在周鸿祎看来，L5级别的智能体，将具备智能体创造智能体的能力。 L4级智能体为多智能体蜂群，单次任务的tokens消耗量为1000万token -1亿token，典型应用如长视频生 成、做网站等创造性的高价值成果。 【"智能体分L1-L5五个级别"，#周鸿祎称360不满足只做L2智能体#】今日举办的第十三届互联网安全 大会（简称ISC.AI 2025）上，360集团创始人周鸿祎分享中指出，如果按照自动驾驶智能级别的区分方 法，可以将智能体分为L1-L5五个级别。 周鸿祎指出，360不满足于只做L2级别的智能体，公司致力于打造L3和L4的智能体。公司打造的360智 能体工厂，已经能够打造从L1到L4的智能体或者智能体蜂群，使得每个人和企业都能定制自己的L3智 能体和L4智能体蜂群。（新浪科技） L3级为推理型智能体，以Manus 为代表，单次对话消耗100万token左右，典型应用如深度研究、做海报 和网页等。 L2级为工作流智能体，典型应用如知识库等，单次时话消耗小于等于1M token。 L1级为聊天助手，以OpenAl 聊天机器人为例，典型应用于情感陪伴聊天等领域。 ...

今日关注 国务院办公厅印发《关于逐步推行免费学前教育的意见》明确，从2025年秋季学期起，免除公办幼儿园 学前一年在园儿童保育教育费，不含伙食费、住宿费、杂费等。免保育教育费标准按照县级以上地方人 民政府及其教育、价格主管部门批准的公办幼儿园保育教育费收费标准执行。国新办周四举行国务院政 策例行吹风会，介绍逐步推行免费学前教育政策有关情况。 宏观经济 1、央行等七部门印发《关于金融支持新型工业化的指导意见》。到2027年，支持制造业高端化智能化 绿色化发展的金融体系基本成熟；引入长期资金和发展耐心资本，加快科技成果转化。推动产业加快迈 向中高端，防止"内卷式"竞争。 2、国务院常务会议提出，实施个人消费贷款贴息政策与服务业经营主体贷款贴息政策。目前，工行、 农行、中行、建行、交行和邮储银陆续表态，将积极响应相关政策，助力消费升级与服务业焕新。在此 之前至少已经有三地实施了消费贷贴息政策，贴息幅度多在1.5%左右。 3、疾控局等16部门发布《健康中国行动—健康环境促进行动实施方案（2025—2030年）》，以解决损 害群众健康突出环境问题为重点，倡导绿色发展、综合治理。到2030年，实现居民饮用水水质达标情况 ...

1、央行等七部门印发《关于金融支持新型工业化的指导意见》。到2027年，支持制造业高端化智能化 绿色化发展的金融体系基本成熟；引入长期资金和发展耐心资本，加快科技成果转化。推动产业加快迈 向中高端，防止"内卷式"竞争。 国务院办公厅印发《关于逐步推行免费学前教育的意见》明确，从2025年秋季学期起，免除公办幼儿园 学前一年在园儿童保育教育费，不含伙食费、住宿费、杂费等。免保育教育费标准按照县级以上地方人 民政府及其教育、价格主管部门批准的公办幼儿园保育教育费收费标准执行。国新办周四举行国务院政 策例行吹风会，介绍逐步推行免费学前教育政策有关情况。 3、周二，A股高开高走，权重股表现出色，脑机接口、高速铜、稳定币概念轮番冲高，智能体概念多 数调整，西藏板块延续回调。截至收盘，上证指数涨0.96%报3617.6点，再创年内新高；深证成指涨 0.59%，创业板指涨0.39%，市场成交额1.62万亿元。 4、周二，香港恒生指数涨0.68%报24902.53点，恒生科技指数涨0.73%，恒生中国企业指数涨0.65%。恒 生行业指数全线上涨，医药股强劲反弹。南向资金大幅净买入234.26亿港元。 1、上交所发布通报称，对 ...

Core Insights - The concept of AI digital employees has gained renewed interest, with Baidu Smart Cloud launching seven new "digital workers" that can perform various roles such as marketing manager and loan repayment manager, emphasizing their ability to deliver results immediately upon deployment [2][3] - The new AI digital employees integrate large models, digital human technology, and industry skills, evolving from traditional AI tools that handled single tasks to enterprise-level agents capable of managing entire processes and delivering outcomes [2][3] Group 1 - Baidu's AI digital employees can handle the entire recruitment process, including external calls, interview scheduling, and result notifications, improving interview participation rates by 40% [2][3] - In the education and training sector, these digital employees provide 24/7 online responses, follow up on leads, and automate reminders for renewals, thus managing the entire customer journey rather than just isolated tasks [3] - The distinction between traditional AI tools and enterprise-level agents is highlighted, with the latter possessing autonomous decision-making capabilities and the ability to complete tasks independently, delivering final results to humans without needing manual intervention [3][4] Group 2 - The evolution of AI from passive tools to proactive agents is noted, with current intelligent agents capable of processing tasks asynchronously, even when users are offline, thus adding value without human input [4] - Baidu's digital employees have already been implemented in customer service operations, resulting in a 60% increase in successful insurance claims and an 18-hour improvement in service efficiency [4] - The specific roles of the seven AI digital employees include marketing manager, loan assistant, automotive sales, promotional specialist, product manager, course consultant, and recruitment specialist [4]

