白皮书还就小学生生成式人工智能素养发展提出了前瞻性战略预判与路径探索，包括"精准干预""课 程嵌入""校社协同"等建议，为系统推进区域人工智能教育体系建设指明了方向。 市教育局相关负责人说，作为南京市在人工智能教育领域"先行先试"的又一成果，该白皮书兼具学 术严谨性与实践指导性，既是一份翔实的区域性人工智能教育诊断书，更是一份面向未来的教育行动宣 言。 全国知名教育信息化专家、华东师范大学教授祝智庭认为，这份研究成果将引发更广泛、更深入的 讨论与实践，共同推动我国中小学人工智能教育向着更加科学、更加公平、更高质量的方向迈进，为培 养能够驾驭未来、创造未来的新一代社会主义建设者和接班人奠定坚实的素养根基。 南京的小学生究竟是如何使用生成式人工智能的？生成式人工智能对他们的学习习惯、学习能力究 竟产生了什么样的影响？有了生成式人工智能，是不是小学生就不想自己写作业了？11月18日，《南 京市小学生生成式人工智能素养白皮书》正式发布，书中对这些问题进行了解答，这也是全国首份专门 针对小学生的生成式人工智能素养白皮书，对推动中小学人工智能教育纵深发展具有重要参考价值。 随着生成式人工智能在教育中的广泛应用，人工智能是 ...

Core Insights - The first white paper on generative artificial intelligence literacy for elementary school students in China has been released, focusing on the implications of generative AI on students' cognitive development and learning motivation [1][3] - The white paper is based on empirical research conducted with 8,795 elementary students across 17 schools in 12 districts of Nanjing, highlighting the current state of generative AI application preferences and literacy among students [1][3] Summary by Sections Research Findings - The study reveals issues such as cognitive dependency, weakened learning motivation, and degradation of deep thinking among students due to generative AI [1] - Factors influencing students' literacy include individual characteristics, family support, and school environment, leading to disparities in generative AI literacy [1][3] GenAI Literacy Framework - A GenAI literacy framework is proposed, encompassing dimensions like cognitive understanding, prompt engineering, critical examination, self-regulation, and ethical considerations [3] - The framework emphasizes the role of students as active participants in "human-machine co-creation," expanding the boundaries of information and digital literacy [3] Strategic Recommendations - The white paper suggests strategic predictions and exploratory pathways for the development of GenAI literacy among elementary students, advocating for "precise interventions," "curriculum integration," and "school-community collaboration" [3] - The aim is to transition regional AI education from experience-driven to evidence-driven approaches [3]

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Core Viewpoint - Analysts have downgraded the ratings of Microsoft and Amazon, two of Wall Street's most favored tech stocks, citing unclear prospects for generative artificial intelligence and advising caution regarding large-scale data center operators [1] Company Analysis - Rothschild & Co Redburn's Alexander Haissl has lowered the ratings of Microsoft and Amazon from "Buy" to "Neutral," marking the first downgrade since he began tracking these stocks in June 2022 [1] - Microsoft’s target price has been reduced from $560 to $500, while Amazon's target price remains unchanged at $250 [1] Industry Insights - The report suggests that the economic benefits of generative AI are "far weaker than expected," challenging the narrative that generative AI is akin to the early cloud computing era [1] - Haissl indicates that the profit margin assumptions for generative AI have extended the depreciation cycle to 5 to 6 years, compared to 3 years during the early cloud computing phase, implying a significantly higher capital intensity and weakened pricing power for generative AI [1]

在中关村发展集团相关负责人看来，本次大会以"AI下一个十年：场景驱动×新质引擎"为主题，既是对 国家战略部署的深入落实，更是聚焦人工智能产业赛道，解码"技术突破"向"价值创造"转化的核心密 码，共绘行业未来十年发展蓝图的重要实践。 据了解，作为深耕中关村的创新生态集成服务商，中关村发展集团致力于成为人工智能产业科技成果转 化的"架桥者"与"赋能者"，在算力、算法、数据三大要素平台精准开展"点"式布局，依托股权投资、产 业空间、科技金融、资源链接等创新生态服务构建业务"线"条，持续拓展创新生态集成服务覆盖"面"， 已累计服务人工智能产业上下游企业1400余家，占北京市人工智能企业总数的50%以上。 大会现场，北京市人工智能协会（筹）发起设立。该协会在北京市科委、中关村管委会指导下，由中关 村发展集团作为主发起人之一，联合产业链核心企业、顶尖科研机构及高校共同发起，旨在进一步整合 产业资源、搭建交流平台、推动协同创新，助力北京打造具有全球影响力的人工智能创新策源地和产业 高地。 当前，以大模型、AIGC、生成式人工智能为代表的人工智能技术跃迁式发展，对诸多产业发展方式产 生了质的变革。未来5-10年，人工智能将深 ...

