上海市新增5款已完成登记的生成式人工智能服务 智通财经5月13日电，上海市新增5款已完成登记的生成式人工智能服务，累计已完成85款生成式人工智 能服务登记。 ...

Group 1 - The core viewpoint of the news is that the Shanghai State-owned Assets Supervision and Administration Commission and the Shanghai Stock Exchange held a performance briefing for state-controlled listed companies, focusing on their operational performance and future strategic planning [1] - DataPort's President emphasized the importance of maintaining strategic determination and practical execution for sustainable development, aligning with national digital economy strategies and state-owned enterprise reforms [1] - DataPort's management highlighted significant improvements in operational performance, management quality, and operational efficiency for 2024, driven by the implementation of intelligent management platforms [1] Group 2 - In response to being recognized as a "Double Hundred Enterprise," DataPort plans to propose multiple reform measures focusing on strategic customer foundations and innovative development solutions [2] - DataPort's financial director stated that the company prioritizes shareholder returns and will implement a profit distribution policy in accordance with relevant regulations [2] - The company aims to deepen its integration into the national digital economy strategy, capitalizing on the growing demand for data centers driven by the rise of generative artificial intelligence [2]

Core Insights - The "2025 China Listed Companies Brand Value List" was successfully held in Shanghai, where Shenzhou Digital was awarded the "2025 Annual Private Leading Brand" for its brand influence in the digitalization field [1] Group 1: Event Overview - The event was organized by the Daily Economic News and supported by Tsinghua University's Economic Management School, focusing on the theme "Digital Intelligence Upgrade, Brand Resonance" to explore brand evolution paths driven by technology [3] - The importance of brand building as a key element for companies to establish core competitiveness and seek long-term development was emphasized in the context of a rapidly changing global business landscape [3] Group 2: Company Strategy and Innovations - Since its establishment in 2000, Shenzhou Digital has adhered to the mission of "Digital China," focusing on leading ideas, technology, and practices to promote industrial digital transformation [3] - The company has developed a full-stack AI capability under the guidance of its AI-driven cloud integration strategy, integrating AI technology with cloud-native and digital-native approaches [3] Group 3: Product Offerings and Market Response - Shenzhou Digital's KunTai series of AI intelligent computing servers, based on Kunpeng and Ascend processors, are designed for deep learning, model development, and AI training services, featuring high computing density and energy efficiency [4] - The company launched the KunTai Cube "all-in-one toolbox" and the DeepSeek version of the KunTai integrated machine to support private deployment and provide cost-effective intelligent upgrade solutions [4] - Shenzhou Digital secured an 800 million yuan order for server procurement from China Telecom for the 2024-2025 period, contributing to the construction of a domestic computing foundation for operators [4] Group 4: Future Directions - Shenzhou Digital aims to continue deepening its focus on digital transformation, leveraging its full-stack AI capabilities to create greater value for clients and help more enterprises build core competitiveness for the future [5]

最终，开福区法院判决网络公司立即停止传播某电视剧内容，赔偿原告经济损失及合理支出80万 元，二审维持原判。 来源：人民法院报 对此，被告某网络公司辩称，其提供的是剪辑工具，是技术服务提供者，用户对素材有删除、排序 的绝对控制权。被告某网络公司仅是根据用户输入的内容进行全网搜索后提供给用户，因而，用户在使 用该软件进行视频剪辑时，被告某网络公司仅提供技术服务，系中立的工具属性，不构成侵权。 法院审理认为，当前生成式人工智能技术发展迅速，但尚无专门法律条文明确规范其服务提供者的 权利义务。因此，为合理界定生成式人工智能服务提供者的法律地位，仍应依据《中华人民共和国民法 典》第一千一百六十五条之规定，以"过错责任"为基础界定责任。若仅因用户生成侵权内容就认定服务 提供者侵权，则可能对其施加过重义务。为平衡知识产权人与服务提供者的利益，需重点判断服务提供 者在内容生成阶段是否存在过错，综合考虑技术发展阶段、行业共识及技术可行性，判断其是否已建立 合理的知识产权侵权风险防范体系。 法院认为，首先，本案中被告公司没有获得权利人的授权，就通过某软件的AI功能，向用户提供 了3秒至7秒的该剧片段，涉案作品素材片段属于视听作品 ...

