2026年1月28日 星期三 V国新办定于1月28日举行新闻发布会 2025年国资央企高质量发展情况 2 财政部、央行: 定于1月28日进行2( 国库现金管理商业银行定期存款（一期 3 美国2025年12月商品贸易帐公布 4 美国1月23日当周EIA汽油库存变动' 1 隔夜市场 美股三大指数收盘涨跌不一，道指跌0.83%，纳指涨0.91%，标普500指数涨0.41%；科技股普涨，英特尔涨超3%，亚马逊涨超2%。医疗保险股普跌，标普 1500管理型医疗指数下跌18%，创下自1997年以来的最大跌幅；联合健康跌超19%，CVS跌超14%。中概股涨跌不一，纳斯达克中国金龙指数涨0.48%，爱 奇艺、哔哩哔哩涨超3%，携程集团跌逾2%，小鹏汽车、理想汽车跌超1%。 国际油价大幅走高，截至发稿时，美油主力合约涨3.07%，报62.49美元/桶；布伦特原油主力合约涨2.9%，报66.65美元/桶。 国际贵金属延续强势，其中黄金再创历史新高，现货黄金盘中最高触及5187.96美元/盎司，截至发稿时，现货黄金涨3.33%，报5174.95美元/盎司；COMEX 黄金期货涨1.87%，报5177.4美元/盎司。现货白银涨8.1 ...

每经编辑｜王瀚黎 王晓波 V国新办定于1月28日举行新闻发布会 2025年国资央企高质量发展情况 2 财政部、央行: 定于1月28日进行2( 国库现金管理商业银行定期存款（一期 3 美国2025年12月商品贸易帐公布 4 美国1月23日当周EIA汽油库存变动' 1 隔夜市场 美股三大指数收盘涨跌不一，道指跌0.83%，纳指涨0.91%，标普500指数涨0.41%；科技股普涨，英特尔涨超3%，亚马逊涨超2%。医疗保险股普跌，标普 1500管理型医疗指数下跌18%，创下自1997年以来的最大跌幅；联合健康跌超19%，CVS跌超14%。中概股涨跌不一，纳斯达克中国金龙指数涨0.48%，爱 奇艺、哔哩哔哩涨超3%，携程集团跌逾2%，小鹏汽车、理想汽车跌超1%。 国际油价大幅走高，截至发稿时，美油主力合约涨3.07%，报62.49美元/桶；布伦特原油主力合约涨2.9%，报66.65美元/桶。 国际贵金属延续强势，其中黄金再创历史新高，现货黄金盘中最高触及5187.96美元/盎司，截至发稿时，现货黄金涨3.33%，报5174.95美元/盎司；COMEX 黄金期货涨1.87%，报5177.4美元/盎司。现货白银涨8.11% ...

● 本报记者葛瑶 国际资本对中国市场的关注度显著回升。去年境外投资者对中国市场的低配幅度从约2.5%收窄至约 1.3%，减少了约1.2个百分点的低配。瑞银全球金融市场交易部主管贺立言(Neil Hosie)日前在接受中国 证券报记者专访时表示："如果外资进一步降低低配幅度，将意味着可观的潜在资金流入。" 贺立言表示，外资情绪正从此前的观望态度转向"谨慎乐观"。在他看来，中国市场估值优势凸显、企业 治理持续改善、科技创新动能不断增强，叠加全球投资者分散化配置需求上升，配置型资金的入场窗口 有望逐渐打开。瑞银预计中国股市2026年全年涨幅约18%，盈利增速约10%，机器人、人工智能、新能 源汽车、生物科技等科技创新赛道最受关注。 外资谨慎乐观 "谨慎但乐观"，贺立言用这一表述来概括当前外资的情绪基调。他观察到，与一年前同期相比，境外投 资者的心态已发生明显转变。"今年投资者正在做大量工作来深入了解中国公司，这和去年年初相比已 经有了很大不同。"他认为，这一变化在一定程度上受2025年A股市场表现带动：上证指数全年涨幅达 18.41%，沪深300指数涨幅超17%，强劲的市场表现开始吸引全球投资者关注。 交易型资金活 ...

