课程内容涵盖了 从智能体的基础概念到实际应用场景 的多个方面，包括但不限于： 基于知识库搭建 AI客服智能体 在近日， 未 可知人工智 能研究院与三节课携手合作 ，成功举办了主题为" 定制你的智能体 "的AI课程。 本次课程由未可知人工智能研究院资深讲师Jeffrey老师授课，吸引了众多对AI技术感兴趣的 学习者参与， 共同探索如何利用AI技术定制专属智能体，提升工作效率和业务能力。 课程亮点：深度解析智能体定制与应用 Jeffrey老师凭借其在人工智能领域的深厚背景和丰富经验，为学员们带来了一场精彩的知识 盛宴。 Jeffrey老师首先介绍了 如何基于知识库搭建AI客服智能体 。 他以三节课的会员权益为例，展示了如何通过知识库让智能体更好地理解用户需求并提供精准 服务。学员们了解到，通过准备详细的业务知识库，智能体可以实现与用户的高效互动，提升 用户体验和服务质量。 飞书多维表格批量分析运营周报 课程中， Jeffrey老师还分享了 如何利用飞书多维表格和AI工具批量分析运营周报。 他通过实际数据，展示了如何快速生成流量数据、转化率数据、销售数据等关键指标的分析报 告。 学员们学会了如何利用 AI工具提高数 ...

与此同时，大会将聚焦以下十二大专题，全面呈现当前最具突破性与实践价值的 AI 研究与 应用成果：大语言模型技术演进、大模型应用开发实践、大模型驱动的软件开发变革、多模 态大模型前沿、GenAI 产品创新与探索、AI Infra 大模型基础设施、大模型工程与架构、 具身智能与智能硬件、算力基建与性能优化、DeepSeek 技术解析与行业实践、AI 智能 体、大模型 + 行业落地实践。无论你是科研学者、技术专家，还是行业从业者，都将在这 里收获前沿洞见和实践经验，共同推动 AI 时代的技术变革与应用落地。 官网：https://ml-summit.org/ 2025 全球机器学习技术大会·上海站全日程正式发布，邀您一同见证 AI 的真实进化轨迹， 抢先布局智能时代的新增长引擎。 最新最全的日程来了 AI Agent 将成为各行各业的"虚拟同事"。 OpenAI CEO Sam Altman 直言，强大智能的 Agent 使用成本正以指数级下降，快速融入各类工作场景。AI 正在从"工具"走向"搭档"， 正式从信息助手跃升为任务执行者，开始重塑"人-机"关系。计算力演进、强化学习落地、 Agent 架构普及、多模态技 ...

Core Insights - The music industry is experiencing a transformative phase with the integration of AI, but the transition from "fun" to "beautiful" music creation is still ongoing [1][18] - Migu Music is leveraging its extensive copyright resources and innovative AI tools to enhance user engagement and create unique offerings like AI video ringtones [4][5][31] Group 1: AI Music Development - The current state of AI music is described as "fun" but not yet "beautiful," indicating that further integration of art and technology is needed [1][18] - A high-quality AI song still requires significant human input, as demonstrated by the creation of the AI theme song for the T-EDGE conference, which involved generating over 60 versions before finalizing [2][3] - The rapid evolution of AI models creates a sense of urgency for companies to adapt or risk being left behind [6][12] Group 2: Migu Music's Strategy - Migu Music has transitioned from a traditional ringtone service to a comprehensive music platform, maintaining its core ringtone functionality while expanding into AI-driven services [4][5] - The company has achieved significant user engagement, with 80 million monthly active users for video ringtones within a year of transforming the service into a media-oriented business [5] - Migu Music's AI video ringtone service focuses on 15-second videos, balancing user engagement and content generation efficiency [6][26] Group 3: Market Position and Competition - The music industry is currently dominated by Tencent Music and NetEase Cloud Music, creating a competitive environment where Migu Music seeks differentiation through innovative offerings [3] - Migu Music's video ringtone service is positioned as a unique value proposition, especially in the context of stable voice call usage despite the rise of messaging apps [7][25] - The company is exploring commercial opportunities within its video ringtone service, including potential advertising and promotional content for businesses [30][32] Group 4: Future Outlook - Migu Music anticipates that the AI video ringtone service will become a major growth driver, as user creativity and engagement are expected to increase with better tools and features [31][32] - The company is committed to refining its products and expanding its market reach, leveraging its operator resources for growth [33][34] - The integration of AI in music creation is seen as a pathway to democratize music production, with plans to incentivize AI creators through revenue-sharing models [21][24]

