2025年，全国居民人均可支配收入43377元，比上年名义增长5.0%。这是国家统计局近日发布的统计数 据。 《财经》梳理各地统计局数据发现，上海、北京、浙江三地居民收入领跑全国。其中，上海市全年居民 人均可支配收入首次突破9万元大关，达91987元，居全国首位。北京紧随其后，达89090元；浙江首次 突破7万元，达70240元。 省份间收入梯队分明，全国31省中，共有东南沿海8省的人均可支配收入超过全国水平，23省份的居民 收入都低于全国平均水平。由于多数人的收入偏低，全国的收入中位数被拉低到36231元，仅为平均数 的83.5%。 为何高收入地区的居民收入普遍跑输GDP增速，官方统计的收入构成提供了一个观察的视角。 以北京为例，89090元的居民人均可支配收入涵盖四大项：居民人均工资性收入57376元，占比64.4%， 同比增长4.9%；人均经营净收入1109元，同比增长3.2%；人均财产净收入12287元，同比增长0.7%；人 均转移净收入18318元，同比增长4.9%。 年人均可支配收入在3万元到4.3万元之间，这是全国绝大多数省份居民所处的区间，包括内蒙古、辽 宁、重庆等22省，涵盖从东北到华中、西 ...

Core Insights - The stock price of Zhipu has surged over 70% in four days, reaching a market capitalization of over 170 billion HKD, three times its IPO valuation [1] - Zhipu's new generation base model GLM-5 was officially launched on February 12, continuing the upward trend in stock price [1] - The rapid increase in stock value has created significant wealth for employees, with many becoming millionaires due to their shareholdings [1][3] Company Background - Zhipu was founded in 2019, building on research from Tsinghua University's KEG laboratory, which started in 2006 [2] - The company went public on the Hong Kong Stock Exchange in January 2023, becoming the "first global large model stock" with an initial market cap exceeding 50 billion HKD [2] - Over 50 institutional investors backed Zhipu prior to its IPO, including major venture capital firms and tech giants like Alibaba and Tencent [2] Employee Wealth Creation - As of June 2025, Zhipu has 883 employees, with 452 holding shares, representing 51.2% of the workforce [3] - The employee stock ownership platforms, Huihui and Zhiden, were established in 2021, with significant stakes held by employees and executives [3] - The average share value for employees is estimated to exceed 14 million HKD, with some employees holding shares worth up to 200 million HKD [3] Market Dynamics - The surge in Zhipu's market value is attributed to the launch of the GLM-5 model, which has shown superior performance in programming and agent capabilities [4] - The AI sector in Haidian has seen a wave of successful IPOs, including companies like Moore Threads, which also experienced rapid stock price increases [5] - Haidian is becoming a hub for AI innovation, with a significant number of AI companies and talent concentrated in the area [8][9] Industry Growth - The AI market in Haidian is projected to reach 360 billion RMB by 2025, with over 1,900 core AI enterprises established [8] - Haidian has a strong ecosystem for AI development, including numerous research institutions and a high concentration of top AI talent [9][10] - The local government has actively supported AI companies through funding and investment initiatives, fostering a conducive environment for growth [10]

关于那个神秘的「Pony Alpha」模型的传言，已经在互联网发酵了一周。 有人说它是 Claude 5 的马甲，也有人说它是某大厂的秘密武器。就在刚刚，靴子落地，谜底揭晓：这个代号「Pony Alpha」的新模型，正是智谱 AI 的春 节大招——GLM-5。 智谱公众号截图 而且，它直接开源了。 如果说 2025 年是 AI 学会写代码的一年，那么 2026 年开年，正如特斯拉前 AI 总监 Andrej Karpathy 所预言，我们或许即将进入「智能体工程」（Agentic Engineering）时代。 只不过，比起 GPT-5.3-Codex、Claude Opus 4.6，头一个把这件事做成开源基础设施的，是国产模型 GLM-5。 附体验地址： 骗过硅谷的 Pony Alpha，竟然是智谱 GLM-5 的马甲 现在的 AI 写个贪吃蛇或者俄罗斯方块，早就不是什么新鲜事了。要测，就得测点刁钻的。 我们给 GLM-5 抛出了一个极其具体的物理模拟需求： 创建一个交互式的 HTML、CSS 和 JavaScript 卫星系统模拟程序，该程序应模拟卫星向地面接收器发送信号的过程。模拟程序应显示一颗卫星绕地 ...

