11. 黑石集团Q4资金流入714.8亿美元，创三年多来最高水平；总资产规模达1.275万亿美元。 美股时段值得关注的事件： 21:30 美国至1月24日当周初请失业金人数/美国11月贸易帐 23:00 美国11月工厂订单月率/美国11月批发销售月率 6. 微软第二财季营收同比增长17%至813亿美元，云业务增速放缓；资本支出同比增长66%，达到创纪 录的375亿美元。 7. Meta Q4营收598.9亿美元、每股盈利8.88美元，受强劲的广告业务推动；Q1营收及全年资本支出指引 均超预期。 8. 特斯拉Q4营收同比下滑3%至249亿美元，经营利润14.1亿美元及毛利率20.1%超预期；马斯克宣布停 产Model S/ X，生产线转向制造人形机器人Optimus。 9. IBM Q4营收同比增长12%至196.9亿美元，AI业务累计订单额突破125亿美元。 10. 卡特彼勒Q4营收同比增长18%至191.3亿美元，调整后每股收益5.16美元，均超预期。 1. 美国三大股指期货齐涨，纳指期货涨0.21%，标普500指数期货涨0.25%，道指期货涨0.17%。 2. 欧股主要指数涨跌不一，德国DAX指数跌0.9 ...

2026.01. 29 本文字数：1311，阅读时长大约2.5分钟 据了解，DeepMind推出的基因解码工具AlphaGenome，可破解98%的基因"暗物质"，并且准确率 高达90%。 作者 | 第一财经 钱童心 1月29日，谷歌旗下人工智能公司DeepMind研究成果再登《自然》杂志封面。人工智能模型已经能 够解码人类基因。 这拓展了AI在基因领域的研究。据统计，AlphaGenome目前每天处理超过100万次API调用，用户 已经超过3000人，遍布160个国家/地区。研究人员已开始利用这一工具攻克生物学领域一些最棘手 的难题。 在今年年初举行的摩根大通医疗健康峰会上，行业高管提出，人工智能尚未完成药物开发中最具挑战 性的问题，即发现导致重大医学进步的新分子。AlphaGenome的问世有望帮助科学家们完成"最后 一块拼图"。 人类基因约有30亿个碱基，但其中只有不到2%的基因序列用于编码蛋白质，其余98%被称为非编 码区。然而，正是这2%的基因序列对调控基因的活性至关重要，并包含了大量与疾病相关的变异位 点。 据介绍，AlphaGenome能够同时对11种不同的基因调控过程进行综合预测，准确捕捉基因 ...

Market Overview - The Federal Reserve maintained the federal funds rate target range at 3.5%-3.75%, aligning with market expectations[9] - The Hang Seng Index closed at 27,827, down 2.58% for the day but up 8.57% year-to-date[3] - The S&P 500 index closed at 6,978, with a slight decrease of 0.01% for the day and a year-to-date increase of 1.94%[3] Stock Performance - Gold prices surged, with spot gold exceeding $5,280 per ounce, marking a monthly increase of over 22%[9] - Semiconductor stocks saw significant gains, with the Philadelphia Semiconductor Index rising by 2.34%[9] - Major tech stocks showed mixed results, with Intel up 11.04% and Microsoft down 6% post-earnings report[9] Sector Highlights - Oil stocks continued to rise, with Shanghai Petrochemical gaining over 5% due to geopolitical tensions driving oil prices up by 3%[9] - New consumer concept stocks performed well, with a snack retail chain soaring 69% on its debut[9] - Airline stocks faced pressure, with China Southern Airlines down 6.83% due to rising operational costs[9] Economic Indicators - The U.S. dollar index fell to 95.51, the lowest since February 2022, contributing to the rise in gold prices[9] - The Japanese yen strengthened, impacting export-related stocks negatively, with Toyota down 3.24%[13] - The Bank of Japan raised its policy rate to 0.75%, the highest in 30 years, indicating a cautious approach to future rate hikes[13]

