上下楼就是上下游 "以前拜访合作伙伴都要跨越很远的路程。如今在张江AI小镇，我一个星期内就见了8拨合作伙伴。"模力社区首批入驻企业极豆科技CEO汪奕菲在接受证券时报记者 采访时表示，当新想法、新技术涌现时，可以第一时间和产业伙伴面对面沟通，从而加速产品迭代效率。 对于蓬勃发展的人工智能产业而言，技术如何与实际需求接轨并找到应用场景，始终是一大痛点。在模力社区，通过产业集聚和生态赋能，"上下楼就是上下游"成 为了企业经营的日常，一张紧密的产业链协作网络已编织起来。 记者实探。 在上海浦东张江，有一片约1平方公里的土地，汇聚了人工智能企业成长壮大需要的各种养料：国内首个"5G+AI"全场景商用示范园区——张江人工智能岛、"让创 业者服务创业者"的产业生态圈载体——模力社区、股权投资的枢纽和高地——上海科技投资大厦……这些产业载体，组成了近日亮相的张江AI小镇。 张江AI小镇繁荣的背后，是浦东新区致力于将人工智能打造成世界级产业集群的雄心。记者在调研中发现，以张江AI小镇为代表的浦东新区人工智能产业，重点发 力于"要素支撑、融合赋能"，正加速赋能应用。浦东所拥有的高端制造、生物医药、金融科技等产业矩阵，正是垂类大模 ...

证券时报记者 陈雨康 在上海浦东张江，有一片约1平方公里的土地，汇聚了人工智能企业成长壮大需要的各种"养料"：国内 首个"5G+AI"全场景商用示范园区——张江人工智能岛、"让创业者服务创业者"的产业生态圈载体—— 模力社区、股权投资的枢纽和高地——上海科技投资大厦……这些产业载体，组成了近日亮相的张江 AI小镇。 "张江AI小镇"繁荣的背后，是浦东新区致力于将人工智能打造成世界级产业集群的雄心。记者在调研中 发现，以张江AI小镇为代表的浦东新区人工智能产业，重点发力于"要素支撑、融合赋能"，正加速赋能 应用。浦东所拥有的高端制造、生物医药、金融科技等产业矩阵，正是垂类大模型、具身智能机器人探 索应用落地、验证技术能力的最佳演练场和庞大需求池。这种独特的发展生态和场景供给能力，打破了 创新孤岛，构筑起浦东人工智能产业的核心竞争力。 上下楼就是上下游 "以前拜访合作伙伴都要跨越很远的路程。如今在张江AI小镇，我在一个星期内就见了8拨合作伙 伴。"模力社区首批入驻企业极豆科技CEO汪奕菲在接受证券时报记者采访时表示，当新想法、新技术 涌现时，可以第一时间和产业伙伴面对面沟通，从而提高产品迭代效率。 对于蓬勃发展的 ...

Core Viewpoint - Shanghai Yangpu District is leveraging its regional advantages in technology innovation and diverse application scenarios to accelerate the development of an artificial intelligence (AI) industry ecosystem, focusing on the "AI+" initiative and collaborating with local universities and enterprises for practical applications [1][2][3] Group 1: Technology Innovation - Yangpu is establishing a collaborative innovation mechanism by integrating enterprises, universities, and research institutions to enhance the core driving force of the industrial ecosystem [1] - The Shanghai Quantum City Time-Space Innovation Key Laboratory has been established, and various platforms for technology transfer and brain-like chip development are being advanced [1] - Partnerships with Fudan University and Tongji University are being formed to create innovation centers and research institutes aimed at technology transfer and application [1] Group 2: Industry Collaboration - Yangpu is focusing on connecting the "technology-product-market" chain and establishing a key industry chain management system to enhance the role of leading enterprises [2] - The district is supporting the launch of new drone delivery routes by Meituan, enriching the "AI+ consumption" scenarios [2] - A strategic partnership with Volcano Engine is being formed to build a "City AI Factory," promoting AI's integration into internet content creation [2] Group 3: Environmental Support - Yangpu is implementing policies to empower innovation, ensure data security, and cultivate talent, aiming to activate the internal dynamics of the industrial ecosystem [3] - The district is applying to establish a "National Digital Economy Innovation Development Experimental Zone" and is advancing the construction of a digital economy data innovation laboratory [3] - A "Shanghai Large Model Compliance Guidance Service Center" is being established to support enterprises in the registration of specialized large models and related products [3]

