Core Insights - Tencent has established new departments focused on AI, including AI Infra, AI Data, and Data Computing Platform, to enhance its large model research capabilities [3][4] - Yao Shunyu, a former researcher at OpenAI, has been appointed as the Chief AI Scientist and will report directly to Tencent's President, Liu Chiping [3] - Tencent is significantly increasing its recruitment of technical talent, with plans to add 28,000 internship positions over the next three years, focusing on AI and related fields [4] Group 1 - Tencent's new AI departments will be responsible for the development of large model data and evaluation systems, as well as the integration of big data and machine learning [3] - The AI Data and Data Computing Platform departments will be led by Liu Yuhong and Chen Peng, respectively, both reporting to Vice President Jiang Jie [3] - The company has launched the "Qingyun Plan," a recruitment initiative aimed at attracting talent in key areas such as large models, with customized training programs and uncapped salary levels [4] Group 2 - Tencent's recruitment plan includes over 70 types of positions across five categories: technology, product, design, marketing, and functions, with a strong emphasis on AI, big data, and cloud computing [4] - The company anticipates welcoming 10,000 new interns in 2025, with 60% of these positions dedicated to technical roles [3][4]

从此次腾讯新成立的部门看，AI Data部、数据计算平台部将分别负责大模型数据及评测体系建设、大数据和机器学习的数据智能融合平台建设工作。大模 型研发架构中，大语言模型部副总经理为王迪，向姚顺雨汇报。AI Data部负责人、数据计算平台部负责人分别是刘煜宏和陈鹏，均向公司副总裁蒋杰汇 报。 多家国内科技大厂都在吸纳顶级AI人才。 第一财经记者获悉，腾讯今日新成立AI Infra部、AI Data部、数据计算平台部，以强化大模型研发体系与核心能力。姚顺雨出任"CEO/总裁办公室"首席AI科 学家，向腾讯总裁刘炽平汇报，他同时兼任AI Infra部、大语言模型部负责人，向技术工程事业群总裁卢山汇报。 姚顺雨是OpenAI前研究员。今年9月，就有市场传言称姚顺雨被高薪招入腾讯，彼时腾讯"鹅厂黑板报"公众号还辟谣了"姚顺雨上亿薪资入职腾讯"的消息。 从人才招聘看，今年腾讯对AI等技术人才有所偏重。今年4月，腾讯公众号发文称，公司开启"史上最大就业计划"，三年内将新增2.8万个实习岗位并加大转 化录用。2025年公司将迎来 1万名校招实习生，有60%的岗位面向技术人才开放。 腾讯表示，今年开放的校招实习岗位涵盖技术、产 ...

(乡村行·看振兴)广西农民廖其智转型记：从掌勺大厨到"掌数据"新农人 中新网广西贺州12月17日电 题：广西农民廖其智转型记：从掌勺大厨到"掌数据"新农人 中新网记者蒋雪林 冬日午间，广西贺州市钟山县公安镇廖屋村的田野，仍是一片忙碌景象。公安镇廖屋村党总支书记、村 委会主任廖其智俯身察看新试种的菜苗，"这是板蓝根菜心，正在试种阶段。"他专注地检查着幼苗长 势。不远处，工人们正将清晨采摘的蔬菜打包装车，十余小时后，这批新鲜菜心将出现在广州等地的超 市货架上。 为带动更多村民共同发展，廖其智创办了种植专业合作社，创新推出多种合作模式。目前合作社已发展 社员121户，管理土地面积超过6000亩，涵盖蔬菜、优质稻、马蹄等多种作物。合作社每年发放的劳务 报酬超过2200万元，让村民在家门口就能获得稳定收入。 合作社的发展也吸引了年轻人回流。村民周艳红2019年从广东打工回乡后，在合作社引导下种植了50多 亩柑橘，还建起了养鸡场。村民廖桉保则办起了年出栏2万只的肉鸡养殖场。廖其智的儿子如今也选择 回乡参与合作社管理，毕业于重庆大学的儿媳也加入了经营管理团队。"年轻人带来新理念，他们尝试 的电商销售模式取得了不错效果。"廖 ...