Group 1: Meta Platforms (META) - Meta Platforms reported a fourth-quarter earnings beat, with shares up more than 7% premarket. The company forecasted first-quarter revenue between $53.5 billion and $56.5 billion, exceeding expectations of $51.4 billion, aided by a 4% tailwind from foreign currency [3][4]. Group 2: Microsoft (MSFT) - Microsoft experienced a decline of over 5% premarket despite reporting fiscal second-quarter results that surpassed estimates. The company earned an adjusted $4.14 per share, with revenue rising 17% year-over-year to $81.27 billion, or 15% in constant currency. Analysts had anticipated earnings of $3.91 per share on $80.31 billion in revenue [4][5]. - For Q3, Microsoft expects total revenue between $80.65 billion and $81.75 billion, indicating growth of 15% to 17% [5]. Group 3: Tesla (TSLA) - Tesla shares rose 2.9% premarket following a top- and bottom-line earnings beat, alongside a positive outlook on Cybercab and robotaxi growth. However, the company reported a quarterly revenue decline due to the end of government tax incentives and increased competition in Europe and China [5][6]. - In the fourth quarter, Tesla earned an adjusted profit of $0.50 per share, down 17% from the previous year but 5 cents above expectations. The company anticipates significant capital expenditures exceeding $20 billion in 2026 [6]. Group 4: Norway's Sovereign Wealth Fund - Norway's $2.2 trillion sovereign wealth fund reduced its stakes in major U.S. tech companies, including Nvidia, Apple, Microsoft, and Alphabet, during the second half of 2025. The fund cut its stake in Nvidia from 1.32% to 1.26% and in Microsoft from 1.35% to 1.26% [6][7]. - By year-end 2025, U.S. investments accounted for 52.9% of the fund's assets, up from 52.4% six months earlier [8].

"真武"的水平究竟有多高？对这个问题，我让Gemini大模型总结了主流英文媒体的报道，大致结论如下： 96GB显存、700GB/s片间互联，具备与H20类似的竞争力； 今天（2026年1月29日），对于中国AI产业，乃至中国芯片产业而言，是一个很有意义的日子：平头哥（阿里巴巴集团芯片业务主体）官网公布了一款名 为"真武810E"的高端AI芯片。在此之前，关于平头哥自研PPU的说法，早已在市面上广为流传，还曾登上《新闻联播》——其中出现的少量技术参数，引 发了国内芯片圈子的热烈讨论。现在，平头哥自研PPU"真武"，终于正式出现在外界视野之中了。 请注意：虽然这是"真武"的第一次公开亮相，但是在此之前，它早已投入实用了，规模还颇大：迄今已经在阿里云实现了多个万卡集群部署，服务了国家 电网、中科院、小鹏汽车、新浪微博……等各行各业的400多家客户。它不是一款停留在PPT上的芯片，也不是一款还在早期试用阶段的芯片，而是已经 扎扎实实地积累了大量客户案例、形成了一定的生态系统。早在半年多以前，我的一位阿里云的朋友就表示："我觉得平头哥自研芯片的水平不比市面上 的主流方案差。"当时我半信半疑，现在我差不多能理解他的自信了 ...

格隆汇1月29日｜Alphabet(GOOG.US)盘前涨1.9%，此前竞争对手Meta公司上调了年度资本支出计划。 ...

作者 | Big Technology Podcast 编译 | 王启隆 出品丨AI 科技大本营（ID：rgznai100） 如果说 Sam Altman 是 AI 时代的布道者，善于用宏大的愿景点燃公众的想象力；那么 Demis Hassabis 更像是一位在实验室里盯着显微镜的科学 家，冷静、严谨，对"炒作"有着天然的免疫力。 一年前，当整个硅谷都在因为 ChatGPT 的红利期似乎见顶而焦虑，甚至开始讨论"大语言模型（LLM）是否撞墙"时，Demis 却感到困惑。在他看来， 进步从未停止。他掌舵的 Google DeepMind 刚刚经历了 AlphaFold 3 的高光时刻，正试图将 AI 的触角从简单的聊天机器人延伸到生物学、物理学乃 至材料科学的最深处。 在达沃斯的一间木质会议室里，Demis 近期接受了 Big Technology 播客的专访。这场对话的特别之处在于，他没有回避那些尖锐的问题： 现在的 AI 是不是只有"金鱼记忆"？谷歌会不会为了财报在 Gemini 里塞满广告？所谓的 AGI 究竟是营销话术还是科学定义？ 最令人印象深刻的是他对"智能载体"的断言。在纪录片《The Think ...

