大公司： L4级智能体母体系统MasterAgent全面开放 12月30日，全球首个L4级智能体母体系统MasterAgent全面开放，正式推出付费服务，以全栈自主研发 核心优势直面国际竞争。据介绍，该产品聚焦"安全可控"，构建全链路全国产化技术栈，摆脱外部技术 依赖，满足数据安全合规需求，填补国产多智能体协作平台空白。MasterAgent的框架式设计实现了对 Manus等传统智能体单体调度模式的突破，无需复杂编程，通过自然语言指令即可分钟级生成多智能体 集群，支持无限场景拓展。 鲸鸿动能在沪举办心·智沟通会，助力品牌重掌市场"主动权" 12月24日，鲸鸿动能在上海举办"心·智沟通会"。作为鸿蒙生态全场景智慧营销平台，其以数据科学与 全场景AI双引擎，推动营销从"流量竞争"转向"场景深耕"。具体而言：以数据科学驱动"先知"洞察、以 智能化技术实现"先手"触达、以场景内容激活"先机"抢占、以用户为中心开展全旅程伴随，赋能品牌重 掌市场主动权，重塑以人为本的智慧营销新生态。 京东与华为达成战略合作 36氪获悉，京东与华为技术有限公司于近日达成深度技术合作。根据合作规划，双方将成立联合创新项 目，重点攻坚"广告低 ...

Core Insights - The article highlights 360 Group's strategic transformation into an AI-driven technology company, emphasizing its commitment to becoming a leader in the "agent" era of AI [1][10]. Strategic Positioning - In 2025, 360 Group announced its "All in Agent" strategy, marking a significant shift in its mission to "make the AI world safer and better" and aiming to be "the safest AI innovator" [1][3]. - This strategic pivot positions 360 at the forefront of the transition from "perceptual intelligence" to "action intelligence," showcasing its ability to grasp core industry trends [1][3]. Technological Advancements - 360 has introduced a new classification system for intelligent agents, ranging from L1 to L5, and has achieved a global first with its "Nano AI" reaching L4-level multi-agent swarm capabilities [3][7]. - The company has developed an enterprise intelligent agent operating system, addressing challenges in AI adoption by providing comprehensive infrastructure for development, deployment, and management [5][8]. Industry Integration - 360 aims to transform intelligent agents from mere showcases to engines driving various industries, offering solutions that facilitate AI integration into business processes [8][10]. - The release of the "AI Advanced Productivity TOP 10" cases demonstrates practical applications of AI across key sectors such as transportation, energy, and government services [8][10]. Security Foundations - 360 emphasizes the importance of security in AI development, enhancing its capabilities to address AI-related risks through the creation of intelligent security agent swarms [11][14]. - The company has published a "Large Model Security White Paper," outlining its approach to managing AI risks and contributing to national standards for AI safety [13][14]. Practical Applications - In 2025, 360 has successfully utilized its security models in national-level cyberattack investigations, reinforcing its role in safeguarding digital sovereignty [16].

" 聚焦一个核心赛道，砸足够多的资源做到极致，其他部分全靠生 态协同来补，这是 To B 平台型公司的唯一正确打法。 " 作者丨 周蕾 编辑丨 包永刚 大模型是认知和语言的技术，本质上解决的是服务环节智能化、规模化的问题。但并非所有问题都需要用 到智能体，也不都属于大模型的解决范畴——"不能为了卖这把锤子，就把所有东西都当钉子敲。" 这家已走过了十年的行业know-how积累和技术产品打磨期的公司，从最初的音视频技术与智能客服，逐 步将产品扩展至营销服、企业办公和研发生产领域，形成了一套覆盖企业前中后台的智能化产品方案工具 集。 今年12月9日，中关村科金举办"超级连接·智见未来" EVOLVE 2025 大模型与智能体产业创新峰会。在 峰会之后，我们与喻友平深入地聊了聊关于大模型与智能体的一切，以及这场技术浪潮掀起的To B变局。 如今，站在技术变革的十字路口，中关村科金的核心命题已然清晰：如何将过去十年沉淀的场景理解与产 品矩阵，与新一代AI技术深度融合，在这场行业洪流中，找到自己不可替代的生态位。 以下是雷峰网与喻友平的对话内容，雷峰网作了不改变原意的编辑： 在这场变局之中，可以用"锤子敲一下"的场景是 ...

