Group 1: Xiaomi - Xiaomi's founder Lei Jun stated that the past month has been the most challenging period since the company's inception, expressing gratitude for the support received during this time [1] Group 2: SpaceX - SpaceX is preparing for the upcoming launch of Starship Flight 9, with static fire tests being conducted as part of the preparations [3][4] - The U.S. Coast Guard has issued notifications indicating that the launch window for Starship Flight 9 will begin on May 20, with references to May 19 in communications from the FCC [3] Group 3: Alibaba - Internal sources at Alibaba have denied rumors of Jack Ma's return to the company, stating that he has never truly left and that the company is not reverting to a previous organizational structure [4] Group 4: OpenAI - OpenAI's CEO Sam Altman expressed a willingness to reconcile with Elon Musk to focus on the development of Artificial General Intelligence (AGI) [5][7] - OpenAI is reportedly leading in enterprise AI adoption, with 32.4% of U.S. companies subscribing to its AI models as of April, up from 18.9% in January [10] Group 5: Taobao - Taobao has launched a desktop client for Windows, featuring an AI shopping assistant to enhance user experience [11] Group 6: Audi - Audi has introduced a new version of the 2025 Q6 model, the "40TFSI quattro commemorative edition," priced at 467,600 yuan, featuring a 2.0T engine [15] Group 7: Nvidia - Nvidia's first ARM architecture chip, the GB10, has been revealed with a clock speed of 3.9 GHz and is expected to be officially launched at COMPUTEX 2025 [16][17] Group 8: Apple - Apple is reportedly targeting a late 2026 release for its first foldable iPhone, with key components already being tested [18] Group 9: Copyright and AI - Over 400 artists and industry leaders in the UK have called on the government to protect copyright and oppose the use of their works by AI companies without permission [20]

科洛宁还提到，人工智能的飞速发展引发了人们对滥用人工智能和通用人工智能的担忧。一些国家利用 其在人工智能领域的主导地位，对他国进行胁迫，阻挠它们与被视为威胁的国家开展合作。鉴于此，那 些希望建立公平世界秩序的国家需加深彼此间的合作，例如在金砖国家框架下，秉持互惠互利的原则， 共同推动全球科技治理体系的完善。 科洛宁强调，俄罗斯科学界对与中国以及其他志同道合的国家携手，共同推动全球在人工智能和通用人 工智能领域的协调发展与有效治理持开放态度。欢迎其他国家参与俄罗斯AGI社区研讨会等开放活动， 以及数学AI等联合会议，并期待各方逐步完善人工智能技术管理的联合战略。 另据相关报道，由外国顶尖专家组成的"瓦尔代"国际辩论俱乐部（Valdai Discussion Club）项目主任季 莫费·博尔达切夫（Timofei Bordachev）同样指出，人工智能是前沿科技领域，中国和俄罗斯都具备相 应技术和人才，两国可以通过在这一领域的合作，树立起科技合作的典范，并为全球南方国家在科学、 文化和教育领域的解放贡献力量。这不仅将为两国开辟全新的合作领域，还将切实推动南南合作，这对 于构建一个更加平衡、公正的世界秩序至关重要。 ...