Core Viewpoint - The National Highway Traffic Safety Administration (NHTSA) is initiating an investigation into a Waymo self-driving vehicle that struck a child near an elementary school in Santa Monica, California [1] Group 1 - The incident involves a self-driving vehicle operated by Waymo, a company specializing in autonomous driving technology [1] - The investigation by NHTSA highlights ongoing safety concerns regarding autonomous vehicles, particularly in school zones [1] - This event may impact public perception and regulatory scrutiny of self-driving technology [1]

黄金已经涨疯了！ 今早，COMEX黄金一度突破5600美元，伦敦金现逼近5600美元，前者在短短4个交易日内，连破7道整百关口，涨势之迅猛引发全球关注。 但斌此时转发了一篇分析"历史上黄金白银暴涨后惨烈结局"的短文，被网友反击："吃不上葡萄说葡萄酸。" 对此，他再次回应："我不酸！我对黄金没有太多研究。" 其中的观点是：黄金是保值资产，价格反映的是阶段性的供求变化，长期跑不赢生息资产。 对于近两年地缘冲突对黄金投资价值的影响，但斌认为这不好评估。 "黄金，我们其实没有太关注，就像巴菲特说的，黄金就是保值，其实过去200年黄金就是保值，因为它不是生息资产，长期跑不赢生息资产， 所以我们倒没有太买这些东西。这两年它又加了一个地缘政治问题，你想我们央行买了这么多、全世界都在买黄金，可能会导致阶段性的变 化，也行未来两年，惊涛骇浪来了呢？那它可能又涨，这个东西不好说。" 对于但斌更好看的生息资产，恰好其执掌的东方港湾海外基金最新美股持仓曝光，四季度大动作不断，最大的亮点是谷歌超越英伟达，成为第一大重仓 股。 截至2025年末，东方港湾海外基金共持有10只美股标的，持股市值合计13.16亿美元，折合人民币超91亿元。 ...

Core Viewpoint - The current interest in artificial intelligence (AI) is characterized as a bubble, with expectations of significant future losses for most investors [2]. Group 1: Historical Context of Technology Bubbles - Numerous technology bubbles have occurred throughout history, with revolutionary innovations often leading to greater speculative bubbles [3]. - Historical examples include the British railway mania, the internet boom, and the SPAC bubble, which share common characteristics that can be applied to the current AI situation [3][4]. Group 2: Characteristics of the Current AI Bubble - The emergence of AI has generated extravagant claims, with proponents suggesting it will solve major global issues and transform economies [9]. - There is a climate of easy money, with low interest rates encouraging speculative investments in AI, similar to past bubbles [11][12]. - Investor optimism is high, with significant disparities between investor sentiment and general public sentiment, driven by economic inequality [19][22]. - A surge in publications and media coverage promoting AI has created a narrative that fuels speculation, reminiscent of past technological manias [25][23]. Group 3: Investment Trends and Valuations - AI startups raised over $200 billion in 2025, with significant capital flowing into private markets rather than public equity [32][33]. - Valuations in the AI sector are extremely high, with companies like OpenAI and Anthropic seeing massive increases in their valuations [41]. - The current market cap to GDP ratio and cyclically-adjusted price-to-earnings (CAPE) ratios indicate that U.S. equities are overpriced, with the CAPE reaching 40 [34][40]. Group 4: Risks and Challenges - The AI technology remains immature, with many experts doubting its ability to achieve artificial general intelligence (AGI) in the near future [42][46]. - There is a significant overcommitment of capital in the AI sector, leading to concerns about future returns and profitability [49][53]. - Unscrupulous behavior and dubious accounting practices are present in the AI ecosystem, reminiscent of past bubbles [54][59]. Group 5: Potential Outcomes - The investment boom in AI may be nearing its end, with signs of financial strain among major players and rising costs impacting profitability [65][66]. - Historical patterns suggest that once the bubble bursts, significant corporate bankruptcies and a shakeout phase will follow, leading to a consolidation in the industry [61][62].