Group 1 - The core viewpoint of the article highlights that Guizhou's digital industry is expected to exceed 280 billion yuan by the end of 2025, with an annual growth rate of 16.2% during the 14th Five-Year Plan period [1] - The software and information technology service sector is projected to surpass 100 billion yuan in revenue [1] - Guizhou has cultivated a number of competitive industries and enterprises, with 54 companies generating over 100 million yuan in revenue and 14 companies listed [1] Group 2 - The province has seen significant job creation due to the growth of the digital industry, with over 10,000 new jobs added since 2025, bringing the total number of digital industry employees to over 163,000 [1] - Guizhou is focusing on artificial intelligence opportunities, developing over 110 typical application scenarios for large models across 24 key industries since 2024 [1] - The number of data centers in Guizhou has increased from 7 in 2020 to 50, with total computing power expected to reach 150 EFLOPS by the end of 2025, of which over 97% will be intelligent computing [2] Group 3 - Guizhou has aggregated 58,000 data resources and achieved over 11 billion data sharing and exchange instances, maintaining a leading position in data sharing and openness in China [2] - The province has opened 24,000 data sets, reflecting its commitment to unlocking the value of data [2]

Core Viewpoint - The future winners in the insurance industry will not be those who sell the most policies, but those who understand their customers best, manage risks effectively, and integrate ecosystems as "life service partners" [1][29]. Group 1: Innovation Challenges - The insurance industry is at a crossroads, facing the dual pressures of emerging technologies like AI, big data, and IoT, and the traditional "stable gene" that emphasizes risk management and process rigor [5][33]. - The first dilemma is the "creative destruction" described by Joseph Schumpeter, where traditional insurance models are being disrupted by new technologies and customer demands for simpler, more flexible products [13][41]. - The second dilemma involves the difficulty of "organized innovation" as outlined by Peter Drucker, where many insurance companies react to changes rather than proactively manage innovation systematically [15][43]. - The third dilemma is the "disruptive innovation" challenge highlighted by Clayton Christensen, where established companies may overlook emerging competitors targeting lower-end markets, leading to their eventual decline [17][45]. Group 2: Strategies for Overcoming Challenges - The first strategy is to embrace Schumpeter's idea of proactive self-revolution, encouraging companies to invest in digital platforms and integrate insurance with health and wellness services [19][47]. - The second strategy involves implementing Drucker's principles by establishing dedicated innovation departments, creating incubators for promising projects, and reforming performance metrics to focus on long-term customer value [21][49]. - The third strategy is to adopt a "dual-track innovation" approach, where one track focuses on optimizing existing products for mainstream customers, while the other track explores disruptive opportunities in new markets [25][52].

Core Insights - The financial development logic is shifting from "scale expansion" to "quality upgrade," with digital finance being reshaped by new technologies such as AI, big data, blockchain, and cloud computing, emphasizing intelligent, scenario-based, and inclusive finance as new competitive advantages globally [1] - Digital finance is accelerating its penetration into the entire financial service chain, becoming a key engine for improving the quality and efficiency of the financial industry, while also presenting new challenges such as data security and cross-border regulatory adaptation [1] Digital Finance and Technological Finance Collaboration - The core content of building a strong financial nation is to vigorously develop digital finance and technological finance, where technological finance provides support and digital finance offers operational methods [2][3] - Policies are being implemented to enhance the deep integration of technological finance, digital finance, and the real economy, with local policies accelerating their implementation [3] Policy Framework and Local Initiatives - A framework for the deep integration of technological finance, digital finance, and the real economy is being rapidly improved, with local policies like those from Beijing's Haidian District focusing on creating a diversified financial service system that meets the financing needs of technology enterprises [3] - Key initiatives include upgrading venture capital ecosystems, expanding credit for technological innovation, enhancing support for public listings, and extending technology insurance to better serve small and medium-sized enterprises [3] Core Value of Digital Finance - Digital finance is recognized as a "key engine" for serving the real economy, with a consensus that it should act as an accelerator for high-quality economic development [4] - The core value of digital finance lies not only in exploring new markets but also in enhancing the survival capabilities of the financial industry, helping it operate steadily in complex environments [4] Trends in Digital Finance - The "China Financial Technology and Digital Finance Development Report (2025)" identifies five trends in digital finance, including the integration of generative AI into core banking operations, the evolution of AI agents into collaborative business partners, breakthroughs in quantum computing for financial applications, differentiated strategies for digital investments, and the importance of data governance and security for future growth [4] Challenges in Digital Finance - Despite positive trends, digital finance faces challenges such as insufficient compliance for cross-border data flow and lagging regulation for new business models, necessitating a balance between innovation and security [5] - The relationship between innovation and security in digital finance should be viewed as a mutually reinforcing cycle, promoting high-level financial regulation and innovation to prevent risks while fostering an inclusive innovation environment [5]

