而在近日举办的"朋友们碰一下支付宝线下支付合作伙伴大会"上，拉近众博被授予"2025支付宝商圈数 字化先锋"和"支付宝优秀合作伙伴年度最佳好碰友"两个殊荣。除了特显拉近众博与支付宝的深度合作 关系外，亦是对"琥珀PASS卡"从场景到消费的解决方案成效的肯定。 琥珀PASS卡通过其技术核心"碰付通"实现了支付营销一体化，支持支付宝全系智能POS机，为用户提供 从"碰一下打卡领红包"到"支付后自动成为会员"的无感流畅体验，为商户提供了"支付即结算"的跨域分 账能力。北京工体燃冬市集、北京动画周、西城商圈等多个场景中已经成功验证，通过统一收银、周边 引流打卡、消费后发复购红包等组合策略，有效提升了商户收益和用户复购率。琥珀PASS卡通过"碰一 下"的NFC等技术，将线下分散的流量有效聚合与转化，成为本集团新媒体业务增长的核心动力。 除此外，拉近众博亦与蚂蚁云通签订了一份为期三年的《文旅智能体市场拓展框架合作协议》。据此， 拉近众博打造了以"琥珀PASS卡"为核心的智能文旅SaaS平台，融合区块链、加密技术与互联网视听能 力，已成功推出"琥珀智能PASS卡"及配套宣发、销售与定制化技术服务体系，并作为支付宝"碰一下" ...

除此之外，拉近众博亦与蚂蚁云通签订了一份为期三年的《文旅智能体市场拓展框架合作协议》。据 此，拉近众博打造了以"琥珀PASS卡"为核心的智能文旅SaaS平台，融合区块链、加密技术与互联网视 听能力，已成功推出"琥珀智能PASS卡"及配套宣发、销售与定制化技术服务体系，并作为支付宝"碰一 下"技术在文旅领域的官方解决方案服务商，具备扎实的场景落地能力。蚂蚁云通依托其在AI大模型、 智能体构建平台、云计算及用户营运等方面的领先能力，可为文旅场景提供高效、可扩展的技术基础。 基于双方对文旅智慧化趋势的高度共识，决定建立深度合作关系。 琥珀PASS卡通过其技术核心"碰付通"实现了支付营销一体化，支持支付宝全系智能POS机，为用户提 供从"碰一下打卡领红包"到"支付后自动成为会员"的无感流畅体验，为商户提供了"支付即结算"的跨域 分账能力。北京工体燃冬市集、北京动画周、西城商圈等多个场景中已经成功验证，通过统一收银、周 边引流打卡、消费后发复购红包等组合策略，有效提升了商户收益和用户复购率。琥珀PASS卡通过"碰 一下"的NFC等技术，将线下分散的流量有效聚合与转化，成为本集团新媒体业务增长的核心动力。 双方拟围绕系统 ...

智通财经APP讯，拉近网娱(08172)发布公告，本公司附属公司北京拉近众博科技有限公司(拉近众博)(统 称为"本集团")获蚂蚁集团旗下的蚂蚁云通(上海)信息技术有限公司(蚂蚁云通)授权为"蚂蚁百宝箱官方合 作服务商"，授权期限至2026年11月20日为止。拉近众博获得此授权之后，董事会深信这合作关系将大 大有利于日后本集团的新媒体业务发展。 而在近日举办的"朋友们碰一下支付宝线下支付合作伙伴大会"上，拉近众博被授予"2025 支付宝商圈数 字化先锋"和"支付宝优秀合作伙伴年度最佳好碰友"两个殊荣。除了特显拉近众博与支付宝的深度合作 关系外，亦是对"琥珀PASS卡"从场景到消费的解决方案成效的肯定。 琥珀PASS卡通过其技术核心"碰付通"实现了支付营销一体化，支持支付宝全系智能POS 机，为用户提 供从"碰一下打卡领红包"到"支付后自动成为会员"的无感流畅体验，为商户提供了"支付即结算"的跨域 分账能力。北京工体•燃冬市集、北京动画周、西城商圈等多个场景中已经成功验证，通过统一收银、 周边引流打卡、消费后发复购红包等组合策略，有效提升了商户收益和用户复购率。琥珀PASS卡通 过"碰一下"的NFC等技术，将线下 ...

