Claude Sonnet 4

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《时代》公布 2025 年度最佳发明:OpenAI 零入选,国产霸榜
3 6 Ke· 2025-10-10 11:51
今天,《时代》公布了「2025 最佳发明」榜单,评选了 300 个本年度最值得一提的创新发明。 在这份榜单里,除了风靡全球的国产 AI 模型 DeepSeek R1,还有能帮我们洗碗做家务的机器人,能实时翻译的耳机,把数据中心搬到桌面的 AI 超算小主 机…… 这些涵盖将近 40 个分类的发明放在一起,就像是一部未来生活的预告片,提示我们日常会被怎样重塑。 AI 不再只是少数人的工具,而是开始无处不在; 机器人不再停留在实验室,真实地出现在厨房里; 医疗、农业、娱乐等领域,那些看似微小的创新,也在悄悄改变着我们的日常。 话不多说,我们一起来看看 2025 年的世界,究竟哪些发明吸引着世界的目光。 除了 AI,还是 AI 说到创新,现在一定有 AI 这个关键词,手机进化为 AI 手机,手机里的 App 更是全部清一色的加入了 AI 功能。日常的学习、工作和生活,都开始面对着 AI 智慧医疗、AI 智慧城市、AI XX助手等等。 而要说到让 AI 真正走入寻常百姓家,人人唾手可得的产品,必然离不开 DeepSeek R1。 DeepSeek R1:一个低成本的大语言模型 DeepSeek R1 是在今年年初,特朗 ...
微软宣布接入Claude模型
Huan Qiu Wang· 2025-09-28 08:55
另外,Microsoft 365 Copilot 将继续由 OpenAI 的最新模型 GPT-5 提供支持,现在用户也可以灵活地使 用 Anthropic 的 Claude Sonnet 4 和 Claude Opus 4.1 模型。(青云) 【环球网科技综合报道】9月28日消息,微软官方宣布,Microsoft 365 Copilot 将接入 Anthropic 的 Claude 模型。 来源:环球网 ...
Copilot 用户狂欢!微软宣布引入 Claude 模型,OpenAI 不再被“独宠”
AI前线· 2025-09-26 12:07
Core Viewpoint - Microsoft is deepening its collaboration with Anthropic, integrating its AI models into the Copilot assistant, marking a significant shift away from its previous exclusive partnership with OpenAI [2]. Group 1: Partnership Developments - Starting from this week, Microsoft will incorporate Anthropic's AI models into its Copilot, which previously relied primarily on OpenAI's technology [2]. - On September 25, Microsoft CEO Satya Nadella announced this new partnership on the X platform [2]. - This agreement signifies a gradual "decoupling" from OpenAI, as Microsoft recently signed another agreement to apply Anthropic's AI technology in Office 365 applications like Word, Excel, and Outlook [2]. Group 2: AI Model Capabilities - The integration allows Copilot's commercial users to choose between OpenAI's deep reasoning models and Anthropic's Claude Opus 4.1 and Claude Sonnet 4 models for specific tasks [2]. - Claude Opus 4.1 is designed for complex reasoning, code writing, and deep architecture planning, while Claude Sonnet 4 is more suited for routine development tasks, large-scale data processing, and content generation [3]. Group 3: Industry Implications - Users have noted the significance of integrating both Claude and ChatGPT into a single enterprise platform, highlighting the importance of having multiple options for different tasks [3]. - The integration is seen as a challenge to the notion of a single optimal model in the AI field, indicating that the real competition in AI is just beginning [3].
创智&交大发现AI能动性新规律, 78样本胜GPT5实现软件+科研自动化
机器之心· 2025-09-26 08:26
如图展示了一个模型从头开发的完整可运行的五子棋游戏, 这种端到端的自主执行能力正是未来 AI 系统的核心价值所在 ,证明了其在实际工作场景中的巨大应 用潜力。 LIMI 的发现挑战了 "数据规模决定能力上限" 的传统认知,提出了 能动性效率原则 :模型能动性的发展更依赖于对能动性本质的理解和高质量数据的精准构造, 而非简单的数据堆叠。 这一发现为大规模部署具备真正工作能力的 AI 系统开辟了可行路径 ,表明理解能动性的核心机制比盲目扩大数据规模更为重要。 AI 能动性的时代要求系统不仅能思考,更要能干活:包括协同编程(人机协作开发)和自动化科学研究。LIMI 仅用 78 个样本就超越 GPT-5 达 14.1%,并发现了能动性效率原则: AI 能动性不仅来源于数据丰富性,更来自于战略性构建。 本文来自于上海创智学院和上海交大刘鹏飞老师团队,团队专注于构建最前沿 AI 系统。核心作者来自于香港理工大学,上海交通大学,以及中国科学技术大学。 从 ChatGPT 到 Claude,从 Codex 到 Claude Code,全球科技公司正在 "能动性" 领域展开激烈竞争。这一趋势反映了产业界的关键认知: 能动 性能 ...
