Core Insights - The newly developed consumer intelligence app "Zhang Dama" by Zhidao Technology has officially entered public testing without extensive user acquisition or promotional efforts, achieving above-average daily user engagement metrics [1] - The company allocates approximately 12% of its revenue to research and development, with over 50% of that investment focused on AI, indicating a strong commitment to long-term strategic development in this area [1] - The app's primary service scenarios focus on e-commerce shopping and local living/smart travel, aligning with user expectations for a consumer-oriented agent [1] Competitive Positioning - Zhidao Technology expresses confidence in its ability to compete against larger firms in the AI agent space due to its historical data accumulation, which allows for accurate identification of user consumption intentions and cross-platform service fulfillment [1][2] - The company emphasizes its deep-rooted relationships with partners in the consumer sector, which enhances its understanding of consumer decision-making processes and enables effective execution of complex tasks [2] Business Model and Future Strategy - The "Zhang Dama" app may adopt a subscription-based business model, driven by positive user feedback and the potential for significant growth in collaboration scale as more partners are integrated [2] - Long-term, the company sees international expansion as a clear trend, aiming to adapt its successful domestic model to overseas markets while considering local consumption environments [2]

Group 1 - The AI Agent sector is experiencing explosive growth, with a total addressable market (TAM) estimated at approximately 3.61 trillion yuan, expected to accelerate penetration into core scenarios [1] - Major internet companies are launching their own AI Agent products for consumer scenarios, such as Meituan's "Xiao Mei" and Alipay's intelligent assistant [1] - Qifu Technology (QFIN.US/03660.HK) has developed the "Qifu Credit Super Intelligent Agent," the first AI agent empowering core credit business, successfully implemented in multiple financial institutions [1] Group 2 - Qifu Technology was recognized in four categories at the 2025 Shanghai Top 100 Enterprises event, including Shanghai's Top 100 Enterprises and Top 100 Private Enterprises [2] - The recognition underscores Qifu Technology's comprehensive strength in technology innovation, market expansion, and operational management [3] - The company has invested nearly 10 billion yuan in R&D, with a team of over 1,000, focusing on the integration of AI and financial applications [3] Group 3 - Qifu Technology reported a revenue of 5.216 billion yuan for Q2 2025, a year-on-year increase of 25.4% and a quarter-on-quarter increase of 11.2%, with a net profit of 1.734 billion yuan, up 25.6% year-on-year [4] - The company's robust risk control system and compliance management position it well to capture more market share amid increasing financial regulation [4]

过去，找人是一门玄学：无论是要找投资人、找行业专家，还是要找一位契合的 KOL，传统方法都仰赖人脉引荐、行业微信群，或是在 LinkedIn 里大浪 淘沙。 找到人，再搭上话，这是敲开合作的大门的第一步，往往也是最困难的一步。 Lessie 的定位简单直接：People Search AI Agent。一句话描述它的能力：帮你从互联网与数据库里快速找到任何人，并自动化完成初步联络。 创始人、投资人、KOL、潜在客户、行业专家、合作伙伴……只要你能用自然语言描述需求，Lessie 就能迅速在全球范围内挖掘到合适的人选。 实际体验之后，我发现"人找人"的需求，AI 虽然可以显著提高效率，但短期还得靠人来介入校验，没那么容易被 AI 取代。 AI LinkedIn？ 与传统的 SaaS 网站或单一数据库不同，Lessie 的目标并不是做一个更快的搜索引擎，而是把"找人"做成一条闭环的服务：识别需求（Identify）、汇总多 源数据（Source）、智能筛选（Review）、建立初步联络（Connect）。这四步，构成了 Lessie 的基本逻辑。 Lessie 的找人流程分了 4 步走｜图片来源：Lessie 但 ...

