消息人士称，微软计划在未来6至12个月内，将Anthropic的Claude系列大模型嵌入Word、Excel、 Outlook和PowerPoint等应用的智能功能中，例如文档自动生成、数据分析预测、邮件智能回复及演示文 稿设计优化等场景。此前，这些功能主要依赖OpenAI的GPT-4及后续模型提供支持。 来源：环球网 【环球网科技综合报道】9月10日消息，据外媒The information报道，知情人士透露，微软正计划在其 核心办公软件套件Office 365中深度整合Anthropic的AI技术，与现有OpenAI技术形成"双引擎"驱动。这 一举措标志着微软自2019年以来对OpenAI的独家技术依赖正式松动。 值得注意的是，就在本月初，OpenAI悄然上线OpenAI Jobs招聘平台，允许企业直接发布职位并利用AI 匹配候选人，功能与微软旗下领英（LinkedIn）高度重叠。尽管该平台目前仅限部分企业测试，但已引 发领英母公司微软的高度警惕。 微软的AI战略调整也早有预兆。2024年初，公司CEO萨提亚·纳德拉（Satya Nadella）在内部会议中强 调："未来三年，微软将构建'最开放的AI生 ...

最新一轮融资落地后，全球前三大AI独角兽分别是字节跳动、OpenAI和Anthropic。 北京时间9月3日凌晨，全球人工智能领域迎来一则重磅消息——OpenAI最强劲的对手、大模型公司 Anthropic宣布完成130亿美元F轮融资，投后估值飙升至1830亿美元（约合1.3万亿元人民币），估值相 较今年3月E轮融资后的615亿美元飙涨近3倍。 这项交易由ICONIQ Capital、富达投资和光速创投共同领投，其他投资者包括新加坡政府投资公司、卡 塔尔投资局等。值得注意的是，本轮融资规模远超预期，据外媒报道，Anthropic最初的融资目标为50 亿美元，后来上调至100亿美元，最终落在130亿美元，显示了投资者对Anthropic的强劲兴趣。 不到5年融资超300亿美元 根据Anthropic官方披露数据，截至今年8月，公司的年化收入已突破50亿美元，较年初的10亿美元实现 5倍增长，成为历史上增长最快的科技公司之一。此外，Anthropic还透露，公司开发的编程工具Claude Code年化收入超过5亿美元，3个月内使用量增长了10倍以上。 Claude Code是今年2月Anthropic推出的AI编 ...

最新一轮融资落地后，全球前三大AI独角兽分别是字节跳动、OpenAI和Anthropic。 北京时间9月3日凌晨，全球人工智能领域迎来一则重磅消息——OpenAI最强劲的对手、大模型公司Anthropic宣布完成130亿美元F轮融资，投后估值飙升 至1830亿美元（约合1.3万亿元人民币），估值相较今年3月E轮融资后的615亿美元飙涨近3倍。 这项交易由ICONIQ Capital、富达投资和光速创投共同领投，其他投资者包括新加坡政府投资公司、卡塔尔投资局等。值得注意的是，本轮融资规模远超预 期，据外媒报道，Anthropic最初的融资目标为50亿美元，后来上调至100亿美元，最终落在130亿美元，显示了投资者对Anthropic的强劲兴趣。 不到5年融资超300亿美元 Anthropic成立于2021年，由前OpenAI研究副总裁达里奥·阿莫迪和前OpenAI安全政策部门副总裁丹妮拉·阿莫迪等人联合创立。创始团队中多人来自 OpenAI核心研发部门，且曾参与GPT系列大模型的早期研发工作，因此诞生之初便被视为OpenAI的"最强挑战者"。 由于不满OpenAI在技术还不够安全的情况下快速推进商业化，创始团队 ...

最新一轮融资落地后，全球前三大AI独角兽分别是字节跳动、OpenAI和Anthropic。 北京时间9月3日凌晨，全球人工智能领域迎来一则重磅消息——OpenAI最强劲的对手、大模型公司 Anthropic宣布完成130亿美元F轮融资，投后估值飙升至1830亿美元（约合1.3万亿元人民币），估值相 较今年3月E轮融资后的615亿美元飙涨近3倍。 这项交易由ICONIQ Capital、富达投资和光速创投共同领投，其他投资者包括其新加坡政府投资公司、 卡塔尔投资局等。值得注意的是，本轮融资规模远超预期，据外媒报道，Anthropic最初的融资目标为 50亿美元，后来上调至100亿美元，最终落在130亿美元，显示了投资者对Anthropic的强劲兴趣。 不到5年融资超300亿美元 Anthropic成立于2021年，由前OpenAI研究副总裁达里奥·阿莫迪和前OpenAI安全政策部门副总裁丹妮拉· 阿莫迪等人联合创立。创始团队中多人来自OpenAI核心研发部门，且曾参与GPT系列大模型的早期研 发工作，因此诞生之初便被视为OpenAI的"最强挑战者"。 由于不满OpenAI在技术还不够安全的情况下快速推进商业化， ...