Group 1: Founder Psychology and Roles - Eric Schmidt emphasizes the difference between founders and professional managers, stating that founders are visionaries while professional managers are "amplifiers" who help scale ideas [4][10] - Schmidt reflects on his experience at Google, noting that he was not a typical entrepreneur but rather a professional manager who contributed during the company's scaling phase [3][4] - He discusses the challenges of attracting talent, highlighting that many talented individuals often choose to start their own companies instead of joining established firms [3][5] Group 2: Market Dynamics and Startup Ecosystem - Schmidt points out that many startups are often acquired for their talent rather than their products, indicating a market structure that can be inefficient [6][7] - He notes that the majority of startups fail, with traditional venture capital experiences suggesting that 4 out of 10 will fail completely, and 5 will become "zombies" with no growth potential [7] - The conversation highlights the importance of competition for startups, suggesting that true leadership is demonstrated when facing challenges from larger companies [11][12] Group 3: AI and Future Trends - Schmidt believes that AI is currently underestimated rather than overhyped, citing the scaling laws that drive AI advancements [33][34] - He discusses the potential of AI to transform business processes and scientific breakthroughs, emphasizing the importance of understanding how humans will coexist with advanced AI systems [35][39] - The conversation touches on the competitive landscape between the U.S. and China in AI development, with China investing heavily in AI as a national strategy [41][42] Group 4: Talent Acquisition and Management - Schmidt stresses the importance of attracting top talent by creating an environment where individuals feel they are solving significant problems [18][20] - He differentiates between "rockstar" employees who drive change and "mediocre" employees who are self-serving, advocating for the retention of the former [21][22] - The discussion includes insights on how to identify and nurture high-potential talent within organizations [24][25] Group 5: Challenges in AI Development - Schmidt highlights the challenges of defining reward functions in reinforcement learning, which is crucial for AI's self-learning capabilities [51] - He warns about the potential pitfalls of over-investing in AI infrastructure without a clear path to profitability, suggesting that many companies may face economic traps [47][48] - The conversation concludes with a call for companies to focus on the most challenging problems in AI, as solving these will yield the most significant rewards [52][53]

Core Viewpoint - China's foreign trade has shown resilience and growth despite the challenges posed by the US tariff war, with significant increases in both exports and imports in the first four months of the year [1][19]. Group 1: Trade Data Overview - In April, China's total goods trade reached 3.84 trillion yuan, growing by 5.6%, with exports at 2.27 trillion yuan (up 9.3%) and imports at 1.57 trillion yuan (up 0.8%) [1]. - The overall foreign trade growth for the first four months was 2.4%, marking the second-highest level for the same period historically [1]. Group 2: Factors Driving Growth - High-tech products have been a significant driver of export growth, with exports of high-tech products reaching 1.52 trillion yuan, an increase of 7.4%, accounting for 18.1% of total exports [9][20]. - The diversification of markets has helped mitigate the impact of tariffs, with exports to the US dropping below 15% of total exports, while emerging markets contributed over 60% of the growth [19][20]. Group 3: Industry Innovations and Developments - Companies are leveraging advanced technologies, such as smart home products and automation, to enhance production efficiency and open new markets [3][12]. - The marine engineering and shipbuilding sectors have seen substantial growth, with exports from Shandong province exceeding 16 billion yuan, reflecting a shift towards a more integrated industrial ecosystem [11]. Group 4: Role of Private Enterprises - Private enterprises have emerged as a crucial force in sustaining foreign trade growth, with their exports accounting for 56.9% of total trade, growing by 6.8% in the first four months [18][20]. - The innovation capabilities of these enterprises have been bolstered by high tariffs, prompting accelerated research and development efforts [20].

AI代理的概念及其在金融领域的发展 －应用于财富管理的潜力－ 作者：野村资本市场研究所 坂上 聖奈 要点 1. 随着大型语言模型在自然语言处理领域取得显著突破，AI代理受到了广发关注。例如，摩根 士丹利在2025年至2027年中长期经营计划中指出，AI代理的潜力是其技术战略的一个重点领域。 2. 简而言之，AI代理就是一种能够自主决策的AI模型。本文以穆迪和Coinbase为例，介绍AI代 理的应用。尽管两家公司根据其业务战略对AI代理的应用采取了不同的方式，但在增强AI自主性方 面却有着共通之处。 3. 穆迪将AI代理视为强化现有服务的工具，通过数据驱动的决策效率来提升客户体验。另一方 面，Coinbase则将AI代理定位为区块链交易的手段，旨在通过交易的自动化和自主化来提升客户体 验，甚至改变经济活动的性质。 4. 随着客户需求的多样化、依赖特定人员的业务流程优化、以及降低人力和成本等因素的驱使 下，金融机构对AI代理的需求在不断扩大。在财富管理业务中，AI代理的应用也被认为是一个重要 的候选方向。具体包括：（1）为客户提供最佳投资建议以实现特定的财务目标；（2）提升托管服 务水平；（3）扩大数字资产交易 ...

