近日，但斌执掌的东方港湾海外基金向美国证监会（SEC）提供了2025年四季度的13F文件，其美股的最新持仓情况浮出水面。 截至2025年末，东方港湾海外基金清仓了阿里巴巴、奈飞 （Netflix） 、Coinbase等7只股票，持仓标的锐减至10只。期末管理规模约为13.16亿 美元，折合人民币约91亿元，较去年三季度末的12.92亿美元小幅增长。 去年四季度，但斌的调仓动作颇为显著，持仓进一步向科技巨头集中，尤其是大幅加仓谷歌，一举成为其第一大重仓股。 | Stock ↑ | History | Sector | Shares Held or | Market | % of | Previous % of | Rank | Change in | % | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | Principal | Value | Portfolio | | | | Change | | | | | Amt | | | Portfolio | | Shares | | | GOOG | History | ...

前言 《电报解读》是一款主打时效性和专业性的即时资讯解读产品。侧重于挖掘重要事件的投资价值、分析 产业链公司以及解读重磅政策的要点。即时为用户提供快讯信息对市场影响的投资参考，将信息的价值 用专业的视角、朴素的语言、图文并茂的方式呈现给用户。 ①存储芯片+英伟达，用于DDR的产品已进入小批量测评，芯片元件产品已批量用于英伟达GPU，这家公 司产品获得数据中心、AI-GPU等领域客户认可。 ②端侧AI+光通信+谷歌，这家公司是谷歌Gemini AI端 侧硬件核心芯片供应商，布局FTTR光纤技术，构建多维通信矩阵助力端云互联。 ...

Core Insights - The SAT preparation market is experiencing a significant shift as Google's Gemini AI introduces a free full-length practice test feature, which allows users to generate complete mock exams and receive instant feedback, error analysis, and personalized learning suggestions [1][2] - This change indicates a potential revaluation of standardized tutoring services, as the most scalable and standardized parts of the preparation process are now accessible at a lower cost, impacting the pricing logic of traditional tutoring services [2][5] Group 1: Changes in SAT Preparation - The expensive components of SAT preparation are not just the answers to questions but the entire service chain that includes full-length mock exams, error diagnosis, and learning schedule management [2][4] - Gemini's free SAT feature integrates mock testing, feedback, and content supply into a unified platform, challenging traditional high-cost tutoring models [2][4] Group 2: Impact on the Tutoring Industry - The introduction of free AI tutoring tools is expected to pressure the mid-tier products in the SAT preparation market, such as subscription-based question banks and standardized explanation courses, which are highly standardized and easily replaceable [5][6] - Companies like Chegg are already feeling the impact of AI competition, leading to layoffs and business restructuring as students shift towards free AI tools for learning support [6] Group 3: Educational AI Competition - The competition in educational AI is intensifying, with other platforms like OpenAI and Khan Academy also enhancing their AI offerings to provide more integrated learning support [7] - The shift towards process-oriented learning support indicates that platforms are not just competing on AI capabilities but also on how they engage students in their learning journeys [7] Group 4: Future of Standardized Testing - The introduction of free AI tutors raises questions about how learning outcomes will be reliably measured, as the tools can provide extensive support but do not inherently validate student capabilities [11][12] - The educational system will need to redefine the boundaries of AI usage in testing and teaching, ensuring that certain aspects remain independent of AI tools to maintain the integrity of assessments [11][12]

一串长达百万碱基的非编码 DNA 序列，曾如天书般无从解读，如今其调控功能与变异影响皆可被精准预测；一个与癌症相关的罕见突变，曾让病因成 谜，现在却能通过序列分析直接揭示其激活致病基因的全过程。 这都得益于登上权威科学期刊 Nature最新封面的统一 DNA 序列模型 AlphaGenome，这是 Google DeepMind Alpha 系列 AI 的新成员。 AlphaGenome 是一个能够统一预测长 DNA 序列功能的深度学习模型。它突破了以往技术的诸多限制，能够一次性处理长达 100 万个碱基对的 DNA 序 列，并以极高的分辨率精准预测数千种与基因调控相关的分子信号。 更令人振奋的是，AlphaGenome 不仅能"读懂"基因组，还能在短短一秒内评估出遗传变异对多种生物过程的影响。 论文链接：https://www.nature.com/articles/s41586-025-10014-0 为了推进科学研究，AlphaGenome 现已向全球科研界开放：研究人员可以通过 AlphaGenome API 进行非商业研究，并且可以在 GitHub 上访问模型代码 和权重。 这一突破引发了学界的高度 ...

AI正在重塑人机交互范式——用户从搜索关键词转向直接向聊天框提问。据Gartner预测，到2026年，25%的在线搜索将通 过AI聊天机器人完成。面对资本市场的回报压力，AI厂商亟需证明其商业价值，广告成为最直接的变现路径。 2026年1月，谷歌和OpenAI相继宣布，将在其人工智能工具中推送广告，并在一定范围内开始试水。Meta早在2025年10月 已经公开表示，用户与Meta AI的互动将很快被用来投放个性化广告，并据此修改了隐私协议。 然而，广告的性质却与AI的形象和承诺具有结构性冲突。一个被认为可以超越人类偏见、高效获取信息的"超级大脑"，突 然预装了"推销员"指令，客户将感受到某种不适，甚至是"背叛"。这就像你本来想跟一位专家请教知识，甚至期待一次顿 悟时刻，结果却被套路，买了一款专家能从中抽成的产品。现代人并不惧怕形形色色的营销和广告，但在"求知"中被推 销，却可能严重侵蚀用户对AI刚刚建立起的信任。 更重要的是，广告是否和如何植入AI，将成为各路厂商历史性选择的一个岔路口——AI产品的本质和终极价值是什么？将 广告信息融入大模型之中，究竟是系统性升级还是降级？它对人类生活是有益还是毒害？ 一、谷 ...

