以下文章来源于地道风物 ，作者风物菌 地道风物 . 行走的风物百科，看见中国每寸土地的不一样。 本文来自微信公众号： 地道风物 ，作者：风物菌，编辑：伊森，策划、审稿：欧寒天，图片编辑： =G，设计：鱼一条，地图编辑：夜鸣蝉，原文标题：《寒潮又来了！这么冷的天，南北方都是怎么 取暖的？》，题图来自：视觉中国 2026年的第一波寒潮要来了！ Pre the for general ter a . g a ggt a Microso 2 20 804 t 2017 7 7 7 6 南方的冬天有火塘。摄影/吴学文 冬天，到底应该穿什么？ 小时候，作为"全家掌管季节的神"，妈妈一旦给你拿出衣柜里的秋裤，冬天就开始了。而现在，这种 一脱就"噼里啪啦"，好像在给辛苦打工一整天的你鼓掌一样的衣物，已经成为现代脆皮打工人的秋冬 必备单品。 the the first ording 22 t 2017 e d t 1 the first e sup re the first en s 1 positi 每种防寒衣物背后都有其道理，北方的冬天衣物 普遍都很厚重。比如参加查干湖冰捕，不穿厚实 点根本扛不住。摄影/邱会宁 冬天最基础 ...

Core Viewpoint - The article discusses the pervasive sense of urgency and anxiety in modern life, highlighting how societal pressures and a scarcity mindset contribute to this phenomenon. It emphasizes the need to address this urgency to improve mental well-being and quality of life [4][6][10]. Group 1: Causes of Urgency - The sense of urgency has become a long-term state, making it difficult for individuals to control the pace of their lives, even during supposed relaxation times [6]. - This urgency is often inherited from previous generations, where scarcity and competition for resources shaped behaviors and mindsets [8][9]. - The acceleration of life due to technological advancements has led to an increased demand for efficiency, causing individuals to feel pressured to accomplish more in less time [12][13]. Group 2: Societal Impacts - The societal environment is characterized by a pervasive urgency, where individuals feel they must constantly compete to maintain their status and relevance [11][15]. - The concept of "time poverty" is prevalent, where individuals feel they have less time to accomplish tasks, leading to a cycle of anxiety and stress [10][14]. - The modern competitive landscape requires individuals to invest more time and resources to keep up, further exacerbating feelings of urgency [19]. Group 3: Strategies to Alleviate Urgency - Individuals are encouraged to focus on the present moment rather than anxiously anticipating the future, which can lead to a more fulfilling life [21][24]. - Restoring awareness of the surrounding environment and allowing oneself to be engaged with the world can help break the cycle of urgency [25][26]. - Embracing "useless" time, or moments of leisure and relaxation, is essential for mental health and can lead to greater happiness and well-being [28][32].

Core Viewpoint - The article discusses the critical issue of declining birth rates in China, emphasizing the need for policies to stabilize and encourage population growth, particularly through marriage and childbirth incentives [4][10]. Group 1: Population Statistics - As of the end of 2025, China's total population is projected to be 1.405 billion, a decrease of 3.39 million from the previous year [6]. - The birth rate for the year is expected to be 7.92 million, with a birth rate of 5.63‰ and a death rate of 8.04‰, resulting in a natural growth rate of -2.41‰ [7]. Group 2: Policy Initiatives - Recent meetings have highlighted the importance of promoting a positive marriage and childbirth culture, with a specific focus on stabilizing the number of new births [10][14]. - The government is implementing various measures to stimulate childbirth, including financial incentives and educational reforms, aiming to create a more supportive environment for families [35][39]. Group 3: Marriage Trends - There has been a notable increase in marriage rates, with 5.152 million couples marrying in the first three quarters of 2025, representing an 8.5% year-on-year increase [22]. - Major cities are experiencing significant growth in marriage registrations, with Shanghai seeing a 38.7% increase and Shenzhen a 28.7% increase [24]. Group 4: Future Projections - The article suggests that the number of births may rebound in 2026, driven by the increase in marriage rates and supportive policies [18][32]. - While short-term improvements are expected, the article cautions that reversing the long-term decline in birth rates will require sustained efforts and comprehensive policy measures [33][42].

