Core Viewpoint - The article emphasizes the emergence of "Yuan Service" as a solution for developers to enhance their commercial performance in a saturated mobile internet market, focusing on lightweight and scenario-based service distribution to address user needs and operational challenges [5][10][12]. Group 1: Current State of Mobile Applications and Distribution Market - The mobile internet is entering a phase of stock competition, with user growth slowing and customer acquisition costs rising significantly, with a 109% increase in mainstream channel costs over three years [7][31]. - By mid-2025, the internet penetration rate in China is projected to reach 79.7%, but the growth rate has dropped to around 2%, indicating a ceiling on traffic growth [7][31]. - The number of applications on Android and iOS systems reached 4.83 million and 3.26 million respectively by mid-2025, with growth rates of 2.43% and 6.52% [7][34]. Group 2: Challenges and Opportunities for Developers - Developers face the challenge of increasing customer acquisition costs while needing to focus on refined operations to capture existing user value [5][31]. - User engagement in segmented scenarios is rising, indicating a shift towards more precise service delivery based on user needs [8][37]. - The explosive growth of AI applications, with a 32.7% year-on-year increase in average monthly usage time, presents new opportunities for developers to leverage lightweight AI experiences [8][38]. Group 3: Yuan Service and Its Value Proposition - Yuan Service provides a comprehensive empowerment process for developers, covering development, user acquisition, retention, and monetization through a lightweight and scenario-based service distribution model [10][46]. - The service aims to enhance development efficiency by allowing developers to deploy across multiple platforms with reduced costs and increased exposure through various entry points [11][49]. - Yuan Service integrates AI capabilities and distributed technology to create a seamless user experience across devices, enhancing service value and user engagement [12][14]. Group 4: Practical Applications and Trends of Yuan Service - Yuan Service is being implemented in various sectors, such as finance and logistics, to improve user experience by providing real-time information and reducing the complexity of service access [76][81]. - The service is expected to continue expanding, creating a growth flywheel through increased capability density and scenario depth as more developers join the ecosystem [82].

要进入这样一个打下深刻语言文化烙印的市场，大部分中国公司需要找到当地的合作伙伴，来帮助它们尽快进入消费者的视野。 中国与中亚国家贸易的崛起让俄罗斯企业嗅到商机。俄罗斯最大的互联网公司正在帮助更多中国企业渗透中亚市场。 坐落在莫斯科"二环"附近的Yandex是俄罗斯最大的互联网科技公司，搜索引擎起家的Yandex有"俄罗斯版谷歌"之称。近年来，随着中国企业出海俄罗斯与中 亚国家需求的增长，Yandex正在通过中亚俄语区市场的优势地位，来吸引更多中国客户，帮助他们渗透到这些过去鲜有人问津的地区。 飞往阿拉木图的中国商人 哈萨克斯坦是介于中俄之间的亚欧大陆"心脏地带"，也是大量中国企业近年来通过"一带一路"政策所抵达的首个战略枢纽地。 在哈萨克斯坦的经济中心阿拉木图，12月整座城市已是一幅雪山包围的美丽图景。记者刚出机场就能看到中国科技公司华为醒目的广告牌；机场高速沿途， 海尔、比亚迪等中国企业的广告牌林立；大街上随处可见的是红旗、长城等中国品牌汽车。 据阿拉木图一家华人酒店老板介绍，近几年来，中国赴哈萨克斯坦考察的团队越来越多，酒店生意也越来越好，经常爆满。 中国从事媒介咨询行业的人士小艾告诉第一财经记者，她今年 ...

