份或庫存股份出現變動而須根據《香港聯合交易所有限公司（「香港聯交所」）證券上市規則》(「《主板上市規則》」)第13.25A條 / 《香港聯合交易所有限公司GEM證券 上市規則》(「《GEM上市規則》」)第17.27A條作出披露，必須填妥第一章節 。 | 第一章節 | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1. 股份分類 | 普通股 | 股份類別 | 不適用 | | 於香港聯交所上市 | 是 | | | | 證券代號 (如上市) | 00700 | 說明 | | | | | | | | 多櫃檯證券代號 | 80700 | RMB 說明 | | | | | | | | A. 已發行股份或庫存股份變動 | | | | | | | | | | | | | 已發行股份（不包括庫存股份）變動 | | ...

过去一年，混元大模型发布超过30个新模型。与此同时，腾讯公司内部正在推进一场全面AI化的效率 变革。据腾讯财报会信息，截至目前，腾讯混元大模型已在腾讯会议、微信、广告、游戏等内部超过 900款应用和场景中落地。在腾讯公司内部，有超90%的腾讯工程师在使用腾讯云代码助手 CodeBuddy，50%新增代码由AI辅助生成。 （文章来源：新京报） 作为腾讯大模型体系的重要一环，AI Infra部将负责大模型训练和推理平台技术能力建设，聚焦大模型 分布式训练、高性能推理服务等核心技术能力，构建大模型AI Infra核心竞争力，为大模型算法研发和 业务场景落地提供稳定高效的技术支持和服务。 架构升级后的AI Data部、数据计算平台部，将分别负责大模型数据及评测体系建设、大数据和机器学 习的数据智能融合平台建设工作。王迪继续担任大语言模型部副总经理，向姚顺雨汇报。刘煜宏担任 AI Data部负责人、陈鹏担任数据计算平台部负责人，均向公司副总裁蒋杰汇报。 AI大模型研究与工程技术紧密相关。在过往混元大模型训练以及海量业务场景的深度实践中，腾讯已 经积累了系统化的工程能力；此次大模型研发架构升级，在进一步强化腾讯工程化优势 ...

从此次腾讯新成立的部门看，AI Data部、数据计算平台部将分别负责大模型数据及评测体系建设、大数据和机器学习的数据智能融合平台建设工作。大模 型研发架构中，大语言模型部副总经理为王迪，向姚顺雨汇报。AI Data部负责人、数据计算平台部负责人分别是刘煜宏和陈鹏，均向公司副总裁蒋杰汇 报。 多家国内科技大厂都在吸纳顶级AI人才。 第一财经记者获悉，腾讯今日新成立AI Infra部、AI Data部、数据计算平台部，以强化大模型研发体系与核心能力。姚顺雨出任"CEO/总裁办公室"首席AI科 学家，向腾讯总裁刘炽平汇报，他同时兼任AI Infra部、大语言模型部负责人，向技术工程事业群总裁卢山汇报。 姚顺雨是OpenAI前研究员。今年9月，就有市场传言称姚顺雨被高薪招入腾讯，彼时腾讯"鹅厂黑板报"公众号还辟谣了"姚顺雨上亿薪资入职腾讯"的消息。 从人才招聘看，今年腾讯对AI等技术人才有所偏重。今年4月，腾讯公众号发文称，公司开启"史上最大就业计划"，三年内将新增2.8万个实习岗位并加大转 化录用。2025年公司将迎来 1万名校招实习生，有60%的岗位面向技术人才开放。 腾讯表示，今年开放的校招实习岗位涵盖技术、产 ...

Core Insights - Tencent Games continues to demonstrate growth potential, achieving a Q3 revenue of 192.87 billion yuan, a 15% year-on-year increase, with gaming revenue reaching 63.6 billion yuan, up 22.8% [1] - The strategic shift towards "returning to large DAU games and focusing on evergreen game series" has shown positive results, but challenges remain in self-developed efficiency and innovation [1] Group 1: Organizational Adjustments - Tencent Games has undergone three major structural adjustments to align with its 2025 strategy, moving from an internal competition model to a more streamlined approach [2] - The restructuring includes consolidating multiple studios into a "4+2" model, focusing on specific game genres and enhancing operational clarity [2][4] - New game releases in 2025 include "Delta Force" and "Valorant," with "Delta Force" performing exceptionally well in the market [4][6] Group 2: Game Performance and Market Strategy - "Delta Force" has achieved over 4 billion yuan in annual revenue since its launch, indicating strong market demand for FPS games [6] - Tencent's new game "NBA All-Star" has successfully attracted basketball fans through its official NBA licensing, maintaining a top position in the iOS sports game rankings [8] - The company is focusing on a "GaaS" (Game as a Service) model, extending this approach to PC games, which has contributed to the success of several titles [10][12] Group 3: International Expansion and Revenue Growth - Tencent's international market revenue grew by 43% year-on-year in Q3 2025, marking the highest growth rate since the segment began reporting separately [14] - The company is investing in global IPs and local studios to enhance its international presence, successfully integrating domestic operational models with global strategies [12][14] - The strategy of validating game concepts in the domestic market before global rollout has reduced risks and strengthened Tencent's competitive position [16] Group 4: Competitive Landscape and Challenges - Despite maintaining a leading position, Tencent faces increasing competition from companies like NetEase, which holds a 28% market share and has a strong portfolio of new games [17] - The gaming market is experiencing a shift towards "de-fan culture," which may affect player loyalty and retention, as users are less emotionally attached to individual games [19] - Tencent's reliance on established titles like "Honor of Kings" for revenue and the dependency on external IPs for international growth present potential vulnerabilities [22]