近年来，人工智能技术持续向纵深发展，以智能体为代表的大模型应用正成为推动产业智能化变革的核心引擎之 一。智能体可以将模型技术能力与任务执行能力充分结合，高度契合日益复杂的提质增效需求，有望成为推进人 工智能与实体经济深度融合的关键力量。 2025年7月28日上午，世界人工智能大会（WAIC）智能体驱动产业变革论坛成功举办。会上，中国人工智能产业 发展联盟副秘书长、中国信息通信研究院（简称"中国信通院"）副总工程师王爱华正式发布并解读"2025智能体 十大关键词"，十大关键词分别是通用智能体、专用智能体、端侧智能体、企业级智能体、智能体平台、智能体通 信协议、多智能体协同、智能体价值评估、智能体可信、智能体基准测试，集中体现了当前智能体未来发展趋 势、技术研究热点与产业关注重点。 一、通用智能体：面面俱到的"数字通才" 通用智能体具备跨领域知识和通用能力，能够理解并执行多种类型任务，是迈向通用人工智能的重要路径。通用 智能体的发展不仅依赖大模型的能力提升，也需要感知规划、认知决策、多模态融合、人机协作等多技术融合创 新。未来，通用智能体将沿着多阶段能力跃迁与多维度技术融合的方向发展，驱动人机协同从"被动响应"迈 ...

Core Insights - The AI application market is rapidly evolving, with a significant increase in user engagement across various segments, leading to the formation of four distinct tiers of applications [1][12][19]. Group 1: Market Overview - As of June 2025, the first tier includes AI search engines and comprehensive assistants, with monthly active users (MAU) reaching 685 million and 612 million respectively [1]. - The second tier consists of AI social interaction and professional advisors, with MAUs of 126 million and 111 million [1]. - The third tier includes AI efficiency tools and image processing applications, with MAUs of 69 million and 49 million [1]. - The fourth tier encompasses AI creative design, copywriting, and educational applications, each around 20 million MAUs [1]. Group 2: User Engagement Trends - The "In-App AI" model has seen a user base of 630 million, while native apps have 570 million users, and PC web applications have 180 million users, indicating a shift towards mobile and integrated solutions [1][9]. - The growth of application plugins reflects users' preference for seamless AI experiences, with notable usage rates for Baidu AI and Quark AI search at 9.6% and 56.0% respectively [2][19]. Group 3: Competitive Landscape - The market is witnessing a dual oligopoly, where the combination of "search + service" is reshaping traffic entry points, leading to service integration and the development of intelligent agents [12][24]. - The majority of PC web players are facing decline, with 80% of them having user counts below 500,000 and 68.8% experiencing negative growth [2][31]. Group 4: Application Performance - Among software service providers, the photography and beautification sector is rapidly adopting AI plugins, driven by the "aesthetic economy" [14]. - As of June 2025, the average app with AI integration has 2.1 AI applications, with photography apps averaging 5.5 AI features [15][27]. Group 5: Future Outlook - The integration of AI into mobile applications is expected to enhance user engagement, with a focus on system-level integration capabilities [9][49]. - The competition will hinge on becoming the "only option" in users' minds or embedding deeply into essential workflows, with model iteration speed and ecosystem integration being critical factors for success [56].

Core Insights - The article emphasizes the rapid growth of AI applications in the mobile internet sector, highlighting the resilience of the internet industry and the importance of finding new scenarios and technology applications to meet user demands [2][3]. Group 1: AI Application Market Overview - As of June 2025, the AI application market has developed into four tiers, with the first tier consisting of AI search engines and comprehensive assistants, boasting monthly active users (MAU) of 685 million and 612 million respectively [3]. - The second tier includes AI social interaction and professional advisors, with MAUs of 126 million and 111 million [3]. - The third tier comprises AI efficiency tools and image processing applications, with MAUs of 69 million and 49 million [3]. - The fourth tier includes applications like AI creative design and educational tools, each around 20 million MAUs [3]. Group 2: User Engagement and Application Types - The growth of "In-App AI" reflects users' preference for scenario-based tools, with 630 million users engaging with mobile app plugins, while native apps saw a decline of 20 million users [4][10]. - The report indicates that 74.5% of plugin applications maintained positive growth, although there is significant structural differentiation in growth rates across different scales [30][32]. Group 3: Competitive Landscape and Trends - The AI search and comprehensive assistant sectors are experiencing a dual oligopoly, with a notable shift towards service integration and practical solutions [13][39]. - The report highlights that 67.4% of native apps experienced negative growth in the first half of the year, indicating a challenging environment for smaller applications [27]. - The article notes that the average app with AI integration has 2.1 AI applications, confirming that plugin forms are currently the most effective path for AI deployment [17]. Group 4: Key Players and Performance Metrics - Major players in the AI application market include Baidu AI, which leads the search engine segment with 29.4 million MAUs, and Tencent's AI applications, which have shown significant growth rates [22][63]. - The report identifies that the average growth rate for Tencent's Yuanbao app was 55.2%, indicating strong user engagement [29][66]. - The performance of AI applications is closely tied to their ability to integrate deeply into user workflows, with companies needing to enhance their AI capabilities to remain competitive [61][47]. Group 5: Future Outlook and Strategic Recommendations - The future of AI applications will depend on the ability to either become the "only option" in users' minds or to embed deeply into essential workflows [61][61]. - Companies are encouraged to focus on enhancing model capabilities and cross-modal interaction to drive future growth in the AI sector [58][61].