Core Viewpoint - The article emphasizes that the leap in technologies such as artificial intelligence presents historic opportunities for innovation and entrepreneurship, despite the challenges faced in the global venture capital market [2][3]. Global Venture Capital Environment - In 2024, the global primary market financing amount is projected to reach $274.6 billion, a 4.5% increase from 2023, representing 41.4% of the peak in 2021 [4]. - The number of global financing events in 2024 is expected to be 26,961, a decline of 18.5% from 2023, marking the lowest level since 2018 [4]. Chinese Venture Capital Market - In China, the number of financing events in the primary market for 2024 is estimated at 8,881, a year-on-year decrease of 20.3%, with financing amounting to 507.53 billion yuan, down 18.8% year-on-year, both figures being the lowest in nearly a decade [7]. AI Innovation and Entrepreneurship - The era of large models has led to active AI innovation and entrepreneurship, reshaping various industries [9]. - Since the second half of 2023, financing related to artificial intelligence has been steadily increasing, with AI startups projected to secure a total of $100.4 billion in 2024, with over half of the global primary market funds directed towards AI in the fourth quarter [10]. Generative AI Dominance - Generative AI currently dominates the AI investment landscape, with $56 billion in financing in 2024, accounting for 43% of the total AI financing for the year [12]. - AI applications in sectors such as enterprise services, healthcare, automotive, manufacturing, education, and transportation are becoming popular investment directions, with a high number of financing events [12]. AI Agent Development - AI Agents, as a new paradigm for intelligent interaction, are increasingly penetrating various industries, with numerous startups emerging in this space [12]. - Companies in enterprise services are leveraging AI capabilities to enhance product performance and user experience, while AI is transforming marketing strategies in retail and e-commerce [13]. Globalization Intent of Chinese Startups - Nearly 80% of Chinese startups have intentions to expand overseas, reflecting a strong desire for global market engagement [14][15]. - New-generation tech entrepreneurs possess the vision and capability for globalization, supported by improved digital infrastructure and international perspectives [16]. Huawei Cloud Ecosystem Support - Huawei Cloud's startup ecosystem integrates technology, investment, and business resources, creating a favorable environment for startup development [19]. - The ecosystem has supported over 7,000 startups globally since its launch in 2022, providing resources tailored to different stages of startup growth [23]. Successful Case Studies - Companies like Shengtong Technology and Logic Intelligence have benefited from Huawei Cloud's resources, enhancing their product capabilities and market reach [24][25]. - Huawei Cloud has facilitated international market expansion for various startups, helping them secure clients across Europe, the Middle East, and Asia-Pacific [25][26]. Future Outlook - The Huawei Cloud global startup ecosystem aims to continue empowering startups and fostering collaboration to write a new chapter in the AI industry [27][28].

AI Agent stablecoins are coming.90%+ of all internet activity (let alone DeFI activity) is forecast to be be carried out by AI agents in 2026.Building an “AI agent first” stablecoin seems absurd, but what if a tailor made solution for the ‘clankers’ is necessity?zoomer (@zoomerfied):[ ZOOMER ]CLOUDFLARE REVEALS NEW STABLECOIN, NETDOLLAR, WITH A FOCUS ON CROSS-NETWORK AGENTIC TRANSACTIONS ...

RT s4mmy (@S4mmyEth)Who’s building an AI Agent for Perps?I want something I can:1) Deposit capital2) Select a risk profile, and;3) Let it trade across Hyperliquid, Aster and Lighter.Triple dip on three potential airdrops. ...

Core Insights - The event "Yuanqi Shanghai" highlighted the strategic upgrade of Zero One Everything's government and enterprise services, emphasizing the importance of AI Agents in driving enterprise transformation [1][2] - CEO Li Kaifu stated that AI is transitioning from a tool to a service and then to a results-oriented approach, marking a shift towards outcome-based business models [1][2] - The company aims to embed AI deeply into business processes, requiring CEO involvement in strategic design and collaboration with external technology partners [2][3] Company Strategy - Zero One Everything is focusing on creating a closed-loop industrial ecosystem by targeting new quality productivity industrial parks and establishing various model training and application bases [3] - The company plans to launch the "Wanzhi Platform" by March 2025, offering enterprise-level DeepSeek deployment solutions [3] - The recent release of the Wanzhi Platform 2.0 provides end-to-end solutions for enterprises, covering infrastructure, data platforms, and AI Agent factories [3] Partnership and Ecosystem - The company announced a new partner ecosystem aimed at fostering AI ecological development, introducing a tiered partnership rights plan [4] - The collaboration with Super Fusion resulted in a new integrated machine that combines the Wanzhi 2.0 platform with Super Fusion's computing foundation, offering comprehensive AI solutions [4] - Li Kaifu emphasized the need for reliable strategic partners to leverage AI for process reengineering and efficiency enhancement [4]

北京商报讯（记者 魏蔚）9月25日，专为AI Agent（智能体）设计的云端基础设施产品阿里云无影 AgentBay升级，推出自进化引擎、内存状态管理、安全围栏新能力，阿里云无影还首次展示全新的个 人计算产品——无影Agentic（代理式） Computer（计算机）。据了解，4月启动公测的AgentBay，定位 是一个为AI Agent量身打造的"超级大脑"或"云上操作系统" ，具备完善的任务执行沙箱、智能运维、持 久化记忆等能力，可动态调用云上算力、存储及工具链资源。Agentic Computer是无影AI云电脑的全新 形态，隐藏了传统的Windows操作界面，通过一个类似浏览器的窗口，用户可以用文字、语音，以及各 种类型的文档类型的交互方式与之对话；构建了完整的个人数字档案，了解用户的工作习惯、兴趣爱 好、知识结构，甚至每一次对话。 ...

