据华尔街日报报道，交易员们正押注科技巨头的巨额AI投资将无法获得对等回报。从做空芯片制造 商、做空科技巨头债务，到针对非上市初创企业进行场外对赌，华尔街正在搜寻一切可能的手段，对冲 AI狂热带来的潜在风险。 沉睡三年的AI空头正在苏醒。随着人工智能狂热将股市推向令人眩晕的高度，持怀疑态度的投资者正 积极寻找获利途径，以应对他们眼中不可避免的市场洗盘。 在直接做空股票方面，甲骨文成为了空头的核心目标之一。据FactSet数据，截至1月30日，甲骨文超过 2%的股份被做空，高于一年前约1.5%的水平。这反映出市场对该公司今年计划筹资多达500亿美元以 建设AI基础设施的担忧。 甲骨文与OpenAI之间价值3000亿美元的算力销售协议，也使其成为做空者的替代标的。"做空甲骨文就 是做空OpenAI，"Michael O'Rourke表示。 与此同时，部分投资者开始针对AI供应链上的衍生企业建立空头头寸。知名做空投资者Jim Chanos近期 做空了可再生能源公司Ormat Technologies。该公司近期与谷歌达成协议，为其在内华达州不断扩张的 业务提供地热发电。Jim Chanos向客户表示，鉴于高昂的成本， ...

Anthropic这两天又成了风口浪尖。 前脚刚因为指责国内公司「蒸馏」数据，被AI圈广泛群嘲。 就连马斯克都忍不住开怼： 你们自己训练模型时不也未经许可窃取版权书籍，还赔了十几亿美元和解金？贼喊捉贼啊！ 后脚就又搞出大事。 要知道，过去半年Claude已经两次把全球SaaS公司吓得魂飞魄散。 第一次，Cowork上线法律工具，软件板块市值蒸发万亿； 第二次，Claude Code Security剑指代码安全，网安板块集体崩盘。 | Ticker | | Company | Price | Market Cap | P/S | P/E | % YTD Chart 1Y | % 1Y | A 52w High | RS Rank 1M 20SMA 50SMA 200SMA | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | FIG | Figma | | $27.19 | $13.58 | 13.91 | n/a | -28.62% | 16 85 | -80.98% | V | A | ...

Core Viewpoint - Advanced Micro Devices Inc. (NASDAQ:AMD) is currently viewed as a strong investment opportunity due to its partnerships and growth in AI demand, particularly in the GPU market [1][2][4]. Group 1: Analyst Ratings and Price Targets - Evercore ISI raised its price target for AMD to $358 from $328, maintaining an Outperform rating, reflecting increased estimates due to a new partnership with Meta [1]. - Baird analyst Tristan Gerra reiterated an Outperform rating with a $300 price target, highlighting robust AI demand and GPU momentum as key growth drivers [2]. Group 2: Market Developments and Product Strength - Baird noted continued strength in AI GPU demand, with the resumption of Mi308 sales and confirmation that the Mi450 product and OpenAI partnership are on track [4]. - The firm expressed optimism regarding significant upside for 2026 AI unit forecasts and expected market share gains from the Mi450 ramp [4]. Group 3: Company Overview - Advanced Micro Devices Inc. operates in three segments: Data Center, Client & Gaming, and Embedded, positioning itself as a key player in the semiconductor industry [4].

Core Insights - The article highlights the unconventional path of Keller Jordan, who secured a position at OpenAI without a PhD or traditional research background, emphasizing the importance of open-source projects and practical contributions in the AI field [1][3]. Group 1: Keller Jordan's Journey - Keller Jordan graduated from UCSD in 2020 with dual degrees in mathematics and computer science, without having published any papers [5]. - His first job was at an AI content moderation startup, where he began to explore improvements in existing research [5]. - After reaching out to Google researcher Behnam for guidance, he collaborated on a project that led to a paper presented at ICLR [8]. Group 2: Contributions to AI Research - Keller's work on "NanoGPT speed run" significantly improved the training efficiency of Transformer models, achieving a 3.8 times increase in token efficiency, reducing the required tokens from approximately 10 billion to 2.7 billion [9][10]. - The design of the speed run was innovative, allowing for low-cost experimentation, with a single attempt costing as little as $8, making it accessible for individual researchers [12][13]. Group 3: Development of Muon - Keller developed an optimizer named Muon, which optimized the hidden layers of neural networks, achieving record training speeds for NanoGPT and CIFAR-10 [14][19]. - Muon demonstrated superior performance compared to the widely used AdamW optimizer, particularly as model sizes increase, indicating a potential breakthrough in AI model training [19]. Group 4: Entry into OpenAI - Keller officially joined OpenAI in December 2024, following the success of Muon in the developer community [20]. - He expressed a preference for continuing his research over publishing a paper, criticizing the prevalence of low-quality optimization papers in the field [21]. Group 5: Other Success Stories - The article also mentions other individuals who have successfully transitioned into major AI companies without traditional academic credentials, such as Sholto Douglas at Google DeepMind and Andy Jones at Anthropic, highlighting a trend of talent recognition based on practical contributions rather than formal publications [23][25][28].