Core Viewpoint - The research team proposes that agents are not only central to the field of AI but may also represent the fundamental units of the universe, potentially leading to a significant paradigm shift in 21st-century science [1][2]. Group 1: Theoretical Breakthroughs - The theory suggests that viewing agents as the basic units of the universe can lead to at least five important theoretical breakthroughs in fundamental science [2][3]. - A unified formal description of agents may bridge the gap between physical systems and intelligent systems, forming a comprehensive theoretical framework [2]. - Understanding observers as different levels of agents can clarify the fundamental reasons behind the differences among classical mechanics, relativity, and quantum mechanics [2][3]. Group 2: Historical Context - The article outlines the historical development of the concept of the universe's fundamental units, starting from Rutherford's atomic model in 1911 to the establishment of the standard model of particle physics [4][5]. - Despite the success of the standard model, it fails to explain the quantization of gravity, leading to the exploration of string theory and loop quantum gravity, which also face challenges [5]. Group 3: Definition and Evolution of Agents - The article discusses the evolution of the concept of agents, tracing back to Wiener’s cybernetics in 1948 and the development of the first intelligent systems [6][7]. - By 2025, agent technology is expected to become a focal point in the global tech industry, with major companies like Microsoft, Google, and Nvidia investing heavily in this area [8]. Group 4: Agent as the Basic Unit of the Universe - The research team introduces a "standard agent model" that posits any system can be viewed as an agent with five basic functions: input, output, storage, information creation, and control [10][11]. - This model allows for a comprehensive understanding of various intelligent phenomena, suggesting that all intelligent behaviors can be reduced to information processing [11][12]. Group 5: Exploration of Fundamental Scientific Questions - The team explores five fundamental questions, starting with the essence of intelligence and consciousness, asserting that agents are the carriers of these concepts [16][17]. - The framework allows for a unified description of various scientific domains, positioning the universe itself as an evolving agent [18][19]. - The differences among classical mechanics, relativity, and quantum mechanics can be traced back to the varying intelligence levels of observers [20][21]. Group 6: Future Research Directions - Future research will focus on refining the mathematical foundations of the theoretical framework, designing verifiable physical experiments, and exploring applications in advanced technologies like reinforcement learning and quantum computing [33][34].

Core Viewpoint - The article discusses the launch of Genspark, a new AI agent developed by MainFunc, which has gained attention for its capabilities in automating tasks and outperforming competitors in benchmark tests [4][8]. Group 1: Genspark Overview - Genspark is a general-purpose AI agent that can autonomously think, plan, and utilize tools to assist users with daily tasks [11]. - It emphasizes real-time interaction, reduced hallucination and error rates, and allows users to make adjustments during the process [12]. - The agent can perform complex tasks, such as converting a 5-hour YouTube video into a 10-page PPT [13]. Group 2: Company Background - MainFunc, the company behind Genspark, was founded by former Baidu executives Jing Kun and Zhu Kaihua in June 2024, initially focusing on AI search [8][32]. - The company raised $60 million (approximately 435 million RMB) in seed funding, achieving a post-money valuation of over 1.8 billion RMB [8]. - Genspark's initial positioning as an AI search product has shifted towards a broader focus on AI agents [35]. Group 3: Features and Capabilities - Genspark integrates various AI models, including DeepSeek V3 and R1, and utilizes a hybrid system with nine different scales of large language models (LLMs) [29]. - It offers over 80 tools and more than ten advanced datasets extracted from the internet [30]. - The agent has demonstrated its ability to create functional applications, such as a Flappy Bird-style game, in just two minutes [22]. Group 4: Market Context and Trends - The AI search market is becoming increasingly competitive, with significant resources and user attention concentrating on leading companies [44]. - The article notes that as AI agents gain popularity, entrepreneurs face critical decisions regarding their business strategies [46]. - Genspark's transition from AI search to a more versatile AI agent reflects broader industry trends and the need for adaptability in startups [42].

