Satya Nadella@satyanadella · 4月28日51

Super to see Accenture roll out 740,000+ M365 Copilot seats—our largest deployment to date! https://news.microsoft.com/source/features/digital-transformation/accenture-is-rolling-out-copilot-to-a-workforce-the-size-of-denver

译很高兴看到埃森哲推出超过74万个M365 Copilot席位——这是我们迄今为止最大规模的部署！ https://news.microsoft.com/source/features/digital-transformation/accenture-is-rolling-out-copilot-to-a-workforce-the-size-of-denver

Rohan Paul@rohanpaul_ai · 4月28日79

OpenAI is moving away from its exclusive Microsoft arrangement, making room for possible partnerships with Amazon and Google. At the same time, Microsoft wants to cut its dependence on OpenAI by creating its own AI models. Ending the exclusivity could also help lower antitrust scrutiny across the U.S., U.K., and Europe. Barclays analysts said the shift may free Microsoft to invest more in Copilot and expand cloud capacity. Last month, Microsoft was considering legal action against Amazon and OpenAI over a $ 50B cloud deal that may have violated its exclusive cloud partnership. The revised arrangement now lets OpenAI run its services on Amazon’s cloud without the technical changes required under the earlier Microsoft agreement. Microsoft still keeps a non-exclusive license to OpenAI model and product IP through 2032, still gets OpenAI revenue share through 2030, and still sits inside the upside as a major shareholder. Microsoft stock, falls -5% after announcing that its OpenAI license will now be nonexclusive and it will no longer pay revenue share to OpenAI. Investors can punish the loss of exclusivity on the headline, even if the deeper effect is to simplify the alliance and reduce regulatory and capital strain. But the ​software giant will no longer share revenue for the OpenAI products it sells on its cloud. Revenue OpenAI must share with Microsoft through 2030 will ​now have a cap for the total number and no longer tied to the startup's technology milestones. My read is that OpenAI gained more bargaining power than Microsoft gained certainty, which explains why investors initially treated the change like a moat reduction rather than a breakup. For Microsoft, the selloff reflects a real loss of scarcity premium, but the deeper gain is strategic - freeing capital for Copilot and other cloud capacity, while also easing antitrust pressure and reducing dependence on a partner that recently accounted for about 45% of Microsoft’s remaining performance obligation. Amazon looks like the clearest tactical winner. It already has a strategic OpenAI partnership, Bedrock distribution for OpenAI Frontier, and a large Trainium capacity commitment, so this deal turns AWS from backup infrastructure into a front-line route to OpenAI. Google Cloud gains something subtler but important: the right to compete for OpenAI workloads even while competing in models.

译OpenAI修订与微软的合作协议，结束独家云合作关系，未来可将其服务部署于亚马逊云等平台。微软保留至2032年的非独家模型许可以及至2030年的有上限收入分成。此举削弱了微软的稀缺性优势，引发其股价下跌，但有助于微软释放资本投入Copilot并缓解反垄断压力。亚马逊成为明确赢家，其AWS从备用基础设施转为OpenAI的前线平台；谷歌云也获得了竞争OpenAI工作负载的机会。OpenAI创始人确认微软仍是其主要云合作伙伴，但产品将扩展至所有云平台。

Chubby♨️@kimmonismus · 4月27日62

-400k white collar workers -first annual decline since 2026 And everyone knows that the big companies are already trying to integrate AI even more deeply.

译2025年，标普500指数成分公司员工总数减少40万人至2810万，这是自2016年以来的首次年度下降，结束了连续八年的就业增长。此轮裁员主要由UPS、甲骨文、亚马逊、Meta、英特尔和微软等大型科技与物流企业推动，核心动因是企业为削减成本并将资源转向人工智能领域。预计2026年裁员趋势将持续，亚马逊、Meta和微软已计划进一步削减数万个企业职位。这一趋势表明，美国企业正加速进行以AI为导向的结构调整，对白领就业市场造成了显著冲击。

Berryxia.AI@berryxia · 4月26日60

🚨 微软刚刚开源炸场了！ TRELLIS.2 —— 40亿参数图像转3D模型 一张图片 → 仅需3秒 就能生成带完整PBR材质（粗糙度、金属度、不透明度）的超高质量3D资产！ 不是粗糙网格，而是直接能用的专业级模型 连开放表面、空心内部、复杂几何体都轻松搞定！

译微软开源了40亿参数的TRELLIS.2模型，可将单张图片在3秒内转换为具备完整PBR材质（粗糙度、金属度、不透明度）的专业级3D资产。该模型生成的并非粗糙网格，而是直接可用于生产流程的高质量模型，能够准确处理开放表面、空心结构以及复杂几何体，显著提升了图像到3D内容的生成效率与实用性。

Satya Nadella@satyanadella · 4月26日16

Really fun to try this app while in Sydney this week, which uses our tools to help fans deep dive into cricket matches, players, and history.