Core Points - Google has agreed to two settlements totaling over $200 million related to allegations of unauthorized data collection and privacy violations [1][2] - The settlements require judicial approval and Google has denied any wrongdoing in both cases [2][3] Android Data Settlement - Android users accused Google of collecting cellular data without permission, even when users closed apps or disabled location-sharing [4] - The proposed settlement amount is $135 million, which is believed to be the largest payout in a conversion case, with individual payments capped at $100 per class member [5] Google Assistant Settlement - Users of Google Assistant claimed that the service illegally recorded private conversations and used them for targeted advertising [5][6] - The settlement for this case amounts to $68 million and covers users affected by "false accepts" since May 18, 2016 [7]

Analyst’s Disclosure: I/we have a beneficial long position in the shares of GOOG either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article. Seeking Alpha's Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any i ...

Google said on Wednesday it has taken action to remove domains belonging to one of the largest residential proxy networks in the world, called IPIDEA, in an effort to protect millions of consumer devi... ...

Market Overview - US stock market showed mixed results as investors digested the latest Federal Reserve interest rate decision, with the Dow Jones increasing by 12.19 points (0.02%) to 49,015.60, and the Nasdaq rising by 0.17% to 23,857.45, while the S&P 500 slightly declined by 0.01% to 6,978.03, marking an intraday historical high above 7,000 points [3] Technology Sector Performance - Star tech stocks exhibited divergence, with Nvidia rising by 1.59%, Google by 0.38%, and Microsoft by 0.22%. In contrast, Tesla fell by 0.10%, while Meta, Amazon, and Apple dropped over 0.6%, with Apple down by 0.7% and Oracle down by 1.20% [4][5] - The Nasdaq China Golden Dragon Index increased by 0.32%, with Alibaba up by 1.70%, NetEase by 1.46%, and Baidu by 0.02%. However, JD.com fell by 0.92% and Pinduoduo dropped by 3.84% [4] Semiconductor Sector Insights - The Philadelphia Semiconductor Index rose by 2.3%, with Intel increasing by 11.04% and Texas Instruments by 9.9%. However, ASML saw a decline of 2.1% despite reporting record net sales of €9.7 billion for Q4 2025, exceeding market expectations [6] - ASML's order volume reached €13.2 billion, double the analysts' average forecast, and the company raised its sales outlook for 2026 to between €34 billion and €39 billion, compared to the analysts' expectation of €35 billion [6] Federal Reserve and Economic Indicators - The Federal Reserve decided to maintain interest rates, citing robust economic expansion and signs of stabilization in the unemployment rate. Fed Chair Jerome Powell indicated that current monetary policy is not significantly tight [6][7] - The current inflation level is slightly above the Fed's target, while unemployment has risen, creating a contradiction that keeps the Fed's policy stance neutral until data changes necessitate a clear choice [7] Commodity Market Movements - Precious metals saw strong gains, with COMEX gold futures for January delivery rising by 4.36% to $5,301.60 per ounce, and silver futures increasing by 7.19% to $113.11 per ounce [8]

Core Insights - The article discusses the evolution of AI models, particularly focusing on the rise of reasoning models and their impact on decision-making processes, highlighting a shift from OpenAI's dominance to emerging Chinese models [1][3][25]. Group 1: Reasoning Models - OpenAI initiated a "reasoning revolution" in September 2024 with the launch of models like o1 and o1-mini, which have since become a standard feature across major AI labs [3]. - By 2025, every notable AI lab released at least one reasoning model, with some offering hybrid models that can switch between reasoning and non-reasoning modes [4][5]. - The true value of reasoning models lies in their ability to drive tools, enabling multi-step task planning and execution, significantly improving AI-assisted search capabilities [5][6]. Group 2: Programming Agents - 2025 is characterized as the year of programming agents, with the release of Claude Code marking a significant advancement in this area [11][12]. - Programming agents can write, execute, and debug code, demonstrating exceptional performance in identifying bugs within complex codebases [7][10]. - The CLI programming agent model gained traction, with various labs launching their own versions, indicating a growing interest in command-line access to AI models [13][17]. Group 3: Subscription Models - The emergence of subscription plans, such as Claude Pro Max at $200 per month and OpenAI's ChatGPT Pro, has generated substantial revenue, although specific user data remains undisclosed [23][24]. - Users have expressed willingness to pay higher subscription fees for advanced capabilities, particularly when engaging in more complex tasks that consume tokens rapidly [24]. Group 4: Chinese AI Models - In 2025, Chinese AI labs made significant strides, with models like GLM-4.7 and DeepSeek gaining prominence, leading to a shift in the global AI landscape [25][28]. - The release of DeepSeek 3 in late 2024 triggered a market reaction, causing a significant drop in NVIDIA's market value, highlighting the impact of Chinese models on investor sentiment [28]. Group 5: Long Tasks and Image Editing - AI models have shown remarkable progress in handling long-duration tasks, with capabilities doubling approximately every seven months, as evidenced by the performance of models like GPT-5 and Claude Opus 4.5 [31][33]. - The introduction of prompt-driven image editing features in ChatGPT led to a rapid increase in user adoption, showcasing the potential for consumer-level applications [34][35]. Group 6: Competitive Landscape - OpenAI's position as a leader in the LLM space is being challenged by competitors like Google Gemini, which has released multiple iterations of its models with competitive pricing and capabilities [46][47]. - The competition is intensifying, particularly in image generation and programming capabilities, with Google leveraging its proprietary TPU hardware to enhance model performance [47][48].