Core Insights - Tencent is enhancing its AI model development framework by establishing new departments, including AI Infra, AI Data, and Data Computing Platform, to strengthen its core capabilities in AI model research [2][6] - Renowned OpenAI researcher Yao Shunyu has joined Tencent as the Chief AI Scientist and will lead the AI Infra and Large Language Model departments, indicating a significant talent acquisition for Tencent's AI initiatives [3][4] Group 1: Organizational Changes - Tencent has appointed Yao Shunyu as the Chief AI Scientist, who will report directly to Tencent's President Liu Chiping, and will also oversee the AI Infra and Large Language Model departments [2][3] - The newly formed AI Infra department will focus on building technical capabilities for large model training and inference platforms, while the AI Data and Data Computing Platform departments will handle data and evaluation systems [6] Group 2: Talent Acquisition and Strategy - Yao Shunyu's recruitment is seen as a signal of Tencent's commitment to strengthening its AI capabilities, as he is recognized as a top talent in the AI field [4][5] - Tencent's strategy includes a focus on young talent, with plans to rapidly promote young professionals within the AI sector, emphasizing the need for sufficient talent to create valuable innovations [4][7] Group 3: AI Model Development - Tencent's core AI research team, known as the Mix Yuan team, has released over 30 new models in the past year, with the recent Mix Yuan 2.0 showing significant improvements in pre-training data and reinforcement learning strategies [4][5] - The Mix Yuan 3D model has achieved a leading position globally, with over 3 million downloads from the open-source community, reflecting the team's strong technical capabilities [5][6] Group 4: Internal AI Integration - Tencent is undergoing a comprehensive AI-driven efficiency transformation, with the Mix Yuan model being implemented in over 900 internal applications, including Tencent Meeting, WeChat, advertising, and gaming [7] - More than 90% of Tencent engineers are utilizing the Tencent Cloud Code Assistant, CodeBuddy, with AI assisting in generating 50% of new code and participating in 94% of code review processes [7]

人才策略：年轻化、国际化与实战化 来源：环球网 【环球网科技报道 记者 李文瑶】12月17日，腾讯正式宣布对大模型研发体系进行重大架构调整，新设 立AI Infra部、AI Data部、数据计算平台部三大部门，并引入年仅27岁的OpenAI前研究员姚顺雨 （Vinces Yao）出任"CEO/总裁办公室"首席AI科学家。 在AI竞争日趋白热化的当下，腾讯此次调整显然不是简单的部门增设，而是一次系统性、面向未来的 战略布局。从技术架构到人才引进，从内部效率提升到外部生态赋能，腾讯正试图在工程能力、数据体 系、平台支撑等多维度构筑护城河，回应行业对"大模型如何真正落地"的追问。 架构重组：从技术支撑到体系化作战 记者从腾讯方面了解到，此次新成立的三个部门各有明确分工，共同构成腾讯大模型研发的"铁三角"。 AI Infra部聚焦大模型训练与推理的平台能力，重点攻关分布式训练、高性能推理等底层技术；AI Data 部负责构建大模型数据与评测体系；数据计算平台部则致力于打通大数据与机器学习 平台，推动数据 智能融合。 值得注意的是，这三者并非孤立运作，而是围绕"研发—数据—平台"形成闭环。AI Infra提供算力与系 ...

Core Insights - Tencent has announced an upgrade to its large model research and development framework, establishing new departments to enhance its capabilities in this area [1] Group 1: Organizational Changes - The newly formed AI Infra Department, AI Data Department, and Data Computing Platform Department will strengthen Tencent's large model R&D system and core capabilities [1] - Vincesyao, a former OpenAI researcher, has been appointed as the Chief AI Scientist in the "CEO/President's Office" and will report to Tencent's President, Liu Chiping [1] - Vincesyao will also lead the AI Infra Department and the Large Language Model Department, reporting to the President of the Technology Engineering Group, Lu Shan [1] Group 2: Department Responsibilities - The AI Infra Department is tasked with building the technical capabilities for large model training and inference platforms [1]