Core Insights - The article emphasizes that AI is entering a critical phase of competition between China and the US, with both countries focusing on their unique strengths in computing power and supply chain capabilities to define their own "Industrial 5.0" [5][6] - It highlights 2025 as the "Year of the Intelligent Agent," where AI evolves from a mere tool to a digital counterpart capable of task execution, leading to a significant reduction in entrepreneurial barriers and the emergence of a new wave of startups [6][30] - The article discusses the importance of AI in transforming various industries, with a focus on the integration of AI into everyday business practices and the potential for significant economic growth [28][64] Group 1: AI Competition Landscape - The competition in AI is characterized by a bipolar structure between China and the US, with the US investing over $350 billion in AI infrastructure by 2025, while China is projected to invest 630 billion RMB [46][49] - The article notes that the US holds 74.5% of global computing power, while China accounts for 14%, indicating a significant disparity in resources [49] - The future of AI is seen as a race between the two nations, with both focusing on different paths: the US on closed-source models and China on open-source models [60][61] Group 2: AI Applications and Innovations - The article outlines the emergence of various AI applications across industries, such as AI-driven banking solutions that cater to elderly customers, showcasing how AI can enhance user experience [81][98] - It highlights the rapid growth of AI in content creation, with AI-generated media becoming a significant part of the cultural landscape, particularly in sectors like AI comics, which saw a 600% increase in production [73][78] - The integration of AI into supply chain management is exemplified by companies like Xiamen Guomao, which is developing AI-driven decision-making tools for commodity trading [85][88] Group 3: Intelligent Agents and Future Trends - The concept of "Intelligent Agents" is introduced as a transformative force in personal and professional settings, with AI tools enhancing productivity and efficiency [99][100] - The article discusses the potential for AI to redefine personal capabilities, suggesting that skills may need to be re-evaluated in the context of AI advancements [78] - It predicts that the next decade will see the rise of four trillion-dollar markets in China, including the robotics sector, which is expected to play a crucial role in the future of manufacturing [124][126]

2025年的商业世界，似乎比以往更拥挤。 在存量博弈的缝隙中，一些年轻公司悄无声息地完成了对老牌霸主的逆袭。他们并不指望等来蓝海窗口，而是选择在那些看似已被定义过的红海 赛道里硬碰硬。 在消费硬件领域，影石把全景相机从极客玩具推向大众创作工具；拓竹让3D打印走向"开机即用"，并用社区把打印从一次性消费变成持续生产。 在更硬核的底层赛道，摩尔线程顶着压力拿下了"国产GPU第一股"，用上市后的MUSA开发者大会回应CUDA壁垒，试图打一场生态战。 与此同时，AI应用与商业化节奏在加速。MiniMax凭借全模态与产品矩阵冲刺"全球大模型第一股"；Manus则是从智能体爆红，而后完成了ARR破 1亿美元的商业化验证。 类似的故事也发生在那些被认为"格局已定"的战场。2025年，鱼泡直聘、小马智行、文远知行则在招聘与Robotaxi等在外界看来已非常成熟的赛 道里，用更激进的扩张或更精细的UE核算，寻找新的增长曲线。 2025年，注定不是一个属于守成者的时代。无论是为了生存还是野心，这些公司用行动证明了，哪怕红海中有一点缺口，后来者也能成为颠覆秩 序的关键变量。 今年前三季度，影石营收达66.11亿元，同比增长近70% ...

来源：环球网 在AI技术不断从云端向终端迁移的今天，消费电子行业正悄然经历一场深刻的转变。厂商们不再满足 于让设备仅仅"更智能"，而是试图赋予它们感知、行动甚至拟人交互的能力。这一背景下，任何关于终 端形态的大胆尝试，都值得关注。 12月28日晚，在厦门举办的"AI闪耀中国"吴晓波科技人文秀上，一只机器狗稳步走向台前，背上载着一 台造型独特的设备——荣耀ROBOT PHONE。吴晓波从机器狗身上取下这台被称为"全球第一款手机机 器人"的产品，在这场AI赋能科技的盛会，场景颇具未来感，却也清晰地传递出一个信号：手机的形态 边界，正在被重新绘制。 值得关注的是，荣耀的创新成果已获得国际权威认可。此前，荣耀"青海湖刀片电池"与"端侧AI换脸检 测技术"双双入选《时代周刊》2025年"最佳发明"榜单，成为唯一斩获主榜两项大奖的中国品牌。这也 从侧面印证了其创新并非孤立的单点突破，而是一场贯穿硬件、软件与安全系统的系统性工程。这种横 跨多年、纵贯软硬件的体系化技术沉淀，为从Magic8的"智能伙伴"到ROBOT PHONE的"有温度的智能 生命体"的想象，提供了坚实的支撑与可信的伏笔。 机器人赛道悄然入场：不止于手机的 ...

摘要 随着大模型走向 "智能体元年"，强化学习（RL）逐渐被公认为通往通用人工智能的关键技术，但它长期停留在少数实验室的象牙塔里。传统 RL 框架的单体式设 计、昂贵的显存开销以及复杂的工程流程，让许多有想法的团队望而却步。 近期，由 UIUC Jiaxuan You 教授领衔的 U Lab 团队开源了 OpenTinker—— 一个全新的 "强化学习即服务"（RL-as-a-Service, RLaaS）系统。它通过精细的解耦架构 和友好的 API，让算力不再限制算法的开发，无论是在拥有 GPU 集群的研究机构还是在仅有 CPU 的个人电脑上，都能让更多开发者以极少的代码启动智能体训 练。 序言：后训练时代的挑战与突破 进入 2025 年，竞争的核心从模型规模的比拼转向能够进行长程决策的智能体。强化学习正是驱动这一范式转变的发动机。然而，对于大多数学者、创业公司甚至 一些大型科技企业来说，部署一套可靠的智能体训练管线仍然是一场艰难的工程战役。现有 RL 基础设施的瓶颈不只是算法问题，更是工程上的 "阿喀琉斯之踵"： 很多人理解理论，却难以真正跑通一套面向落地应用的强化学习系统。 该研究团队来自伊利诺伊大学厄 ...