Group 1 - The core viewpoint is that Everbright Bank is actively deploying its technology finance organizational system, establishing a financial technology leadership group at the headquarters and selecting 16 key branches focused on technology finance in strategic regions such as Beijing-Tianjin-Hebei, Guangdong-Hong Kong-Macao, and the Yangtze River Delta [1] - Everbright Bank's technology and green loan growth exceeded 40% last year, with technology enterprise loan balance reaching 379.5 billion yuan, a year-on-year increase of 42.1%, and green loan balance at 442.4 billion yuan, up 41.0% from the previous year [1] - The bank plans to increase credit support in technology, green, inclusive, manufacturing, private, and agricultural sectors, with this year's credit increment expected to account for over 70% of the total planned increase in corporate credit [1] Group 2 - The bank aims to enhance its financial supply by integrating services across the entire lifecycle of key technology enterprises, including equity, loans, bonds, and private investments [2] - Everbright Bank has established a modeler team to accelerate the construction and application of large models, implementing a comprehensive talent training mechanism with five levels of modeler expertise [3] - The bank has launched a self-developed model management platform for unified management and deployment of models, significantly improving operational efficiency [3]

打造上海创新应用中心的高地。 AutoGLM背后是GLM大语言模型、多模态理解模型、Agent、语音模型等多个模态的模型。未来， AutoGLM和GLM全系列模型将在"模力社区-智谱大模型MaaS平台"上面向模力社区开放。 本文为IPO早知道原创 作者｜Stone Jin 微信公众号｜ipozaozhidao 据IPO早知道消息，上海张江（集团）有限公司（以下简称"张江集团"）与北京智谱华章科技有限公 司（以下简称"智谱"）于2025年3月14日正式签署战略合作，双方联合发布"模力社区-智谱大模型 MaaS平台"。 这里不妨补充一点， 作为浦东新区重点打造的垂类模型生态集聚区，模力社区自2024年8月30日开 业以来，已集聚大模型上下游生态企业近50家，重点涵盖了具身智能、科学智能、应用智能等多个 领域，形成了较为完整的产业生态 。智谱的正式落地，标志着模力社区产业能级实现跨越式提升。 下一步，依托智谱国产大模型基座和领先的智能体（AI Agent）技术，模力社区企业可以在"模力社 区-智谱大模型MaaS平台"上更高效、更低成本地调用GLM全栈能力，构筑丰富强大的智能体应 用。链接技术创新与市场需求，发挥GL ...

Investment Rating - The report maintains an "Outperform" rating for the telecommunications industry, indicating an expected performance exceeding the benchmark index by more than 10% [1][38]. Core Insights - The launch of the AI agent platform Manus signifies a maturation of intelligent agent capabilities, with significant market interest and a rapid increase in computational token consumption [4][11]. - Manus is designed to integrate various capabilities, including planning, tool usage, and memory, which are essential for executing complex tasks and will lead to a substantial increase in computational demand [4][12]. - The report emphasizes that the domestic computational power sector is currently the largest investment theme, with recommendations to focus on companies benefiting from capital expenditures by CSPs and operators [5][13]. Summary by Sections Industry Investment Rating - The telecommunications industry is rated as "Outperform" with expectations of exceeding the benchmark index by over 10% [1][38]. Market Performance - The overall market saw an increase during the week of March 3 to March 9, 2025, with the Shenwan Communications Index rising by 2.81% and the STAR Market Index increasing by 2.67% [6][14]. Key Developments - The Manus AI platform has been released, showcasing advanced capabilities in handling various tasks, which has garnered significant attention in the market [4][11]. - The report highlights that the introduction of Manus will lead to a dramatic increase in the consumption of computational tokens, with a single task running cost estimated at approximately $2, significantly lower than previous models [4][12]. Investment Recommendations - The report suggests focusing on domestic computational power, particularly in sectors such as servers, switches, optical modules, and IDC infrastructure, which are expected to benefit from increased capital expenditures [5][13]. - It also recommends monitoring overseas computational sectors for innovations in NV technology and ASIC capital expenditures, especially with upcoming events like GTC2025 [5][14]. - Attention is drawn to edge AI applications, particularly in IoT modules and edge computing, as they align with privacy compliance requirements [5][14]. Notable Companies to Watch - Domestic computational power: Unisplendour, Ruijie Networks, Guangxun Technology, Huagong Technology, Guanghuan New Network, Aofei Data, Chaoxun Communication, Langwei Co [5][15]. - Overseas computational power: NewEase, Tianfu Communication, Zhongji Xuchuang, Taicheng Light, Guangku Technology, Dingtong Technology, Wolong Nuclear Materials [5][15]. - Edge AI: Guanghetong, Yiyuan Communication, Meige Intelligent, Yuntian Leifeng, Yinghantong, Tianzhun Technology, Heertai, Tuobang Co [5][15].

