12月26日，全球青年智能体应用场景创新创业总决赛在南京雨花台区云密城正式开幕。本次赛事由共青团江苏省委、南京大学指导，全球校园人工智能算 法精英大赛组委会、共青团南京市委、中国(南京)软件谷管理委员会联合主办，南京银行（601009）股份有限公司、江苏省人工智能学会承办。来自全国 各地的参赛选手齐聚金陵，展开了一场聚焦前沿技术、彰显创新实力的"人工智能算法巅峰对决"。大赛以智能体应用场景创新为核心，汇聚全球青年创新 创业精英，成功搭建起交流展示、合作共赢的优质平台。 上午8时30分，开幕式正式拉开帷幕。江苏省人工智能学会秘书长房伟介绍，大赛以"科技赋发展青春创未来"为主题，设置三大核心赛道，自9月启动以来 吸引国内外250所高校738支团队及42支企业团队参赛，经初赛、复赛层层筛选，最终85支优秀团队晋级总决赛；他特别感谢共青团南京市委、软件谷管委 会及南京银行提供的全方位支持，并表示，本次大赛为全球青年搭建了施展才华的舞台，希望选手们赛出水平与风采，预祝赛事圆满成功、各团队收获佳 绩与成长。 房伟 南京银行首席信息官余宣杰认为，南京银行正以"云化、线上化、智能化"三化建设推进数字化转型，通过多元产品与服务 ...

Core Insights - 360 Zhiyu's enterprise-level intelligent agent platform won the "Best Application Development Award" at the 2025 China Internet Economy Forum, recognizing its comprehensive capabilities in agent development, management, and operation [1][4] - The platform is positioned as a new benchmark in the AI agent field, providing practical AI application solutions for large organizations [1][4] Group 1: Technological Breakthroughs - The platform is the world's first enterprise-level intelligent agent platform covering L2-L4 capabilities, establishing a new industry standard through three technological advantages [3] - It features a leading technical architecture based on the SEAF intelligent agent factory, integrating eight infrastructures and ten enhancement capabilities, supporting flexible combinations of multiple models and knowledge bases [3] - A pioneering security protection system for the entire lifecycle of intelligent agents has been established, covering 12 dimensions including supply chain security and data access auditing [3] Group 2: Industry Applications - The platform has successfully implemented benchmark cases in over 20 fields, including urban governance, aviation, healthcare, and education, demonstrating its business value transformation capabilities [3] - For instance, a smart government agent cluster developed for a municipality improved policy matching efficiency by 95%, while a police smart agent increased warning accuracy to over 90% [3] Group 3: Future Outlook - The award validates 360 Zhiyu's commitment to the "All In Agent" strategy, creating a complete closed loop of technology, products, and ecosystem [4] - The company plans to launch a "Thousand Industries" ecological cooperation plan to address AI pain points in enterprises, providing comprehensive support from solutions to implementation [4] - The modular architecture and adaptability to trusted environments effectively address the high development threshold, industry adaptation challenges, and security concerns for government and enterprise users [4]

2025年，AI领域的发展令人目不暇接，一系列新概念不断涌现并重塑着行业格局。《麻省理工科技评 论》评出十大年度AI热词。 读懂这些词，或许也就读懂了2025 年我们如何被AI改变。 1. 氛围编程 三十年前，苹果联合创始人 史蒂夫·乔布斯 提出：每个人都应该学习编程。而今天，编程正在被重新定 义。OpenAI联合创始人安德烈·卡帕西所提出的"氛围编程（Vibe Coding）"，它不是一种新语言，而是 一种新方式：人只需用自然语言表达目标和逻辑，具体代码由AI自动完成。 在氛围编程中，开发者只需要告诉AI：想做一个什么样的应用、需要哪些功能、整体的体验应该是什 么感觉；AI则负责生成代码、调整细节，并在反复对话中不断迭代。 2. 推理模型 2025年，"推理"被反复提及，逐渐成为AI讨论中的核心词汇。这一热度背后，对应的是推理模型的崛 起：这类大语言模型通过多步拆解与连续推演，开始处理更复杂的问题。 自OpenAI发布o1和o3系列推理模型后，DeepSeek迅速跟进。如今，主流聊天机器人均已引入推理技 术，在数学和编程竞赛中达到了顶尖人类专家水平。但关于AI是否真正具备"推理"能力，也再度引发了 人们对智 ...