Core Insights - International capital's interest in the Chinese market has significantly increased, with foreign investors reducing their underweight position from approximately 2.5% to about 1.3%, a decrease of 1.2 percentage points [1][2] - UBS forecasts an 18% increase in the Chinese stock market by 2026, with a 10% growth in earnings, highlighting sectors such as robotics, artificial intelligence, new energy vehicles, and biotechnology as key areas of focus [1][5] Group 1: Foreign Investor Sentiment - Foreign investor sentiment has shifted from a cautious stance to a "cautiously optimistic" outlook, driven by improved market performance and valuation advantages in the Chinese market [1][2] - The Shanghai Composite Index saw an annual increase of 18.41%, while the CSI 300 Index rose over 17%, attracting global investor attention [1][3] Group 2: Valuation and Asset Allocation - The valuation advantage of the Chinese market is evident, with the forward P/E ratio of the CSI 300 Index at approximately 16.7 times compared to over 28 times for U.S. stocks, indicating potential for value re-evaluation of Chinese assets [2][3] - The trend of reducing underweight positions among foreign investors suggests a potential influx of capital into the Chinese market [2][3] Group 3: Types of Foreign Capital - Currently, trading funds dominate the foreign capital active in the A-share market, with quantitative funds showing significant activity and growth in assets under management (AUM) [2][3] - There is an emerging trend of long-term capital from Europe and the U.S. entering the Chinese market, alongside early investments from Middle Eastern funds [2][3] Group 4: Institutional Interest and Governance - Institutional investors are increasing their research efforts in the Chinese market, preparing for potential investments as macro uncertainties diminish [3][4] - Improvements in corporate governance, such as increased dividend payouts and share buybacks, are enhancing foreign investor confidence in Chinese companies [3][4] Group 5: Focus on Technological Innovation - Foreign investors are particularly interested in sectors where China holds competitive advantages, such as robotics, AI, new energy vehicles, and biotechnology [4][5] - The integration of AI with various industries positions China favorably, with significant advancements in applications like automated inventory management and intelligent production [4][5] Group 6: Brand Recognition and Market Outlook - Chinese brands are gaining international recognition, with companies like BYD and Xiaomi becoming prominent in global markets, reflecting a trend of increasing acceptance of Chinese products [5] - UBS anticipates continued active equity financing activities in both Hong Kong and A-share markets, with a focus on AI companies going public [5]

Core Viewpoint - DeepSeek has launched a new model, DeepSeek-OCR 2, which utilizes the innovative DeepEncoder V2 method to dynamically rearrange image components based on their meaning, aligning more closely with human visual encoding logic [1][3]. Group 1: Differences in DeepSeek-OCR 2 - Unlike traditional OCR systems that uniformly scan and encode images, DeepSeek-OCR 2 introduces a semantic-driven dynamic encoding mechanism that assesses which visual areas are most important during the encoding phase [3]. - The previous version, DeepSeek-OCR 1, was recognized for treating OCR as a visual compression problem, focusing on compressing visual content into a format more understandable for language models [3]. - DeepSeek-OCR 2 advances this concept by allowing visual encoding to enter the "understanding phase" rather than merely serving as a preprocessing step [4]. Group 2: Open Source and Accessibility - As with previous significant releases, DeepSeek-OCR 2 has been made open source, with the project, paper, and model weights all available simultaneously [4]. - The project can be accessed at the provided GitHub link, along with the technical report and model on Hugging Face [4].

Group 1 - The core argument is that the U.S. faces systemic deficiencies in power supply, which will hinder its development in artificial intelligence (AI), while China has a robust and sustainable power supply that supports AI evolution [1] - By mid-2025, the performance growth of individual chips will begin to plateau, shifting the focus from computing power to electricity supply, where China excels [1] - China's total installed power generation capacity is 3.8 billion kilowatts, with an estimated annual electricity consumption of approximately 10.4 trillion kilowatt-hours in 2025, more than double that of the U.S. [1] Group 2 - The U.S. AI development is likened to a mystical journey, while China's "AI+" initiative focuses on practical experience in specific sectors, fostering skilled professionals to enhance productivity and national competitiveness [2]

Group 1: Semiconductor Industry - The semiconductor industry is currently facing systemic cost pressures, with companies like Zhongwei Semiconductor and Guoke Micro announcing price increases of 15%-50% for products such as MCU and Norflash due to supply chain constraints and rising costs [1][2] - The packaging and testing costs have significantly increased, particularly for standard products like MCU and Norflash, leading to longer delivery cycles and greater operational pressure on companies [2] - The demand for DRAM and NAND Flash from major manufacturers is driving up orders for storage testing companies, with price increases of up to 30% expected as capacity utilization approaches full load [2] Group 2: Natural Gas Market - A severe winter storm has caused natural gas prices in the U.S. to surge, with Henry Hub futures reaching $7.43 per million British thermal units, a 140% increase since January 16 [3] - Spot prices in the northeastern U.S. have skyrocketed to between $50 and $150 per million British thermal units due to the storm, which has resulted in significant fatalities [3] - Short-term oil prices are under pressure from tariff policies and OPEC+ production increases, but geopolitical risks and global demand resilience may support oil price stability [3] Group 3: Artificial Intelligence - DeepSeek has launched a new document recognition model, DeepSeek-OCR2, which features a self-developed visual encoder that enhances semantic understanding [4] - The AI application landscape is expected to accelerate significantly by late 2025 to early 2026, with major tech companies making strategic moves in the AI space [4] - The upcoming release of DeepSeek's V4 model is anticipated to create competitive pressure on overseas closed model vendors, potentially reshaping the global AI market [5] Group 4: Brain-Computer Interface - The Brain-Computer Interface (BCI) industry is transitioning from laboratory research to clinical and consumer applications, with significant policy support and technological advancements driving this shift [5] - The BCI has been included in China's "14th Five-Year Plan" as a key development area, with independent billing projects set to be established by 2025 [5] - Non-invasive BCI technologies are already in mass production for rehabilitation and focus training, with companies like Neuralink planning to scale production of BCI devices [5] Group 5: Macro and Industry News - China Aviation Engine Corporation has outlined its strategic tasks for the "14th Five-Year Plan," focusing on accelerating the development of aviation engines and achieving technological self-reliance [6] - A major green hydrogen project in Inner Mongolia has undergone a significant capacity increase, now featuring 308 alkaline electrolysis cells and 152 PEM devices [7] - The National Energy Administration has established several standardization technical committees related to the hydrogen energy sector [7]

