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].

Core Insights - The Norwegian Sovereign Wealth Fund achieved a 15.1% annual return in 2025, driven by strong performances in technology and financial sectors, continuing its reliance on large tech stocks [1] - The fund, managed by the Norwegian Central Bank Investment Management (NBIM), reported a stock investment return of 19.3%, with other asset classes also showing growth [1] - Despite solid overall performance, the fund lagged its benchmark index by 28 basis points [1] Group 1: Performance Highlights - Large tech stocks have consistently dominated the fund's performance in recent quarters, with NBIM holding approximately 1.5% of listed shares in around 7,200 companies globally [2] - The fund's largest holdings include major U.S. tech giants such as Nvidia, Apple, Microsoft, Alphabet, and Amazon [2] - Other asset classes also recorded positive returns, with fixed income investments yielding 5.4% and private real estate investments returning 4.4% [2] - The most notable performance came from private renewable energy infrastructure investments, which achieved a return rate of 18.1% [2] Group 2: Geographical Concentration Concerns - Over half of the fund's assets are concentrated in the U.S., primarily in stocks and bonds, raising concerns among experts due to recent geopolitical tensions [3] - An expert panel appointed by the government has recommended that the fund prepare for increasing geopolitical instability, particularly in light of recent comments from former President Trump regarding Greenland [3] - The expert panel advised against limiting the fund's investment scope, suggesting that NBIM should maintain its global and diversified investment strategy while addressing geopolitical risks [3]

以下文章来源于蓝点网 ，作者山外的鸭子哥 蓝点网 . 科技资讯、软件工具、技术教程，尽在蓝点网。蓝点网，给你感兴趣的内容 #系统资讯 安卓电脑首个视频流出？谷歌工程师提交的错误报告意外附带安卓桌面版即 Aluminum OS 铝系统的录制 视频，使用的设备搭载的是英特尔第 12 代处理器。视频显示这个系统基于 Android 16，顶部为工具栏、底部为任务 栏和应用图标，支持分屏多任务处理等。 此前谷歌已经透露将把安卓系统与 ChromeOS 系统合并，谷歌的最终目的是将安卓打造为同时兼容 移动设备和桌面设备的新系统，也就是大家戏称的安卓电脑。 这里还涉及到新系统的名称： Aluminum OS 铝系统 ，需要特别强调的这只是谷歌内部给安卓桌 面版起的 代号 ，并非最终名称 (虽然从 ChromeOS 来看说不好最终就叫这个名字)。 日前有谷歌工程师在 Chromium 问题跟踪器上提交的错误报告意外提前泄露安卓桌面版的界面(目前 这个报告已经被设置权限无法公开查看)，这应该是谷歌宣布合并系统以来首次出现的官方版截图和 视频。 谷歌工程师使用的设备是惠普推出的 Chromebook，这款设备搭载的是英特尔在 ...

Core Viewpoint - Investors are increasingly cautious about Big Tech's AI spending, expecting substantial growth in return for record investments, particularly following the launch of ChatGPT over three years ago [1]. Group 1: Company Performance - Meta Platforms reported a 24% revenue increase in the December quarter, driven by enhanced online ad targeting through AI, and forecasts a further 33% growth in the current quarter [2][10]. - Microsoft experienced only slight growth in its Azure cloud-computing business, which fell short of expectations despite record spending [3]. - Tesla plans to double its capital expenditure to over $20 billion this year, focusing on AI and autonomous vehicles, although this raised concerns about the alignment of corporate AI ambitions with investor expectations [12][13]. Group 2: Investor Sentiment - Investors reacted negatively to Microsoft’s earnings, leading to a 6.5% drop in its shares, while Meta's shares surged by 10% due to its strong revenue guidance [6]. - The market is increasingly questioning whether the significant capital expenditures by tech companies will yield adequate returns, reflecting a growing divide between AI ambitions and Wall Street's patience [13][14]. Group 3: AI Investment and Risks - Microsoft disclosed that its investment in OpenAI accounts for 45% of its backlog, raising concerns about concentration risk as the startup faces challenges in maintaining momentum in the AI race [4]. - Meta's aggressive investment strategy in AI and data centers is expected to lead to a 43% increase in total expenses this year, reaching $169 billion [10][11].