2025年12月17日，人工智能领域顶尖学者、OpenAI前核心研究员姚顺雨正式加盟腾讯集团，出任CEO/总裁办公室首席AI科学家，直接向腾讯集团总裁刘 炽平汇报；同时，他将兼任新成立的AI Infra部及大语言模型部负责人，向腾讯技术工程事业群（TEG）总裁卢山汇报。此次任命不仅标志着腾讯在AI核 心人才布局上的重大突破，更凸显了其加码大模型研发、构建AI基础设施核心竞争力的战略决心。 作为AI领域备受瞩目的青年领军者，姚顺雨的学术与职业履历堪称亮眼。这位27岁的天才科学家出身"清华姚班"——由图灵奖得主姚期智院士创办的计算 机科学实验班，2015年他以安徽省理科第三的704分成绩考入该班，本科期间曾担任姚班联席会主席，展现出卓越的学术组织能力。随后他赴普林斯顿大 学深造，主攻自然语言处理与强化学习，2024年获计算机科学博士学位，其博士阶段提出的"思维树（Tree of Thoughts）"框架，大幅提升了AI模型的复杂 问题决策能力，相关成果已成为业界主流技术范式。 在OpenAI任职期间，姚顺雨作为核心研究员参与了智能体产品Operator与Deep Research等关键项目的研发，其提出的ReAc ...

得注意的是，中国上榜企业呈现多元发展特征，金融服务、能源和消费品三大行业稳居前列，宁德时代领衔全球 储能行业，小米跻身消费电子领域全球领先阵营，腾讯、字节跳动则与国际巨头共同主导全球娱乐行业发展，在 多个细分领域占据全球领先地位。 本次榜单还呈现出诸多值得关注的行业与区域趋势：从行业分布来看，金融服务以 249 家上榜企业居首，能源 （119 家）、生命健康（73 家）紧随其后，而人工智能相关领域的企业价值增长最为显著，目前榜单上已有 11 家 价值万亿美元的人工智能相关企业，远超 2020 年的 4 家；从城市维度来看，北京以 53 家上榜企业的规模蝉联全 球第一，较上年新增 5 家，东京（47 家）与纽约（40 家）分列二三位，上海（16 家）、深圳（15 家）、孟买 （17 家）等亚洲金融中心通过显著的价值增长巩固了自身地位；从企业属性来看，千强企业中有 10% 为非上市 公司，OpenAI、字节跳动、SpaceX 等成为全球最具价值的未上市企业代表，展现了非上市企业在创新领域的强 劲活力。 此外，榜单还反映出全球企业价值创造的 "头部聚集" 特征：价值超 1000 亿美元的企业从 5 年前的 115 ...

北水净买入最多的个股是小米集团-W(01810)、美团-W(03690)、南方恒生科技(03033)。北水净卖出最 多的个股是中国移动(00941)、中海油(00883)。 智通财经获悉，12月17日港股市场，北水成交净买入79.09亿港元，其中港股通(沪)成交净买入22.18亿 港元，港股通(深)成交净买入56.91亿港元。 小米集团-W(01810)获净买入10.62亿港元。消息面上，小米集团合伙人、集团总裁卢伟冰在2025小 米"人车家全生态"合作伙伴大会上宣布，小米未来五年将在研发上投入2000亿元，长期目标是成为全球 硬核科技的引领者。此外，大摩预期公司未来在云端人工智能和边缘人工智能方面将取得更明显的进 展。 北水抢筹科网股，美团-W(03690)、阿里巴巴-W(09988)、腾讯(00700)、快手-W(01024)分别获净买入7.5 亿、5.43亿、4.57亿、1.84亿港元，而南方恒生科技(03033)亦获净买入7.45亿港元。消息面上，东吴证 券研报认为，从资金层面上看，南向资金以守为主，普遍等待今年结束后，明年开始后做进攻。一季度 政策开门红共识强烈，除了科技之外，普遍看好有色。从中长期 ...