Core Insights - The rise of AI pets reflects a growing demand for emotional support among young people, driven by increasing loneliness in urban environments [1][3][10] - AI pets are seen as a solution to loneliness, providing companionship without the responsibilities of real pets, and are gaining popularity in the emotional economy [10][19][29] Group 1: AI Pets and Emotional Support - AI pets serve as emotional oxygen for young people, addressing the collective loneliness experienced in urban living [3][10] - The market for AI pets is projected to grow significantly, with estimates suggesting the emotional companionship market in China will reach 3.866 billion yuan by 2025 and exceed 59.5 billion yuan by 2028, with a compound annual growth rate of 148.74% [27] - AI pets offer low-cost, high-certainty emotional feedback, making them attractive to young consumers [6][10] Group 2: Market Dynamics and Product Differentiation - The AI pet market is segmented into various price tiers, with entry-level products priced around 100 yuan and high-end models exceeding 2,800 yuan, catering to different consumer needs [10][27] - The popularity of AI pets is not just about companionship; they reflect a deeper desire for connection and response from users, embodying the emotional economy [10][29] Group 3: Technological Advancements - Advances in AI technology have enabled pets to evolve from passive responders to proactive companions, capable of remembering past interactions and providing contextual support [21][24] - The shift from reactive to predictive capabilities in AI pets is driven by breakthroughs in large model technology, enhancing user engagement [24][27] Group 4: Broader Applications Beyond Young Adults - AI pets are also gaining traction among children and adolescents, serving as emotional support and facilitating communication between children and parents [11][16] - The role of AI pets is evolving from passive emotional receivers to active emotional interveners, helping children express their feelings in a safe environment [19][29]

Group 1 - The core idea is that Chongqing's government aims to leverage the local noodle brand as a key driver for industrial development, with significant partnerships established to create a billion-dollar brand and trillion-dollar industry platform [1] - The case of Li Chuan illustrates the importance of having a sustainable industry; despite initial popularity, the lack of a solid industrial base led to a decline, prompting a shift to promoting "Li Chuan Tea" as a key product [1] - The success of the small lobster brand in Luyuan, despite weaker regional advantages, highlights how branding can elevate a local product to national recognition, becoming a significant industry hub [1] Group 2 - The article discusses the importance of integrating brand consumption with cultural, agricultural, and food sectors to create a comprehensive growth strategy from top-level design to bottom-level operations [5] - The brand's industrial logic emphasizes the need to connect production, urban development, and enterprise to create a cohesive support system [8] - The growth logic of enterprises varies significantly; some achieve rapid growth while others stagnate, indicating the necessity of understanding the underlying development routes and growth logic [9] Group 3 - The "Four ONE" product strategy is introduced, emphasizing the need for businesses to identify market gaps and establish themselves as leaders in niche markets [32] - The article outlines a structured approach to brand design and marketing operations, focusing on clarity in product offerings, brand messaging, and sales strategies [26][30] - The "Six Forces" operational framework is proposed to enhance marketing effectiveness, emphasizing planning, product development, brand image, service quality, promotional strategies, and management capabilities [45][49] Group 4 - The article emphasizes the importance of customer lifecycle management, categorizing it into four stages: attracting, converting, retaining, and referring customers [38] - Effective management across various operational stages is crucial for achieving sustained growth and profitability, requiring a comprehensive approach to internal and external relationships [42] - The article concludes with a roadmap for businesses to transition through different growth stages, from individual products to a comprehensive ecosystem, highlighting the need for strategic planning and execution [56]