Core Insights - The AI industry is at a critical juncture, facing challenges in scaling applications despite advancements in generative AI technology [1] - Lenovo's CEO Yang Yuanqing has articulated a vision for AI that focuses on a "super intelligent agent" model to facilitate large-scale application deployment [2][3] Group 1: AI Application and Development - The "super intelligent agent" represents an evolution in AI applications, characterized by cross-device perception, multi-modal interaction, and autonomous task decomposition [2] - Lenovo aims to transition from being perceived solely as a hardware vendor to an AI service provider, integrating AI across all business operations [3][6] Group 2: Features and Capabilities of Super Intelligent Agents - The super intelligent agent is designed to move beyond passive assistance, enabling proactive service based on user intent, such as planning a family trip by coordinating various tasks [4] - In enterprise scenarios, Lenovo's super intelligent agent has been integrated into its operations, showcasing capabilities across multiple domains like supply chain and customer service [4] Group 3: AI Infrastructure and Security - Lenovo has developed a "Lenovo Inference Acceleration Engine" to enhance local inference capabilities on PCs, making them comparable to cloud models [4] - Data security and privacy protection are fundamental to the super intelligent agent's functionality, with measures in place to counter threats like Deepfake attacks [5] Group 4: Market Position and Strategy - Lenovo's AI transformation reflects a broader trend among hardware manufacturers to leverage their extensive device ecosystems for AI opportunities [6] - The company has established a global manufacturing system with 33 factories across 10 countries, allowing for rapid adjustments to market changes and tariff impacts [7][8]

21世纪经济报道记者孔海丽 北京报道 六年试错，技术理想主义正在试图寻回现实土壤。 北京时间5月8日，OpenAI宣布重大人事调整，话事人塞姆·奥特曼（Sam·Altman）将应用业务的CEO权 杖转交给菲吉·西莫（Fidji Simo），他自己则把更多精力投入到研究、算力和安全等核心技术领域。 就在2天之前，OpenAI摇摆许久的公司架构，也终于明朗化，终止之前转向营利性公司的计划，而是引 入PBC（公益公司）控制模式，仍由非营利实体掌控核心治理权。 在经历商业化与理想主义的激烈博弈后，这家以"确保AGI造福全人类"为使命的明星AI公司，似乎找到 了新的平衡点，愿景得以与商业化并存，回归创业初心。 非营利初心重新觉醒 根据声明，OpenAI原本为应对资金黑洞而设立的营利性有限责任公司（LLC）将转变成PBC，PBC由非 营利组织控制，即形成"非营利组织-PBC"的架构，非营利组织保留绝对控制权。 在OpenAI之前，Anthropic、X.ai等其他明星AI公司以及Patagonia等许多目标驱动型公司已经采纳了PBC 架构。OpenAI认为，这对他们也很有意义，既避免了完全商业化带来的伦理风险，也能够通过 ...

每经记者｜陈婷 每经实习编辑｜余婷婷 5月9日，第九个中国品牌日前夕，由每日经济新闻主办、清华大学经济管理学院中国企业研究中心提供学术支持的"2025第九届中国上市公司品牌价值榜发 布会"（以下简称"发布会"）将在上海举行。本次活动的主题为"数智升维 品牌共振"，希望在当下的数智发展变革中，寻求企业向新创变的品牌升维路径。 在时代的浪潮中，中国经济稳健转型，城市建设从增量时代迈入存量优化阶段。奥雅股份自1999年创立以来便踏上深耕设计领域的征程。面对新时代的无限 机遇，奥雅股份主动谋变，以创意设计为驱动力，运营管理为战略导向，数字科技为创新引擎，不断探索空间的无限潜能。奥雅股份开启从设计到多元生态 的进化之路，于2021年正式上市。 时至今日，奥雅股份已从单一的设计企业成功转型为轻资产文旅开发运营企业，业务涵盖创新设计、洛嘉儿童（设计及产品）、文旅开发运营、AGI（通用 人工智能）与数字艺术等。在本次发布会上，奥雅股份联合创始人、总裁李方悦将围绕新文旅时代的品牌赋能和创意驱动进行分享。 在此模式驱动下，凭借自有算力、自研算法及二十余年行业数据积累，奥雅推出城市文旅焕新大模型，以智能算法精准剖析存量资产问题，结 ...