2025年，AI领域的发展令人目不暇接，一系列新概念不断涌现并重塑着行业格局。《麻省理工科技评 论》评出十大年度AI热词。 读懂这些词，或许也就读懂了2025 年我们如何被AI改变。 1. 氛围编程 三十年前，苹果联合创始人 史蒂夫·乔布斯 提出：每个人都应该学习编程。而今天，编程正在被重新定 义。OpenAI联合创始人安德烈·卡帕西所提出的"氛围编程（Vibe Coding）"，它不是一种新语言，而是 一种新方式：人只需用自然语言表达目标和逻辑，具体代码由AI自动完成。 在氛围编程中，开发者只需要告诉AI：想做一个什么样的应用、需要哪些功能、整体的体验应该是什 么感觉；AI则负责生成代码、调整细节，并在反复对话中不断迭代。 2. 推理模型 2025年，"推理"被反复提及，逐渐成为AI讨论中的核心词汇。这一热度背后，对应的是推理模型的崛 起：这类大语言模型通过多步拆解与连续推演，开始处理更复杂的问题。 自OpenAI发布o1和o3系列推理模型后，DeepSeek迅速跟进。如今，主流聊天机器人均已引入推理技 术，在数学和编程竞赛中达到了顶尖人类专家水平。但关于AI是否真正具备"推理"能力，也再度引发了 人们对智 ...

Core Insights - During the "14th Five-Year Plan" period, significant advancements have been made in fields such as integrated circuits, artificial intelligence, and foundational software, with over 1.19 billion products equipped with the open-source Harmony operating system [1] - More than 700 generative artificial intelligence models have been registered, indicating a rapid development in intelligent applications and innovation [1] Group 1: Information Technology Advancements - The level of information application in China has significantly improved, with internet penetration increasing from 70.4% to 79.7% [1] - The gap in internet penetration between urban and rural areas has narrowed by 8.2 percentage points compared to the end of the "13th Five-Year Plan" [1] Group 2: Agricultural and Rural Development - The rate of informationization in agricultural production has risen from 22.5% to over 30% [1] - The national rural online retail sales are projected to exceed 2.5 trillion yuan, representing a 43% increase compared to the end of the "13th Five-Year Plan" [1] - Telemedicine services are now available across all cities and counties in the country [1]

12月21日，由人民日报出版社支持，《国际金融报》提供媒体支持，金融科技50人论坛、北京立言金融 与发展研究院主办，长三角区域金融机构首席信息官联盟协办的"智能体重塑银行业：探索与挑战"闭门 研讨会暨《下一代AI入口——智能体与未来金融》图书发布活动在人民日报社上海分社举办。 来自政产学研领域的十余位专家学者，围绕核心议题展开深度研讨，凝聚行业共识。本次会议由《国际 金融报》总编辑徐冲主持。 AI重塑金融业 "'十五五'规划建议明确提出全面实施'人工智能+'行动，这一重大战略部署为金融行业智能化转型指明 了方向，也让智能体技术在银行业的应用从'可选'变为'必选'。"人民日报出版社副社长李凯在致辞时表 示。 李凯称，人工智能已成为产业升级的"必争之地"。而银行业作为实体经济的核心枢纽，通过智能体技术 实现效率提升与服务优化，正是落实"十五五"期间"科技赋能实体经济"要求的关键实践，为金融服务提 质增效注入全新动能，也为行业高质量发展开辟广阔空间。 国家金融与发展实验室副主任杨涛在"新形势下推动数字金融改革的重点"分享中提出，数字金融的首要 之变，是把主战场从"居民部门"转向"企业部门"。当前，企业部门数字化程度 ...

Core Viewpoint - The article emphasizes the upcoming AI showcase titled "AI Shining China," which aims to present the latest findings in artificial intelligence and robotics, highlighting the transformative impact of AI across various sectors [2][32]. Group 1: Event Overview - The AI showcase will take place on December 28, featuring a four-hour presentation that includes performances and insights into AI advancements [3][32]. - The event is described as a blend of stunning visuals, impressive performances, and deep reflections on the future of AI [2][3]. Group 2: AI Trends and Insights - The article identifies 2023 as the "Year of AI Enlightenment" and "Year of AI Applications," noting significant changes in areas such as text writing, e-commerce, and industrial applications due to AI [2]. - Key themes for the showcase include the competition between China and the U.S. in AI, the revolution in content production through multimodal capabilities, and the emergence of AI models that are reshaping industries [6][7]. Group 3: Future Market Potential - The article suggests that robotics represents a potential market worth 10 trillion, indicating significant growth opportunities in this sector [7]. - The event will also explore the concept of "Industrial 5.0" and the end of the "traffic era" in e-commerce, signaling a shift in how businesses operate and engage with consumers [7].

