Core Viewpoint - The workshop organized by the Unknown AI Research Institute focuses on "AI Reshaping the Future of Business: Supply Chain AI Transformation," aiming to provide insights and references for the intelligent upgrade of supply chains in a well-known Fortune 500 company [1][6]. Group 1: Workshop Structure - The workshop consists of two parts: theoretical lectures in the morning and practical implementation sessions in the afternoon [3]. - In the morning session, Dr. Du Yu provided in-depth insights into global AI industry trends and discussed how AI technology can reconstruct value for enterprises and upgrade industry paradigms [3]. - The afternoon session emphasized practical operations, where participants discussed specific business scenarios and formulated AI transformation goals [5]. Group 2: AI Transformation Insights - Dr. Du emphasized that the rapid development of AI technology is profoundly changing the business landscape, and companies must embrace AI to gain a competitive edge [3]. - He explored AI-driven business paradigm reconstruction, sharing typical application scenarios and best practices for empowering enterprises with AI [3]. - The successful transformation requires systematic planning in strategy, technology selection, and talent development [3]. Group 3: Future Prospects - Dr. Du expressed optimism about the broad application prospects of AI technology in the supply chain sector, aiming to stimulate internal exploration and application of AI within the company [6]. - The Unknown AI Research Institute is committed to continuing research and promotion of AI technology to assist more enterprises in achieving digital transformation [6][8]. - The collaboration with a renowned international enterprise highlights the institute's professional strength and influence in the AI field [8].

Core Viewpoint - The book "Learn Manus: Practical Guide to AI Agents" aims to transition readers from passive AI users to proactive AI agents, emphasizing the core principles, design philosophy, and practical applications of general AI agents like Manus [1][3][10]. Group 1: Book Overview - The book provides a systematic explanation of the core principles and practical applications of general AI agents, using Manus as a case study [1][3]. - It includes 18 official classic use cases of Manus and offers over 100 ready-to-use prompt templates across four major areas: business operations, education, content creation, and personal life [5][10]. - The authors, led by Dr. Du Yu, have extensive experience in AI and have contributed to national AI projects, ensuring the book's authority and relevance [7][8]. Group 2: Practical Applications - Manus is highlighted for its "actionability," allowing it to decompose tasks, utilize tools, and deliver complete results, unlike traditional chatbots [3][10]. - The book emphasizes practical learning, enabling even zero-based readers to quickly grasp the concepts through case studies and task chain designs [10][11]. - It aims to enhance work efficiency by providing a problem-oriented knowledge chain that connects various concepts and applications [8]. Group 3: Expert Endorsements - Experts in the field have praised the book for its forward-thinking approach and practical insights, indicating its potential to significantly improve work efficiency and provide a vision for the future of AGI [8][10].

Core Viewpoint - The global AI industry is experiencing rapid growth, particularly in generative AI, which is projected to reach a market size of $40 billion by 2024, despite challenges faced by the Chinese AI sector [3][6]. Global AI Industry: Opportunities and Challenges - Generative AI is growing at an annual rate of 83%, becoming a new engine for economic growth, with a projected market size of $40 billion by 2024 [3]. - China's AI industry faces dual challenges: a shrinking financing scale, expected to account for only 5% of the global total by 2024, and restrictions on high-end computing power due to U.S. chip export controls [3]. - Despite these challenges, China holds a 20% share of the global market for large language models, showcasing strong competitive differentiation [3]. DeepSeek: Innovation Breakthrough in Chinese AI - DeepSeek, an AI company backed by Huansheng Quantitative, trained a model comparable to GPT-4 for only $6 million, which is 1/6th of the cost of GPT-4 [6]. - The company achieved over 100 million users within 7 days after integrating into the WeChat ecosystem, with daily active users exceeding 20 million [6]. - This "technology + ecosystem" integration model is expected to reshape user demand expression and transform the search advertising business model [6]. Four High-Potential AI Investment Tracks by 2025 - General Intelligence Agents: Autonomous task execution systems like Manus represent a leap from "dialogue" to "action," with significant potential in office automation and creative production [9]. - Embodied Intelligence and Humanoid Robots: The global humanoid robot market is expected to reach a million units by 2035, focusing on spatial intelligence technology and core component innovation [9]. - Small AI Hardware: Including home entertainment (e.g., FOLO smart toys), wearable devices (e.g., Thunderbird AI glasses), and in-vehicle systems, with a market size exceeding $180 billion by 2024 [9]. - AI for Science: AI is expected to enhance research efficiency by over 70% in fields like materials development and drug discovery, triggering a new scientific revolution [9]. Investment Strategy: Focus on Technology Monetization and Ecosystem Building - Investors are advised to focus on three types of companies: those with core technological barriers in computing chips, data-closed-loop enterprises in vertical scenarios, and platform partners with ecosystem integration capabilities [12]. - The competition in the second half of AI has shifted from pure technological competition to the construction of commercial ecosystems, with companies that can connect "technology - scenario - business model" gaining long-term advantages [12].