Group 1 - Shanghai Municipal Government issued measures to support enterprises in enhancing basic research and high-quality development [4][5] - Hainan Provincial Government released a three-year action plan to accelerate the construction of a modern industrial system with distinctive advantages [4] - Shanghai Science and Technology Committee introduced management measures for the "Explorer Program" to encourage enterprises to invest in basic research [4] Group 2 - AI agent concept gained traction with several companies experiencing significant stock price increases following the certification of an AI customer service agent [9] - The global first organic solvent testing standard for footwear was officially released, addressing a critical global issue [6] - The electric vehicle industry is witnessing advancements with the announcement of the world's first mass-produced semi-solid battery vehicle [14][15] Group 3 - The innovative drug sector remains active, with several companies experiencing stock price surges due to strategic partnerships and clinical trial advancements [12][13] - Public fund issuance continues to rise, with 36 new funds launched this week, marking a 5.88% increase from the previous week [26] - Foreign investment in A-shares is increasing, with four stocks having over 24% of their shares held by foreign investors [27]

此外，ISC.AI 2025大会还将打造20余场技术及产业论坛，输出国家、经济、社会、企业的观点，助力 智能体时代数字安全的跃迁升级。 ISC.AI一直致力于行业未来新质人才的培育，践行产教融合的发展理念。本届大会覆盖从底层技术认知 到前沿应用实战的全流程，打造"讲、训、练"三位一体的完整生态链条，通过系统化设计实现知识传 授、技能培训与实战演练的衔接。 8月6日至7日，ISC.AI 2025第十三届互联网安全大会将在北京启幕。作为全球"安全+AI"领域规格高、 规模大、影响力深远的行业盛会，本届ISC.AI以"ALL IN AGENT"为主题。 据悉，ISC.AI 2025大会设置一场全天候未来峰会，汇聚全球顶尖的AI与安全专家，从学术界的权威学 者到企业界的创新领袖，从知名机构的专业分析师到政府智库的战略专家，或深耕理论研究，或引领技 术突破，或提供决策参考，共同推动着行业变革与知识创新。 届时，ISC名誉主席邬贺铨，中国工程院院士、英国皇家工程院院士陈清泉，俄罗斯工程院外籍院士、 苏州大学机电学院院长孙立宁，教育部高等学校网络空间安全专业教学指导委员会秘书长封化民等学术 领军人物将分享前沿行业洞见；36 ...

Core Viewpoint - The article discusses the rise and fall of Manus, an AI company, highlighting the rapid changes in the industry and the personal experiences of an intern who witnessed the company's journey from success to turmoil [6][26]. Group 1: Company Background and Development - Manus was founded by Xiao Hong, who aimed to create a revolutionary AI product, and the company gained significant attention in the AI community [6][19]. - The intern, He Si, joined Manus as an intern after self-learning AI application development and connecting with Xiao Hong through a tech community [14][18]. - The company experienced a rapid rise in popularity after launching its product, which was described as a "disruptive" and "global first" AI tool [27][28]. Group 2: Challenges and Changes - In June, the company announced plans to relocate to Singapore for international expansion, leading to significant layoffs of domestic employees [8][12]. - The internal atmosphere became tense as employees sensed the impending move, with management's absence contributing to uncertainty [9][11]. - Following the product launch, Manus faced intense scrutiny and criticism for not developing its own large model, leading to accusations of being a "shell" company [29][32]. Group 3: Personal Experience and Reflection - The intern experienced a rollercoaster of emotions, from excitement during the product launch to anxiety over the company's challenges and public perception [33][34]. - Despite the turmoil, the intern recognized the valuable lessons learned during the internship, including the complexities of entrepreneurship beyond just product development [33]. - The experience at Manus provided the intern with opportunities for future employment in major tech companies, although the initial excitement had diminished [34].