Summary of Conference Call Records Industry Overview - The conference call discusses the cloud computing and CDN (Content Delivery Network) industries, highlighting a significant price increase driven by AI demand and rising costs in upstream components such as CPUs and semiconductors [1][2][3]. Key Points and Arguments - **Price Increases**: Major cloud service providers like Google Cloud and AWS have announced price hikes, indicating a shift in pricing logic from expansion to profitability in the cloud computing sector [1][2][3]. - **AI Demand**: The surge in AI-driven computational needs is a primary factor behind the price increases, with NVIDIA's H-series graphics cards rebounding in price and a notable rise in demand for AI applications [2][6]. - **Beneficiaries of Price Hikes**: Companies like Kingsoft Cloud and UCloud, which are in a turnaround phase, are expected to benefit from the overall price increase in the cloud market. The CDN sector, particularly with Google CDN's price doubling, is also poised for significant gains [5][11]. - **Domestic Market Dynamics**: In China, major players such as Alibaba Cloud, Tencent Cloud, and Baidu are highlighted. Alibaba has consistently exceeded market expectations, while Tencent's focus on AI is noteworthy. Baidu's upcoming IPO of Kunlun chips and its cash reserves provide growth potential [7][11]. - **Telecommunications Opportunities**: The optical chip sector is emphasized, with a favorable outlook from 2025 to 2028. Companies like Yuanjie Technology are expected to maintain high profit margins through innovative solutions [8][9]. - **Long-term Growth in Optical Chips**: The domestic optical chip industry is projected to grow, driven by increasing demand and a shift towards domestic production of lithium phosphate-based optical chips [9][10]. Additional Important Insights - **Market Trends**: The cloud computing and CDN industries are experiencing high growth, with increasing traffic driving demand for DCA (Data Center Automation), CDN, and edge computing services [11]. - **Electronic Sector Price Trends**: The electronic sector is also witnessing widespread price increases, with passive components and power devices seeing price hikes of 10%-20% due to rising raw material costs and a shift from inventory destocking to replenishment [12][13]. - **Investment Strategies**: For the electronic sector, investment opportunities include companies embracing AI and those benefiting from upstream price increases. Companies with lower valuations but significant growth potential in sectors like MCU and power semiconductors are also recommended [13].

Summary of Conference Call Records Company and Industry Involved - Focus on the **AI industry** and specifically on **NVIDIA** as a leading company in the AI sector [1][12][17] Core Points and Arguments - **Market Volatility and Investment Strategy**: The stock market experienced significant volatility, particularly during the crash from August 5 to August 7, 2025, with the fear index (VX index) reaching 42.8, a rare occurrence in 31 years. Buying quality stocks like NVIDIA during panic periods has proven to yield returns, as evidenced by a 10% gain after purchasing NVIDIA at $92 [1][2][3][4] - **Comparison of US and A-shares**: The US stock market generally trends upwards, supported by dividends and buybacks, while A-shares exhibit a zigzag pattern with shorter bull markets and longer bear markets. This difference significantly impacts investment returns over the past 30 years [1][5] - **Bitcoin Investment Insights**: Bitcoin's volatility can be mitigated by observing its long-term upward trend. Despite its non-yielding nature, it has shown overall growth, but stocks and other yielding assets are considered more stable and potentially more rewarding [1][6] - **Gold vs. Other Assets**: Gold has historically served as a store of value but lacks the yield that stocks provide. The average return on US stocks, adjusted for inflation, has been 6.6% over 200 years, with earnings growth contributing significantly to this return [7] - **Technological Progress as a Growth Driver**: Technological advancements are identified as the core driver of wealth growth and capital market development. Historical examples illustrate the importance of investing in line with technological changes [10] - **Opportunities in the AI Era**: The advent of AI presents substantial investment opportunities, akin to previous technological revolutions. Investors are encouraged to seize these opportunities, with NVIDIA highlighted as a potential high-return investment similar to past successes like Tencent [11][12] - **NVIDIA's Competitive Edge**: NVIDIA is positioned as a leader in AI, with significant R&D investments projected to reach $15 billion in 2026. Its profit is expected to be $120 billion in 2026, with a potential 50% growth in 2027. The company’s rapid product iteration and introduction of quantum chips enhance its competitive advantage [12][13] - **Absence of AI Bubble**: Current capital expenditures and profit growth among US tech giants, including Google, do not indicate an AI bubble. Historical patterns suggest that major themes drive asset classes every decade, with AI being the current theme [13] - **Future Economic Growth and China's Role**: AI is anticipated to significantly boost global economic growth rates, particularly in China, where companies like Huawei and Alibaba are advancing in AI. This development is seen as crucial for sustaining economic growth amid competition with the US [14] - **Long-term Investment Strategies**: Investors are advised to adopt a long-term perspective, planning for 20 to 30 years to navigate market fluctuations. Historical examples, such as Buffett's investment in Apple, illustrate the potential for substantial returns through patience and strategic planning [15][16] Other Important but Possibly Overlooked Content - **Wealth Management and Currency Fluctuations**: Currency changes can drastically affect wealth management, as illustrated by the depreciation of the Turkish lira. Investing in stable markets can significantly enhance wealth [9] - **Investment in Tesla vs. Bitcoin**: Investing in Tesla, a yielding asset, is viewed as potentially more rewarding than Bitcoin due to its growth potential linked to technological innovations [8] - **Oriental Harbor's Investment Strategy**: The firm plans to focus on AI technologies, with significant investments in Google and NVIDIA, anticipating these companies may become the first to exceed a market cap of $10 trillion [17]

