2、2026年大陆高校面向港澳研究生招收工作今日启动 1月4日，2026年内地面向港澳地区研究生招收程序启动。考生须以实名注册"学信网"账号，并用"学信 网"账号在4日至11日登录"内地（祖国大陆）高校面向港澳台招生信息网"进行报名，报名期间系统24小 时开放，考生须按要求填写及上传个人信息。 （原标题：今日看点｜韩国总统李在明访华） 1月4日重点关注的财经要闻与资本市场大事： 1、韩国总统李在明访华 据外交部网站消息，韩国总统李在明将于2026年1月4日至7日对中国进行国事访问。此访是李在明就任 后首次访华，他也将是新年首位来访的外国元首。 据了解，每位考生只限报读一所招生院校的一个专业，逾期不得补报，也不得修改信息。网上确认阶段 于1月15日至19日进行，考生须按要求登录系统上传个人身份证明和学历证明。 3、2026全国智能体开发者大会将举行 1月4日，2026全国智能体开发者大会在常州举行。本次大会是学会推动人工智能技术扎根地方、赋能实 体的重要举措，也是常州立足雄厚产业基础抢抓智能体技术风口的关键一步。 经济观察网 编辑 王俊勇 整理 ...

人民财讯1月4日电，据"常州发布"，2026年1月4日，2026全国智能体开发者大会在常州盛大启幕。本次 大会是学会推动人工智能技术扎根地方、赋能实体的重要举措，也是常州立足雄厚产业基础抢抓智能体 技术风口的关键一步。 ...

Core Insights - The launch of the Doubao mobile assistant in late 2025 has created significant waves in the smartphone industry, being recognized by users as a "truly AI phone" due to its autonomous cross-application operation capabilities [1][5] - However, the Doubao mobile assistant faced usage restrictions in multiple applications, leading to an official statement on December 5 regarding adjustments to its AI operation capabilities [1][3] - The challenges faced by Doubao reflect broader issues in the AI phone sector, particularly concerning user privacy and data rights, which require collaborative efforts from various stakeholders [3][7] Group 1: Technology and Development - The rapid improvement of domestic open-source large models has provided a solid foundation for the iterative development of AI phones, shifting focus from cloud-based models to offline capabilities [4][13] - The announcement of the open-sourcing of the AutoGLM model by Zhiyu on December 9 signifies a move towards "technological equality" in the mobile agent space, potentially lowering development barriers [3][12] - The evolution of AI phones is not just about technological advancements but also involves a complex interplay of patience, restraint, and ecosystem collaboration [4][17] Group 2: Market Dynamics and Competition - The Doubao mobile assistant's features are not significantly different from previously demonstrated smart applications by other manufacturers, indicating that the market is still in the early stages of realizing cross-application autonomous capabilities [5][6] - The competition in the AI phone market is fundamentally about ecosystem development, requiring a shift from traditional app models to a more integrated approach that allows for cross-application automation [17][21] - The emergence of AI agents is seen as a potential battleground for user engagement and control over data, with manufacturers needing to navigate the complexities of user habits and regulatory compliance [8][17] Group 3: Industry Challenges - The current landscape reveals a "standard vacuum" regarding user authorization and data rights, complicating the implementation of AI agents that require cross-application functionality [7][18] - The transition to AI agents necessitates a reevaluation of existing operational models, as traditional single-operation authorization methods are inadequate for the demands of AI-driven tasks [7][18] - The industry faces challenges related to memory and power consumption as the capabilities of end-side models expand, necessitating advancements in hardware to support these new demands [18][20] Group 4: Future Outlook - The AI phone competition is evolving from a focus on hardware specifications to a comprehensive race involving end-side capabilities, ecosystem openness, and user experience [21][22] - The integration of AI capabilities into hardware is expected to reshape traditional consumer electronics business models, moving towards subscription-based software services [20][22] - The developments surrounding the Doubao mobile assistant highlight the need for industry-wide collaboration to address the challenges of rights, interests, and standards in the evolving AI landscape [20][22]