Core Insights - The article emphasizes the significant challenge of ecological barriers faced by domestic GPU companies in China, which goes beyond hardware performance and capital market achievements [1] - The current global GPU market is dominated by Nvidia and AMD, whose competitive advantage has shifted from hardware specifications to software and ecosystem development [1] - The article highlights the importance of building a robust ecosystem that requires deep understanding of developer needs, continuous improvement of the toolchain experience, and long-term community cultivation [2] Group 1: Ecological Barriers - Domestic GPU manufacturers are adopting a "compatible ecosystem" strategy to quickly enter the market, but this may lead to a long-term dependency on existing ecosystems, hindering the development of unique competitive advantages [2] - The construction of an ecosystem is a slow process that tests patience, capital, and foresight, requiring solid technical foundations and ongoing support from investors [2] Group 2: Industry Constraints and Capital Challenges - Domestic GPU companies face multiple constraints from the industry foundation, including limitations in advanced manufacturing processes, core IP self-sufficiency, and challenges in advanced packaging technologies [3] - The high investment nature of the GPU industry makes it a "capital endurance battle," with companies like Wallen Technology investing 85% of their IPO proceeds into R&D [3] - The financial performance of domestic GPU companies often shows strong revenue growth but delayed profitability, reflecting the industry's inherent characteristics [3] Group 3: Market Survival and Competition - The current growth of domestic GPUs is largely driven by policy support and specific replacement demands, but true commercial success requires navigating a fully market-driven and competitive landscape [4] - The ultimate test for domestic GPUs lies in their ability to support large-scale AI models, run top-tier games, and provide reliable services in high-precision industrial simulations and life sciences [4] Group 4: Investment Value Reevaluation - Investors are advised to maintain a rational perspective on the GPU sector, focusing on actual penetration rates, order visibility, and the quality of revenue growth [7] - Key mid-term indicators include breakthroughs in core architecture, the robustness of the software ecosystem, and clarity in profitability pathways [7] - Long-term success will depend on the ability to create a globally influential development platform and transition from a technology follower to a rule-maker [7] Group 5: Strategic Importance of GPU Development - The evolution of GPUs represents a strategic contest for control over foundational infrastructure and standards in the intelligent era, with significant implications for China's technological competitiveness [9] - The collective efforts of domestic GPU companies are seen as a crucial expedition that aligns with national expectations and industrial missions [9] - The journey towards establishing a self-sufficient GPU industry is expected to be challenging yet rewarding, with the potential to reshape the global computing landscape [10]

Core Insights - Artificial Intelligence (AI) is transforming the manufacturing industry by enabling predictive analytics, intelligent process optimization, and data-driven decision-making [1][2] - The guide explores prominent AI applications in manufacturing, focusing on predictive maintenance and performance planning, while addressing operational efficiency, unplanned downtime reduction, and emerging trends towards sustainable and human-centric smart manufacturing [1][3] Group 1: AI Applications in Manufacturing - AI applications in manufacturing are centered around strategic deployment of impactful use cases, facilitating a phased and iterative approach to build a fully interconnected smart manufacturing ecosystem [4][5] - Key foundational AI applications include predictive maintenance and performance planning, which integrate heterogeneous data streams from various enterprise data sources to generate actionable insights [5][7] - Predictive maintenance has shown to reduce unplanned downtime by 30% to 50%, with some implementations achieving reductions of up to 70% [10][11] Group 2: Industry-Specific Applications - AI applications are highly contextual and need to be tailored to specific industry operational realities, regulatory environments, and strategic priorities [17] - In discrete manufacturing, AI focuses on maximizing equipment availability and maintaining strict quality tolerances, with unplanned downtime losses potentially reaching hundreds of thousands of dollars per hour [18] - The energy sector utilizes AI for asset lifecycle optimization and risk-based prioritization, significantly reducing maintenance costs and improving asset reliability [19] Group 3: Benefits of AI in Manufacturing - AI delivers compounded value across three strategic pillars: enhancing equipment availability, improving operational performance, and maximizing output quality and yield [23][24] - Implementing AI can lead to productivity improvements of 15% to 35%, with top facilities achieving output increases of 40% to 60% per hour [25] - AI-driven anomaly detection and quality control can reduce defect rates by 30% to 70%, significantly enhancing customer satisfaction [26] Group 4: Future Trends - The AI landscape in manufacturing is shifting towards mature, ecosystem-driven deployments, with a focus on democratizing access to AI tools for non-experts [39][43] - Generative AI is emerging as a core component of manufacturing intelligence, enhancing troubleshooting and design processes [44][45] - The global AI market in manufacturing is projected to grow from approximately $3.2 billion in 2023 to $20.8 billion by 2028, with a compound annual growth rate (CAGR) exceeding 45% [50]

