格隆汇12月18日丨常山北明(000158.SZ)在投资者互动平台表示,公司常山云数据中心与阿里云存在合 作。 ...

Core Insights - Computing power has become the core engine driving global economic development, with the competition landscape characterized by multi-dimensional comprehensive games, where the US and China lead the first tier, while the EU, ASEAN, Middle East, and India showcase unique characteristics [1][7] Group 1: Global Computing Power Landscape - The US has built a complete industrial ecosystem in chip design, AI foundational software, and technical talent, focusing on protecting innovation and national security, with tech giants increasing capital expenditure on high-performance computing and AI applications [1][7] - China ranks second globally in computing power, leveraging the "East Data West Computing" project to establish a national integrated computing network, supported by a strong policy framework and abundant green energy resources [1][7] - The EU emphasizes policy integration, focusing on green low-carbon initiatives and data security, aiming to enhance local semiconductor industry capabilities [1][7] Group 2: Emerging Economies and Trends - Emerging economies like ASEAN are leveraging digital economic growth to attract international investments, while the Middle East is creating green computing hubs, and India is experiencing explosive growth in computing demand driven by its population dividend [1][7] - The global computing power industry is witnessing rapid expansion, technological upgrades, diversification of application scenarios, supply chain restructuring, business model innovation, and a focus on sustainable development [1][7] Group 3: Strategic Importance of Computing Power - Computing power has evolved into a strategic resource comparable to oil and rare earths, influencing national competitiveness and global order [1][30] - The global computing power scale reached 1397 EFLOPS in 2023, a 54% year-on-year increase, with projections indicating it could exceed 16 ZFlops by 2030 [1][31] - The demand for computing power is driven by technological innovation, particularly in AI, and the rapid growth of the digital economy, with significant investments from major tech companies [1][35][36]

Core Viewpoint - The company has adjusted its revenue target for 2021, increasing it by several hundred billion yuan while maintaining the original timeline of 2029-2031, reflecting a strong commitment to AI cloud services and a belief in the growth potential of its products [2][29]. Group 1: Revenue and Growth - The daily token processing volume of the Doubao model has exceeded 50 trillion, with a growth rate of over 200% in six months, driven by both internal applications and external clients [2][22]. - The company has observed a significant increase in demand for image and video generation capabilities, particularly with the maturation of models like Seedream and Seedance [3][22]. - The overall revenue from MaaS (Model as a Service) has surpassed expectations, contributing to the company's confidence in maintaining market share despite increasing competition [4][32]. Group 2: Product Development and Innovation - The company has upgraded several large models, including Doubao 1.8, which enhances multi-turn instruction adherence and OS Agent capabilities, allowing for the processing of longer videos [3][6]. - A new pricing strategy called the "saving plan" has been introduced, which encourages deeper usage of various models by offering discounts based on overall consumption rather than individual model pricing [4][10]. - The introduction of the Doubao Assistant API simplifies the integration of advanced capabilities into client applications, significantly lowering the barrier for innovation [12][17]. Group 3: Market Position and Strategy - The company views the increasing competition in the AI cloud sector as a positive development that can expand the overall market size, allowing for mutual growth among competitors [30][32]. - The company emphasizes the importance of accelerating growth and innovation, focusing on the speed of development rather than just the current market position [8][32]. - The company has established a comprehensive product ecosystem that integrates various AI capabilities, positioning itself as a leader in the MaaS market [21][29].

此外，南航面向一线员工推出了移动端隐患上报工具，可自动识别隐患类型并匹配责任单位。官方表 示，该系统旨在提升安全隐患识别的准确率与处置效率。南航方面称，此次合作是推动AI与航空安全 融合的尝试，未来将持续完善相关能力。 凤凰网科技讯 12月18日，南方航空（600029）与阿里云联合发布"天盾"安全大模型1.0版本，主要用于 飞行训练、航班预警和故障检修，具备多模态风险识别、飞行操作评估及故障智能处置等核心功能。 据介绍，"天盾"具备多模态风险识别、飞行操作评估及故障智能处置等功能。其通过融合飞行数据构建 评估体系，飞行员可通过自然语言交互获取定制化训练报告。在运行层面，该系统已应用于飞机故障智 能处理、航班运行风险可视化预警及飞行员能力洞察等方面。 ...

