如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容编译自路透社，谢谢。 韩国 SK 海力士全球第二大存储器芯片制造商英特尔周四表示，部分客户已提前下订单，为应对美 国对半导体征收的新关税做准备。 SK海力士全球销售与营销主管李相乐 (Lee Sang-rak) 在公司年度股东大会上表示，"拉动"效应加 上客户库存的减少，导致近期市场状况良好。 今年 1 月，中国初创公司DeepSeek 声称其开发的人工智能模型可以与西方同行相媲美，而成本却 低得多，引发了人们对人工智能硬件支出放缓的怀疑。但英伟达上个月表示，其人工智能芯片的需 求没有受到影响。 但他补充说，这一趋势是否会持续仍有待观察。 今年 1 月份，SK 海力士曾表示，今年第一季度其 DRAM 和 NAND 闪存芯片出货量将较上一季 度下降 10% 至 20%。 据媒体报导，美国芯片制造商美光、闪迪（SanDisk )和中国某存储厂商最近提高了存储芯片的价 格，部分原因是人工智能市场需求强劲。 路透社联系美光科技、SanDisk 等厂商时，他们均未立即发表评论。 美国总统唐纳德·特朗普 2 月份表示，他打算对半导体和其他一些进口产品征收"约 25%"的 ...

Core Viewpoint - The tech sector, particularly Nvidia, is experiencing stock declines, with concerns about potential turbulence ahead for investors [1][2]. Group 1: Stock Performance - Nvidia's stock closed down 5.74%, contributing to a broader decline in the tech sector, with the Dow Jones Industrial Average down 0.31%, S&P 500 down 1.12%, and Nasdaq Composite down 2.04% [1]. - Nvidia's stock has faced volatility recently, with a significant one-day loss in January where it lost nearly $600 billion, attributed to increased competition from Chinese startup DeepSeek [2]. Group 2: Technical Analysis - Nvidia has formed a "death cross," a technical indicator where the 50-day moving average falls below the 200-day moving average, which is often viewed negatively by investors [2]. Group 3: Future Outlook - There is a belief that Nvidia will play a crucial role in an AI-powered industrial revolution, and despite current challenges, it is still considered a stock worth owning [2]. - The market is awaiting more certainty regarding Nvidia, which could influence the performance of other stocks in the tech sector [3].

Core Viewpoint - Microsoft experienced a late rally in its stock price, avoiding an eight-week losing streak, but remains down 7% for the year as of March 21, 2025 [1][5]. Group 1: Stock Performance and Market Trends - Microsoft stock rose 0.7% for the week ending March 25, 2025, and has increased 2.5% over the past five days [1]. - The last significant slump for Microsoft occurred between January and February 2008, during the financial crisis, when the stock declined for nine consecutive weeks [2]. - Since reaching a high of $467.56 in July 2024, Microsoft's stock has fallen approximately 16%, reducing its market capitalization to about $2.9 trillion [5]. Group 2: Competitive Landscape - Microsoft is facing increased competition in the AI and cloud sectors, particularly from Chinese tech companies like DeepSeek and Alibaba, which are offering cheaper AI innovations [4]. - Major competitors such as Amazon and Google are expanding their market presence, with Google recently announcing plans to acquire cloud security startup Wiz for $32 billion [6]. Group 3: Financial Metrics and Valuation - Microsoft has a price-to-book (P/B) ratio of 9.61, a price-to-cash flow (P/CF) ratio of 26.34, and a price-to-earnings (P/E) ratio of 31.50, all of which are higher than the respective industry averages [10]. - The company has demonstrated strong revenue growth, with a three-year average revenue growth of 13.5% compared to 9.8% for the S&P 500, and an annual revenue growth of 15.0% from $228 billion to $262 billion [11]. Group 4: Analyst Recommendations - Microsoft has a Zacks Rank of 3 (Hold) and an average brokerage recommendation (ABR) of 1.18, indicating a majority of recommendations are Strong Buy [7][8]. - The average price target for Microsoft, based on forecasts from 40 analysts, is $510.35, representing a potential increase of 29.15% from the last closing price of $395.16 [9]. Group 5: ETF Exposure - Microsoft stock has significant exposure to various exchange-traded funds (ETFs), including iShares U.S. Technology ETF (14.50% exposure) and Fidelity MSCI Information Technology Index ETF (13.64% exposure) [12].