Core Viewpoint - The article highlights the influential figures in the AI field as recognized by Time magazine in its 2025 list, emphasizing the increasing representation of Chinese individuals and their contributions to AI technology [2][5]. Group 1: Leaders - Ren Zhengfei, founder of Huawei, has driven long-term investments in AI, launching the Ascend series AI chips and the MindSpore deep learning framework, establishing a competitive edge in the AI ecosystem [8]. - Liang Wenfeng, CEO of DeepSeek, has led the company to prominence in AI technology, releasing the R1 model that competes with OpenAI's latest offerings, showcasing China's capabilities in AI with minimal computational resources [11]. - Huang Renxun, co-founder and CEO of NVIDIA, transformed the company into a leading AI computing firm, with its CUDA platform and high-performance GPUs being essential for advancements in deep learning [14]. - Wei Zhejia, chairman and CEO of TSMC, has positioned the company as a key player in AI chip manufacturing, ensuring the production of powerful AI processors through strategic decisions [17]. Group 2: Innovators - Peng Jun, CEO of Pony.ai, has been pivotal in the commercialization of autonomous driving, achieving large-scale operations of Robotaxi services in major Chinese cities by 2025 [25]. - Edwin Chen, founder and CEO of Surge AI, has built a successful data labeling company, generating over $1 billion in revenue by 2024, with a valuation exceeding $25 billion during fundraising [28]. Group 3: Shapers - Li Feifei, Stanford professor and CEO of World Labs, is a key figure in human-centered AI research, having created the ImageNet project, which revolutionized computer vision [31][32]. - Xue Lan, Tsinghua University professor, has contributed significantly to AI governance and public policy, influencing the development of ethical standards and regulations in AI [35][36]. Group 4: Other AI Figures - Elon Musk, founder of xAI, has been influential in developing autonomous driving technologies and brain-machine interfaces [40]. - Sam Altman, CEO of OpenAI, has led the company in releasing groundbreaking AI products, significantly advancing generative AI technology [42]. - Andy Jassy, president and CEO of Amazon, has laid the groundwork for AI advancements through AWS and is actively promoting generative AI innovations [51].

Core Insights - The 2025 TIME 100 list highlights influential figures in the AI field, showcasing a significant presence of Chinese individuals, many of whom are first-time honorees [1][4]. Leaders - Ren Zhengfei, founder of Huawei, has driven long-term investments in AI, launching the Ascend series AI chips and the MindSpore deep learning framework, establishing a competitive edge in the smart era [6]. - Liang Wenfeng, CEO of DeepSeek, has led the company to become a core player in AI technology, releasing the R1 model that competes with OpenAI's latest offerings [8]. - Huang Renxun, co-founder and CEO of NVIDIA, transformed the company into a leading AI computing firm, with its CUDA platform and high-performance GPUs being essential for deep learning advancements [10]. - Wei Zhejia, chairman and CEO of TSMC, has positioned the company as a key manufacturer for top AI chip designers, ensuring the mass production of powerful AI processors [12]. - Alexandr Wang, co-leader of Meta's Superintelligence Lab, previously founded Scale AI, which provides critical data support for various AI applications [14]. - Wang Xingxing, CEO of Unitree Technology, is a key player in embodied AI, focusing on the development of humanoid robots [16]. Innovators - Peng Jun, CEO of Pony.ai, has been pivotal in the commercialization of autonomous driving, achieving large-scale operations of Robotaxi services in major Chinese cities by 2025 [19]. - Edwin Chen, founder and CEO of Surge AI, has built a company valued at over $25 billion, providing high-quality datasets essential for AI development [21]. Shapers - Li Feifei, Stanford professor and CEO of World Labs, is a leading figure in responsible AI development, having created the ImageNet project that revolutionized computer vision [24]. - Xue Lan, a professor at Tsinghua University, contributes to AI governance and public policy, influencing AI regulatory frameworks [26]. Other AI Figures - Elon Musk, founder of xAI, has been influential in developing AI technologies across various sectors [29]. - Sam Altman, CEO of OpenAI, has significantly advanced generative AI technologies [33]. - Andy Jassy, president and CEO of Amazon, has laid the groundwork for AI through AWS and is driving innovation in generative AI [41].