Core Viewpoint - The article emphasizes that the AI revolution is a significant competition that will impact national fortunes, highlighting the rapid advancements and implications of AI technology in various sectors [2][22]. Group 1: AI Development History - The concept of artificial intelligence was first introduced in 1956 at the Dartmouth Conference, marking the beginning of a long journey in AI research [11]. - Key milestones include the introduction of deep learning by Geoffrey Hinton in 2006 and the launch of GPT-3.5 in 2022, which significantly advanced AI capabilities [17][18]. - The article notes that AI has now entered everyday life and industries, with significant developments in China and the U.S. [18][19]. Group 2: AI Investment Landscape - By 2025, the U.S. is expected to invest over $350 billion in AI infrastructure, while China’s investment is projected to reach 630 billion RMB [41]. - The article highlights that the U.S. currently dominates AI computing power, holding 74.5% of global capacity, compared to China's 14% [43]. - The investment in AI infrastructure in China is compared to the historical investment in high-speed rail, indicating a significant commitment to AI development [41]. Group 3: AI Applications and Innovations - The article discusses the emergence of AI in various industries, including banking, where Shanghai Bank has become the first AI-native mobile bank [75]. - It highlights the rapid growth of AI-driven content production, such as AI-generated comics, which have seen a 600% increase in production [67]. - The use of AI in sectors like healthcare, logistics, and manufacturing is emphasized, showcasing its transformative potential [78][81]. Group 4: Competitive Landscape - The article outlines the competitive dynamics between the U.S. and China in AI, with both countries pursuing different strategies: the U.S. focusing on closed-source models and China on open-source models [54][55]. - It mentions that by 2025, over 80% of the world's large models will be developed in the U.S. and China, with significant advancements in image generation and text capabilities [46][49]. - The competition extends to autonomous driving, with both countries making strides in developing self-driving technologies [57]. Group 5: Future Trends and Predictions - The article predicts that the next decade will see the emergence of four trillion-dollar markets in China, including the robotics sector, which is expected to play a crucial role in manufacturing upgrades [118][120]. - It discusses the potential for AI to redefine personal capabilities and the importance of adapting to new technologies in various industries [72][98]. - The article concludes with a call for recognition of the ongoing AI revolution and its implications for the future [58].

Core Insights - AI is transitioning from merely providing answers to actively thinking, generating data, and executing tasks, indicating a fundamental shift in its capabilities [1][4][11] Group 1: AI's Evolving Capabilities - AI is developing reasoning abilities, leading to a reduction in hallucinations, which were a significant issue in chatbots [5][11] - The reasoning process involves understanding language contextually rather than converting sentences into logical symbols, allowing for more natural connections between words [6][9] - AI is moving from passive response to active execution, creating a new collaborative relationship between humans and machines [4][11] Group 2: Self-Learning and Data Generation - The next generation of AI will not rely on human-provided data but will generate its own training data through self-learning [15][20] - Hinton cites AlphaZero as an example of AI that learns through self-play, suggesting that AI could excel in fields like mathematics by generating infinite training data [16][17] - This shift represents a fundamental change in training paradigms, moving from external data input to internal self-driven learning [20][21] Group 3: Role Transformation in Collaboration - The concept of "agents" is emerging, where AI can understand tasks, break down processes, and execute them autonomously [23][29] - In fields like healthcare and education, AI is beginning to take over roles traditionally held by humans, enhancing efficiency and accuracy [25][26] - As AI becomes more proactive, the human role shifts from execution to decision-making, requiring a redesign of collaborative frameworks [31][32]

Core Viewpoint - The article emphasizes the transformative impact of AI on various sectors and individuals, highlighting the importance of adapting to new tools in the modern era [4]. Group 1: AI and Industry Transformation - The article discusses the "AI three elements" that have created a competitive landscape between China and the US, focusing on multi-modal content production, large models reshaping industries, and the emergence of intelligent agents [9]. - It identifies the robotics sector as a potential market worth 10 trillion [9]. - The article mentions that the service industry will experience a complete transformation due to AI, creating new experiences for consumers [10]. Group 2: Event Details - The "AI Shining China" event is set to showcase the results of a year-long AI research initiative, promising an engaging experience filled with insights and discussions [38]. - The event will take place on December 28, with a detailed schedule including check-in times and entry procedures [14][15]. - Various parallel activities are planned from December 27 to 29, focusing on topics such as global supply chain innovation and opportunities in Southeast Asia [24][25][26].