This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility: Credit: Unsplash/CC0 Public Domain Apple boss Tim Cook on Wednesday praised "the next generation of developers" during a visit to a technology hub in eastern China, as the US tech giant battles to stay relevant in the country's vast consumer market. The iPhone maker last year lost its status as the best-selling smartphone bran ...

Economic Outlook - The risk of a significant recession in the U.S. by 2026 is increasing due to rising uncertainty surrounding Trump's policies, despite the current economic stability [2][5][6] - Trump's claim that the U.S. economy is "detoxifying" is criticized as a political excuse rather than an economic term, with emphasis on using classic indicators like unemployment rates and consumer spending to assess economic health [2][5][6] Market Dynamics - The U.S. stock market is highly concentrated, with seven major stocks accounting for 34% of the total market value, indicating a bubble risk similar to the early 2000s internet bubble [2][7] - Current market enthusiasm driven by AI advancements is deemed unsustainable, with potential for significant corrections in the future [2][7] Trade Policies and Global Impact - Trump's high tariffs on steel and aluminum have prompted retaliatory measures from the EU and Canada, increasing global production and distribution costs [3][10] - The idea of forcing supply chains to return to the U.S. is viewed as impractical due to the complexity and high costs involved, which could ultimately harm American consumers [3][14] AI Competition - The competition in AI is more intense than previously acknowledged, with breakthroughs like DeepSeek posing significant challenges to U.S. companies due to their low-cost advantages [1][15] - The shift towards more efficient production models is anticipated as countries adapt to the competitive landscape shaped by advancements in AI [15][16] Historical Context - The current trade policies echo historical mistakes, such as the Smoot-Hawley Tariff, which led to a global trade war and economic depression in the 1930s, highlighting a lack of historical awareness in current U.S. policy [17]

Core Insights - Google has launched its next-generation AI reasoning model, Gemini 2.5, which incorporates a "thinking" process before answering questions [1] - The new model family includes Gemini 2.5 Pro Experimental, described as the smartest model to date, available on Google AI Studio and for subscribers of the $20 monthly Gemini Advanced plan [2] - All future AI models from Google will feature built-in reasoning capabilities, following the trend initiated by OpenAI's o1 model in September 2024 [3] Performance Metrics - In the Aider Polyglot code editing evaluation, Gemini 2.5 Pro scored 68.6%, outperforming top models from OpenAI, Anthropic, and DeepSeek [4] - In the SWE-bench Verified test, Gemini 2.5 Pro achieved a score of 63.8%, surpassing OpenAI's o3-mini and DeepSeek's R1, but falling short of Anthropic's Claude 3.7 Sonnet, which scored 70.3% [4] - In the Humanity's Last Exam, Gemini 2.5 Pro scored 18.8%, outperforming most competitors' flagship models [4] Technical Specifications - Gemini 2.5 Pro features a context window of 1 million tokens, allowing it to process approximately 750,000 words at once, which is longer than the entire Lord of the Rings series [5] - The model will soon support double the input length, reaching 2 million tokens [5] Future Developments - Google has not disclosed the API pricing for Gemini 2.5 Pro but plans to share more information in the coming weeks [6]

Group 1 - AI computing chips are considered the "engine of the AI era," with significant growth in the Sci-Tech Innovation Board ETF Huaxia (589000) experiencing net inflows for four consecutive days [4][3] - As of March 26, 2025, the Sci-Tech Innovation Board Composite Index (000680) increased by 0.38%, with notable stock performances including Tailin Microelectronics (688591) up 16.77% and Airo Energy (688717) up 8.53% [1][4] - The Sci-Tech Innovation Board ETF Huaxia has seen a scale increase of 47.32 million yuan in the past week, ranking first among comparable funds [3] Group 2 - The global computing power scale is expected to grow significantly, from 1397 EFLOPS in 2023 to 16 ZFLOPS by 2030, with a compound annual growth rate of 50% from 2023 to 2030 [4] - AI servers are identified as the core infrastructure supporting generative AI applications, with AI computing chips providing the foundational support for computing power [4] - The top ten weighted stocks in the Sci-Tech Innovation Board Composite Index account for 23.9% of the index, with companies like Haiguang Information (688041) and Cambricon (688256) among the leaders [5]