Core Insights - The first "MCP Plugin Development Competition," co-initiated by Ant Group's Baibao Box and Tongyi Lingma, sponsored by NVIDIA, successfully concluded, attracting nearly 600 teams and resulting in over 100 plugins, demonstrating that AI is a practical productivity tool rather than just a concept [1][6][12] Group 1: Event Overview - The competition focused on real enterprise needs and AI tool application, showcasing a collaborative effort among Ant Group, Tongyi Lingma, and NVIDIA to create a stable and efficient practical environment for developers [1][7] - The event saw participation from 591 teams, with 30 plugins selected for their practical value and innovative core, enriching the Baibao Box plugin market [8][12] Group 2: Plugin Highlights - The "Travel Bird Homestay Pricing Assistant" addresses the lack of pricing services for homestay businesses, transitioning from intuition-based pricing to data-driven decision-making, and plans to integrate diverse data for improved pricing models [9][10] - The "T-Shop Mall Assistant" helps small and micro enterprises overcome the challenge of lacking technical teams by providing easy-to-use tools for product management, intelligent search, and order generation [10][11] - The "Elderly Adaptation Designer" fills a gap in smart tools for the silver economy, offering practical renovation suggestions for home care scenarios, with future plans to include cost estimation and material recommendations [11][12] Group 3: Ecosystem Development - The competition established a positive cycle of "developer innovation—platform optimization—ecosystem enhancement," expanding the service scenario library of Baibao Box to cover nearly 20 sub-industries [5][12] - The active participation and feedback from developers have strengthened the core developer base, laying a solid foundation for ecosystem development [12][13] Group 4: Future Directions - The conclusion of the competition marks a new beginning for AI plugins deeply rooted in enterprise scenarios, with Ant Group planning to continue building platforms for technical exchange, practical training, and competitive events [6][14] - The aim is to explore the limitless possibilities of "AI + enterprise services," ensuring that intelligent productivity permeates every aspect of enterprise operations [14]

Core Insights - The article discusses the evolution of AI Agents, emphasizing that a significant milestone will be reached when two out of three most frequently used apps by individuals are AI Agents [1][72] - Key metrics for evaluating a good AI Agent include controllability, explainability, and the ability to execute tasks consistently and stably [1] - Many AI Agents currently face negative gross margin issues, where the cost of completing tasks exceeds users' willingness to pay, posing a challenge for entrepreneurs [2][49] Group 1: Industry Perspectives - The year 2025 is anticipated to be the "Year of the Agent," marking the initial deployment of AI Agents in standardized scenarios such as customer service and claims processing, validating their technical feasibility and value [1][4] - The industry faces the challenge of aligning technology, product, and business models to create a sustainable positive feedback loop for AI Agents [2][4] - The roundtable discussion featured insights from industry leaders, highlighting the need for a rational and pragmatic approach to the widespread application of AI Agents across various sectors [3][10] Group 2: Product Development and Use Cases - AI Agents are evolving from simple tasks to more complex functions, such as creating presentations and coding, demonstrating significant advancements in their capabilities [23][25] - Successful implementations of AI Agents have shown ROI improvements, particularly with the advent of multimodal models that enhance understanding of images and videos [20][21] - The development of coding agents has progressed from writing code to executing entire workflows, resulting in efficiency gains of 3 to 5 times in software engineering tasks [25][35] Group 3: Key Challenges and Future Directions - A major challenge for AI Agents is the discrepancy between operational costs and user payment willingness, which hinders scalability for many startups [49] - The future evolution of AI Agents will likely focus on enhancing reliability and integrating them into physical environments, requiring advancements in both foundational models and engineering capabilities [56][57] - The industry anticipates a significant increase in AI Agent penetration in 2026, driven by major investments from leading tech companies and the emergence of user-friendly applications [58][61]