译本周在悉尼试用这款应用非常有趣，它利用我们的工具帮助板球迷深入探索比赛、球员和历史。

Satya Nadella@satyanadella · 4月21日

Great to meet with @BecaGroup in Auckland and see how they are using Azure, Foundry, and their BEYON platform to make the New Zealand Geotechnical Database more accessible and useful. It is a powerful example of AI helping engineers access critical data faster and make better decisions, as they build more resilient infrastructure across New Zealand.

译很高兴在奥克兰与 @BecaGroup 会面，了解他们如何利用 Azure、Foundry 及其 BEYON 平台让 New Zealand Geotechnical Database 更易访问和实用。 这是 AI 帮助工程师更快获取关键数据并做出更好决策的有力例证，助力他们在新西兰各地建设更具韧性的基础设施。

Satya Nadella@satyanadella · 4月20日22

When it comes to Excel, Diarmuid Early is in a different league. Fun to have the chance to talk shop with the reigning Excel world champion!

译说到Excel，Diarmuid Early完全是另一个级别的存在。 有机会与现任Excel世界冠军交流心得，真是件乐事！

Deedy@deedydas · 4月18日

Fintool, which lets you build agents on top of the high quality public financial data, just got acquired by Microsoft. I met the founders Nicolas (@nicbstme) and Edouard (@edouardgodfrey) far before being an investor, and the rigor of their approach to building was a class apart. Later, this became more obvious to the world after Nic’s phenomenal essays on building kept going viral (read them: they’re as relevant today as ever!). It was a no brainer for us at Menlo Ventures to invest at the seed and a fantastic exit for the Anthology Fund!

译Fintool，一个支持用户在高质量公共金融数据之上构建agents的平台，已被Microsoft收购。该公司由Nicolas与Edouard创立，其严谨的工程方法论曾通过广泛传播的技术文章展现。Menlo Ventures曾在种子轮投资该公司，此次收购也为Anthology Fund带来了成功退出。

Epoch AI@EpochAIResearch · 4月17日

Errata: Yesterday, we discovered that some of our chip owner estimates were stale—Oracle's Nvidia compute wasn’t subtracted from "Other" as intended. This inflated “Other” by ~1M H100e, 5% of the overall total. In our corrected figures, hyperscalers hold 71% of world AI compute.

译勘误：昨天，我们发现我们对芯片持有者的部分估算数据已过时——Oracle 的 Nvidia 算力未按预期从"其他"类别中扣除。 这使得"其他"类别虚增了约100万 H100e，占总体总量的5%。在我们修正后的数据中，超大规模云服务商持有全球 AI 算力的71%。 [引用 @EpochAIResearch]：五家公司——Google、Microsoft、Meta、Amazon 和 Oracle——目前控制着全球约三分之二的算力，较2024年初的约60%略有上升。 许多 AI 实验室（包括 OpenAI 和 Anthropic）几乎完全依赖这些超大规模云服务商来获取算力。

Satya Nadella@satyanadella · 4月16日

Our Fairwater datacenter in Wisconsin is going live, ahead of schedule. As the world’s most powerful AI datacenter, it will bring together hundreds of thousands of GB200s into a single seamless cluster. Congrats to all the teams who made this possible!

