Core Insights - Wall Street analysts are focusing on the "Magnificent Seven" stocks, with projections indicating that one of these stocks could be the biggest winner in 2026 [2] Losers and Laggards - Tesla is projected to be the biggest loser in 2026, with less than half of the 47 analysts rating it as a "buy" or "strong buy," and an average 12-month price target 12% below its current share price [4][5] - Apple is also facing skepticism, with 29 out of 48 analysts recommending it as a "buy" or "strong buy," but the consensus price target shows minimal upside potential [6] - Alphabet's stock is rated positively by 56 out of 65 analysts, yet the average 12-month price target is only 5% above its current share price, indicating limited growth expectations [7] Wall Street's Winners - Despite some expected losers, analysts anticipate that several stocks within the "Magnificent Seven" will perform well in 2026 [8] - Amazon is projected to have a significant upside potential of approximately 28% over the next 12 months, with 64 out of 67 analysts rating it as a "buy" or "strong buy" [10]

机器之心报道 机器之心编辑部 随着通用型（Generalist）机器人策略的发展，机器人能够通过自然语言指令在多种环境中完成各类任务，但这也带来了显著的挑战。 一方面，真实世界评估成本极高，需要系统性地覆盖常规场景、极端情况、分布外（OOD）环境以及各类安全风险，通常需要进行成百上千次真实硬件实验，不 仅耗时、昂贵，还可能存在操作风险。 1）在闭环、动作条件生成中容易产生伪影； 2）对接触动力学（如物体接触、碰撞）的仿真十分困难； 3）现代策略架构对多视角一致性提出了较高要求，而这在视频生成中并不容易满足。 论文地址：https://arxiv.org/pdf/2512.10675 另一方面，安全性评估尤为棘手，许多潜在的不安全行为（例如误夹人手、损坏设备或引发环境危险）本身就不适合在真实环境中反复测试，使得传统的硬件评 估方法在安全场景下往往难以实施。 传统的物理仿真器虽然有帮助，但在真实感、多样性、搭建成本和视觉一致性方面仍存在明显瓶颈。 另外，前沿视频模型为世界仿真提供了一种替代路径，有望解决前文提到的诸多挑战。然而，要真正发挥这一潜力面临很多困难，主要原因包括： 项目主页：https://veo-ro ...

Core Insights - The article discusses Google's journey from its inception to its current challenges in the AI space, highlighting mistakes made and opportunities missed, particularly in relation to OpenAI's rise [1][2][5][26]. Group 1: Google's History and Development - Google was founded by Sergey Brin and Larry Page, initially focusing on a project called BackRub, which evolved into the Google search engine [10][16][19]. - The name "Google" reflects their ambition to organize vast amounts of information, derived from a mathematical term representing a large number [21]. - Google fostered a strong academic environment, attracting top talent and focusing on foundational research, which laid the groundwork for its future innovations in AI [22][25]. Group 2: AI Strategy and Mistakes - After the release of the Transformer model, Google underestimated the potential of AI and failed to allocate sufficient resources, allowing OpenAI to capitalize on the opportunity [26][29]. - Despite setbacks, Google's long-term investments in AI research and development, including the creation of specialized TPU chips, have helped maintain its technological edge [30][29]. Group 3: Future Directions and Recommendations - Sergey Brin emphasizes the importance of leveraging AI in various aspects of life and encourages students to pursue computer science, as coding skills remain crucial for developing better AI [32][35]. - He suggests that quantum computing and materials science are undervalued future technologies that could have significant impacts, particularly in conjunction with AI [37]. - Brin advises against prematurely commercializing ideas without adequate preparation, using the example of Google Glass to illustrate the importance of refining concepts before market introduction [42][45].