Celestica Inc. (NYSE:CLS) shares are trending on Thursday.Shares of the Toronto-based data center infrastructure provider fell 5.28% in after-hours trading on Wednesday, to $327.01, following the company's fourth-quarter earnings report and 2026 guidance update.Record Q4 Performance Beats GuidanceCelestica reported fourth-quarter 2025 revenue climbed 44% to $3.65 billion from $2.55 billion a year earlier, topping the high end of its guidance range of $3.325 billion to $3.575 billion. Adjusted earnings per s ...

Core Viewpoint - Google DeepMind's new model, AlphaGenome, expands AI's predictive capabilities to the complex realm of the human genome, achieving state-of-the-art (SOTA) performance in genomic predictions [1][9]. Group 1: Model Capabilities - AlphaGenome can simultaneously predict 11 different gene regulatory processes, capturing complex interactions within genes [3][11]. - The model accurately analyzes gene splicing mechanisms, identifying how a single gene can produce multiple proteins and when errors occur that lead to diseases [4][8]. - It has demonstrated the ability to predict mutations related to diseases, such as accurately reconstructing pathogenic mutations in the TAL1 gene associated with leukemia [6][23]. Group 2: Performance Metrics - AlphaGenome has achieved SOTA performance in 22 out of 24 evaluations related to genomic trajectory predictions and outperformed existing models in 25 out of 26 direct disease association tasks [14][9]. - The model's predictive performance includes a 49% success rate in identifying regulatory directions for GWAS-related variants, significantly surpassing traditional methods [21]. Group 3: Technical Architecture - The model employs a hybrid architecture combining CNN and Transformer technologies, allowing for high-precision genomic predictions [30][31]. - AlphaGenome's input window extends to 1 million base pairs, enabling it to cover most interactions between remote enhancers and promoters [36]. - The training process utilizes a large-scale dataset covering both human and mouse genomes, ensuring the model learns universal rules of gene regulation across different physiological environments [37][38]. Group 4: Training Strategy - AlphaGenome implements a two-phase training strategy to balance generalization and inference efficiency, including a pre-training phase with strict cross-validation and a distillation phase for model refinement [40][41]. - The training incorporates rigorous data augmentation strategies to enhance the model's robustness against unseen mutations [43].

Core Insights - Google has disrupted the IPIDEA proxy network, which sold the ability to route internet traffic through consumer devices to malicious actors, making it harder for network defenders to detect illicit activities [1][2] Group 1: Disruption Actions - Google took legal action to shut down domains used by the IPIDEA network and shared technical intelligence about its software with law enforcement and research firms [3] - Google ensured that its built-in security protection, Google Play Protect, warns users and removes apps that incorporate IPIDEA's software development kits (SDKs) [3] Group 2: Impact of Disruption - Google believes its actions have significantly degraded IPIDEA's operations, reducing the pool of devices available to proxy operators by millions [4] - The disruption may have downstream impacts across affiliated entities due to shared device pools among proxy operators [4] Group 3: Industry Context - Despite the disruption of IPIDEA, the residential proxy providers industry is rapidly growing [4] - The threat from this industry can be mitigated by raising consumer awareness about apps that offer payment for "unused bandwidth" and encouraging the use of official app stores [5] Group 4: Recommendations - The industry is encouraged to require residential proxy providers to show auditable proof of user consent and for app developers to vet monetization SDKs [5] - Tech platforms are urged to continue sharing intelligence and implementing best practices to combat illicit proxy networks [5]