Core Viewpoint - The article discusses the evolving landscape of AI applications in the stock market, highlighting the emergence of new investment opportunities and the volatility associated with AI-related stocks. Group 1: AI Application Market Dynamics - In 2025, companies representing AI computing power saw significant stock price increases, with gains of 424.03%, 396.38%, and 213.72%, leading to the creation of the "Yizhongtian" investment group [2] - In 2026, a new "Yizhongtian" group emerged, focusing on AI applications, with stocks like Yidian Tianxia, Zhongwen Online, and Tianlong Group experiencing a 20% surge [3][4] - Despite initial optimism, many AI application companies began to issue risk warnings, leading to a decline in stock prices [5] Group 2: Progress and Challenges in AI Applications - The current phase of AI application is seen as a significant technological transformation, with potential opportunities, but it still faces challenges in implementation [7] - AI applications are reshaping consumer decision-making, with 40% to 55% of consumers in key industries relying on AI for purchase decisions [10] - The deployment of AI agents is progressing, but challenges such as the "hallucination" problem and internal organizational adjustments remain [11] Group 3: Market Sentiment vs. Performance - The global GEO market is projected to reach $24 billion in 2026, with expectations of $100 billion by 2030, indicating strong growth potential [13] - Despite the hype around AI applications, many companies have not yet demonstrated substantial revenue from their AI initiatives, leading to concerns about market sentiment driving valuations rather than actual performance [14] - Investors are advised to focus on genuine AI application companies rather than those merely riding the wave of market sentiment [15] Group 4: Competitive Landscape and Future Outlook - Major internet companies like Alibaba and Tencent are leading the charge in AI applications, leveraging their existing user bases and data [16] - The article suggests that once revenue from AI applications materializes, companies like Alibaba may undergo significant valuation adjustments [19] - Historical trends indicate that as AI application revenue increases, companies could see substantial stock price appreciation, similar to the transition from traditional software to cloud computing [20][21]

Core Viewpoint - The article discusses the paradox of AI in the medical field, emphasizing the importance of foundational skills and judgment over mere reliance on AI technology. It highlights that while AI can enhance efficiency, it may also lead to a devaluation of essential skills if individuals do not possess a deep understanding of their field [4][5][6]. Group 1: The Zhang Wenhong Paradox - Zhang Wenhong's refusal to integrate AI into hospital medical record systems stems from concerns that untrained reliance on AI could undermine the independent diagnostic abilities of young doctors [4][11]. - The core of the paradox is that if a young doctor relies on AI from the start, their clinical judgment may remain at zero, leading to a situation where AI's capabilities cannot compensate for a lack of foundational knowledge [10][12]. - The article posits that AI amplifies existing skills but does not create them; thus, individuals with no foundational understanding will not benefit from AI's capabilities [10][13]. Group 2: Skills and AI - The article identifies a growing anxiety among skilled professionals who initially believed AI would enhance their capabilities but now feel their value is diminished as AI can perform many tasks more efficiently [6][7]. - It argues that the true value in the AI era lies in the ability to think critically and validate AI outputs, rather than merely executing tasks [20][40]. - The shift in skills required in the AI era is from execution to oversight, where professionals must focus on strategic thinking and validation of AI-generated outputs [37][39]. Group 3: Understanding vs. Knowledge - The distinction between knowledge and understanding is crucial; knowledge is knowing what to do, while understanding is knowing why and when to do it [28][30]. - Professionals who rely solely on AI for information may lack the deeper understanding necessary to apply that knowledge effectively in unique situations [30][31]. - The article emphasizes that to outperform AI, individuals must develop their own cognitive frameworks through experience and critical thinking, rather than relying on AI-generated information [33][49]. Group 4: The Future of Work - The article draws parallels between the current AI revolution and past technological advancements, suggesting that while some jobs may be automated, the complexity and demand for skilled oversight will increase [36][38]. - As AI takes over routine tasks, the role of professionals will evolve from doing the work to managing and validating the work done by AI [37][40]. - The future skill set will require a combination of macro-level understanding and micro-level validation, creating a new definition of expertise in the AI era [40][41].