前几天，小雷外出游玩时，发现随身携带的充电宝忘了充电，而手机电量已不足30%。小雷准备在街边扫码租借共享充电宝，却发现如今共享充电宝的价格 已涨到6元/小时（注：共享充电宝价格与所在场所有关），加之其充电功率极低，要把手机电量恢复到安全状态，算下来起码得花12块钱，非常不划算。 一番权衡后，小雷决定去附近的小米之家买个新充电宝——虽说价格稍高，但胜在可以长期使用，比反复租借更划算得多。可就在小雷准备付款时，小米店 员主动告知：「您可以把手机放这儿充电，完全免费。」这时小雷才猛然想起，不少手机品牌官方门店其实都提供这类应急充电服务。 但新的疑问也随之冒了出来：是不是所有手机品牌门店都支持应急充电？又为啥有那么多人宁愿花高价租共享充电宝，也没想过去试试手机店的这类服务 呢？带着这些困惑，雷科技决定专门跑一趟线下商场，实地探访如今手机品牌店的售后便民服务究竟做得如何。 都能免费充，vivo、OPPO将服务做到了极致 小雷在广州选取了市中心的正佳广场、人流密集的天河龙洞迎龙海悦城、嘉禾望岗金铂天地，以及位置较偏的广州白云太和金铂天地四座商场来体验手机门 店的自带充电服务。 第一站小雷选择的是太和金铂天地，虽然这个商场 ...

如果您希望可以时常见面，欢迎标星收藏哦~ PC OEM和芯片供应商正指望消费者对人工智能(AI)的兴趣来推动PC出货量增长，这种增长在几 年来从未见过。近年来，人工智能的兴起促使一种专门为加速人工智能任务而设计的新型专用计 算硬件的出现：神经处理单元 (NPU)。与其更成熟的前身GPU一样，NPU提供了一个专门优化的 专用硬件平台，可以高效执行某些类型的计算。 为了支持人工智能PC，处理器供应商一直在其异构PC处理器中添加集成的NPU。Intel、AMD 和高通都推出了符合微软要求的产品，即集成的NPU提供每秒至少40万亿次运算(TOPS)，以支 持Copilot+ AI助手。人工智能PC和集成的NPU仍处于早期阶段；机器学习工作负载（如图像分 类和对象检测）以及深度学习活动（如计算机视觉和自然语言处理）正在以大致相等的比例利用 NPU、GPU和CPU。但这种相对平衡将迅速改变。随着进一步的创新，以及软件开发人员对它们 的熟悉程度越来越高，MPR预计NPU将在AI PC中承担大部分 AI 工作负载。 一条人人都走的路 当然，CPU早在20世纪50年代和60年代就已出现，当时正值计算机时代的黎明。它们从执行（相 ...

Core Insights - The mobile imaging landscape has shifted dramatically in the past year, moving away from hardware-centric advancements to a focus on algorithms and AI capabilities [1][23][32] - The trend indicates a departure from the obsession with large sensors, with manufacturers prioritizing overall system balance and user experience [2][4][7][32] Hardware Developments - The era of one-inch sensors is declining, with only a few models like Xiaomi 15 Ultra and OPPO Find X8 Ultra remaining on the market, primarily aimed at niche enthusiasts rather than mass consumers [2][4] - New flagship models are adopting smaller sensors, such as the 1/1.28-inch LYT-828, to enhance overall performance and user experience while maintaining a balance between size and functionality [4][5][32] AI and Algorithm Integration - Advancements in AI technology are narrowing the performance gaps in dynamic range, night scenes, and noise reduction, leading manufacturers to allocate resources towards enhancing long-focus capabilities and overall imaging experience [5][23] - Live Photo has evolved into a standard recording format, integrating seamlessly into the AI imaging workflow, allowing for dynamic content creation without the need for manual switching between photo and video modes [8][12][14] Color and Image Quality - The introduction of multi-spectral imaging and original color lenses by brands like Huawei, vivo, and OPPO aims to achieve consistent color reproduction across different lighting conditions, enhancing the overall image quality [18][32] - The focus has shifted from merely achieving high pixel counts to ensuring that images are visually appealing and consistent across various lenses [18][32] User Experience and Accessibility - The mobile imaging experience is increasingly designed for ease of use, allowing users to capture and share images without needing extensive knowledge of photography [27][29][32] - AI functionalities are being integrated into the camera systems to assist users in achieving better results, making advanced photography techniques more accessible to the average consumer [29][32] Future Directions - The industry is expected to continue refining hardware while enhancing software algorithms and AI capabilities, focusing on natural and unified image outputs [31][32] - The competition will shift from hardware specifications to the overall user experience, emphasizing reliability and ease of use in capturing and sharing images [32][33]