Core Viewpoint - The application of AI technology in the fund industry is transforming operations and enhancing efficiency, with a focus on generative AI and its capabilities in content production and task completion [1][4]. Group 1: AI Technology Development - The evolution of AI technology has been systematically reviewed, highlighting the essential differences between generative AI and traditional decision-making AI [4]. - Generative AI, represented by tools like DeepSeek and Sora, is reshaping content production methods and enabling a leap from "answering questions" to "completing tasks" [4]. Group 2: Specific Applications in the Fund Industry - Three main directions for efficiency improvement in the fund industry have been identified: 1. High efficiency in information processing, with tools like Secret Tower AI reducing information collection time by 80% [6]. 2. Automation of content production, utilizing prompt engineering to quickly generate marketing copy and presentations [6]. 3. Intelligent business processes, where digital employees can accurately perform repetitive tasks such as net asset value verification [6]. - A case study from a large fund company demonstrated that deploying RPA digital employees led to the automation of most operational processes, saving over 4,000 work hours annually [6]. Group 3: Current State of AI Development in China - The challenges of computational power bottlenecks in China's AI development were acknowledged, alongside the unique advantages of domestic models [8]. - DeepSeek's open-source strategy and low-cost training characteristics provide a cost-effective AI transformation solution for financial institutions [8]. - Emphasis was placed on the importance of data security, with recommendations for localized deployment to address privacy concerns [8]. Group 4: Future Trends and Initiatives - A series of AI training courses will be launched to help financial institutions cultivate AI talent, emphasizing that the next decade will be a golden period for human-machine collaboration [13]. - Institutions that can build "AI employee" teams early will gain a competitive edge in the industry [13]. - The presentation provided a clear roadmap for the digital transformation of the fund industry, combining theoretical insights with practical value [13].

近日，上海首席风险官交流研讨会在上海外滩茂悦大酒店隆重举行。本次研讨会聚焦"金融 风险管理与新兴工业化"主题，由 高顿教育、上海财经大学、全球风险管理专业人士协会 (GARP®) 联合主办，汇聚了监管机构、金融业、科技业及学术界的众多专家代表，共同资 本市场探讨在支持新型工业化进程中的风险应对策略。 未可知人工智能研究院院长杜雨博士 受邀出席，并在会议中发表了关于金融机构搭建培训体系以提升从业人员与 AI 相关技术及 决策能力的重要见解。 行业现状剖析： AI 重塑金融能力边界 杜雨博士在发言中首先对当前金融行业 AI 应用的现状进行了深入分析。据 BCG 和 Forbes 数据显示，全球 83% 的企业已将生成式 AI 纳入战略规划，但其中 74% 的企业尚未实现 其价值。在金融领域，尽管 AI 应用广泛， 但 目前主流应用仍以传统机器学习、规则引擎等 为主，生成 式 AI 的渗透率不足 3% 。 这一现状背后，存在着认知鸿沟与技能错配两大问 题。 I B M 调研发现，31% 的从业者因缺乏对 AI 本质的认知，无法有效应用相关工具； 而传统规则引擎的依赖，使得从业者在生成式 AI 时代面临复合能力构建的 ...

近日，未可知人工智能研究院院长杜雨博士受邀前往浙江省省级机关党校，为浙江省某省级机 关的领导干部们带来了一场精彩纷呈的人工智能主题培训课程， 深入剖析了当代人工智能的发 展趋势及其在日常工作中的广泛应用，助力领导干部们紧跟时代步伐，拥抱智能科技，注入新 活力。 培训中，杜雨博士详细介绍了全球人工智能产业的发展态势，指出生成式 AI 正在重塑全球经 济结构和社会发展模式，并展示了其在文本、音频、图像和视频生成等领域的强大生产力。他 还着重分析了生成式 AI 在资讯、影视、电商、教育、金融和医疗等行业的具体应用，以及中 国 AI 产业在发展过程中面临的挑战和机遇。 特别值得一提的是，杜雨博士分享了深度求索（ DeepSeek）人工智能公司的崛起历程。作为 国产 AI 大模型的代表， DeepSeek 以其全栈开源、高性价比的特点，成功构建了性能卓越的 国产 AI 模型 ，其训练成本显著低于国际同行，展现出强大的市场竞争力。DeepSeek 的快速 崛起不仅重构了 AI 产业格局，还推动了企业服务智能化变革。 合作联系微信：duyuaigc 合作伙伴 | ]]1 字节剧坛 | a新浪财经 信息不对新 | | | | ...