沪港通（南向）十大活跃成交公司 | 公司名称 | 成交金额 | 净买入额 | | --- | --- | --- | | 阿里巴巴-W(09988) | 30.01 亿元 | +1.43 亿元 | | 长飞光纤光缆(06869) | 20.20 亿元 | +2.03 亿元 | | 腾讯控股(00700) | 14.40 亿元 | +2.10 亿元 | | 中国海洋石油(00883) | 14.35 亿元 | -3.85 亿元 | | 小米集团-W(01810) | 12.89 亿元 | +1.74 亿元 | | 中芯国际(00981) | 11.37 亿元 | -3132.24 万元 | | 工商银行(01398) | 8.67 亿元 | +2392.90 万元 | | 美团-W(03690) | 8.66 亿元 | +5708.57 万元 | | 紫金矿业(02899) | 8.29 亿元 | +3.58 亿元 | | 中国人寿(02628) | 8.20 亿元 | +3.13 亿元 | 智通财经APP获悉，2025年12月17日当天，阿里巴巴-W(09988)、长飞光纤光缆(06869)、腾讯控股 (00 ...

北京商报讯（记者 魏蔚）12月17日，腾讯新成立AI Infra（人工智能基础设施）部、AI Data（人工智能 数据）部、数据计算平台部，升级大模型研发架构。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。 Vincesyao出任"CEO/总裁办公室"首席AI科学家，向腾讯总裁刘炽平汇报；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。王迪继续担任大语言模型部副总经理，向Vincesyao 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。据 猜测，Vinces Yao为数月前入职腾讯的姚顺雨，他毕业于清华和普林斯顿大学，曾任OpenAI研究员。 ...

Core Viewpoint - China's economic policies and technological advancements are creating opportunities for U.S.-listed Chinese companies, indicating a potential rebound in 2026 [2][3][8]. Economic Policy Changes - In December 2025, China's Politburo announced a shift to a moderately loose monetary policy for the first time since 2010, breaking a 14-year trend of cautious policy [3]. - The Central Economic Work Conference set a 4% budget deficit target and prioritized domestic demand for 2026 [3]. Financial Institutions' Outlook - Goldman Sachs raised its 2026 GDP forecast to 4.8%, while the IMF expects 4.5% growth, reflecting increased confidence in China's recovery plans [4]. Technology Sector Growth - China's technology sector is thriving, particularly in artificial intelligence and e-commerce, with the e-commerce market valued at approximately $2.42 trillion in 2025 and projected to grow at a CAGR of 8.9% to reach around $5.68 trillion by 2035 [5]. - Major companies like Alibaba and JD.com are leveraging AI to enhance customer experiences [5]. Manufacturing Advancements - Significant progress is being made in semiconductors and electric vehicles, with record sales of 1.82 million electric vehicles in November 2025, capturing 53% of the domestic market [6]. Government Investments - Beijing is heavily investing in green energy and advanced manufacturing technologies, with Alibaba committing over $50 billion for cloud and AI development [7]. Economic Indicators - Manufacturing activity reached a five-month high in November, and consumer prices rose to 0.7%, the highest in 21 months, indicating effective government stimulus measures [8]. Stock Performance and Opportunities - Tencent, Baidu, and Bilibili have seen recent stock declines of 13.5%, 9.3%, and 12.5% respectively, presenting potential entry points for investors [10]. - Tencent reported record gaming sales of $10 billion internationally, with a 15% revenue growth and a 43% surge in international gaming [11]. - Bilibili achieved a net profit of RMB469 million in Q3 2025, with a 233% year-over-year increase in adjusted net profit and 13 consecutive quarters of gross margin expansion [13]. - Baidu's AI capabilities are expanding, with a significant focus on semiconductor value and a projected earnings increase of 1.1% to $8.36 per share for 2026 [15][16].

12月17日，腾讯宣布升级大模型研发架构，新成立AI Infra部、AI Data部和数据计算平台部，旨在全面强化大模型的研发体系与核心能力。其中，Vinces Yao 出任"CEO/总裁办公室"首席AI科学家，向腾讯总裁刘炽平汇报；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。 据智通财经了解，新成立的腾讯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，为大模 型算法研发和业务场景落地提供技术支持。 而架构升级后的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Vinces Yao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。 "过去几十年我们专注于把模型训得更强，如今游戏规则彻底反转——接下来比拼的不是训练，而是如何定义并评估真正有用的任务。换言之，第一阶段的 看家法宝是Transformer、深度强化学习和大规模预训练；而第二阶段，你得像产品经理一样重新思考：A ...