一项持续十年的社会心理学研究发现：在职场长期合作中，"厚道者"的终身合作价值指数，平均是"精 明者"的3.2倍。更令人深思的是——这种差距随时间呈指数级拉大。 这不是道德说教，而是一道被多数人误读的 "人格算术题" 。当整个世界都在教你要聪明、要计较、要 占先时，真正的清醒者早已明白：厚道，才是这个时代最高级的生存策略。 1 厚道不是软弱，是你看透规则后的"战略性谦让"。 朋友老张在业内有个外号叫"傻子张"。十年前地产行业黄金期，他和合伙人开发项目，对方在账目上做 了手脚，多拿走两百多万。发现后，合伙人惊恐万分，老张却说："钱你留着，项目尾款结清，咱们好 聚好散。" 身边人都骂他傻："告他！让他身败名裂！" 老张摇头："我损失的是钱，他损失的是整个人生信用。这笔账，看谁亏得久。" 戏剧性转折在八年后。那位合伙人经历破产、众叛亲离，最后找到老张，想借一笔启动资金。老张居然 答应了。 "你疯了吗？"妻子质问。 老张说："一个被所有人抛弃的人，要么彻底堕落，要么彻底醒悟。我看他是后者。这笔投资，投的不 是项目，是他后半生对我的死心塌地。" 果然，那位合伙人用五年时间，不仅还清借款，更成为老张最可靠的副手，帮他开拓了 ...

眼下，我国新能源车的渗透率已经超过50%，新一轮科技公司、互联网公司带着天然的技术优势、流量优势进一步入场夺食。他们各有生意经：华为喊 出"不造车，但帮助车企造好车"的口号；小米亲自下场造车，创始人IP影响着消费者的购车决策；京东则与埃安、宁德时代合作，将自己的能力注入买卖 流程中……两个圈层生态由表及里深度融合，人才也随之涌动交织。造车新十年，或许将是传统造车企业与互联网企业共同托举的十年。 编者按：近年来，新能源与智能化浪潮为汽车行业带来了百年未有之变局。在此期间，市场机遇与乱象并存 —— 无序内卷、过度营销、安全争议、品牌浮 沉等，不断重塑产业生态。行至 2025 年岁末，再空洞地谈渗透率与智驾，似已缺乏新意。时代的洪流奔涌向前，而最真实、最动人的注脚，往往就源自 那些躬身入局的平凡个体。本栏目将以人为镜，透过一个个普通汽车人的故事，记录这段属于中国的、波澜壮阔的汽车变革之旅。 "现在买汽车像网购手机一样，不用去4S店，直接线上下单，在家门口提车，这波操作算是给车圈上了一课。"近日，当京东"国民好车"交付了1000辆新 车，传统车企营销组的孟范不禁感叹，互联网又对车圈产生了新的影响。 从2014年开始， ...

每经记者｜闫峰峰 每经编辑｜吴永久 各位老铁，近期新股情绪持续高昂，让中签的投资者赚得盆满钵满，如12月5日上市的摩尔线程，即便 募资金额较多，发行价较高，但在上市首日涨幅达425.5%，中一签的投资者更是赚24.31万元。 而明日又将迎来1只科创板高价新股，那就是昂瑞微。公司是国产5G射频芯片龙头，产品打破国际垄 断。公司创始人兼实控人钱永学先生硕士毕业于中科院微电子研究所，公司获得华为、小米的投资。 值得注意的是，公司发行价高达83.06元/股，如果其明日能够取得近10只新股的上市首日平均涨幅 348.19%，那么中一签的投资者将赚超10万元。那么，昂瑞微明日上市会是一只10万元肉签吗？ 行业方面，公司主要聚焦射频前端芯片、射频SoC芯片领域。射频前端是无线通信设备的核心组件，主 要处理射频信号。根据Yole数据，全球射频前端市场规模由2020年的192亿美元增至2024年的255亿美 元、年均复合增长率达7.3%；预计2030年全球射频前端市场规模有望达308亿美元，2024年至2030年复 合增长率约为3.2%。 从供给端来看，目前，全球射频前端市场中，美国、日本等国际头部厂商占据该市场的绝大部分份额 ...