9月25日，杭州云栖大会期间，阿里云宣布旗下Agent Infra重要组件——无影AgentBay迎来重大升级， 推出自进化引擎、内存状态管理、安全围栏的全新能力。并首次展示全新的个人计算产品——无影 Agentic Computer，拥有全新的人机交互方式，革命性的"记忆"能力和近乎无穷的云上算力。 AI Agent是当下全球科技和商业的焦点，过去半年涌现的Agent相关产品，超过了2024年的总和，10个 创业者有8个在做各种各样的Agent。Agent行业的快速发展，对其所需的基础设施，也就是Agent Infra （包括Environment、Context、Tools 和 Security等）带来了全新的挑战和更高的要求。 这是专为Agent打造的"超级计算机" 当日，无影还展示了首个Agentic Computer形态的云电脑产品，在此前AI云电脑的操作体验上进行了重 大革新。首先是交互界面的改变，无影AC隐藏了传统的Windows操作界面，通过一个类似浏览器的窗 口，就可以用最自然的交互方式在任何终端上与之对话，支持文字、语音，以及各种类型的文档类型的 交互方式。这种跨终端、跨模态的交互方式，让 ...

Core Insights - The end of the visual dividend has led to a simultaneous downward shift in both the supply and payment curves, resulting in a decline in cloud computing SaaS valuations. The narrative around AI has transitioned from "model innovation" in the Internet+ era to "factor monetization," creating space for a "value reassessment" in the 14th Five-Year Plan [1][2] Group 1: AI Industry Transformations - During the 14th Five-Year Plan, the AI industry has undergone five significant qualitative changes, establishing a foundation for "factorization." These changes include a shift from "technology" to "factors," driven by global and domestic transformations alongside the fourth industrial revolution [2] - Key qualitative changes in the AI industry include: 1) Technological transformation with the end of visual dividends and the emergence of the Transformer architecture as a unified engine for AIGC, establishing a foundation for general intelligence [2] 2) Computational transformation with domestic AI chips gradually closing the efficiency gap with foreign counterparts, and a shift in data center forms from IDC to AIDC [2] 3) Data transformation with public data becoming a tradable fiscal element, filling the gap left by land revenue [2] 4) Policy transformation with AI being integrated into social governance, elevating its role from an "industrial tool" to a "transformation engine" [2] 5) Market transformation with a decline in cloud computing SaaS valuations and a shift in AI narratives towards "factor monetization" [2] Group 2: Future Outlook and Investment Opportunities - The 15th Five-Year Plan is expected to see AI factorization manifest through "price discovery, scale trading, and cross-border output," with Agents as the core vehicle [3] - Key aspects of this outlook include: 1) Product dimension changes where interaction paradigms shift to CUI, and Agents evolve from "passive execution" to "autonomous collaboration," marking the first market-based price discovery for factors [3] 2) Supply dimension with a complete domestic closed-loop system for Agents, enabling the definition of "Agent instruction sets" and achieving factor pricing power [3] 3) Demand-side expansion into global southern markets, with a significant population and a projected 9.2% annual growth rate in the digital economy [3] 4) Expansion of five key scenarios over the next five years, with a shift from "project-based" to "subscription-based" consumption frequency [3] Group 3: Investment Recommendations - Investment in the AI industry can follow four main lines: 1) Computational infrastructure, including domestic AI chips, AI servers, intelligent computing centers, and green computing facilities [4] 2) AI Agents and MaaS services, covering vertical industry software, low-code platforms, and system integrators [4] 3) Intelligent terminals and embodied intelligent robots, including smart connected vehicles, AI smartphones/PCs, AR/VR, and the associated industry chain [4] 4) AI and green low-carbon initiatives, involving smart grids, industrial energy conservation, carbon management software, and system integration [4]