马来西亚通讯与多媒体委员会（MCMC）1月13日发布声明称，将对埃隆·马斯克的X平台采取法律行 动，理由是该平台未能确保马来西亚用户在使用Grok过程中的安全问题。MCMC表示，将很快对X公司 及马斯克的人工智能初创公司xAI启动法律程序。该委员会称正与马来西亚通讯部协同推进此事。此 前，马来西亚通讯与多媒体委员会于本月11日下达禁令，即暂时限制访问马斯克旗下人工智能企业xAI 的聊天机器人Grok，原因是Grok被滥用，用于生成色情、不雅和未经同意的篡改图像。 ...

专题：第50届清华大学中国与世界经济论坛 责任编辑：李思阳 专题：第50届清华大学中国与世界经济论坛 第50届清华大学中国与世界经济论坛于1月13日在线上播出。北京大学智能学院教授林宙辰 表示，将来 一个人可以管理很多智能体，每个智能体可以做很多的事情，而且未来绝大部分公司可能就只有少数几 个人，会管理很多智能体，办很多的事情。 "现有的学生思想观念还要做很多的转变，不一定非得进入大厂，或者国企等特别有保障的单位，唯一 不变的就是变化，大家还是要有一点胆略。"他说。 第50届清华大学中国与世界经济论坛于1月13日在线上播出。北京大学智能学院教授林宙辰 表示，将来 一个人可以管理很多智能体，每个智能体可以做很多的事情，而且未来绝大部分公司可能就只有少数几 个人，会管理很多智能体，办很多的事情。 "现有的学生思想观念还要做很多的转变，不一定非得进入大厂，或者国企等特别有保障的单位，唯一 不变的就是变化，大家还是要有一点胆略。"他说。 他还指出，即使在AI领域，岗位薪酬差距也特别大，Meta2025年引进的高端研究员，年薪都在一亿美 元以上，甚至达到了四亿美元，另一方面，美国2025年裁了十几万的程序员，"我认为没 ...

Group 1 - The core point of the article is the collaboration between Apple and Google to enhance Siri using Google's Gemini model, raising concerns about AI power concentration and privacy [2][10][11] - Apple has entered a "white-labeled" partnership with Google, integrating a customized version of the Gemini model with 12 trillion parameters into Siri [3][4] - The new Siri will not display any Google branding and will maintain Apple's identity, while still allowing Apple to use OpenAI's ChatGPT as a backup for complex queries [4][5] Group 2 - Privacy is a major concern for Apple users, and the company has assured that user data will remain within its ecosystem through a "hybrid processing model" [5][6] - Simple tasks will be processed on-device, while complex tasks will utilize the Gemini model on Apple's private cloud, ensuring user data is anonymized and not accessible to Google [5][6] - Apple's decision to partner with Google is seen as a strategic move due to the challenges in developing its own AI models and the superior capabilities of Gemini [7][8] Group 3 - The collaboration has sparked concerns about market monopolization, with critics highlighting Google's existing dominance in various tech sectors [10][11] - Apple's market share in the global smartphone market reached 20% in 2025, surpassing Samsung, which enhances its influence over AI applications on iOS [12] - The enhanced Siri is expected to launch in late 2026, promising advanced features while Apple continues to invest in developing its own AI models for the long term [13][14]

智通财经1月13日讯，三大指数集体调整，深成指跌超1%，创业板指冲高回落跌近2%。沪深两市成交 额3.65万亿，较上一个交易日放量496亿。盘面上，全市场超3700只个股下跌。从板块来看，AI应用概 念逆势上涨，十余只成分股涨停，引力传媒、利欧股份、省广集团涨停。AI医疗概念反复活跃，美年 健康3连板，泓博医药、新赣江等多股涨停。电网设备概念午后走强，特变电工、三变科技涨停。零售 概念表现活跃，三江购物2连板。下跌方面，商业航天、可控核聚变等板块跌幅居前。其中商业航天概 念下挫，顺灏股份、中国卫通等多股跌停。截至收盘，沪指跌0.64%，深成指跌1.37%，创业板指跌 1.96%。 板块方面 消息面上，英伟达将在未来五年内与礼来共同投资10亿美元建立人工智能药物实验室。英伟达和礼来将 率先推动机器人技术和物理人工智能，加速和扩大医学发现与生产。 浙商证券研报指出，AI医疗应用在国家战略与市场需求共振下已进入商业化落地快车道。该机构认 为，AI制药的核心价值在于大幅提升药物早期研发效率，国内多家AI制药平台服务能力已居全球领先 地位，与AI制药平台有深度合作的传统CRO公司值得关注。 电网设备概念午后走强，特变电 ...