大家早上好！这里是今天的早报，每天早上，我都会在这里跟你聊聊昨夜今晨发生了哪些大事儿。 昨夜今晨 【欧盟多国考虑对930亿欧元输欧美国商品加征关税】 据央视新闻报道，欧盟多国正考虑对价值930亿欧元的输欧美国商品加征关税，或限制美国企业进入欧盟市 场，以反制美国总统特朗普为得到格陵兰岛而对欧洲8国加征关税。 一名欧盟外交官当天透露称，如果欧盟与美国未能达成协议，报复性关税将从2月6日起自动生效。 特朗普17日在社交媒体上宣布，将从2月1日起对来自丹麦、挪威、瑞典、法国、德国、英国、荷兰和芬兰的输 美商品加征10%关税，并宣称加征关税的税率将从6月1日起提高至25%，直到相关方就美国"全面、彻底购买 格陵兰岛"达成协议。 近日，挪威、瑞典、法国、德国、英国、荷兰和芬兰等欧洲国家宣布向格陵兰岛派兵，参加由丹麦在该岛发起 的"北极耐力"军事演习。 【贾国龙：西贝冷冻西蓝花比市面普通市价高80%-120%，"从来不存在两岁的西蓝花"】 1月18日，西贝董事长贾国龙回应消费者热议的冷冻西蓝花问题，称选用的是市面最高品级的冷冻有机无农残 西蓝花，价格比普通的高80%至120%，采用超低温急冻技术，全程冷链运输。西贝高周转 ...

以下文章来源于字母AI ，作者苗正 本文来自微信公众号： 字母AI ，作者：苗正，编辑：王靖，头图来自：AI生成 究竟是什么样的更新，才能让谷歌CEO皮查伊称之为"众望所归" （Answering a top request from our users） ？ 字母AI . 聚焦前沿科技，抢先看到未来。 | | | Carles | | | | --- | --- | --- | --- | --- | | II GIF | | | | | | Q 220 | 17 413 | ♡ зк | 219K | J T 3 | 那就是谷歌Gemini最新的Personal Intelligence功能。 它通过用户Gmail、Google Photos、YouTube和搜索等应用的数据，让AI能够跨数据源推理，提供个 性化回答。真正意义上实现了AI全能管家。 几乎同时，谷歌还与苹果达成多年期合作，Gemini 3将成为新版Siri的技术底座。还有通用商务协议 的发布。一系列动作密集而迅猛。 这次合作并非单纯的提供基座大模型那么简单。文章《 "套壳"谷歌Gemini，但苹果还没死心自研模 型 》中提到，Gemini作 ...

Core Viewpoint - The consumer sector has been overlooked in the current bull market, with the CSI 300 index rising by 16% in 2025 while the consumer index fell by nearly 8% [4]. Group 1: Market Performance and Trends - In the first ten trading days of 2026, only 17 out of nearly 800 consumer stocks saw gains exceeding 30%, indicating a lack of confidence in the fundamentals of consumer stocks [5][6]. - Despite the overall market rally, consumer stocks have not performed well, with the current bull market not favoring them as a main theme [8][9]. - Policies aimed at boosting consumption have been introduced, including the central economic work conference prioritizing consumption as a key task for 2026 [8]. Group 2: Investment Sentiment and Fund Flows - Large funds are currently favoring broad-based ETFs over consumer stocks, with institutional investors shifting focus from traditional consumer sectors to growth sectors like technology and healthcare [11][12]. - Retail investors have contributed significantly to market liquidity, but many are gravitating towards high-volatility tech stocks rather than consumer stocks [12][13]. - The overall sentiment towards consumer stocks remains weak, with expectations of a slow recovery in demand and structural optimization in consumption patterns [13][20]. Group 3: Sector Analysis and Future Outlook - The consumer sector is entering a phase of structural optimization, with traditional consumption models facing challenges [34][36]. - The growth potential in the consumer sector is uneven, with segments like snacks and soft drinks showing promise, while sectors like liquor are struggling [28][29]. - The gaming market is projected to grow significantly, with a historical high in sales revenue and user base [31]. Group 4: Investment Strategies and Key Characteristics - Future investment strategies should focus on companies with strong individual capabilities and the ability to adapt to changing consumer demands [38][39]. - Companies that can innovate, explore new business models, and have international market capabilities are likely to perform better [41]. - The service sector, particularly in tourism, dining, and entertainment, is expected to be a key area for growth in domestic consumption [43].