Core Insights - The article highlights significant advancements in AI technology with the release of new models and chips by various companies, indicating a competitive landscape in the AI sector. Group 1: AI Model Releases - DeepSeek has launched the DeepSeek-OCR 2 model, enhancing optical character recognition capabilities [1] - Alibaba has officially released its flagship reasoning model, Qwen3-Max-Thinking, marking a significant step in AI development [1] - Kimi announced the release and open-sourcing of the Kimi K2.5 model, contributing to the open-source AI community [1] - MiniMax introduced the MiniMax M2.1 × Clawdbot, aimed at creating an open-source AI assistant to build superintelligent workflows [1] Group 2: AI Hardware Developments - Microsoft has unveiled the next-generation AI chip, Maia 200, which is expected to improve AI processing capabilities [1] - NVIDIA has released the AI "Earth-2" system, designed to enhance the accuracy of weather forecasting [1]

Core Viewpoint - The article highlights the recent advancements in domestic AI models, particularly focusing on the release of new models by DeepSeek, Kimi, and Alibaba, which demonstrate significant improvements in performance and capabilities in visual understanding and reasoning [2][8][9]. Group 1: DeepSeek's Innovations - DeepSeek released the new DeepSeek-OCR 2 model on January 27, utilizing the innovative DeepEncoder V2 method, allowing AI to dynamically rearrange image components based on their meaning, mimicking human visual encoding logic [2][3]. - The DeepSeek-OCR 2 model achieved a score of 91.09% on the OmniDocBench v1.5 benchmark, representing a 3.73% improvement over its predecessor [3][4]. - The model maintains high precision while controlling computational costs, with visual token counts limited between 256 and 1120, aligning with Google’s Gemini-3 Pro [3][4]. Group 2: Kimi's Model Release - Kimi launched the Kimi K2.5 model, which automatically updated the previous K2 model without user intervention, aimed at enhancing response speed, reasoning ability, and multi-turn dialogue stability [8]. - Kimi K2.5 achieved top scores in various agent evaluations, including HLE, BrowseComp, and DeepSearchQA, marking it as Kimi's most intelligent model to date [8]. Group 3: Alibaba's Qwen3-Max-Thinking - Alibaba introduced the Qwen3-Max-Thinking model, which surpassed leading models like GPT-5.2 and Claude Opus 4.5 in multiple key performance benchmarks, setting new global records [8][9]. - The new model features over one trillion parameters and incorporates a novel test-time scaling mechanism, significantly enhancing reasoning performance while being more economical [9]. - Qwen3-Max-Thinking also improves the model's ability to autonomously use tools, reducing hallucinations and laying the groundwork for solving complex real-world tasks [9].

"世界不是由事实构成的，而是由事实之间的关系构成的。" 如果用维特根斯坦的理论来反推 AI 的能力边界，智能的上限或许从一开始就不取决于模型"知道多少"，而取决于它是否理解Context(语境)、规则，以及 这些知识在不同场景中如何被使用。 也正是在这一意义上，今天更有竞争力的模型们，开始逐步逼近维特根斯坦后期所说的"语言游戏"：意义并不来自词本身，而来自使用。能否参与这种游 戏，决定了 AI 只是一个高效的工具，还是正在进入更深层的认知结构。 但这一变化，并没有被舆论第一时间捕捉。过去两年，舆论场被 ChatGPT 与 Claude 轮番占据，行业习惯将 AI 视为一个整体的、线性的竞赛，更强的模 型、更大的参数、更通用的智能被视为唯一的进化方向。 身处一线的从业者，先于市场感知到了"温差"。前OpenAI成员姚顺雨，便在此前AGI会谈上分享到： AI 在 To C 端和 To B 端正遵循不同的发展轨迹。 从 GPT-4 到后续迭代版本，普通 C 端用户的体感差异微乎其微；但另一边，Claude，已开始深入编程等核心环节，改变程序员们的工作模式。 陷入马太效应的"垂直整合" 过去两年，市场曾笃信"模型+应 ...