X @Anthropic
Anthropic· 2025-09-24 17:44
Claude Sonnet 4 and Opus 4.1 are now available in Microsoft 365 Copilot, bringing Claude’s advanced reasoning capabilities to millions of enterprise users.Read more: https://t.co/3UTzA9A2Yk ...
微软将使用Anthropic的AI模型来驱动人工智能助手
Ge Long Hui A P P· 2025-09-24 15:35
格隆汇9月24日|微软今天将把Anthropic的Claude Sonnet 4和Claude Opus 4.1人工智能模型带到微软365 Copilot上。这是一项重大举措,不仅扩大了Microsoft 365 Copilot中除OpenAI外的模型选择范围,而且 将允许微软的客户访问Researcher和Microsoft Copilot Studio中的Anthropic模型。微软商业和工业副驾驶 团队总裁查尔斯·拉曼纳解释说,"Copilot将继续由OpenAI的最新模型提供支持,现在我们的客户也可以 灵活地使用Anthropic模型——从Researcher开始,或者在微软Copilot Studio中构建代理。" ...
Microsoft adds Anthropic AI model to Copilot assistant, diversifying from OpenAI
CNBC· 2025-09-24 15:00
Core Insights - Microsoft is diversifying its AI partnerships by incorporating technology from Anthropic, a competitor to OpenAI, into its Microsoft 365 Copilot assistant for commercial clients [1][2][5] - Microsoft has invested over $13 billion in OpenAI and continues to maintain a close relationship, but the dynamics are shifting as it explores other AI models [2][3][4] - Anthropic has gained significant investment and valuation, with recent partnerships including a $300 billion plan with Oracle and a $10 billion agreement with Broadcom [3][4] Group 1: Microsoft and OpenAI Relationship - Microsoft has primarily relied on OpenAI models for AI features across its products, but is now beginning to use Anthropic's AI model [1][2] - Microsoft remains the exclusive cloud provider for OpenAI's programming interface, indicating a continued partnership despite the diversification [4] Group 2: Anthropic's Role and Offerings - Anthropic's AI model, Claude Opus 4.1, is being integrated into Microsoft's Researcher tool, allowing users to choose between Anthropic and OpenAI models [5][6] - Anthropic's models are subject to their own terms and conditions and run on Amazon and Google clouds, highlighting the competitive landscape [7] Group 3: Market Dynamics and Adoption - Microsoft identified OpenAI and Anthropic as competitors in the AI space, with Copilot being a crucial part of its AI strategy [8] - Analysts noted that about 60% of customers are implementing Copilot for only 10% of their Microsoft 365 user base, indicating a gradual adoption [9]
Qwen3-Max重磅发布,阿里巴巴大涨超7%,领涨恒生科技指数ETF(513180)持仓股
Mei Ri Jing Ji Xin Wen· 2025-09-24 03:42
Group 1 - The Hong Kong stock market indices collectively rose, with the Hang Seng Tech Index increasing by 1.5%, driven by strong performance in semiconductor and tech stocks [1] - Alibaba launched Qwen3-Max, its largest and most capable model to date, which has achieved significant rankings in AI benchmarks, surpassing GPT-5-Chat [1] - The Qwen3 series from Alibaba continues to upgrade, with the Qwen3 Coder model performing competitively in coding benchmarks, enhancing the competitiveness of domestic large models [1] Group 2 - Alibaba is the largest weighted stock in the Hang Seng Tech Index, with a weight of 8.79%, indicating its significant influence on the index's performance [2] - The outlook for the Hang Seng Tech Index is optimistic, with expectations of continued inflows from southbound funds and a potential revaluation driven by AI narratives [2]
为 OpenAI 秘密提供模型测试, OpenRouter 给 LLMs 做了套“网关系统”
海外独角兽· 2025-09-23 07:52
Core Insights - The article discusses the differentiation of large model companies in Silicon Valley, highlighting OpenRouter as a key player in model routing, which has seen significant growth in token usage [2][3][6]. Group 1: OpenRouter Overview - OpenRouter was established in early 2023, providing a unified API Key for users to access various models, including mainstream and open-source models [6]. - The platform's token usage surged from 405 billion tokens at the beginning of the year to 4.9 trillion tokens by September, marking an increase of over 12 times [2][6]. - OpenRouter addresses three major pain points in API calls: lack of a unified market and interface, API instability, and balancing cost with performance [7][9]. Group 2: Model Usage Insights - OpenRouter's model usage reports have sparked widespread discussion in the developer and investor