5月8日，在海淀大恒科技中心的阶跃星辰北京办公地，阶跃星辰创始人、CEO姜大昕身着深色西服、蓝 色衬衫出现在阶跃星辰北京办公地的会议室里。他保持了一贯的风格，如二十一年前在新加坡南洋理工 教书时，像老师一样在屏幕前平静地讲述自己对于多模态模型行业的判断。这里距离姜大昕上一个东家 微软的中国办公地微软大厦仅有504米，在2023年创立阶跃星辰前，姜大昕是微软全球副总裁。 "多模态模型领域目前还没有出现GPT-4时刻。卡点是整个行业缺少多模态领域的理解生成一体化架 构。有了这个架构，才能基于此通过海量的图片视频去做预训练+指令跟随，最终演变为世界模 型。"姜大昕说。 "理解生成一体化架构"不只是姜大昕的技术判断，也正在影响这家公司的走向。 虎嗅独家获悉，近期阶跃星辰内部，进行了算法小组内的微调：原本阶跃星辰内部团队分为生成小组和 理解小组，而这两个小组已经整合为新的"生成理解"团队。 姜大昕向虎嗅表示，这一调整，确实是基于"理解生成一体化架构至关重要"这个判断。 虎嗅获悉，目前阶跃星辰的运转以三个男人为核心： 姜大昕 阶跃星辰创始人、CEO 负责公司整体战略、技术研发 张祥雨 阶跃星辰首席科学家 负责公司技术研发 ...

Core Viewpoint - OpenAI is undergoing a structural change to maintain control by its non-profit organization while transitioning its for-profit entity into a Public Benefit Corporation (PBC), emphasizing its mission to benefit humanity through artificial intelligence [4][10][15]. Group 1: Structural Changes - OpenAI's for-profit entity will transform into a PBC, with the non-profit organization retaining significant ownership and control [4][15]. - The previous plan to separate the non-profit and for-profit entities has failed, leading to a re-emphasis on the non-profit's control over OpenAI [4][5]. - The non-profit organization aims to ensure that the PBC operates in alignment with its mission, which includes providing AI benefits to a broad audience [16][17]. Group 2: Financial Context - OpenAI completed a $40 billion private funding round, achieving a valuation of $300 billion, with a condition to restructure into a for-profit company by the end of the year [5][6]. - Microsoft, a major investor with $13.75 billion invested, is a significant player in the restructuring discussions, seeking to protect its interests [6][10]. - OpenAI plans to reduce the revenue-sharing percentage with Microsoft from 20% to 10% by 2030, indicating a shift in financial strategy [6][10]. Group 3: Industry Pressures - OpenAI's commercialization efforts have faced legal challenges and opposition from figures like Elon Musk and other industry stakeholders [5][10]. - The restructuring has been met with academic pressure, as notable figures in AI have called for a halt to the transition plans [5][10]. - The company is navigating complex dynamics between maintaining its mission and addressing investor expectations and regulatory requirements [10][16]. Group 4: Mission and Vision - OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity, with a focus on democratizing access to AI tools [12][13]. - The organization aims to provide powerful AI tools while ensuring that their development aligns with ethical considerations and societal benefits [12][14]. - OpenAI envisions a future where its AI capabilities can significantly enhance productivity and address global challenges across various sectors [14][17].