记者 李晔 市经信委总工程师裘薇透露，上海版《开源方案》着力构建技术、人才、企业三位一体的开源创新 生态，并提出阶段性目标：通过3至5年努力，打造1至2个国际先进开源社区，孵化200个以上优质开源 项目，集聚超300万全球开发者。 根据《开源方案》，为加快形成上海具有国际竞争力的开源创新策源地，上海计划实施开源基础能 力筑基、开源项目培优、开源人才集聚、开源文化普及、开源治理协同五大提升工程。 开源项目培优工程，则将开源行为提升为"受鼓励的创新行为"。裘薇明确，上海将针对重磅开源项 目给予直接激励，奖金最高500万元。"我们将基于各类开源挑战赛、开发者大赛，每年遴选不少于50个 优质开源创业项目，联动模速空间、模力社区等建立协同招商机制，并推荐各类基金机构给予投资，探 索出一条将开源从'企业成本项'转变为'战略资产'的演进路径。" 开源不只是简单的代码共享，还是技术创新的核心引擎，更是赢得未来科技竞争主动权的重要抓 手。记者获悉，由市经信委牵头起草的《上海市加强开源体系建设实施方案》（以下简称《开源方 案》）近期已正式施行。 另据记者了解，上海已在率先研究如何让开源人才"名利双收"。《开源方案》明确实施"开源 ...

上天天基金APP搜索777注册即可领500元券包，优选基金10元起投！限量发放！先到先得！ 上海出手了！ 12月25日消息，上海市人民政府办公厅近日印发《上海市加强开源体系建设实施方案》（以下简称《实 施方案》），从实施开源基础能力筑基工程、开源项目培优工程、开源人才集聚工程、开源文化普及工 程、开源治理协同工程五个方面提出了12条具体举措，自2025年12月15日起施行，有效期至2028年12 月14日。 《实施方案》还明确，构建开源生态服务圈。聚焦通用人工智能、智能芯片、高端软件、下一代互联网、 元宇宙等重点方向，支持企事业单位、科研机构、行业组织等建设一批专业从事开源项目协作开发、新技 术验证、部署运维等的服务平台，培养一批开源专业服务商，加大对公共服务平台的支持力度。瞄准重大 开源项目生态体系，建设垂直领域孵化创新中心。 《实施方案》要求，强化开源工具链攻关。重点突破人工智能编译器、模型压缩、跨模态对齐、智能体开 发等人工智能开源工具链，跨项目代码复用、自动化测试、性能优化等软件开源工具链，以及编译器、模 拟器、硬件仿真、操作系统适配等RISC—V开源工具链。支持企业基于自主芯片、模型等产品打造兼容国 ...

中国下一代互联网（CNGI，IPv6）建设市场发展现状与前景趋势展望报告2026年版 本文源自：鸿晟信合研究院 内容有省略，详细图表可咨询客服 第1章：下一代互联网的界定及发展环境剖析 1.1 下一代互联网的界定及相关统计说明 1.1.1 IPv4面临的主要问题及IPv6发展的背景 （1）互联网与互联网协议 （2）互联网发展历程 （3）下一代网络发展趋势 （4）IPv4的不足及下一代互联网的提出 1.1.2 下一代互联网的界定与演进路径 （1）下一代互联网的界定 （2）IPv6的特征及其相较于IPv4的变化及优势 （3）IPv4向IPv6演进的实施路径 （4）IPv4向IPv6的演进步骤 （5）IPv6的地址分类、表示法及接口标识符 （6）中国下一代互联网部署与建设发展历程 （7）中国下一代互联网示范工程项目（CNGI） 1.1.3 行业所属国民经济行业分类代码 1.1.4 本报告的数据来源及统计标准说明 1.2 下一代互联网建设技术环境 1.2.1 下一代互联网建设关键技术 （1）双协议栈 （2）隧道技术 （3）网络地址转换技术 1.2.2 基于IPv6+的下一代互联网技术创新 （1）概况 （2）IPv6+ ...

Core Insights - Cathy Wood, CEO of Ark Invest, highlighted that the AI sector is currently dominated by four major players: OpenAI, Anthropic, Elon Musk's xAI, and Google's Gemini, with competition intensifying among them [1] - Ark Invest is increasing its focus on AI, cloud computing, and the next-generation internet, particularly targeting Chinese tech stocks [1][2] Fund Activities - **ARK Innovation ETF (ARKK.US)**: - Reduced holdings in Roku by approximately 68,000 shares, valued at over $6.5 million, and continued to decrease exposure to Tempus AI by over 107,000 shares, valued at over $8 million [1] - Sold about 138,000 shares of AMD, valued at approximately $22 million, and reduced Roblox holdings by over 38,000 shares, valued at $5 million [1] - **Increased Holdings**: - Acquired approximately 120,000 shares of Intellia Therapeutics, valued at about $1.96 million, and made its first purchase of Alibaba since 2021, buying around 63,000 shares valued at approximately $11 million [2] - Also invested in Baidu, purchasing about 82,000 shares, valued at approximately $11 million [2] - **ARK Next Generation Internet ETF (ARKW.US)**: - Increased Alibaba holdings by about 42,000 shares, valued at over $8 million, while reducing positions in Shopify and Roblox [2] - **ARK Genomic Revolution ETF (ARKG.US)**: - Continued to increase holdings in Arcturus Therapeutics, purchasing approximately 65,000 shares, with a total increase of about 136,000 shares over two weeks [3] - Also added over 17,000 shares of Intellia Therapeutics [3] - **ARK Fintech Innovation ETF (ARKF.US)**: - Increased Alibaba holdings by about 50,000 shares, valued at over $8 million [3] - **ARK Autonomous Technology & Robotics ETF (ARKQ.US)**: - Purchased over 21,000 shares of Baidu and 106,000 shares of Pony.ai, valued at $2.2 million, while reducing holdings in Kratos Defense by about 71,000 shares and completely selling Oklo, valued at $6 million [3]