原标题：防范学生过度依赖生成式人工智能 《使用指南》明确了五大应用原则。一是坚持育人导向，强化素养本位。引导学生在生成式人工智 能技术使用过程中形成适应智能时代发展的价值观、必备品格和关键能力。二是坚持教育公平，尊重学 生差异。确保技术工具平等地惠及不同地区和个体，无障碍地服务有身体或认知障碍的特殊需求群体。 三是坚持价值引领，确保技术向善。营造健康有序、向上向善的人工智能教育生态。四是坚持需求驱 动，持续稳步推进。结合学校实际，有目的、有计划、有组织地选择、匹配与应用生成式人工智能技术 工具。五是坚持底线思维，保障安全可控。构建覆盖数据安全、伦理审查、内容监管和风险防控的全链 条保障机制，筑牢生成式人工智能技术在教育领域应用的安全底线。 为防范学生因过度依赖生成式人工智能而弱化独立思考能力，《使用指南》从制度规范、教学引导 与角色定位等维度建立系统性防范机制。一方面，明确禁止学生直接复制人工智能生成内容作为作业或 考试答案，并限制在创造性任务中滥用人工智能，从源头上杜绝"代劳式"使用行为。另一方面，强化教 师的引导职责，要求教师在教学实践中积极开展批判性思维训练，培养学生对技术输出内容的质疑精神 与甄别能力 ...

南都讯记者吕虹发自北京12日，南都记者从教育部获悉，《中小学人工智能通识教育指南(2025年版)》 和《中小学生成式人工智能使用指南(2025年版)》(以下简称《使用指南》)正式发布。其中，《使用指 南》明确，禁止学生直接复制人工智能生成内容作为作业或考试答案，并禁止小学阶段学生独自使用开 放式内容生成功能。同时该指南强调，教师不得将生成式人工智能作为替代性教学主体。 据教育部相关负责人介绍，此次施行的两项指南是科学规范推进人工智能全学段教育、进一步落实培养 具有人工智能素养的创新人才的重要举措。《使用指南》重点围绕生成式人工智能在中小学教育中的应 用场景，明确各学段使用规范，确保技术安全、合理、以有效地辅助教学、促进学生个性化学习、推动 教育管理智能化。而《中小学人工智能通识教育指南(2025年版)》则旨在构建一套科学完备的人工智能 通识教育体系，通过螺旋式课程设计以及"课程重构、资源融通、评价创新、师资赋能"的联动机制，推 动人工智能教育从局部试点转向全域覆盖。 南都记者了解到，《使用指南》明确了AIGC在中小学教育中的三大类核心应用场景，即促进学生成 长、辅助教师教学和支撑教育管理。 针对《使用指南》提 ...

Macro Insights - China continues to impose export controls on rare earths, which raises concerns about supply shortages in the U.S. as over 90% of rare earths require processing in China [2][25] - The Chinese government has initiated a special action against the smuggling and export of strategic minerals, including heavy rare earths [25] Company Updates - Xiaomi faces a significant trust crisis following a fatal accident involving its vehicles and allegations of misleading marketing practices, with CEO Lei Jun acknowledging the company's most challenging period [13] - Zhang Haochuan resigned as Vice President of China Merchants Securities for personal reasons, effective May 12 [12] - CEG liquidators have requested the Hong Kong High Court to withdraw the transfer of shares, indicating ongoing legal complexities for China Evergrande [7] - Shanghai Shimao Construction reported significant litigation and overdue debt issues, with over 6.4 billion yuan in unpaid bond principal and interest [8] - Jin Hong Holdings announced a net loss of 210 million yuan for 2024, exceeding 10% of its net assets at the end of the previous year [9] - Qujiang Culture Holdings reported a net loss of 5.811 billion yuan for 2024, attributed to declining gross profit and increased interest expenses [10] Financial Sector Updates - Regulatory authorities have mandated improvements in the internal control systems of brokerage firms to enhance operational standards in investment banking [21] - Fitch Ratings maintained Shenzhen International's credit rating at BBB but downgraded its outlook to negative [5] - Moody's downgraded AVIC Capital's credit rating from A3 to Baa2 [6] International Developments - U.S. President Trump signed an executive order requiring pharmaceutical companies to lower drug prices, aiming for reductions between 59% and 90% [16] - Morgan Stanley's strategist warned that the U.S. stock market is not yet secure, citing the need for further economic indicators to support a sustained rebound [16] - Nissan plans to cut over 10,000 jobs globally as part of its restructuring efforts, adding to previously announced layoffs [18]