Core Insights - Xiaomi successfully held the "Human-Vehicle-Home Ecosystem" Partner Conference in Beijing, showcasing its latest IoT platform capabilities and user experience innovations [1][3] Group 1: IoT Platform Progress - As of Q3, Xiaomi's IoT platform has surpassed 1 billion connected devices, reaching 1.04 billion units, with the Mi Home app achieving over 110 million monthly active users [3] - The annual shipment of Xiaomi IoT modules has exceeded 10 million units for the first time, solidifying its position as a leading global smart ecosystem platform [3] - Xiaomi has partnered with over 15,000 companies globally, including renowned brands like Miele, Bosch, Siemens, and LG, while also focusing on social responsibility initiatives [3] Group 2: Future Innovations - Xiaomi introduced the Xiaomi Miloco smart home exploration plan, which integrates visual perception into smart home systems, allowing users to create smart rules through natural language [3] - The company is collaborating with leading brain-computer interface firms to enhance interaction possibilities for individuals with mobility impairments [4] Group 3: AI and Ecosystem Integration - The IoT Future Summit 2026 highlighted the role of AI in driving innovation across the entire ecosystem, moving beyond isolated breakthroughs to a comprehensive approach [6] - Various partners presented advancements in smart solutions, emphasizing user experience improvements and seamless integration of devices [6][7] - Xiaomi's IoT platform is transitioning towards "spatial intelligence," focusing on proactive decision-making through multi-modal perception and distributed computing technologies [7][11] Group 4: User Experience Enhancements - The IoT Ecosystem Access and Experience Innovation Forum focused on the new capabilities of the Mi Home 11.0 experience, addressing user demands for comfort, safety, and energy efficiency [9] - Xiaomi upgraded its scene capabilities and 3D central control interactions, enhancing user experience for over 110 million monthly active users [9] Group 5: Technical Developments - The IoT Platform Technology Forum showcased a full-stack upgrade of Xiaomi's IoT capabilities, including the launch of the IoT-BLE 2.0 module matrix and advancements in AI-driven device interactions [11] - The forum discussed strategies for AIoT developers in the context of global trends in security and privacy compliance [11] Group 6: Exhibition Highlights - The conference featured an IoT exhibition area displaying various smart home solutions, IoT connection technologies, and the overall capabilities of Xiaomi's IoT platform [13]

Group 1 - Microsoft is expected to collaborate with Kimi to launch new Agent features for Office products, aiming for automation to compete with local firms [1] - Kimi's k2 model has been integrated with Microsoft Azure, indicating a strategic partnership to enhance application capabilities [1] - Alibaba Cloud has taken a different approach by fully open-sourcing its Qwen model, positioning itself as a significant player in the global AI landscape [1] Group 2 - The number of Qwen derivative models has surpassed 180,000, significantly exceeding Meta's Llama series [2] - Qwen has achieved over 700 million downloads globally, making it the leading open-source AI model [2] - Alibaba Cloud aims for Qwen to become an industry standard, similar to Linux for servers and MySQL/Hadoop for data [2] - AWS and Microsoft are accelerating their self-developed model efforts, indicating a critical self-correction phase to enhance their competitive edge [2]

Core Insights - Southern Airlines and Alibaba Cloud jointly launched the "Tian Dun" security model on December 18, which is based on the Qianwen multimodal large model and Southern Airlines' safety management system [1] Group 1 - The current version of the model is 1.0, primarily used for flight training, flight warning, and fault repair [1] - The model features core functions such as multimodal risk identification, flight operation assessment, and intelligent fault handling [1]