近期，英伟达、甲骨文和博通等公司相继发布了强劲的季度业绩，但其股价却出现显著下跌。这一现象引发了市场对人工智能投资热潮可持续性的广泛关 注。 上周五，甲骨文、英伟达及博通等自2022年末以来深度参与AI投资的公司股价集体下挫。Callodine Capital Management的首席执行官Jim Morrow表示：市场 正处在"关键时刻"。"故事讲得很好，逻辑也通顺，但现在到了检验投资回报是否足够好的重要节点。"他说道。 这种焦虑情绪的核心在于，高昂的AI应用开发与训练成本，能否通过大规模落地产生足够的商业回报，以及企业和消费者是否愿意持续为相关服务买单。 甲骨文的情况尤为典型，该公司披露其剩余履约义务同比激增438%至5230亿美元，其中约3000亿美元来自与OpenAI的长期算力采购协议。然而，为支撑此 类订单所需的巨额资本开支，给公司现金流带来了压力。与此同时，衡量其信用风险的信用违约互换价格已升至2009年以来的最高水平。甲骨文发言人表 示，公司对履行义务和未来扩张计划的能力充满信心。 OpenAI自身的财务状况也加剧了市场的担忧。有报道称，该公司预计到2029年前将累计消耗1150亿美元资金，并 ...

Core Insights - Alphabet Inc. is expected to realize a significant paper gain due to a new SpaceX tender offer that increases the private company's implied valuation [1] - The transaction prices insider shares significantly higher than previous secondary sales, which will enhance the carrying value of Alphabet's long-held stake in SpaceX [1]

三年前，OpenAI发布了火爆一时的ChatGPT，引发了人们对人工智能（AI）的狂热。尽管资金仍在源 源不断地涌入，但人们也愈发质疑这股热潮能否持续下去。 从近期英伟达股票遭到抛售，到甲骨文公司在报告AI支出增加后的股价暴跌，再到围绕OpenAI相关公 司的市场情绪恶化，种种迹象表明，投资者对AI的怀疑情绪正在加剧。 展望2026年，华尔街上关于AI泡沫的激辩开始变得不同了。他们普遍确信那就是个泡沫，并开始争论 最终戳破泡沫的会是什么，以及是在潜在的泡沫破裂之前控制AI风险敞口，还是冒险加倍下注，利用 这项改变游戏规则的技术。 资本管理公司Callodine Capital Management首席执行官Jim Morrow表示："我们正处于经济周期的关键阶 段。这是一个很好的故事，但我们现在有点急于观望，看看投资回报是否会很好。" AI交易的令人不安之处包括它的商业化应用、开发它的巨大成本，以及消费者最终是否会为这些服务 付费。这些答案将对股市的未来产生重大影响。标普500指数近三年的牛市在很大程度上是由谷歌和微 软等科技巨头，以及芯片制造商英伟达和博通等受益于AI基础设施支出的公司推动的。如果它们停止 ...

最近一段时间，无论是在硅谷还是国内， 太空数据中心 都是热议的焦点之一。 而马斯克，更是凭一己之力扛起宣传大旗，—连几条推文无不与此相关。 先是确认SpaceX未来将在太空部署数据中心： 一水 发自 凹非寺 量子位 | 公众号 QbitAI 太空，成为了AI基建新的必争之地。 后又在谷歌宣布太空数据中心计划时留下"Interesting"这样的评论，明确肯定了谷歌的眼光。 同时在接受公开采访时表示： 地球只接收到太阳能量的20亿分之一，如果想要产生相比地球来说多几个数量级的能量，你必须进入太空。 未来4~5年内，在太空部署和运行大规模AI系统的成本可能比在地球上运行同类系统更具成本效益。 …… 显而易见，敢想敢拼的马斯克，正在将太空数据中心作为AI基建的下一块试验田。 不止是他。 包括亚马逊贝佐斯、谷歌前CEO施密特等也在纷纷谈论和布局。 所以这太空数据中心究竟为何物？又为何吸引一众硅谷大佬的目光？ 来听他们是怎么说、怎么做的—— 马斯克带头，硅谷刮起了"太空数据中心风" 关于硅谷最近刮起的"太空数据中心风"，The Information是这样吐槽的： 每隔一段时间，科技界的知名人物就会开始如此积极地炒作同 ...

Alphabet Inc.’s Google has signed a solar power agreement in Malaysia, as the tech giant looks to secure clean electricity for its operations globally. Google will buy power from a 30-megawatt solar farm developed by a consortium led by a local unit of Shizen Energy Inc., the Japanese company said in a statement on Monday, confirming an earlier report by Bloomberg News. The project in Malaysia’s Kedah state is part of the nation’s push to provide green power to companies and is expected to start operations ...