过去一段时间里，PC领域爱好者能够明显感觉到内存的价格已经飙升到难以控制的局面，但同样对内存有高使用需求的手机行业，却没有太明显的新机价 格上涨。这并不是手机厂商控价控得好，而是库存相对充足。 复活老技术，只能暂时缓解内存焦虑 通过外置存储卡的方式拓展手机存储空间，实际上是诞生在一个移动多媒体快速发展，但硬件与成本无法取得平衡的时代。早在2004年，摩托罗拉发布首款 支持MicroSD卡扩展的机型V780，这款手机内置存储空间只有10MB，但通过扩展，可以让存储空间翻数十倍，用于存放资料与音乐。 不过，消息指出手机厂商也难逃内存库存告急的窘境，有个别品牌正在考虑用其他方式降低库存消耗。而这一招就是「复活」外置存储卡的设计，允许消费 者自主扩展存储空间。 （图源：Tiger Mobile） 早年间，支持存储卡扩展几乎是每台手机必备的功能，而后续为了进一步利用内部空间，以及做防尘防水设计，渐渐取消了这一配置。没想到，一次内存危 机竟然让这个功能重新复活了。 这项设计在往后的十几年时间里，几乎成为手机的标配。但2007年，苹果发布的iPhone并没有配备这项设计，这也让市场开始对这个功能有了一些新的思 考。三星在G ...

邛海的灵鹰寺迎来冬日午后最温柔的阳光时， 寺庙外侧爱马仕橙的墙面，光影斑斑。 年均温度18摄氏度，日照时数2500小时， 是四季宜花的「天然温室」。也是超级无敌低调的冬暖夏凉之宝藏小城。 有人说冬天来了很温暖，要脱棉袄， 夏天来了太凉快，需要穿外套。 当大家都说要去昆明，要去大理，要去海南。 倒是这座川南小城几乎被遗忘了。 所以，如果春节还没想好去哪避寒，我会毫不犹豫推荐西昌。 这几天，西昌午后的温度一直在20摄氏度以上。 春节期间，日间最高温度平均在23摄氏度， 配上暖阳，体感非常舒适。 对于四川人民来说，春节来确实方便， 从成都出发，三小时高铁就能抵达看花看海晒太阳， 这座坐落在北纬27度，海拔1500米的太阳城， 除了是举世闻 名的「航天中心」， 这里还可以"看海"、逛古城、晒太阳、泡温泉、爬山、吃烧烤，感受日与月的耀眼。 更曾被《国家地理》评为"川西最美小城"， 一年四季，仿佛春天都在此栖息。 01 这里像太阳 有炙热的生命力 树影婆娑之间，是彼时彼刻超级出片的时刻。 这里是温暖的川南秘境——— 四川，西昌。 被称为和太阳与月亮最接近的地方， 西昌一直以来相当太低调。 作为中国最大的彝族聚居区， 四川 ...

Core Insights - The main challenge in retirement planning is not poverty but uncertainty regarding health and financial needs as individuals age [1] - Waterlily, an AI-driven company, aims to address this uncertainty by providing personalized aging predictions based on extensive health and financial data [1][2] Group 1: Company Overview - Waterlily is not a traditional healthcare or insurance company but acts as an AI actuary to help families calculate retirement needs [1] - The company completed a seed funding round of $7 million, led by Brewer Lane Ventures, and has connected with major insurance firms like Genworth and Nationwide [1] Group 2: Technology and Methodology - Waterlily has developed a long-term care demand prediction model that standardizes the aging process [2] - The company utilizes over 500 million data records to provide personalized predictions about the likelihood of entering a state of disability and the associated costs [3][4] - Users input basic personal information, and the AI calculates the probability of health issues and the expected timeline for care needs [3][4] Group 3: Core Value Proposition - Waterlily translates health risks into financial risks, allowing users to understand the monetary implications of potential health issues [6][7] - The platform assesses not only the care needs of the elderly but also the capacity of family members to provide informal care, predicting when they may need to seek professional help [5] Group 4: Product and Business Model - Waterlily's product is primarily a SaaS platform for financial advisors, with a clear business flow that includes data collection, aging trajectory modeling, and solution matching [8][16] - The platform generates revenue through SaaS subscription fees and commissions from insurance product sales, creating a hybrid business model [17][19] Group 5: Market Impact and Insights - Waterlily addresses a significant pain point in insurance sales by improving conversion rates through data-driven insights, potentially reducing customer acquisition costs by up to 50% [20] - The company is transitioning from a prediction tool to a full-service transaction platform, enhancing its commercial capabilities [21] - The model offers insights that could be transformative for the Chinese market, where there is a need for better communication about retirement planning and financial responsibilities among family members [22][27]