Core Viewpoint - AI technology is revolutionizing the home retail industry, fundamentally changing the rules of the game [1]. Group 1: AI Efficiency in Home Retail - Traditional human translation of a 150,000-word book costs 18,000 yuan and takes 20 days, while AI tools can accomplish this in just 5 hours at a negligible cost [4]. - AI solutions for the home industry include generating 3D effect images with Ji Meng AI, creating marketing content with DeepSeek and Feishu, personalized recommendations with Coze, and producing differentiated marketing videos with Jianying AI [4]. Group 2: Practical Application of AI Tools - During a practical session, the instructor demonstrated generating 10 different styles of promotional text for a sofa image, showcasing various themes such as "healing" and "promotional" [4]. - The "subject recognition" technology was highlighted as a solution to common product distortion issues in AI-generated images, ensuring professional display quality [4]. Group 3: Optimizing AI Tool Usage - The key to effectively using AI tools lies in mastering "precise instruction design," with the SMART principle recommended for optimizing commands [6]. - Examples of effective commands include generating promotional text aimed at specific demographics with measurable outcomes, such as increasing click-through rates by 20% [6]. Group 4: Future of Work with AI - Concerns about AI replacing human jobs were addressed with the "carbon-based + silicon-based" collaboration model, emphasizing that human creativity and emotional intelligence remain irreplaceable [6]. - The future of work will involve human-AI collaboration, with those who master AI thinking becoming industry leaders [6]. Group 5: Conclusion and Industry Implications - The course concluded with a quote from NVIDIA CEO Jensen Huang, highlighting that every job will be influenced by AI, leading to the disappearance of some roles and the redefinition of others [7]. - The growth potential in the home industry lies in selecting appropriate tools, identifying practical applications, and establishing effective human-AI collaboration mechanisms [7].

Core Viewpoint - The article highlights the successful transformation of Hangzhou into a hub for artificial intelligence, referred to as "China's Computing Valley," showcasing its innovative models and experiences that can serve as a reference for other cities [5][12]. Group 1: Event Overview - The book launch event for "Hangzhou Model" was held at the Zhejiang Library, co-hosted by Zhejiang Library and CITIC Publishing Group, attracting numerous experts and scholars in the field of artificial intelligence and digital economy [3]. - Notable attendees included influential experts such as Liu Dian from Fudan University and Hu Yudong from Renmin University, emphasizing the event's significance in the AI sector [3]. Group 2: Key Insights from the Discussion - Dr. Du Yu emphasized that Hangzhou's success is attributed to its favorable natural and cultural environment, as well as its proactive policies, industrial layout, and technological innovation [5][8]. - The book "Hangzhou Model" details the city's development journey in AI, analyzing its policy environment, industrial ecosystem, and specific practices in technological innovation and talent cultivation [7][8]. Group 3: Implications for Other Cities - The experiences of Hangzhou in AI are not coincidental but are the result of long-term commitment to innovation, talent development, and policy support, providing valuable lessons for other cities [12]. - The event served not only to promote the book but also to showcase Hangzhou's achievements in the AI field, with the Unforeseen AI Research Institute pledging continued support for the city's innovation and development [10].

Core Viewpoint - The collaboration between the Unknown AI Research Institute and Nanjing University of Technology aims to enhance student employment and development in the field of artificial intelligence, marking a significant step in talent cultivation, research innovation, and industrial application [1][10]. Group 1: Collaboration Details - The director of the Unknown AI Research Institute, Dr. Du Yu, has been appointed as an external advisor for graduate students at Nanjing University of Technology, bringing valuable insights and practical experience to the educational program [3]. - The partnership is viewed as a win-win situation, with the university leveraging the research institute's resources to provide students with more practical opportunities and employment channels, while also supplying the institute with talented graduates [3][5]. Group 2: Advantages and Contributions - The Unknown AI Research Institute has a strong research team and extensive project experience, while Nanjing University of Technology excels in talent cultivation and research innovation, allowing for complementary advantages in promoting AI education and industry development [5]. - The research institute will provide internship bases and practical projects for students, enabling them to gain experience and enhance their skills [7]. Group 3: Future Prospects - Both parties will explore the application of artificial intelligence in the education sector, aiming to optimize teaching methods and improve educational quality, thus offering a more personalized and diverse learning experience for students [8]. - This collaboration is seen as a significant milestone in the partnership between research institutes and universities, with plans for continued deepening of cooperation to cultivate more skilled professionals and promote AI technology across various fields [10][12].

Core Insights - The lecture by Zhang Ziming emphasized the transformative impact of AI technology on traditional office practices, highlighting the efficiency gains provided by DeepSeek's text generation and information processing capabilities [3][5] - The collaboration between the Unknown AI Research Institute and Taizhou College aims to enhance AI applications in education, fostering the development of high-quality talent suited for the new era [5] Summary by Sections AI Development Trends - Zhang Ziming provided a systematic overview of the development trends in generative AI and the core advantages of DeepSeek, illustrating how AI is reshaping office workflows [3] Practical Applications - The lecture included practical guidance on optimizing prompt techniques to enable DeepSeek to efficiently handle tasks such as report writing, email drafting, and promotional content creation [3] - Demonstrations of DeepSeek's collaborative use with other AI tools for tasks like information gathering, PPT creation, and multimedia generation showcased AI's potential in office environments [3] Compliance and Safety - Zhang Ziming, as a key contributor to the "Generative AI Data Application Compliance Guidelines," stressed the importance of compliance and safety in AI applications, providing valuable practical insights for attendees [5] Future Collaboration - The successful event established a platform for ongoing collaboration between the Unknown AI Research Institute and Taizhou College, with a focus on advancing AI in the educational sector [5]