Group 1 - Wall Street's skepticism towards AI investments is increasing, with signs of a potential bubble emerging as companies like Nvidia and Oracle face stock sell-offs and declining market sentiment around OpenAI-related enterprises [1][2] - OpenAI plans to invest $1.4 trillion over the next few years, but its revenue is significantly lower than its operating costs, leading to an expected loss of $115 billion by 2029 and not achieving positive cash flow until 2030 [1] - Major tech companies, including Alphabet, Microsoft, Amazon, and Meta, are projected to spend over $400 billion on capital expenditures in the next 12 months, primarily for data center construction, but their revenue growth from AI is insufficient to cover these costs [2] Group 2 - The depreciation costs associated with the data center boom are rising, with Alphabet, Microsoft, and Meta's total depreciation costs increasing from approximately $10 billion in Q4 2023 to nearly $22 billion in September, and expected to reach $30 billion by next year [2] - Despite high valuations, tech stocks are not as overvalued compared to past market booms, with the expected P/E ratio of the Nasdaq at 26 times, significantly lower than the over 80 times during the internet bubble [2] - The disparity between massive investments and actual returns raises concerns, yet stock prices have not reached panic-inducing levels, creating a dilemma for investors [3]

Core Insights - The AI landscape in 2025 is characterized by intense competition among major players, with OpenAI, Anthropic, and Google DeepMind leading the charge with their advanced models [1][2][10]. Group 1: OpenAI Developments - OpenAI's GPT-5.2 is positioned as the strongest model for professional knowledge work, featuring significant improvements in reasoning, programming, and agent tasks [2][5]. - GPT-5.2 supports an input window of 400,000 tokens and an output length of 128,000 tokens, allowing it to process extensive documents and generate comprehensive reports [2][3]. - The model is categorized into three tiers: Instant, Thinking, and Pro, balancing speed and depth for various user needs [4]. Group 2: Anthropic's Progress - Anthropic's Claude 4.5, released in September 2025, emphasizes autonomous programming and tool operation, showcasing improved stability in long-duration tasks [6][11]. - Claude 4.5 achieved a score of approximately 60% in an operating system usage test, significantly higher than its predecessor [6]. - The model is integrated into Microsoft 365 Copilot, enhancing Office applications with intelligent features [7]. Group 3: Google DeepMind's Innovations - Google DeepMind launched Gemini 3 in November 2025, touted as the most intelligent and factually accurate AI to date, with native multimodal capabilities [7][8]. - Gemini 3 can process text, images, and audio simultaneously, enabling new applications such as generating cooking manuals from recipe photos [8]. - The model's query decomposition and tool usage strategy enhance the breadth and accuracy of its responses [8][9]. Group 4: Market Valuations and Funding - OpenAI's potential valuation is reported to reach $500 billion, reflecting investor confidence in its market leadership [10]. - Anthropic completed a $13 billion funding round, doubling its valuation to $183 billion, with significant revenue growth from $1 billion to $5 billion in 2025 [11]. - Mistral AI, a French startup, raised €1.7 billion (approximately $2 billion), achieving a valuation of €11.7 billion, marking a significant milestone for European AI [11]. Group 5: Strategic Shifts Among Tech Giants - Microsoft is diversifying its AI partnerships, integrating Anthropic's Claude model into Azure while continuing to embed OpenAI's models in its products [13]. - Google has shifted its AI strategy to a more proactive approach, launching various AI-enhanced services across its product lines and investing in AI startups [14][15]. - Meta is focusing on open-source models and integrating AI into its social media platforms, enhancing user engagement and content creation [16]. Group 6: Apple’s AI Strategy - Apple introduced a local large language model framework for iOS/macOS, allowing developers to implement smarter features directly on devices [17]. - The company is optimizing its models for offline use, enhancing privacy and response speed for applications like Siri and photo processing [17][18]. - Apple is rumored to collaborate with Google for enhanced AI services in iCloud, although it has not yet launched a general-purpose chat product [18].