深圳商报·读创客户端首席记者 王海荣 12月17日，毕马威中国大湾区科技咨询合伙人李良接受深圳商报·读创客户端记者采访时表示，过去依 赖土地增值和高速周转的"外延式"增长已难以为继，未来的核心必然转向通过好产品和精准投入来实 现"内涵式"发展。AI正是实现这一转向的关键工具，它让房企有能力像精密仪器一样去理解客户、设计 产品和测算投资，从"凭经验"转向"凭数据做精品"。 组合应用多维技术推动AI 与不动产融合 随着AI智能体逐步承担起巡检、客服、数据分析等标准化任务，不动产管理岗位的角色将从任务的直 接执行者转变为人机协同的规划者与决策者。未来的管理者更像一位AI训练师，其核心工作不再是亲 力亲为处理日常事务，而是精准定义运营中需要被优化的复杂问题，为AI设定清晰的目标和规则，并 对其输出的结果进行专业判断与纠偏。 图片说明：毕马威中国大湾区科技咨询合伙人李良（左一）17日在深圳主持主题为"XIN链接·构建以用 户为中心的AI基座"的圆桌讨论。 （受访单位供图） 李良认为，深圳作为科技与不动产深度融合的前沿，在培养新型管理者方面应充分发挥产业生态优势。 他建议采取"打破壁垒，在真实场景中淬炼"的核心路径，比如 ...

此外，驿站充分融合汇金国际商务社区"科技基因"，将智能体技术与区域内就业服务场景深度融 合，创新开发JobSeek就业智能助理，通过AI赋能有效链接供需，实现人岗精准匹配、政策精准推 送。"JobSeek不仅能像智能导航一样为求职者推荐合适的岗位，还集合了查询政策补贴、推送楼宇活 动、归纳周边信息等多种功能，是一个可以满足员工多维需求的'智慧百科'。"企航驿站负责人介绍。 据悉，在长庆·汇金"企航驿站"，不仅有现场招聘会，还在楼宇内设置固定招聘服务点，每月安排 企业现场招聘，并为重点群体提供简历优化、面试技巧指导等一对一服务。据悉，"企航驿站"平均每场 提供岗位超200个，累计匹配意向人才1500余人次。 今年以来，驿站聚焦新业态发展趋势，开展直播电商、数字营销、人工智能应用等领域的技能培训 累计28期，培训超1200人次。驿站同步推动"技能培训+创业孵化"模式，已成功孵化小微企业5家、带动 就业超30人，实现"技能提升促就业，创业带动稳就业"的良性循环。 不仅如此，这里还有"零跑腿"窗口，可以实现全周期服务，比如人才落户、社保补贴、创业扶持、 劳动争议调解等业务的咨询与办理，真正成为楼宇企业和员工的就业服务 ...

面对日益复杂的网络电信诈骗形式，抖音持续加强反诈能力建设，除持续升级的验证助手外，再添智能化反诈新工具。据悉，抖音官方智能防护助手账 号"抖音反诈"已上线新功能，新增全天候智能服务。 作为抖音官方反诈账号，"抖音反诈"核心内容包括教育与预警新型骗局，分享实用防骗技巧，不断加强用户防诈意识等。为让用户在遭遇风险时能第一 时间获得帮助，抖音依托智能体技术与平台长期累积的反诈治理经验，近日推出智能服务，全天候在线为用户提供防护。 当用户在平台遭遇可疑情况时，只需通过抖音搜索"抖音反诈"，进入账号，关注账号后打开私信页面，描述问题并发送即可获得反诈相关内容的回应。 智能体将基于抖音反诈知识库与高发骗局识别模型，对用户发送的问题进行实时分析、响应，提供具体的甄别建议与验证方式，实现从咨询、验证到举 报的一站式服务。 此功能是抖音在反诈工具上的持续升级。早在2024年12月，针对仿冒客服诱导共享屏幕等诈骗，抖音就推出了官方信息验证工具"验证助手"，用于甄别 可疑来电号码、短信或网址。今年以来，该功能历经多次升级，陆续上线了"一键查询官方联系记录""官方动态验证口令"等功能，并于今年11月进一步 新增了"会员服务"与"仿冒 ...

Core Insights - The article emphasizes that AGI is not the endpoint but the starting point towards ASI, with Alibaba Group's CEO categorizing the evolution into three stages: intelligent emergence, autonomous action, and self-iteration, currently in the autonomous action phase [2][3] Group 1: AI Development Stages - The current phase of AI is characterized by a shift from perception and generation to decision-making and action, driven by intelligent agent technology [3] - The transition to autonomous action is seen as a critical bridge towards self-iteration, enabling AI to create real-world value [3][19] Group 2: Technological Breakthroughs - Continuous breakthroughs in technology are essential for releasing AI's value, focusing on building foundational capabilities such as computing power, basic models, and technical ecosystems [4] - The integration of cloud computing and AI is creating a full-stack technology ecosystem, addressing resource and cost bottlenecks for scalable AI deployment [5][6] Group 3: Model Innovations - Large models are evolving from single-modal to multi-modal capabilities, enhancing AI's application scope across various fields such as education and healthcare [9][10] - Innovations like reinforcement learning from human feedback (RLHF) are improving models' abilities to solve complex tasks autonomously [10] Group 4: Application and Ecosystem Development - The rise of intelligent agents is reshaping software ecosystems, enabling dynamic decision-making and task execution [11][16] - Open-source initiatives are crucial for democratizing AI technology, with Alibaba contributing over 300 open-source models to lower development costs [13][14] Group 5: Industry Transformation - AI is driving systemic innovation across industries, enhancing operational efficiency and consumer experiences [20] - The global collaboration in AI innovation is reshaping industry structures and optimizing resource allocation, facilitated by AI cloud platforms [21] Group 6: Responsible AI Development - The article highlights the importance of a governance framework to ensure AI's sustainable development, addressing challenges like data privacy and algorithmic bias [25][26] - A collaborative approach involving industry, academia, government, and the public is essential for achieving responsible AI development [27]