当前，人工智能正以前所未有的广度与深度重塑银行业发展格局。 近日，一场聚焦"智能体重塑银行业：探索与挑战"的闭门研讨会在上海举办。与会者围绕智能体（AI Agent）在银行业的落地路径、现存挑战与未来前景，展开深度交流，勾勒出一幅"人机共生"的金融新 图景。 智能体迈入"人机协作"阶段 2025 年，国务院印发《关于深入实施"人工智能+"行动的意见》，明确要求推动大模型等前沿技术与实 体经济深度融合；中国人民银行亦明确提出"安全稳妥有序推进人工智能大模型等在金融领域应用"，为 行业技术创新划定方向。 金融智能体作为人工智能与金融业深度融合的核心载体，正加速落地渗透，为金融业开启"人机共生"的 全新发展生态。中国银行业协会原首席信息官高峰介绍，行业已形成L1—L5五级智能体分级标准，目 前行业普遍处于L3级人机协作基础阶段，即机器在人类设定目标后，可独立处理客户服务、财富管理 等业务。 未来，金融智能体的发展将摒弃形式化部署，以实际业务价值为核心衡量标尺，并坚守"人机融合"，在 关键环节保留人工干预。浦发银行科技发展部副总经理周骏认为，2025年作为"大模型元年"，AI已从聊 天机器人迈向智能体阶段，正转向商业 ...

Core Insights - AI technology is undergoing a paradigm shift, evolving from simple chatbots to autonomous agents capable of complex task execution and integration into core business processes [1] - The capital market is reassessing AI investments, with discussions around the AI bubble as tech giants' spending on infrastructure reaches trillions, while short-term revenue growth appears disproportionate [1] - Amazon Web Services (AWS) is addressing market concerns by providing a systematic approach to AI cost management and infrastructure upgrades [2] Infrastructure Innovations - AWS is restructuring its AI cost model by upgrading core services, including a significant increase in Amazon S3's object storage limit from 5TB to 50TB, simplifying the handling of large models [3] - The introduction of Amazon S3 Vectors allows for the storage and management of trillions of vector data at a 90% lower cost, enhancing efficiency in data handling [4] Computing Resource Strategy - AWS employs a dual-track strategy for computing resources, ensuring compatibility with NVIDIA while developing proprietary chips like Amazon Trainium to offer cost-effective options [6][7] - The latest Amazon Trainium 3 UltraServers demonstrate a 4.4x increase in computing power and a 5x improvement in energy efficiency compared to previous generations [9] AI Model Ecosystem - AWS's Amazon Bedrock platform offers a diverse range of models, including new additions from Google and OpenAI, allowing businesses to select models tailored to their specific needs [11][13] - The launch of the Nova 2 model series focuses on cost efficiency and performance, with Nova 2 Lite designed for low-complexity tasks and Nova 2 Pro for high-demand scenarios [14][15] Agent Development Framework - Amazon Bedrock AgentCore standardizes the development of AI agents, enabling businesses to assemble agents that can independently execute tasks [16][17] - The framework allows for the integration of multiple specialized agents within a single workflow, enhancing flexibility and efficiency in task execution [18][19] Quality Control and Trust - AWS introduces a policy management feature in AgentCore to ensure compliance and control over agent actions, addressing concerns about reliability and safety [20] - The AgentCore Evaluations tool provides comprehensive performance assessments, allowing for early detection of issues during the development phase [20] Enterprise Integration - Amazon Quick Suite aims to streamline data access across various business systems, enhancing productivity by reducing the need for manual data retrieval [22] - The introduction of Amazon Transform facilitates the modernization of legacy systems, enabling smoother transitions to cloud environments [24] Software Development Evolution - The Kiro Autonomous Agent represents a shift in software engineering, allowing AI to autonomously complete tasks and collaborate with human developers [25][27] - This evolution signifies a move towards a model where AI handles routine coding tasks, freeing developers to focus on core business innovations [27]

目前"有条件的自动驾驶"功能仅限在北京市京台高速（大兴区旧宫新桥一机场北线高速）、机场北线高 速（大渠南桥一大兴机场高速）及大兴机场高速（南六环一机场北线高速）路段开启。在其他道路或区 域，该功能将被系统强制关闭。 钛媒摘声： 随着储蓄意识增强，消费预算相应缩减，这一趋势体现在多个方面：基础消费仍保持相对稳 定，而过去几年兴起的"新消费"领域——即各类网红品牌、新兴品牌扎堆涌现的赛道——则 可能受到一定抑制。消费终究是生产的最终目的，因此消费需求不会消失，但结构将发生变 化。 ——天图投资创始合伙人 冯卫东 智能体这个概念现在还不统一，但它既不是基础模 型，也不是Agent工具。从工具平台到行动系统， 真正的智能体不是孤立的基础模型或工 具，而是能替代或增强一类岗位的完整体系，必须具备三大核心能力：场景数据处理、基于 数据的模型训练，以及将模型无缝嵌入现有工作流的能力。 ——滴普科技创始人、董事会 主席、执行董事兼首席执行官 赵杰辉 国内公司： 字节跳动据称拟豪掷千亿加码AI布局，预留850亿狂囤芯片 12月23日消息，据报道，字节跳动计划明年进一步扩大其在人工智能领域数十亿美元的投入。两位知情 人士透露，公 ...