Core Insights - The "AI 100" list has been released, indicating a highly competitive landscape for AI products, with both internet giants and startups optimizing user experiences to capture market share [2][4]. APP Sector AI Product Status - There is a stagnation in growth for web-based AI products, with total visits and monthly active users (MAU) remaining flat at 600 million and 130 million respectively, while leading products show slight declines [6]. - Growth engines have shifted from general head products to niche, high-segment products, with new applications in emerging fields like AI health gaining significant traction [6]. - Notable growth in user numbers for comprehensive office agents and industry-specific agents, such as Kouzi Space and RoboNeo, indicates a validation of agent product value [6]. User Scale Top 10 Products - The top 10 AI products by cumulative downloads on the APP end as of September 2025 include: 1. Quark: ~251 million 2. Doubao: ~233 million 3. Kimi: ~92 million 4. DeepSeek: ~77 million 5. Xingtou: ~77 million 6. Jimeng AI: ~76 million 7. QQ Browser: ~74 million 8. Tencent Yuanbao: ~67 million 9. Meitu Xiuxiu: ~41 million 10. NetEase Youdao Dictionary: ~40 million - A total of 23 products have downloads exceeding 10 million [7]. User Growth Top 10 Products - The top 10 products by new downloads in September 2025 include: 1. Doubao: ~27 million 2. Quark: ~23 million 3. Jimeng AI: ~12 million 4. Tencent Yuanbao: ~11 million 5. QQ Browser: ~8.1 million 6. Xingtou: ~7 million 7. Xingge: ~6.7 million 8. NetEase Youdao Dictionary: ~5.6 million 9. AQ: ~5 million 10. Kimi: ~4.8 million - Total new downloads for AI apps exceeded 166 million in September, a 27% increase from June [9][10]. User Activity Top 10 Products - The top 10 products by daily active users (DAU) in September 2025 include: 1. WPS: ~61 million 2. QQ Browser: ~52 million 3. Doubao: ~33 million 4. DeepSeek: ~26 million 5. Quark: ~22 million 6. Meitu Xiuxiu: ~18 million 7. Tencent Yuanbao: ~17 million 8. Kuaidui: ~12 million 9. NetEase Mail Master: ~7.3 million 10. NetEase Youdao Dictionary: ~6.5 million - The average daily usage of AI apps reached nearly 300 million, with a nearly 50% increase since June [11][12]. APP Sector Analysis - The concentration of top AI products has weakened, with noticeable increases in downloads and daily active users for mid-tier products [14]. - The market share of the top 5 products has decreased from over 60% in Q2 to below 50% [15]. - Doubao and Quark are the only two products with new downloads exceeding 20 million in September, leading the market significantly [16]. Web Sector AI Product Status - The top 10 web-based AI products by total visits in September 2025 include: 1. DeepSeek: ~115 million 2. Doubao: ~85 million 3. Quark: ~82 million 4. Baidu AI Search: ~44 million 5. Tencent Docs: ~41 million 6. Kimi: ~30 million 7. Tongyi: ~29 million 8. WPS Office: ~25 million 9. Tencent Yuanbao: ~22 million 10. Baidu Wenku: ~17 million - The top three products account for 47% of total web-based AI product visits [18]. User Activity Top 10 Products (Web) - The top 10 products by unique visitors in September 2025 include: 1. Quark: ~19 million 2. Baidu AI Search: ~13 million 3. DeepSeek: ~13 million 4. Doubao: ~10 million 5. Baidu Wenku: ~8.6 million 6. Tongyi: ~7.1 million 7. Tencent Docs: ~6.2 million 8. WPS: ~4.9 million 9. Kimi: ~4.6 million 10. Zhihu Zhidao: ~3.4 million - There are 19 products with MAU exceeding 1 million, with Baidu AI Search showing significant growth [21][23]. User Engagement Top 10 Products (Web) - The top 10 products by average visits per user in September 2025 include: 1. Mogao Design: 9.5 2. DeepSeek: 9.1 3. Doubao: 8.3 4. Tencent Yuanbao: 8.2 5. Wenxiaobai: 8.0 6. Moke AI: 7.5 7. Modao AI: 6.8 8. Tencent Docs: 6.6 9. Xiangzhi HaiSnap: 6.6 10. Kimi: 6.5 - The top 10 in user engagement is dominated by AI office efficiency and intelligent assistant applications [25][26]. Web Sector Analysis - Total visits for web-based AI products exceeded 600 million in September, showing growth from 570 million in June, while total active users remained stable at approximately 124 million [27]. - The threshold for the top 10 products in visits and active users has decreased, indicating a shift in user engagement dynamics [27]. - The emergence of AI agents is diverting traffic from traditional web-based products, with agent products gaining significant traction [33].