掌管OpenAI命运的，竟是6个波兰天才？ OpenAI首席科学家Jakub Pachocki，接替Ilya之后，完成了后者多年来求而不得的突破。 奥特曼甚至专门发了一篇短文，提到OpenAI两位不可或缺的人物：Jakub Pachocki和Szymon Sidor。 奥特曼认为他们两人是天作之合，「OpenAI还没有他们两人没法解决的问题」，没有他们俩就没有现在的OpenAI。 你可能不知道的是两人在波兰读高中就已经认识，而网友Teortaxes抛出一张OpenAI团队合影，波兰人浓度爆表── OpenAI团队中六位顶级贡献者均为波兰人，从左到右分别为Jakub Pachocki、Łukasz Kaiser、Łukasz Kondraciuk、Szymon Sidor、Wojciech Zaremba、Jerry Tworek。 其中的Wojciech Zaremba，是OpenAI的十一位联合创始人之一。 在OpenAI成立之初，波兰工程师在团队中占据了相当大的比例，其中就有上面提到的Jakub Pachocki、Szymon Sidor、Łukasz Kondraciuk等人。 他们成为OpenAI最初 ...

A federal judge has tossed xAI’s trade-secrets case against OpenAI, ruling that Elon Musk’s startup didn’t plead enough facts tying OpenAI itself to any theft—while still leaving the door open for xAI to try again. U.S. District Judge Rita F. Lin granted OpenAI’s motion to dismiss with leave to amend, finding that xAI’s allegations largely focused on former employees’ behavior rather than misconduct by OpenAI, the sole defendant. xAI filed the lawsuit last September, accusing OpenAI of orchestrating a " ...

当地时间2月23日，美国大模型公司Anthropic发布官方声明，称旗下大模型Claude遭到了中国模型企业DeepSeek（深度求索）、Moonshot（月之暗面）、 MiniMax（稀宇科技）的"非法提取（illicitly extract）"。 2026开年不到3个月，这已是国产模型第二次陷入此类争议。2月上旬流出的一份OpenAI备忘录曾写道，DeepSeek正借助ChatGPT及其他美国领先AI模型 来进行自身训练。 而本次Anthropic则披露了更多数据，据称三家中国企业以约 2.4万个欺诈账户与Claude进行了超1600万次互动，并以这些对话信息作为训练素材、改进了 国产模型的性能。 点名三家企业隔天，Anthropic即开展了一场直播，展示Claude的最新能力。 与此同时，受到指控的国产三小龙则一片"静悄悄"。迄今，DeepSeek、MiniMax、MoonShot对此均无回应。 三小龙撞上最"MAGA"的美国大模型 根据Anthropic声明，DeepSeek、Moonshot、MiniMax所采用的技术手段名为"蒸馏（distill）"。 这种模型训练手段可追溯至2015年，最早由诺 ...

Jason Kwon, the Chief Strategy Officer of OpenAI, took to X to express his thoughts on the recent dismissal of a lawsuit filed by xAI against OpenAI. The lawsuit, which alleged that OpenAI orchestrated a scheme to poach eight xAI employees in 2025 to steal its trade secrets and source code, was dismissed by a U.S. district judge.Judge Dismisses Lawsuit, Citing Lack of EvidenceIn a post on Tuesday, Kwon suggested that the lawsuit was a reaction to Musk’s “0% chance of success” comment when he left OpenAI. Th ...

2026 年 02 月 25 日 LLaDA2.1 实现技术突破，Gemini3.1Pro 树立 多模态新标准 推荐(维持) 投资要点 分析师：任春阳 S1050521110006 rency@cfsc.com.cn 行业相对表现 表现 1M 3M 12M 计算机(申万) -5.4 5.5 3.4 沪深 300 0.7 5.5 20.6 市场表现 -30 -20 -10 0 10 20 30 (%) 计算机 沪深300 资料来源：Wind，华鑫证券研究 相关研究 1、《计算机行业周报：字节跳动 Seedance2.0 重 磅 上 线 ， ClaudeOpus4.6 发布》2026-02-10 2、《计算机行业点评报告：亚马逊 （AMZN.O）：AI 基础设施与零售网 络共振，资本开支周期驱动长期增 长》2026-02-08 3、《计算机行业点评报告：苹果 （AAPL.O）：营收利润双增长， iPhone 与服务业务表现亮眼创历史 新高》2026-02-05 ▌ 算力：算力租赁价格平稳，扩散语言模型 LLaDA2.1 实现技术突破 2026 年 2 月，LLaDA2.1 扩散语言模型正式发布，含 160 亿、 ...

粒子物理十年无新发现，LHC成了「标准模型的坟场」。但Anthropic联创、哈佛物理博士Jared Kaplan却断言：再过2-3年，AI就能写出媲美顶尖物理学 家的论文，50%物理学家或将被彻底取代！ 物理学界与科技圈地震! Anthropic联创、前物理学大牛Jared Kaplan放话：两到三年内，理论物理学家有50%概率被AI取代！ 要知道，他博士毕业于哈佛大学物理学，同时是JHU的理论物理学教授，又是Anthropic的首席科学官。 对于AI和理论物理学，他都是行家，他的判断绝非无的放矢，白费口舌。 Kaplan引用内部研究与模型进展指出，未来2–3年内，AI在理论推导、数值模拟、公式发现和实验设计等核心科研环节中的能力，将逼近甚至超过大量人 类研究者。 他评估，至少有50%的物理学家工作内容，存在被AI替代或边缘化的明显风险。 替代50%理论物理学家，菲尔兹奖得主亦不例外 自2012年希格斯玻色子（即「上帝粒子」）被发现后，大型强子对撞机（LHC）的实验数据一直严格符合已有理论「标准模型」的预测，没有发现任何预 期之外的新粒子或新物理现象。 戏剧性并非源于希格斯粒子；当它在LHC现身时，其存在已 ...