转自：中国网 2025年12月14-15日，第二届"兴智杯"全国人工智能创新应用大赛总决赛暨人工智能赋能应用与创新生态活动在深圳前 海宝安片区举行，本次活动由中国信息通信研究院、深圳市人工智能产业办公室、深圳市前海深港现代服务业合作区 管理局、深圳市宝安区人民政府共同主办。经过14日专题赛决赛及总决赛的激烈比拼，15日上午举行的大赛颁奖典礼 暨人工智能赋能应用与创新生态论坛将本次活动推向最高潮。论坛邀请来自政府、企业、高校、科研机构等领导嘉 宾，共同探讨人工智能领域技术创新趋势、应用落地路径等重大议题，发布"兴智杯"大赛特色优秀成果，并在论坛中 为大赛优胜团队进行颁奖。论坛吸引三万余人通过视频号、直播平台等渠道在线观看。工业和信息化部科技司副司长 杜广达、广东省工业和信息化厅副厅长曲晓杰、中国信息通信研究院党委书记李冠宇、深圳市工业和信息化局副局长 林毅等领导以及产学研各界嘉宾约500人现场参加活动。 大赛获奖选手领奖 在大赛颁奖环节，工信部科技司、广东省工信厅、深圳市工信局、中国信通院以及宝安区、前海区领导为大赛获奖选 手颁发一、二、三等奖及优胜奖。 中国信通院人工智能研究所魏凯所长汇报大赛举办情况 中国信 ...

慢守：十年重仓，熬出真价值 你发现没，段永平这两年重新走到公众面前，压根不是来蹭热度的，而是带着他的 "慢哲学" 给市场上 了堂大课。 作为手里攥着 825 亿元资产的大佬，他最让人佩服的地方，就是能沉得住气死磕到底。 拿茅台来说，他一持有就是十几年，2012 年塑化剂事件闹得行业鸡飞狗跳时，他敢抄底；2024 年白酒 行业又遇调整，他接着加仓。 就算到了 2025 年，茅台价格还在波动，他依然笃定得很："库存放着能变成年份酒增值，这商业模式压 根没坏"。 更让人意外的是苹果，2025 年二季度他逆势增持90 万股，手里持有的股份占比高达 62.47%，反观同期 巴菲特都在减持苹果，这对比简直鲜明。 说句实在话，这种 "慢" 可不是懒，而是看透了生意本质后的心里有底。他老挂在嘴边的 "买股票就是 买公司"，可不是随便说说。 他看懂了茅台的品牌壁垒有多硬，也摸透了苹果的生态有多能打，所以根本不会被短期股价的涨跌牵着 鼻子走。 就像 2025 年底，茅台都开始打响 "稳价保卫战" 了，2026 年要聚焦三大核心单品，非标产品还要减 量。 没完成的 2025 年配额也停止投放，这波操作直接让飞天茅台批价从 1485 ...

Group 1 - JD.com has launched a "self-pickup" feature nationwide, allowing users to find nearby restaurants with a "self-pickup discount" option in the app [1] - This feature is expected to enhance JD.com's competitiveness in the instant retail market by meeting consumer demands for immediacy and flexibility while reducing delivery costs and time [1] Group 2 - Aishi Technology has signed a comprehensive cooperation agreement with Alibaba Cloud to collaborate on AI capabilities and global expansion [2] - The partnership aims to create advanced practices in AI video generation by integrating resources and technological advantages, enhancing user experience [2] - This collaboration reflects both companies' strategic positioning in AI technology application and content ecosystem development [2] Group 3 - Jieyue Xingchen has released a new series of AI Agent models called "Step-GUI," which includes cloud models and the first open-source edge model for mobile deployment [3] - This initiative demonstrates Jieyue Xingchen's innovation in AI technology and aims to increase market coverage [3] - The company needs to continue improving technical performance and adaptability to application scenarios to address market challenges [3]