这种力量的渗透是全方位的——从英伟达那枚驱动全球算力的GPU芯片，到OpenAI、xAI实验室里的核心算法，再到Meta近期动辄数十亿美金的并购案。 华人正在以一种极其坚韧且难以替代的姿态，接管着这场技术革命的解释权。 消失的国界，与被中文占领的帕罗奥图 当你在这个潮湿的1月走进帕罗奥图大学大道的某家蓝瓶咖啡馆，你很难相信自己正处于美国AI的心脏地带。空气里飘荡着不仅仅是深度烘焙的豆香，还 有极高频率出现的"分词"、"对齐"和"强化学习"。如果你足够敏锐，你会发现那些围坐在MacBook前、神色凝重地讨论着逻辑推理模型缺陷的年轻人，绝 大多数都在使用中文。 这种现象在2026年的今天已经不再是新闻，而是一种令人心惊的常态。当人们在社交媒体上惊叹于OpenAI新发布的推理模型如何颠覆人类认知，或者 Meta的通用智能体如何接管了复杂的办公流时，只要你翻开这些项目背后的技术白皮书，那一张张亚裔面孔和那一串串拼音名字，会清晰地告诉你一个 事实： 美国引以为傲的AI霸权，其最底层的逻辑架构、最核心的工程实现，很大程度上是由一群华人精英在深夜的灯火中敲出来的。 在2026年初的硅谷，帕罗奥图的冬雨并未能浇灭这片土地近乎 ...

监管动作背后更深层的逻辑在于政策导向的纠偏。 对外经济贸易大学国际经贸学院国际贸易系教授崔凡认为，这是一场在复杂地缘政治背景下特殊的商业 交易。 虽然收购标的位于中国境外，但关键问题是过程中是否存在中国法律法规禁止或限制出口的技术未经许 可出口，即在现行《技术进出口管理条例》下，中国监管者需要考察的主要不是Manus在新加坡或开曼 群岛的实体拥有的技术向美国实体转移的问题，而是在什么时候以什么方式，Manus在中国境内的实体 ——包括自然人和法人，将什么技术向境外转移的问题。 在技术出口管制方面，主要依据《中华人民共和国技术进出口管理条例》和不断更新的《中国禁止出口 限制出口技术目录》。该目录将技术分成三类：禁止出口、限制出口（需要许可证）和自由出口。 从法律层面来看，德恒律师事务所合伙人刘安邦对第一财经记者分析称，关键是要看Manus的核心AI技 术是否属于这个目录，特别是2025年7月修订版中关于"信息处理技术"的控制要点。技术出口方面风险 在于在中国研发的核心技术（比如AI智能体组件、算法），如果没有拿到出口许可证，是否通过人员 调动、代码共享或业务迁移等方式，实际上把限制或禁止类技术交给了境外的公司（ ...

21世纪经济报道记者冉黎黎 北京报道 1月7日，中国互联网协会在北京召开2026（第十六届）中国互联网产业年会。 工业和信息化部信息通信管理局副局长谌凯在会上表示，建议推动智能终端"万物智联"，培育智能产品生态，大力发展智能网 联汽车、人工智能手机和电脑等新一代智能终端，探索推进智能体互联网建设，打造一体化全场景覆盖的智能交互环境。 谌凯表示，互联网是现代化建设全局中的基础性、先导性、战略性行业，要适应形势变化，把握战略重点，抢抓人工智能发展 浪潮。 会上，裴玮发布了"2025年影响中国互联网行业发展的十件大事"。其中提到，2025年，国产智能体产品形态逐步丰富完善，赋 能多领域精准破局。在通用智能体方面，面向网质交互、信息挖掘等通用任务，通用智能体产品可以获得比单一模型更好的性 能表现；在专用智能体方面，专用智能体通过强化专业适配能力，在工业制造、财务金融、医疗健康等领域实现落地应用；在 智能体平台方面，头部AI企业纷纷推出智能体开发平台，有效降低智能体研发和应用门槛。此外，"智能体互联网"在架构、关 键技术等方面逐渐明晰。 三是深入实施"人工智能+"行动，深化人工智能与工业互联网的融合应用，培育覆盖更广、 ...

Core Viewpoint - The competition for the title of "first stock of large models" is intensifying, with companies like MiniMax and Zhiyuan at the forefront, despite a general decline in the hype surrounding large model startups [5][6][12]. Group 1: Company Developments - MiniMax is reportedly preparing for an IPO, with recent financing of nearly $300 million, leading to a post-money valuation exceeding $4 billion (approximately 287 billion RMB) [8][27]. - The founder of MiniMax, Yan Junjie, has gained significant attention, recently speaking at the WAIC and being seen as a key figure in the industry [7][9]. - MiniMax has launched several products and models, including the MiniMax-M1 and Hailuo series, indicating a strong focus on product development ahead of its IPO [26][25]. Group 2: Competitive Landscape - The competition for the "first stock" is primarily between MiniMax and Zhiyuan, both of which have met the three-year operational requirement for IPO eligibility [12][14]. - Zhiyuan has already initiated its IPO process, while MiniMax is also preparing for a potential listing, with both companies eyeing the same market [12][13]. - The urgency for an IPO is driven by the need to secure market position and capitalize on the high valuation potential associated with being the first in the sector [16][17]. Group 3: Market Context - The large model sector is experiencing a rapid deflation of valuations, prompting companies to seek IPOs to secure funding and market presence [17][20]. - Historical context shows that being the first to list can lead to significant market advantages, as seen with previous AI companies [19][20]. - The current environment suggests that only a few large model companies will successfully go public, with intense competition for limited opportunities [20][21].