Core Viewpoint - The company has confirmed the integration of the Model Context Protocol (MCP) into its Qiko intelligent platform, enhancing its capabilities in big data operations and service integration [1]. Group 1: Technology Integration - The Qiko intelligent platform is fully compatible with the MCP, allowing for efficient transformation of capabilities within intelligent agents and workflows [1]. - The technology has been applied across multiple product lines, including public safety big data and digital transformation for government and enterprises [1].

Core Insights - Nvidia reported Q3 revenue of $57.006 billion, a 62% year-over-year increase and a 22% quarter-over-quarter increase, with net profit rising 65% year-over-year to $31.910 billion [1] - The company is on track to meet its $500 billion revenue target related to high-performance computing data centers by 2026, with $150 billion of products already delivered [2] - Nvidia's supply chain is well-prepared to meet the growing demand for AI infrastructure, with partnerships across the technology sector [3] Financial Performance - Q3 revenue reached $57.006 billion, marking a 62% increase year-over-year and a 22% increase quarter-over-quarter [1] - Net profit for the quarter was $31.910 billion, up 65% year-over-year and 21% quarter-over-quarter [1] - Adjusted net profit, not in accordance with GAAP, was $31.767 billion, reflecting a 59% year-over-year increase [1] Market Demand and Supply - Nvidia's management confirmed that the demand for GPU products remains high, with full order books despite concerns about AI infrastructure investment returns [3] - The company has secured additional agreements, including a deal with Saudi Arabia for 400,000 to 600,000 GPUs over the next three years [2] - The transition from general computing to accelerated computing is ongoing, driven by the rise of generative AI [4] AI Infrastructure and Applications - Generative AI applications are expanding rapidly, with tools like code assistants becoming widely used across various roles beyond software engineering [5] - The training of AI models is progressing well, with significant advancements in performance and quality noted in Google's Gemini 3 model [6] - The industry is experiencing a shift towards accelerated computing, with generative AI replacing traditional machine learning methods [6] Future Growth and Investment - Nvidia's product architectures are expected to drive significant value growth in data centers, with each generation of products improving performance and cost efficiency [7] - The company anticipates that the capital expenditures required for its $500 billion target can be covered by customer cash flows, particularly from large-scale data center providers [7] - Global infrastructure funding will not be limited to large data center providers, as various industries are beginning to invest in AI technologies [8]

Core Insights - The Fourth China IPv6 Innovation Development Conference was held in Beijing, focusing on the theme "Accumulating Strength, Intelligent New Journey" [1] - The conference featured over 500 attendees from various sectors, including government, telecommunications, equipment manufacturing, internet companies, and academic institutions [1] - Keynote speaker Academician Wu Hequan emphasized that intelligent technology is a new starting point for IPv6 innovation, enhancing capabilities and promoting the development of the "IPv6+" initiative [1] Group 1 - The conference highlighted the significant growth in IPv6 traffic, with fixed network IPv6 traffic in eight key cities increasing by 63.14% year-on-year, and mobile network IPv6 traffic rising by 12.37% on average [3] - A new initiative, the "Second Batch of National Key Cities IPv6 Traffic Enhancement Special Action," was launched to further upgrade and transform key areas, aiming to elevate the national IPv6 development level [3] - The "Network NAT Removal" initiative reported that in nine pilot regions, the IPv6 connectivity rate for fixed broadband users reached 97.52%, with zero growth in NAT44 device capacity [3] Group 2 - The conference also saw the release of the "China IPv6 Development Report (2025)" by the expert committee, showcasing successful experiences and achievements in IPv6 innovation [5] - Experts from various organizations, including Huawei and CERNET, shared insights and successful practices in the field of IPv6 development [5]