NO.2 商务部王文涛："十五五"将进一步扩大增值电信、外商独资医院领域开放试点 2025年12月29日，商务部王文涛作了"扩大高水平对外开放 促进普惠包容的经济全球化"的专题报告， 报告1月13日以问答形式摘要刊发。王文涛表示，"十五五"时期，将积极扩大自主开放。立足中国自身 发展需要、兼顾与世界良性互动需要，推进领跑更多的开放。对内，以开放促改革促发展。主动对接国 际高标准经贸规则，以服务业为重点，扩大市场准入和开放领域，进一步扩大增值电信、生物技术、外 商独资医院领域开放试点。 NO.3 工信部印发《推动工业互联网平台高质量发展行动方案（2026—2028年）》 每经记者｜杨建 每经编辑｜彭水萍 ｜2026年1月14日 星期二｜ NO.1 四川拟加密北斗卫星导航定位基准站，推进北斗高精度位置服务的应用 1月13日，《四川省"十五五"基础测绘规划 （征求意见稿）》公开征求意见。其中提到，加密北斗卫星 导航定位基准站，优化基准站网布局，全面提升基准服务覆盖范围和精度保障水平。推动北斗应用与基 准服务四川分中心软硬件升级改造，开展四川省北斗导航高精度基础数据中心市县级分中心建设，保障 全国卫星导航定位基准站" ...

最近，这则消息在西方世界引发了极大的关注。中国商务部新闻发言人何亚东在1月8日回应有关审查美国科技巨头Meta收购中国人工智能初创企业Manus的 提问时明确表示，商务部将会同相关部门，对这项收购进行评估，特别是在出口管制、技术进出口、对外投资等相关法律法规的合规性上开展调查。这一声 明无疑是给西方国家，尤其是美国，传递了一个明确的信号：中国正在对美国科技公司伸手触碰中国的人工智能人才和技术进行警告！商务部的这项调查也 体现了中国在面对美国科技巨头对人工智能技术兴趣时，竭力保护自身技术和人才的决心。 德国《商业内幕》评论指出，此次调查突显出中国在保护人工 智能领域人才和技术方面的战略意图。Manus，作为一家由人工智能工作室Butterfly Effect于2023年3月在中国创立的初创企业，因为其宣布开发一款"通用 型"人工智能代理而迅速引起了全球关注。该代理能够在极少人工干预下完成任务，并且在2025年中，这家公司将其总部迁至新加坡。去年12月，Meta宣布 计划收购Manus，并与中国完全断绝关系。据悉，这项交易的价值超过20亿美元（约合17亿欧元）。 长期以来，美国一直在通过多种方式限制中国的科技发展 ...

新浪声明：所有会议实录均为现场速记整理，未经演讲者审阅，新浪网登载此文出于传递更多信息之目 的，并不意味着赞同其观点或证实其描述。 责任编辑：李思阳 专题：第50届清华大学中国与世界经济论坛 第50届清华大学中国与世界经济论坛于1月13日在线上播出。北京大学智能学院教授林宙辰 表示，目前 所有的AI企业没有一家能盈利的，即使像Open AI，别看它每年营收100多亿美元，但是它投入更多， 它也是亏钱的。 "所以，我认为他们很快就会不可持续的，Open AI能不能挺过2026年，都是一个问题。而中国非常务 实，国家提倡AI+，把AI赋能到各个领域里面，把效能给提升上来，先赚到钱，然后再进行投入，滚动 起来。从长期来看，肯定我们这种模式是更加可持续的。"他说。 "所以，我认为他们很快就会不可持续的，Open AI能不能挺过2026年，都是一个问题。而中国非常务 实，国家提倡AI+，把AI赋能到各个领域里面，把效能给提升上来，先赚到钱，然后再进行投入，滚动 起来。从长期来看，肯定我们这种模式是更加可持续的。"他说。 新浪声明：所有会议实录均为现场速记整理，未经演讲者审阅，新浪网登载此文出于传递更多信息之目 的，并不 ...

炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 来源：刘煜辉的高维宏观 不执于相，不预设果，只在动态中观察、调整 在刚刚举办的"中国首席经济学家论坛年会"上，刘博提到，当前世界正处一场"超音速海啸级"变革之中 ——人工智能革命与G2国运博弈深度交织，不仅加速替代高知白领、重构经济底层逻辑，更有可能使 传统宏观理论失效；与此同时，美元霸权重振乏力，中国资产重估背后是战略博弈中的持续得分。回看 去年，刘博早已预判A股将突破4000点，并明确提示AI端侧是关键的结构性方向。 如今面对新一年的躁动行情，刘博始终坚信终局必是"东风压倒西风"，过程却需对西方科技与资源反扑 保持敬畏，真正的应对之道，不是预设结果，而是边走边看、因势而动，在动态变化中把握节奏、守住 方向。 前几天马斯克在超级工厂的访谈，相信不少人看了，我也深感震撼。他判断：当前全球正处在一场"超 音速海啸级"的变革中心。从经济学视角看，这一轮人工智能革命，正在彻底颠覆人类经济的传统生产 函数。 回看去年此时，我在年会演讲中曾指出一件事：西方世界的核心矛盾已发生根本转变。自特朗普当选以 来，其内部不再是阶级或利益之争，而是意识形态层 ...