Core Viewpoint - The People's Bank of China, along with several regulatory bodies, has issued a set of 30 key measures aimed at enhancing financial support for the Guangzhou Nansha area, promoting its role in the Guangdong-Hong Kong-Macao Greater Bay Area's development and modernization efforts [1][2][3] Group 1: Financial Services Enhancement - The measures include improving financial services for innovation and entrepreneurship, supporting the construction of technology innovation industry cooperation bases, and encouraging financial institutions to innovate financial products like bill discounting [1] - There is a focus on expanding financial services for social welfare, including the trial of video-based credit card applications and cross-border cooperation among credit institutions [2] Group 2: Development of Specialized Financial Services - The initiative encourages the Guangzhou Futures Exchange to explore electricity futures and enhance the renewable energy futures product system [2] - It supports the development of generative artificial intelligence models for financial applications, including smart credit, investment, and risk control services [2] Group 3: Financial Market Connectivity - The measures promote the use of free trade accounts and other mechanisms to provide comprehensive financial services to foreign institutions [2] - There is encouragement for cross-border cooperation in futures products between the Guangzhou Futures Exchange and the Hong Kong Stock Exchange [2] Group 4: Cross-Border Financial Innovation - The initiative aims to attract diverse investment institutions such as sovereign wealth funds and venture capital firms to the region [2] - It supports qualified Hong Kong and Macao investors in establishing securities and fund companies in mainland China [2] Group 5: Financial Regulatory Mechanism - The measures emphasize the need for coordinated regulatory efforts between central and local authorities, ensuring compliance with unified financial management rules [3] - There is a focus on creating an innovative financial regulatory mechanism tailored to the needs of Nansha's development [3] Group 6: Supportive Measures - The initiative includes policies to support housing, talent, and education, facilitating the development of an international talent zone in Nansha [3] - It aims to create favorable conditions for domestic and foreign professionals in the financial sector to work in Nansha [3]

Core Viewpoint - The recent release of the "Guidelines for Artificial Intelligence General Education in Primary and Secondary Schools (2025 Edition)" and "Guidelines for Students' Use of Generative Artificial Intelligence (2025 Edition)" by the Ministry of Education aims to enhance AI literacy among students and promote the integration of AI into education [1][4]. Group 1: AI General Education Framework - The guidelines propose a layered and spiral approach to AI education, focusing on cultivating core competencies for adapting to an intelligent society [3][4]. - The educational framework emphasizes the integration of knowledge, skills, thinking, and values, forming a comprehensive AI literacy that includes technological innovation thinking, critical thinking, human-machine collaboration, and social responsibility awareness [3][4]. - Specific educational goals are set for different school stages: elementary education focuses on interest and basic recognition, middle school emphasizes understanding technical principles and practical applications, and high school concentrates on systematic thinking and innovative practices [3][4]. Group 2: Integration with Daily Teaching - The guidelines aim for deep integration of AI education with daily teaching through systematic implementation paths, including curriculum development, innovative teaching models, and practical activity integration [4]. - The significance of these guidelines is highlighted as a response to the global technological development trend and the urgent need for cultivating innovative talents for the future [4]. Group 3: Responsible Use of AI - The "Usage Guidelines" stress the importance of preventing students from over-relying on technology, particularly in the context of generative AI applications [6][7]. - The guidelines outline a systematic prevention mechanism to avoid diminishing students' independent thinking abilities, including prohibiting direct copying of AI-generated content for assignments and exams [7]. - Teachers are encouraged to guide students in critical thinking training, analyzing the logical flaws and biases in AI-generated content to enhance their ability to process information independently [7].

本文由中国科学院计算技术研究所研究团队完成，第一作者为硕士生杨晗，通讯作者为副研究员安竹林，助理研究员杨传广。 论文标题：Multi-party Collaborative Attention Control for Image Customization 论文地址：https://arxiv.org/abs/2505.01428 论文代码：https://github.com/yanghan-yh/MCA-Ctrl 背景 近年来，生成式人工智能（Generative AI）技术的突破性进展，特别是文本到图像 T2I 生成模型的快速发展，已经使 AI 系统能够根据用户输入的文本提示 （prompt）生成高度逼真的图像。从早期的 DALL・E 到 Stable Diffusion、Midjourney 等模型，这一领域的技术迭代呈现出加速发展的态势。 在基础 T2I 模型能力不断提升的背景下，图像定制化（Image Customization）需求日益凸显。所谓图像定制化，是指在对参考图像中的主体（subject）保持身份特 征和本质属性的前提下，根据文本或视觉条件生成该主体的新表现形式。这一技术对于电子商务（ ...