Core Viewpoint - DeepSeek has announced the completion of a minor version upgrade for its V3 model, now known as DeepSeek-V3-0324, which has shown significant improvements in various capabilities, making it the highest-scoring non-inference model according to recent evaluations [1][2]. Group 1: DeepSeek V3 Model Upgrade - The new version DeepSeek-V3-0324 features enhancements in reasoning, front-end development, Chinese writing, and Chinese search capabilities [1]. - The model's performance in reasoning tasks has improved significantly, surpassing GPT-4.5 in evaluations related to mathematics and coding [2]. - The model retains the same base as its predecessor but has improved post-training methods, with approximately 660 billion parameters and a context length of 128K for the open-source version [2][3]. Group 2: Competitive Landscape - On the same day, OpenAI announced the launch of the GPT-4o image generation feature, integrating advanced capabilities into its model [4]. - Google released the Gemini 2.5 series, with the Pro Experimental version achieving the highest score in the large model arena, outperforming GPT-4.5 by 40 points [5]. - Gemini 2.5 Pro supports a context window of up to 1 million tokens and is set to double this capacity in future releases, showcasing significant advancements in reasoning and performance metrics [5]. Group 3: Market Implications - Following DeepSeek's upgrade, Tencent has also integrated the latest models, indicating a competitive response in the AI sector [6]. - Goldman Sachs predicts that the ongoing AI developments could lead to a 2.5% annual increase in earnings per share for Chinese companies over the next decade, with potential inflows exceeding $200 billion into investment portfolios [6].

Group 1 - A surge of competition from China, particularly from DeepSeek's R1 and Alibaba's Qwen 2.1, has led to a significant sell-off of Nvidia stock, threatening to push it below $100 [1] - Alibaba Chairman Joe Tsai has raised concerns about a potential bubble in AI data center investments due to indiscriminate spending on infrastructure [2][3] - Despite the current nervousness in the market, as evidenced by a nearly 2% drop in Nvidia shares following Tsai's warning, the overall trend for Nvidia remains positive with a 2.17% increase over the week [5] Group 2 - The Stargate Project, a major infrastructure initiative announced by President Donald Trump, is part of the broader trend of aggressive AI development, with Alibaba also heavily investing in this area [4] - Even if a bubble in AI infrastructure exists, the long-term prospects for the AI sector are expected to remain strong, similar to the growth of the internet post-Dot-com bubble [6] - The potential deflation of an AI infrastructure bubble could lead to significant short-term losses for many investors [7]

聚焦中发高｜发展负责任的人工智能，以AI促进普惠包容发展 多家企业负责人和与会专家学者也对人工智能的发展表达了自己的看法。奔驰董事会主席康林松、宝马集团董事长齐普策、小鹏汽车董事长兼首 席执行官何小鹏，都在演讲中介绍了在汽车产业电动化、智能化和可持续发展过程中AI所扮演的关键角色；施耐德电气董事长赵国华（Jean- Pascal Tricoire）则探讨了包括AI技术在内的新技术如何更好地提升能源生产和使用效率。清华大学苏世民学院院长薛澜在论坛上表示，AI技术可 以突破学科界限实现新的整合与科技集成，促进机制创新，为创新积淀丰沃的土壤。 北京智源研究院创始人、美国国家工程院院士张宏江在发言中表示，近年来随着以OpenAI、DeepSeek、Manus等为代表的大模型或AI产品的出 现，人类"确实走到了未来的前夜"，"未来的世界是一个自主智能的世界，机器开始能够自我思考、能够自我规划、能够自己指挥自己行动。"他 表示，随着AI技术的快速发展，人类社会可能很快就会面临选择困境：一方面技术的突破让人非常激动；但另一方面，AI技术会对社会带来非常 大的变化，会改变人类未来的组织和就业模式。"未来我们要面对的是AI带来 ...