Core Points - The Ministry of Human Resources and Social Security in China has announced the addition of 17 new occupations and 42 new job types, reflecting the emergence of new technologies and industries as the economy shifts towards high-quality development [1][18] - New job roles such as "Generative AI Animation Maker" and "Drone Swarm Flight Planner" are examples of how the demand for AI integration in various sectors is creating new career paths [3][8] - The digital content market is projected to exceed 10 trillion, indicating a significant growth potential for new roles in the animation and digital content creation industry [5] Group 1: New Occupations - The new occupations include roles like "Generative AI Animation Maker," which involves using AI tools to create animation based on client needs [3] - "Drone Swarm Flight Planner" is another new role that requires skills in programming and creative design to manage drone performances [8] - The emergence of these roles is a direct response to the increasing demand for AI in production across various industries [7] Group 2: Industry Trends - The animation industry is seeing a shift where traditional skills are being complemented by AI technology, leading to a new career path that emphasizes both artistic and technical skills [5][10] - The travel photography sector is also evolving, with roles like "Travel Photography Customization Specialist" emerging to meet the growing demand for personalized travel experiences [14] - The overall trend indicates a broader transformation in the job market, driven by technological advancements and changing consumer preferences, leading to the creation of diverse new job types [18][19]

Group 1 - The core viewpoint is that Zero One Matter is making rapid progress in vertical AI models, particularly in the gaming sector through collaborations with listed gaming companies and other industry players [1][2] - Zero One Matter has established a joint venture with Zhi Soft Zhi Yun to focus on vertical models in the intellectual property field, indicating quick advancements in this area as well [1] - The company emphasizes the importance of industry knowledge and AI integration, suggesting potential future joint ventures with industry partners in promising sectors [1] Group 2 - The current price competition in the domestic AI industry is highlighted as a significant issue, with concerns that it may lead to a decline in quality, affecting user perceptions of AI [1] - The effectiveness of AI is believed to be best demonstrated through collaboration with leading companies, both internationally and domestically, to ensure substantial outcomes and high cooperation levels [2]

Core Insights - The discussion at the forum highlighted the rapid evolution of artificial intelligence (AI) and the emergence of vertical large models that accelerate industrial intelligence [1][2] - Beijing Zhongguancun Kejin Technology Co., Ltd. is positioned as a leading company in the vertical large model sector, having deployed over 200 large model applications across various industries [1][2] - The vertical large models are tailored to specific industry needs, offering greater specialization and precision compared to general large models [1][2] Industry Growth - The vertical large model market in China is experiencing rapid growth, with the Model as a Service (MaaS) market projected to reach 710 million yuan in 2024, a year-on-year increase of 215.7% [2] - The AI large model solution market is also expected to grow significantly, reaching 3.49 billion yuan in 2024, reflecting a year-on-year growth of 126.4% [2] Business Needs - Different types of enterprises have varying core values regarding digital intelligence, with manufacturing firms focusing on automation, energy savings, and product quality, while service-oriented firms prioritize customer acquisition and service cost reduction [3] - The integration of edge perception, user information, and industry knowledge into a unified computational management system is essential for building an intelligent framework within enterprises [3]

Core Viewpoint - The security and controllability of large models are becoming prerequisites for industrial implementation, especially in critical sectors like finance and healthcare, which demand higher standards for data privacy, model behavior, and ethical compliance [1][6]. Group 1: AI Security Issues - Numerous security issues have emerged during the implementation of AI, necessitating urgent solutions. These include risks of model misuse and the need for robust AI detection systems as the realism of AIGC technology increases [6][8]. - Examples of security vulnerabilities include the "grandma loophole" in ChatGPT, where users manipulated the model to disclose sensitive information, highlighting the risks of data leakage and misinformation [8][9]. - The potential for AI-generated content to be used for malicious purposes, such as creating fake videos to mislead the public or facilitate scams, poses significant challenges [9][10]. Group 2: Stages of AI Security Implementation - The implementation of AI security can be divided into three stages: enhancing the reliability and safety of AI itself, preventing misuse of AI capabilities, and ensuring the safe development of AGI [11][12]. - The first stage focuses on fortifying AI against vulnerabilities like model jailbreaks and value misalignment, while the second stage addresses the risks of AI being weaponized for fraud and misinformation [12][13]. Group 3: Practical Solutions and Products - The company has developed various platforms and products aimed at enhancing AI security, including AI safety and application platforms, AIGC detection platforms, and a super alignment platform for AGI safety [13][14]. - A notable product is the RealGuard facial recognition firewall, which acts as a preemptive measure to identify and reject potential attack samples before they reach the recognition stage, ensuring greater security for financial applications [16][17]. - The company has also introduced a generative AI content monitoring platform, DeepReal, which utilizes AI to detect and differentiate between real and fake content across various media formats [19][20]. Group 4: Safe Implementation of Vertical Large Models - The successful deployment of vertical large models requires prioritizing safety, with a structured approach to model implementation that includes initial Q&A workflows, work assistance flows, and deep task reconstruction for human-AI collaboration [21][22]. - Key considerations for enhancing the safety of large models include improving model security capabilities, providing risk alerts for harmful outputs, and reinforcing training and inference layers [22][23]. Group 5: Future Perspectives on AI Development - The evolution of AI capabilities does not inherently lead to increased safety; proactive research and strategic planning for security are essential as AI models become more advanced [24][25]. - The organization of intelligent agents and their integration into workflows is crucial for maximizing AI productivity and ensuring that safety remains a fundamental prerequisite for the deployment of AI technologies [25][26].