Core Insights - Elon Musk emphasizes that humanity is at a critical juncture, with only 2000 days left for the old world, highlighting the urgency of technological advancements and the transition from carbon-based to silicon-based civilization [2][3]. Group 1: Key Predictions - The timeline for significant AI advancements includes: by 2026, AI intelligence will surpass the smartest human individuals; within 3 years, Optimus robots will outperform top surgeons; and by 2029, AI intelligence will exceed the total intelligence of all humans [4][5][6]. - Musk warns that the upcoming crisis will be related to transformers and electricity, asserting that China is leading in energy infrastructure, significantly outpacing the U.S. [7][22]. Group 2: Economic and Workforce Implications - The job market will undergo a major transformation, with white-collar jobs being the first to be affected by AI, while blue-collar jobs will face a delay until the mass production of Optimus robots [8][9]. - Musk predicts that traditional economic models will collapse, suggesting that saving for retirement will become irrelevant due to extreme deflation driven by AI and robotics [10]. Group 3: Technological Landscape - Musk believes that the semiconductor supply chain will become less relevant as physical limitations of chip manufacturing are reached, with China expected to overcome these challenges [11][31]. - The future bottleneck in computing power will shift to electricity and architecture, where both the U.S. and China will be on equal footing [12][32]. Group 4: Education and Societal Changes - Musk critiques the current education system, suggesting it will devolve into a social space as AI tutors become prevalent, rendering traditional knowledge acquisition obsolete [13][33]. - The future workforce will favor individuals who can effectively collaborate with AI, rather than those who excel in rote memorization [14][36]. Group 5: Competitive Landscape - Musk identifies three main players in the future AGI landscape: xAI, Google, and "China Inc." (the Chinese state), emphasizing that the competition will be defined by infrastructure, data, and national will [20][36]. - He suggests that only those who can harness national resources for infrastructure and talent will be able to compete effectively in the AGI arena [36][37].

Core Insights - The narrative around the AI industry is undergoing significant scrutiny as massive capital expenditures collide with stagnant revenue growth, raising concerns about a potential "bubble" [1] - There is a growing gap between substantial investments in AI and the actual commercial returns, leading to a shift in focus from technological optimism to financial pragmatism [2] Group 1: Investment and Market Performance - In the U.S. market, NVIDIA's stock has reached new highs, reflecting investor enthusiasm for its AI chip business, while companies like Microsoft, Google, and Meta show structural differences in stock performance [1] - In China, Alibaba's stock has hit multi-year highs, with Tencent and Baidu also showing active performance in AI-related stocks, indicating ongoing market interest in domestic AI applications and infrastructure [1] - Despite high valuations in the global capital markets for the AI industry, concerns about the sustainability of these valuations are becoming a focal point of discussion [1] Group 2: Profitability Challenges in ToB AI - The global enterprise AI market is experiencing an asymmetric cycle of investment and profitability, with major players like Amazon and Google facing challenges as they expand [3] - Amazon's AWS is projected to have a capital expenditure of $125 billion in 2025, primarily for AI data center expansion, but its profit margins are under pressure due to rising operational costs [4][6] - AWS's revenue and operating income showed signs of recovery in Q3 2025, but profitability remains sensitive to capital expenditure and customer purchasing cycles [7] Group 3: Google Cloud's Growth and Challenges - Google Cloud has positioned AI at the core of its growth strategy, achieving significant revenue growth, but concerns about the mismatch between capital expenditure and returns persist [8][10] - Despite high ROI cases reported, the majority of AI projects struggle to achieve measurable returns, with only 25% of enterprise AI projects meeting initial ROI goals [14][15] Group 4: ToC AI Market Dynamics - The consumer AI segment faces challenges in converting user growth into revenue, with only 5% of AI projects yielding measurable benefits [16] - OpenAI's ChatGPT is projected to have annual revenue exceeding $20 billion in 2025, but its operational costs are rising exponentially, leading to significant losses [17] - The user base for ChatGPT has grown rapidly, but the conversion rate to paid subscriptions remains low, highlighting a disconnect between user acquisition and monetization [20][23] Group 5: Commercialization and Long-term Perspectives - The current investment-return imbalance in AI is seen as a phase rather than a failure of technology, with the potential for long-term value creation through efficiency improvements across industries [25][26] - The AI industry's commercial path is expected to follow a "J-curve," indicating that current losses are part of a necessary accumulation phase before significant returns can be realized [26][27] - The ongoing challenges in both ToB and ToC segments are contributing to the narrative of an "AI bubble," but the long-term potential of AI technology remains intact [27][28]