Core Insights - The article discusses the release of TIME's list of the 100 most influential people in AI for 2025, highlighting an increase in the representation of Chinese individuals in the field [1][4]. Leaders - Ren Zhengfei, founder of Huawei, has driven long-term investments in AI, launching the Ascend series AI chips and MindSpore deep learning framework, establishing a competitive edge in the smart era [5][7]. - Liang Wenfeng, CEO of DeepSeek, has led the company to become a core player in AI technology, releasing the R1 model that competes with OpenAI's latest offerings [8][10]. - Huang Renxun, co-founder and CEO of NVIDIA, transformed the company into a leading AI computing firm, with its GPU technology being essential for deep learning advancements [11][13]. - Wei Zhejia, chairman of TSMC, has positioned the company as a key player in AI chip manufacturing, ensuring the production of powerful AI processors [14][16]. - Wang Tao, co-head of Meta's Superintelligence Lab, has focused on high-quality data as a critical factor for AI model capabilities [18]. - Wang Xingxing, CEO of Unitree Technology, is a key figure in embodied AI, leading the development of humanoid robots [21]. Innovators - Peng Jun, CEO of Pony.ai, has been pivotal in the commercialization of autonomous driving technology, achieving large-scale operations of Robotaxi services in major Chinese cities [22][24]. - Edwin Chen, founder of Surge AI, has built a company that generates high-quality datasets, achieving over $1 billion in revenue by 2024 [25][27]. Shapers - Li Feifei, Stanford professor and CEO of World Labs, has been influential in AI research and ethics, leading the creation of the ImageNet project [28][30]. Thinkers - Xue Lan, a professor at Tsinghua University, has contributed to AI governance and public policy, influencing the development of ethical AI frameworks [32][34].

Group 1 - OpenAI has raised $8.3 billion in funding, with a current valuation of $300 billion, significantly outpacing competitors [1][2] - The recent funding round did not include SoftBank, which previously led a $40 billion investment round in March, raising concerns about the status of their partnership [1][4] - The "Stargate" project, aimed at building AI infrastructure, is reportedly facing delays and disagreements between OpenAI and SoftBank, leading OpenAI to seek alternative power support [3][4] Group 2 - OpenAI's new data center project, "Stargate Norway," is a collaboration with Aker and Nscale, marking its first venture into Europe [2] - The "Stargate" initiative was initially launched in the U.S. with a planned investment of $500 billion over four years, but progress has stalled [2][3] - Competitors like Anthropic are also raising significant funds, with a potential $5 billion round that could increase its valuation to $170 billion, highlighting the competitive landscape in AI [5][6]

Group 1 - OpenAI has raised $8.3 billion in funding, with a valuation reaching $300 billion, significantly outpacing competitors [1][3][7] - Prior to this funding round, OpenAI announced a $40 billion financing led by SoftBank, but the actual funding status remains unclear [1][5] - The relationship between OpenAI and SoftBank appears strained, with reports of slow progress on the "Star Gate" project and lack of SoftBank's involvement in the latest funding [1][4][5] Group 2 - The "Star Gate" project aims to establish a significant AI infrastructure, with plans to invest $500 billion over four years, but has faced delays and disagreements between key investors [3][4] - OpenAI is actively seeking additional computing power outside of the "Star Gate" project due to increasing demands for large model training [4][5] - Competitors like Anthropic are also raising significant funds, with a potential $5 billion round that could increase its valuation to $170 billion, highlighting the competitive landscape in AI [8]

Core Viewpoint - OpenAI has raised $8.3 billion in funding, achieving a valuation of $300 billion, significantly outpacing competitors in the AI sector [1][4][8]. Group 1: Funding and Valuation - OpenAI's recent funding round of $8.3 billion includes investors such as Blackstone Group, TPG, and T. Rowe, but notably excludes SoftBank [1][6]. - Prior to this, OpenAI announced a $40 billion funding round led by SoftBank on March 31, which also valued the company at $300 billion [1][6]. - The $40 billion funding was contingent on OpenAI restructuring into a for-profit entity by December 31, 2023, or risk a reduction in investment by $10 billion to $30 billion [1][6]. Group 2: Project "Gateway to the Stars" - OpenAI is eager to secure funding to advance the "Gateway to the Stars" project, which aims to establish AI data centers, including a new facility in Norway [4][5]. - The Norwegian data center will be a collaboration between Aker and Nscale, with OpenAI acting as the purchaser of computing power [4]. - The "Gateway to the Stars" project was initially launched in the U.S. with a planned investment of $500 billion over four years, but progress has been slow due to disagreements between OpenAI and SoftBank [5][6]. Group 3: Competitive Landscape - OpenAI's valuation of $300 billion places it far ahead of competitors, but the AI sector remains highly competitive [8]. - Competitor Anthropic is also in the process of raising funds, potentially reaching a valuation of $170 billion, a significant increase from $61.5 billion earlier this year [8]. - Elon Musk's xAI has recently completed a $10 billion funding round, achieving a valuation of $80 billion, indicating a rapid pace of investment in the AI sector [9].