Core Insights - Canon's decision to close its printer factory in Zhongshan, China by the end of 2025 marks a significant shift in the global laser printer market, dominated for decades by Japanese and American brands like Canon and HP [2] - The market landscape is changing, with domestic brands increasing their market share from approximately 10% in 2010 to over 40% today, while foreign brands have seen their share drop below 60% [2][10] - Canon's market share has decreased from 7.7% in 2018 to 3.9% in the first three quarters of 2025, while domestic brand BenQ has captured significant market shares of 23.5%, 25.8%, and 21.3% in the same period [2] Domestic Brand Growth - BenQ's entry into the printer market was driven by long-term commercial prospects and national strategic needs, particularly concerning supply chain and information security risks [3] - The company initially focused on consumables but soon recognized the limitations and shifted towards printer manufacturing, launching its first A4 monochrome laser printer in 2010 [4] - Despite facing aggressive pricing strategies from competitors, BenQ managed to grow its output from 53,000 units in May 2011 to over one million units by 2019, achieving an average annual growth rate of about 50% [4] Technological Advancements - BenQ has made significant strides in developing core components such as the laser scanning unit (LSU) and main control SoC chips, achieving independent research and development of these critical modules by 2018 [6][7] - The company has accumulated over 6,000 patents, establishing a technological moat that supports its competitive position in the market [7] - Lenovo has also transitioned from imitation to independent innovation, increasing its self-developed printer revenue share from less than 10% to 50% [7] Market Dynamics - The printer industry's business model relies on a "razor-and-blades" strategy, where original consumables generate ongoing revenue, with hardware sales often only breaking even [8] - Despite a decline in overall printer sales from 10 million units in 2000 to about 7 million units recently, domestic brands have continued to expand their market presence [9] - The shift in the global industrial landscape is evident as foreign brands relocate some production capacity, allowing domestic brands to take the lead in the supply chain [10] Competitive Landscape - Domestic brands are gaining market share due to lower prices (20%-30% cheaper than foreign brands) and features tailored to local needs, such as remote printing and Bluetooth/NFC connectivity [12] - The penetration rate of home printers in China is only about 10%, indicating significant growth potential as demand for home and small business printing continues to rise [14] - The competitive environment is intensifying, with profit margins shrinking and companies investing heavily in research and development to innovate and meet market demands [14] Future Outlook - Domestic brands are expected to focus on high-end products, AI ecosystems, and international expansion, particularly in Southeast Asia [13] - The industry is entering a phase of stock or even declining competition, with foreign giants like HP and Canon facing challenges [15] - The rise of Chinese printer brands is attributed to continuous innovation in core technologies, establishing independent intellectual property, and enhancing supply chain security [15]

中邮证券主要观点如下： 阿里：围绕通义国内第一大模型，重塑应用生态 智通财经APP获悉，中邮证券发布研报称，随着全球算力供应紧张态势缓解及模型训练/推理成本快速 下降，AI产业发展重心正从"模型能力竞赛"转向"应用效率与规模竞争"，一个以用户和场景为中心的新 一代AI应用入口生态将加速整合与重塑。未来1-2年将是市场格局分化与整合的关键时期，其竞争的本 质是"生态控制力"之争。在我国市场，各厂商凭借其独特的存量生态与新增能力，正依托深厚场景认 知、优质客户关系及卓越产品化能力，有望在此轮入口重塑中赢得先机。 算力投入方面，阿里已明确将AI作为未来优先级方向之一，计划在未来三年内投入超过3800亿元人民 币用于技术研发和基础设施，并有望上移该目标。通过大规模资本开支，阿里正在走通"云需求提升→ 资本开支投入→云基础设施完善→云需求提升"的商业闭环，AI相关产品收入已连续九个季度实现三位 数同比增幅。应用抢滩方面，阿里通过"通义千问"大模型家族的全尺寸、全模态、多场景开源，成为全 球开源模型领导者，结合阿里云基础设施，打造AI应用入口：钉钉成为服务企业客户的AI to B核心入 口;而夸克与千问则共同构成了面向个 ...