Core Viewpoint - China Unicom is accelerating the integration of artificial intelligence (AI) into its operations, focusing on building a robust digital infrastructure, enhancing AI technology, and promoting practical applications across various industries [4][5][9]. Group 1: AI Infrastructure Development - China Unicom is rapidly expanding its digital infrastructure, establishing multiple intelligent computing centers, and aims to achieve a computing scale of 45 EFLOPS by the end of the year [5][6]. - The company is upgrading its mobile network from 5G to 5G-A and broadband from gigabit to 10-gigabit, enhancing connectivity and reducing latency [5][6]. - It is also developing a dedicated AI network to support various industries, including government and education, with capabilities for seamless service experiences [6][7]. Group 2: AI Technology Integration - China Unicom has upgraded its cloud services, emphasizing the integration of computing and intelligence, and launched a new brand slogan "AI Smart Choice Unicom Cloud" [8]. - The company has enhanced its MaaS platform to facilitate the development of AI applications, allowing users to create intelligent applications with minimal coding [8][9]. - It is also focusing on building trusted data spaces and has initiated over 60 pilot projects across various sectors to enhance data quality and accessibility [8][9]. Group 3: Practical Applications of AI - China Unicom is targeting six key industries: government, economic operations, industrial, medical, education, and cultural tourism, to create real value through AI applications [9][10]. - In the government sector, it has implemented AI models that have reduced call handling times by 25% and complaint processing times by 50% in cities like Beijing [9][10]. - The company has developed AI solutions for industrial manufacturing, healthcare, and education, significantly improving operational efficiency and service delivery [10][11].

Group 1 - The core idea of the article revolves around the transformative impact of AI on various sectors, particularly education and the emergence of a new internet era led by smart glasses [1][3]. - Kevin Kelly predicts that by 2049, smart glasses will largely replace smartphones, creating a "mirror world" where the real and virtual seamlessly blend [3][4]. - The article emphasizes that the next generation of the internet will be driven by companies providing foundational data services for this mirror world, with a potential shift in dominance towards countries like India due to geopolitical factors [5][6]. Group 2 - The article outlines specific scenarios where smart glasses will enhance daily activities, such as real-time information display in kitchens and immersive learning experiences in educational settings [4][6]. - It highlights the potential for a surge in demand for 3D immersive content and experiences, transforming industries like gaming and education into more interactive and engaging formats [6][7]. - The article raises concerns about privacy and the implications of pervasive data collection in a world where individuals' preferences and movements are constantly monitored [7].

Summary of Conference Call on AI and Multi-Agent Systems Industry Overview - The conference focuses on the AI industry, particularly the development of chatbots and multi-agent systems, highlighting the transition from single agents to multi-agent systems as a significant trend in AI technology [2][3][7]. Key Points and Arguments 1. **Current State of AI Agents**: The development of AI agents is limited by model capabilities and engineering challenges. Despite high expectations for agents that can replace humans in complex tasks, no mature products have emerged yet [3][4]. 2. **Minus Product**: The Minus product is not an innovative model but offers a new approach to achieving multi-tasking capabilities within existing model limitations. It has sparked interest in the industry for practical applications of agents [4][5]. 3. **Multi-Agent Systems (MAS)**: MAS is a crucial direction in AI development, where multiple agents collaborate to compensate for individual limitations. This system enhances task automation and has shown promising results post-Minuse product launch [5][15]. 4. **Technological Breakthroughs in 2024**: Key advancements in AI technology include improvements in perception, definition, memory, planning, and action, laying the groundwork for more sophisticated multi-agent systems [6][10]. 5. **Action Mechanisms**: Significant breakthroughs in the action phase include virtual machine forms that address data source access issues and agent orchestration capabilities that assign tasks to the most suitable agents [9][10]. 6. **Progress in Large Models**: Large models have made notable progress in reasoning and action through methods like Chain of Thought (COT) and Reasoning + Acting, although human intervention remains common in enterprise applications [10][11]. 7. **Code Agent Development**: Code agents have matured, capable of automating various coding tasks and expanding their application scenarios beyond just code generation [11][12]. 8. **Data Access and Personalization**: The extent of data access is a critical factor in extending general scenarios, with companies like Apple and Tencent working on integrating personal behavior data for enhanced services [12][13]. 9. **MCP Protocol**: The MCP protocol is designed for cloud systems to ensure standardized information sharing and task collaboration among agents, which is vital for the development of multi-agent systems [13][14]. 10. **Enterprise Demand for MAS**: Companies have complex task orchestration needs, leading to significant interest in multi-agent architectures. Firms like Workday, ServiceNow, and Salesforce are exploring these systems to maximize their value [28][30]. Additional Important Insights - **Future of Multi-Agent Technology**: Multi-agent technology is expected to evolve from individual agents to a network, becoming a vital part of the next generation of the internet. This technology will play an increasingly important role in consumer devices [29][30]. - **Open Source Frameworks**: Various open-source multi-agent frameworks are emerging, providing users with customizable solutions to meet their specific needs [25][27]. - **Coordination Mechanisms**: Multi-agent systems utilize both static and dynamic coordination mechanisms, with dynamic approaches becoming more prevalent in current applications [23][24]. This summary encapsulates the key discussions and insights from the conference call, emphasizing the current state and future potential of AI and multi-agent systems in the industry.