communities, becoming essential reading [3][10]. - The platform provides insights into user data across different models, helping users understand model popularity and performance [10]. Group 3: Founder Insights - Alex Atallah, the founder of OpenRouter, believes that the large model market is not a winner-takes-all scenario, emphasizing the need for developers to control model routing based on their requests [3][18]. - Atallah draws parallels between OpenRouter and his previous venture, OpenSea, highlighting the importance of integrating disparate resources into a cohesive platform [19][20]. Group 4: OpenRouter Functionality - OpenRouter functions as a model aggregator and marketplace, allowing users to manage over 470 models through a single interface [31]. - The platform employs intelligent load balancing to route requests to the most suitable providers, enhancing reliability and performance [37]. - OpenRouter aims to empower developers by providing a unified view of model access, allowing them to choose the best models based on their specific needs [34][35]. Group 5: Future Directions - OpenRouter is exploring the potential of personalized models based on user prompts while ensuring user data remains private unless opted in for recording [52][55]. - The platform aims to become the best reasoning layer for agents, providing developers with the tools to create intelligent agents without being locked into specific suppliers [58][60].
马斯克刚关注了这份AI报告
量子位· 2025-09-19 04:11
Core Viewpoint - The report commissioned by Google DeepMind predicts that by 2030, the cost of AI computing clusters will exceed $100 billion, driven by the need for significant computational power and data resources [5][6][10]. Group 1: Scalability and Revenue - The report indicates that recent AI models have shown significant progress in benchmark tests and revenue growth, with companies like OpenAI, Anthropic, and Google DeepMind expected to see revenue increases exceeding 90% in the second half of 2024, translating to an annual growth rate of over three times [13][17]. - Despite concerns about potential bottlenecks in scalability, there is currently no evidence to suggest that such limitations have begun to manifest [14][30]. Group 2: Data Availability - The report asserts that the current supply of publicly generated text data is sufficient to last until 2027, with synthetic data expected to fill any gaps thereafter [20][23]. - The emergence of reasoning models has validated the effectiveness of synthetic data, as demonstrated by AI systems like AlphaZero and AlphaProof, which learned complex tasks through self-generated data [24]. Group 3: Power Requirements - The report highlights various methods to rapidly increase power output, such as solar energy combined with battery storage and off-grid natural gas generation [27]. - The distribution of AI training tasks across multiple data centers is expected to alleviate some of the power consumption pressures [28]. Group 4: Capital Investment - Concerns about high expansion costs leading to reduced investment in AI development are addressed, with the report suggesting that if revenue trends continue, the necessary investments exceeding $100 billion by 2030 will be feasible [30]. - The potential for AI to significantly enhance productivity across numerous tasks could lead to a market value in the trillions of dollars [31]. Group 5: Algorithm Efficiency - There is a belief that AI development may shift towards more efficient algorithms; however, the report notes that algorithm efficiency is already improving alongside increasing computational power [32][34]. - The report does not foresee any sudden acceleration in algorithmic advancements that would disrupt current trends [34]. Group 6: Scientific Advancements - By 2030, AI is expected to assist in complex scientific tasks, including software development, mathematical proofs, molecular biology research, and weather forecasting, thereby enhancing productivity in these fields [41][44][63]. - The report outlines that AI will likely become a research assistant capable of solving complex programming issues and aiding in mathematical intuition [46][54][60].