以下文章来源于冷杉RECORD ，作者東昇 冷杉RECORD . 凤凰周刊出品。让讲述更有生命力。 本文来自微信公众号： 冷杉RECORD ，作者：東昇，编辑：雪梨王，题图来自：视觉中国 留给这届中年人的时间，向后宽限了三年。 1月14日，2026年度国考笔试放榜。这个决定命运的数字跳出来之前，38岁的张琪决定先用钱买下一 点赢面。傍晚六点半，他顺着下班的人流走到街边，解锁了一辆共享单车，骑向市中心的考公培训机 构。他要去上一对一的面试课，每小时700元。他已经预交了1.1万元的学费——这笔钱相当于他两个 月的底薪，够交三个月的房贷。 一个多月前，张琪刚走出国考考场。彼时在一张张满是胶原蛋白的脸庞中，他的出现显得突兀。那天 他穿着笔挺整洁的衬衫，鬓角的白发有些扎眼。他在人群中努力寻找，偶尔才能发现几个和自己年龄 相仿的考生。 和年轻人的轻松自如相比，他们显得格外局促。 "年轻人可以等笔试成绩出来再准备面试。我这个年纪，耗不起了。"坐在培训教室的角落里，张琪在 笔记本上密密麻麻写满了答题框架。 这曾是一扇被焊死了30年的门。自1994年以来，"35岁"就像一道无形的屏障，将无数中年人挡在体 制的红线外。但在20 ...

Core Insights - Anthropic's recent report titled "AI Job Displacement Report" highlights the complex relationship between AI and human labor, suggesting that higher education levels correlate with greater job displacement risk due to AI [2][3][6] Group 1: AI Efficiency and Task Complexity - AI demonstrates remarkable efficiency in complex tasks, with Claude increasing work speed by 9 times for tasks requiring only a high school education [8] - For tasks that require a university degree, the acceleration factor rises to 12 times, indicating that AI is most effective in high-intelligence fields like programming and financial analysis [10][13] - The report emphasizes that AI's efficiency gains in complex tasks can outweigh the costs of its occasional errors, making it indispensable in high-skill jobs [10] Group 2: Human-AI Collaboration - The report reveals that AI's "task horizons" can extend significantly when humans are involved, with Claude achieving over 50% success in tasks that would typically take humans 19 hours [17][18] - This suggests a shift towards a collaborative work model where humans guide AI through complex projects, enhancing overall productivity [19] Group 3: Global Disparities in AI Adoption - The report identifies a "adoption curve" where developed countries utilize AI for productivity, while developing nations primarily use it for educational purposes [21][23] - This disparity highlights a technological gap, with Anthropic collaborating with the Rwandan government to help transition from basic learning to broader applications of AI [25] Group 4: Deskilling Concerns - The report raises alarms about "deskilling," indicating that AI is systematically removing high-skill components from jobs, with tasks covered by Claude requiring an average of 14.4 years of education [26] - This trend could lead to a reduction in the value of human labor, as AI takes over complex analytical tasks, leaving humans with less meaningful work [28] Group 5: Productivity Projections - Anthropic revises its productivity growth forecast for the U.S., estimating AI will contribute to a 1.0% to 1.2% annual increase over the next decade, down from a previous estimate of 1.8% [36][38] - Despite the reduction, this growth rate is significant, potentially bringing productivity levels back to those seen during the late 1990s tech boom [38] Group 6: Conclusion - The report emphasizes the rapid adaptation of humans to AI, marking a transition from "passive automation" to "active enhancement" [40] - It suggests that the most valuable human skills will shift towards defining problems rather than merely finding answers in an era of abundant computational power [42]