Core Insights - Hefei Shengyuedongying Technology Co., Ltd. has been established with a registered capital of 100,000 RMB and is represented by Li Shengfeng [1] Company Overview - The company is engaged in a variety of services including technology services, development, consulting, and transfer [1] - It also manufactures and wholesales sports goods and equipment, and is involved in internet sales excluding licensed products [1] - Additional activities include the production of teaching models and aids, wholesale of stationery, and sales of recreational and indoor gaming equipment [1] Industry Activities - The company offers digital cultural creative technology equipment sales, software development, big data services, and artificial intelligence application software development [1] - It provides information system integration services and IT consulting services [1] - The company is involved in sports health services, fitness and leisure activities, and organization of sports competitions [1] Logistics and Trade - Hefei Shengyuedongying Technology Co., Ltd. engages in domestic and international freight forwarding, including container transport [1] - It also handles import and export activities, along with agency services for non-licensed businesses [1]

原标题：数字孪生水利体系建设进展如何？这场发布会详细介绍 数字孪生水利体系建设，是推动水利高质量发展、保障国家水安全的重要途径。当前数字孪生水利 体系建设取得哪些进展？面向未来，数字孪生水利体系建设如何更进一步？水利部16日举行新闻发布 会，介绍相关情况。 水利部信息中心主任付静介绍，数字孪生水利体系，即通过大数据、云计算、人工智能等数智技术 和水利业务深度融合，把江河湖泊、水利工程"搬进"数字世界来实现进行智能模拟、预报的调度预演， 为水旱灾害防御、水资源管理与调配等水利工作提供"大脑"。 水利部副部长王宝恩表示，按照"需求牵引、应用至上，数智赋能、提升能力"原则，"十四五"以来 我国数字孪生水利体系建设取得多方面成效。 数字孪生水利体系框架基本形成。王宝恩介绍，水利部门完成94项数字孪生流域建设先行先试任 务，分批推进14个省级水网先导区数字孪生水网建设，数字孪生三峡、南水北调等11个重点工程投入实 战应用，49处数字孪生灌区先行先试、230个数字孪生农村供水工程建设取得阶段成效。 "天空地水工"一体化监测感知系统加快构建。"目前我国已形成涵盖34颗遥感卫星、180余部测雨雷 达、13.6万处地面水文报汛 ...

Core Viewpoint - The Shandong Provincial Department of Industry and Information Technology, along with five other departments, has issued the "Shandong Province Red Mud Comprehensive Utilization Action Plan" to promote the reduction, control, and utilization of red mud, aiming for a comprehensive utilization rate of over 18% by 2027 [1][2]. Group 1: Red Mud Management - Red mud is a key industrial waste generated during alumina production, and Shandong is a major alumina production province with significant red mud generation and storage challenges [1]. - The plan emphasizes a lifecycle management system covering "generation—transportation—utilization—disposal" with a focus on "reduction, resource utilization, and harmlessness" [1]. Group 2: Technological Advancements - The plan encourages alumina production companies to enhance technological upgrades, utilizing big data and artificial intelligence for green and intelligent transformations [1]. - Establishing intelligent production systems with functions for process optimization, dynamic scheduling, and energy consumption management is a key objective [1]. Group 3: Utilization Pathways - Shandong will optimize the "low-cost selection of metal elements from red mud + roadbed, building materials, permeable bricks, and road slope protection" model to expand the scale of existing utilization pathways [2]. - Cities like Zibo, Yantai, Liaocheng, and Binzhou are encouraged to produce various products from red mud, including sintered bricks, non-fired bricks, and permeable bricks, while also exploring its use in construction materials and chemical products [2].

有效避免金融资源错配。传统金融模式服务小微企业风险高、成本高，支持小微企业意愿不足，导 致信贷资源过度向大企业集中，形成规模错配问题。数字金融的灵活性和创新模式，能够有效提升产品 和服务的精准性，优化中小企业融资环境。例如，微众银行推出线上无抵押企业流动资金贷款产品"微 业贷"，授信企业中，年营业收入1000万以下的小微企业占比超70%。同时，传统金融模式依赖历史财 务数据和抵押物，难以评估初创期、成长期科技型企业的创新价值，更倾向于服务成熟期传统企业，导 致资金无法有效流入战略性新兴产业，形成领域错配问题。数字金融可以有效评估企业风险、信用与发 展潜力，能够提供更加高效、便捷、低成本的金融服务，有助于满足初创期、成长期科技型企业的金融 服务需求。 推动金融服务降本增效。数字金融以数字货币、移动支付等应用为支撑，推动金融机构缩短业务流 程，减少人工干预，提高支付、结算的效率和便捷性，持续提升服务实体经济效能。通过人工智能、区 块链、云计算、大数据等技术的深度应用，金融机构建立实时、精准的风险监控预警系统，不断加强对 潜在风险的预判，降低经营成本。新兴金融机构的技术创新和传统金融机构的数字化转型，能够有效突 破 ...