Group 1 - The core viewpoint of the article is that the perception of mass layoffs in Silicon Valley is often one-dimensional, focusing solely on recent events without considering historical context [2][8] - The article highlights that the number of layoffs in the tech industry this year is the lowest in four years, with nearly 110,000 layoffs reported, which is less than half of the layoffs in 2023 [2][4] - It emphasizes that while layoffs are occurring, hiring is also taking place, leading to a stable or increasing employee count in major tech companies like Alphabet, Microsoft, and Netflix [5][7] Group 2 - The article points out that the narrative linking AI to layoffs lacks direct evidence, as layoffs began in 2022, while the release of ChatGPT occurred later that year [8][9] - It argues that the perception of AI causing job losses is a reflection of societal fears rather than a factual basis, with companies like Amazon and Microsoft citing organizational changes rather than AI as reasons for layoffs [9][10] - The article notes that the employment of programmers has been declining for over 20 years, indicating that the reasons for job losses extend beyond the influence of AI [12][13] Group 3 - AI's adoption rate in enterprises is still low, estimated between 10% to 20%, suggesting that it has not yet had a significant direct impact on overall employment [16][18] - The article concludes that while AI may affect certain job segments, its broader implications for economic growth and employment will be profound, necessitating a balanced view of AI's potential and challenges [18][19]

Group 1 - The core viewpoint of the article is that the perception of mass layoffs in Silicon Valley is often one-sided, focusing only on recent events without considering historical context [3][9][10] - The article highlights that layoffs in the tech industry have been ongoing for four years, and the number of layoffs this year is the lowest in that period, being less than half of the layoffs in 2023 [3][5] - It emphasizes that while layoffs are occurring, hiring is also taking place, leading to a stable or even increasing employee count in major tech companies like Alphabet, Microsoft, and Netflix [5][6] Group 2 - The article points out that from the end of 2019 to 2023, major tech companies added over 900,000 jobs, indicating that hiring during the pandemic was significant, with Amazon alone adding 273,000 jobs in the second half of 2021 [7] - It argues that the perception of AI causing layoffs is flawed, as there is no direct evidence linking AI to job losses, and many companies cite other reasons for their layoffs [9][10] - The article discusses the decline in programmer employment over the past 20 years, attributing it to various factors rather than solely to AI, and notes that the UK has seen growth in programming jobs during the same period [13][14] Group 3 - The adoption rate of AI in enterprises is still low, with estimates ranging from 10% to 20%, indicating that AI has not yet had a significant direct impact on overall employment [18][19] - While AI may not currently threaten overall job numbers, its influence on specific job roles is already evident, and the long-term implications of AI on the economy and employment should be taken seriously [20]

正如这名同学所言，生成式人工智能正改变传统的以知识积累和传递为中心的教学模式。大学里，生成 式人工智能工具触手可及，大家的学习方式也在改变。不过，教育不能把最基本的丢掉。人工智能时 代，一些关键的能力素养值得重视。 学生提问：如今，在学习中遇到问题可以问人工智能，写作业也可以用人工智能辅助查询信息。人工智 能时代，学习还重要吗？应注重哪些能力素质的培养？ 系统学习和继承人类知识依然重要。认知是人类智能的重要表现，其基石是规范化的知识。基于规范化 知识，方能形成对学习对象的整体性理解、系统化分类，建立科学的认知框架。解决当前基础科学、工 程技术、人文社科等领域的复杂问题，需要同学们具备宽广、体系化的知识，而这很难仅通过与大语言 模型的交互问答而习得：大模型虽能"写"出优美诗篇，却无法创造语料之外的全新表达，更替代不了沉 浸式阅读等带来的思维沉淀与情感共鸣；若使用不当，还可能陷入"信息茧房"。同学们仍需注重基础知 识的积累与整合，并积极拓宽视野、掌握跨学科的知识和技能。 教育中，被放在重要位置的应该是独立思考和判断能力的培养。教育的目标绝非培养像机器一样思考的 人，而是培养能善用机器以更好地思考、创造、关怀他人的 ...

Core Viewpoint - Hai Liang Co., Ltd. has signed a strategic cooperation agreement with Westlake University to establish the "Advanced Metal Materials and Manufacturing Joint Laboratory," marking a significant step in the integration of industry, academia, and research [1][3]. Group 1: Strategic Partnership - The partnership aims to enhance collaboration between Hai Liang Co., Ltd. and Westlake University, focusing on advanced metal materials and manufacturing [1]. - The unveiling of the joint laboratory was witnessed by key leaders, including Westlake University's President Shi Yigong and Hai Liang's Chairman and President Feng Luming [1]. Group 2: Research Focus - The laboratory will concentrate on cutting-edge areas such as liquid metal technology and copper-based thermal management structures, addressing the thermal management needs of high-growth applications like AI computing chips, data centers, robotics, and new energy vehicles [3]. - The research efforts will be led by Dr. Tang Jianbo's team from Westlake University's School of Engineering, who has previously established a new metal and manufacturing laboratory focusing on liquid metal materials science [3].

Core Insights - Ant Group's chairman, Jing Xiandong, emphasized that generative AI will expand the boundaries of financial services, enabling personalized AI financial assistants for individuals and dedicated CFOs for SMEs [1][2] - The integration of generative AI in financial services will enhance efficiency and promote inclusive finance, with AI playing a significant role in risk management, fraud prevention, and customer experience optimization [1] - Ant Group is actively developing AI solutions to assist SMEs in navigating complex global payment environments, making it easier for them to access global payment capabilities [2] Group 1 - Generative AI will influence all areas of financial services, not just specific segments, due to the data and language-intensive nature of the industry [1] - The rise of payment agents is anticipated, with current capabilities already assisting in purchases and bookings, and future developments expected to involve more complex tasks [1] - Ant Group's AI applications for SMEs are designed to provide operational support, acting as both CFO and COO, and have been well-received in the market [2] Group 2 - Ant Group aims to create an open ecosystem with global partners to further support the development of SMEs through AI [2] - The company believes that AI will be a core engine driving financial inclusion and supporting the growth of SMEs in the future [2]