Core Insights - Beijing has introduced the "Beijing Artificial Intelligence Empowering New Industrialization Action Plan (2025)" with 16 policies aimed at addressing various challenges in AI-enabled industrialization through measures such as "first-use free" support and over 10 million yuan in computing power subsidies [1] Group 1: Data Supply and Model Development - The plan focuses on enhancing high-quality industry data supply capabilities, encouraging enterprises to accelerate industrial data collection, aggregation, cleaning, and labeling to form high-quality industrial datasets [2] - Enterprises are encouraged to utilize the AI data sandbox system, with "first-use free" support policies to allow industrial data to participate in model training, creating a robust data supply capability [2] - The plan supports the development and deployment of industry-specific large models, offering computing power subsidies of up to 30 million yuan based on model API call volume, number of serviced enterprises, and authoritative benchmark test rankings [2] Group 2: Simulation and Intelligent Manufacturing - Beijing aims to enhance model application service capabilities, supporting enterprises in building industry simulation verification platforms for manufacturing processes, with funding of up to 50 million yuan for platforms that demonstrate industry-wide applicability [3] - The initiative supports the construction of model safety testing grounds and provides up to 30 million yuan for influential safety assurance platforms [3] - The plan promotes the application of AI large models to improve the R&D design level of equipment and supports the establishment of intelligent product pilot platforms and flexible production lines, with rewards of up to 30 million yuan for creating intelligent factory demonstration benchmarks [3] Group 3: Talent Development - The plan emphasizes the enhancement of compound talent supply, reinforcing talent training and technical consulting services [4] - Support is provided for establishing a tiered curriculum system for "AI + Industry" and for companies to build training bases for AI integration application training [4]

软信业已成为上海服务业高质量发展的重要支撑，是构筑未来发展优势的重要力量。 7月7日，记者从上海市经信委召开的新闻通气会上获悉，《上海市促进软件和信息服务业高质量发展的若干措施》近日正式发布（下称《若干措 施》）。 潘洁 摄 梯度奖补助激活企业活力 今年1月至5月，上海软信业营收总规模超6900亿元，同比增长20.4%，高于全国14.3%的平均增速。 从各区看，上海15个区软信业营收同比实现正增长。杨浦、普陀等中心城区同比增速达到25%、22.6%，郊区中，金山、松江、青浦、奉贤等四区实现 高速发展，增速分别达到646.9%、45.5%、38.9%和47.4%。 《若干措施》在激发上海软信业经营主体发展活力、支持人工智能赋能软信业提质升级、完善软信业新动能培育的支持政策、切实推动软信业企业降本 减负四方面提出17条具体举措。 记者从通气会获悉，上海软信业企业数量超1.6万家，其中规上企业数量超3200家。 《若干措施》围绕企业不同发展阶段，建立梯度式企业奖补机制，对高营收、高成长的软信业企业给予可预期、达标即享的资金奖励，主要有3项具体 举措：一是对优质企业，鼓励各区对区域内全年营收超20亿元且增速超全市平均 ...

Core Viewpoint - Beijing is set to support general artificial intelligence (AI) operational services with a maximum funding of 30 million yuan to accelerate the development of a globally influential AI innovation hub and industrial base [1][2] Group 1: Support for Innovation - Beijing will implement multiple measures to support significant original innovations, including enhancing the innovation mechanisms of new research institutions like the Zhiyuan Institute [1] - The focus will be on forward-looking fields such as embodied intelligence, AI in life sciences, and AI for science, while also strengthening technological reserves for future industrial development [1] Group 2: Financial Support and Development - The city will provide up to 30 million yuan in support for general AI operational services that significantly enhance manufacturing efficiency and optimize production management [2] - There will be a push for integrated development of data and applications, promoting collaborative efforts across departments and regions to deploy large model products [2] Group 3: Talent and Environment - Efforts will be made to cultivate young talent in the AI field through national-level AI academies, aiming to establish a talent hub [2] - The technology finance service system will be improved, with increased direct investment from municipal and district-level AI industry funds to support enterprise growth [2] Group 4: International Collaboration - Beijing aims to enhance its international influence in AI by building a global "open-source capital," fostering international dialogue on AI safety and research cooperation [2] - The goal is to establish a global consensus on AI safety and governance, contributing to the realization of a shared future for humanity [2] Group 5: Industry Growth - By 2024, the number of AI enterprises in Beijing is expected to exceed 2,400, with a core industry scale nearing 350 billion yuan, representing half of the national totals in both enterprise count and industry scale [2]

智通财经4月8日电，北京市经济和信息化局印发《北京市关于支持信息软件企业加强人工智能应用服务 能力行动方案（2025年）》，深化北京市通用人工智能产业创新合作伙伴机制，组织信息软件企业、大 模型厂商与金融、能源、交通、安防、教育、医疗等行业龙头用户结成伙伴，合作形成行业大模型落地 的标杆示范典型案例，通过"首方案"支持，对解决方案中非硬件部分采购额给予最高不超过3000万元奖 励。支持创新主体开发跨领域、多任务、自规划的通用智能体，对已取得生成式人工智能产品服务上线 批号、首次在各类应用商店上架的通用智能体，优先协调算力保障，并对运营服务中调用算力和模型成 本给予最高不超过3000万元支持。举办"创客北京"AI智能体专题赛，对获奖产品给予资金奖励，并向市 区两级政府产业投资引导基金重点推荐。推动北京市数字经济标准化技术委员会启动大模型上下文协 议、多智能体协议框架等标准草案制定，为智能体在异构系统环境中的零障碍部署提供标准指导。 北京：推动信息软件企业发展行业模型能力 支持通用智能体发展 ...