Macro Dynamics - In February, domestic retail sales of new energy passenger vehicles reached 686,000 units, a year-on-year increase of 79.7% [1] - The overall retail sales of passenger vehicles in February amounted to 1.386 million units, reflecting a year-on-year growth of 26% [1] AI Industry Developments - Wuhan's 2025 AI Industry Development Action Plan emphasizes the transition from large models to intelligent agents, with support from industrial policies [2] - The plan includes the establishment of a service team to coordinate data and computing resources for AI companies, aiming to develop intelligent products across various sectors [2] Financial Market Insights - The first two phases of savings bonds were issued with a total maximum issuance of 30 billion yuan, attracting high investor interest, leading to some bank branches selling out quickly [7] - On March 10, A-shares experienced slight adjustments with total trading volume shrinking by over 300 billion yuan, while the market saw mixed performance across sectors [8] - As of March 7, the total margin balance in the two markets decreased by 9.487 billion yuan [9] - The Hang Seng Index fell by 1.85%, with southbound funds recording a net purchase exceeding 29 billion HKD, marking a historical high [10] Commodity Market Trends - On March 10, domestic commodity futures closed with mixed results, with major contracts like soybean meal reaching the daily limit [11] Company News - Midea Group has implemented a policy to encourage employees to leave work by 18:20, aiming to reduce overtime and promote a healthier work culture [13] - Haier Group denied rumors of enforcing mandatory double weekends for employees, clarifying that no such notice was issued [15] - Hu Yuhua, the president of Goodix Technology, resigned for personal reasons, with the chairman temporarily taking over the role [16] - A 00s streamer utilized DeepSeek to generate sales of 330 million yuan in a single day, showcasing the tool's effectiveness in enhancing work efficiency [17]

Core Viewpoint - The article discusses the rapid development and popularity of the intelligent agent sector, particularly highlighting the impact of the Manus product and the emergence of open-source projects like OWL and OpenManus, which have sparked a wave of innovation and competition in the field [1][2][3]. Group 1: Manus and Its Impact - Manus has significantly influenced the intelligent agent landscape, leading to a surge in both open-source and commercial closed-source products [1]. - The official social media account of Manus faced a temporary ban but has since resumed, promising more demonstrations and updates [12]. - Manus has gained traction internationally, with strategies such as distributing invitation codes to influencers and users [13][14]. Group 2: Open-Source Projects - The OWL project, developed by the CAMEL-AI team, has integrated the DeepSeek model into a multi-agent collaboration framework, showcasing its capabilities [3][4]. - OWL achieved an average score of 58.18 in the GAIA benchmark, ranking first among open-source projects [5][6]. - The CAMEL-AI team expressed confidence in improving their scores in the GAIA benchmark, despite some gaps in Level 2 and Level 3 scores compared to competitors [7]. Group 3: GAIA Benchmark - The GAIA benchmark, created by Meta AI, Hugging Face, and AutoGPT teams, consists of over 450 complex questions designed to evaluate the capabilities of intelligent agent systems [24][25]. - The benchmark is divided into three levels of difficulty, with Level 1 requiring simple problem-solving and Level 3 demanding advanced capabilities [26][27]. - Manus scored 57.7% in Level 3, significantly outperforming other systems, while its Level 2 score was close to that of commercial systems [28][29]. Group 4: User Experiences and Market Trends - Users have reported high satisfaction with Manus, noting its ability to accurately gather personal information and perform complex tasks [18][19][20]. - The willingness to pay for Manus is higher among international users compared to domestic ones, as it offers a more affordable alternative to other high-end AI solutions [17]. - The article highlights a growing interest in agent-related projects on platforms like GitHub, indicating a trend towards the development of specialized intelligent agents in various fields [8][9].