译我们位于 Wisconsin 的 Fairwater 数据中心提前上线。 作为全球最强大的 AI 数据中心，它将把数十万台 GB200 整合进一个无缝集群。 祝贺所有促成此事的团队！ [引用 @satyanadella]：如果智能是计算的对数……那它始于大量计算！这就是为什么我们扩展 GPU 集群的速度比任何人都快。 仅去年一年，我们就增加了超过 2 吉瓦的新容量——大约相当于 2 座核电站的输出。 今天我们更进一步，宣布全球最强大的 AI 数据中心，位于 Wisconsin 东南部。 Fairwater 是一个由数十万台 NVIDIA GB200 组成的无缝集群，连接所需的光纤足以绕地球 4.5 圈。 它将提供当今世界最快超级计算机 10 倍的性能，实现前所未有的 AI 训练和推理工作负载。 对于 AI 训练工作负载，你需要指数级规模的计算。这就是为什么我们将数据中心、GPU 集群和网络设计为一个集成系统。这确保从第一天起，单个作业就能在数千个 GPU 上以指数级规模运行。 Fairwater 使用液冷闭环系统为 GPU 散热，建成后运营无需用水。 而且我们将所有消耗的能源与可再生能源相匹配。 当然，这只是我们在 70 多个区域启用的多个类似站点之一。除了已在全球 100 多个数据中心部署的 AI 基础设施外，我们还在美国其他地点建设多个相同的 Fairwater 数据中心，为全球规模的模型训练、测试时计算、RL 微调和实时推理提供动力。 在这样的时期，人们常常随波逐流，事后才想，我们是怎么走到这一步的？ 通过 Fairwater，我们正在开辟一条新道路：做艰苦的工程工作，将计算、网络和存储整合到一个高度扩展的集群中，并设计闭环能源系统以满足现实世界的计算需求。 并与当地社区合作，确保以可持续、创造新就业机会和扩大机会的方式深思熟虑地完成。 我们很高兴看到这在 Wisconsin 落地，而我们才刚刚开始。

Rohan Paul@rohanpaul_ai · 4月15日

Today’s edition of my newsletter just went out. 🔗 https://www.rohan-paul.com/p/cursor-just-turned-its-agent-workflow 🗞️ Cursor just turned its agent workflow from a tab-by-tab queue into a parallel workspace 🗞️ Microsoft just gave Copilot in Word a bigger role in high-stakes document editing, for legal, finance, and compliance professionals. 🗞️ Anthropic’s new result shows that AI can already speed up some alignment research, but mostly when the problem is sharply measurable. 🗞️ OpenClaw just pushed a stability-first release that makes GPT-5.4, browsers, chat connectors, and local models fail less often in real deployments. 🗞️ Microsoft just laid out a new way to keep enterprise software growing in an AI-heavy workplace: charge AI agents for software seats the same way companies pay for human employees.

译Cursor将其agent工作流从串行队列升级为并行工作空间。Microsoft强化Word中Copilot在法律、金融等专业文档编辑中的角色。Anthropic研究表明AI可加速可量化的对齐研究。OpenClaw发布稳定性优先版本，减少GPT-5.4及本地模型部署故障。Microsoft提出按席位向AI代理收费的企业软件新商业模式。

Epoch AI@EpochAIResearch · 4月15日

Five companies — Google, Microsoft, Meta, Amazon, and Oracle — now control about two-thirds of the world's compute, up slightly from ~60% at the start of 2024. Many AI labs (including OpenAI and Anthropic) depend almost entirely on these hyperscalers for access to their compute.

译五家公司——Google、Microsoft、Meta、Amazon 和 Oracle——目前掌控着全球约三分之二的算力，较 2024 年初的约 60% 略有上升。 许多 AI 实验室（包括 OpenAI 和 Anthropic）几乎完全依赖这些超大规模服务商来获取算力。

Satya Nadella@satyanadella · 4月15日

New in Word: Copilot now tracks changes, leaves comments, and more, working more like a coworker right inside your document, grounded in all your enterprise context with Work IQ.

译Word 新功能：Copilot 现可跟踪修订、添加批注等，如同同事般直接在文档内协作，并通过 Work IQ 基于完整的企业上下文。

Rohan Paul@rohanpaul_ai · 4月14日

Microsoft is building its own OpenClaw-like features into its existing Microsoft 365 Copilot tool. This is called Build, and that's in June It would gear toward enterprise customers, with better security controls. ~ The Information

译Microsoft 正为其现有的 Microsoft 365 Copilot 工具构建类似 OpenClaw 的功能。 这被称为 Build，时间在六月 它将面向企业客户，具备更好的安全控制。 ~ The Information

Chubby♨️@kimmonismus · 4月14日

Microsoft is testing OpenClaw-style AI agents to evolve Microsoft 365 Copilot into an always-on assistant that can autonomously handle tasks like managing emails, calendars, and daily workflows. They literally try everything to make copilot more appealing.

译Microsoft 正在测试 OpenClaw 风格的 AI 智能体，以将 Microsoft 365 Copilot 进化为始终在线的助手，可自主处理邮件、日历和日常工作流等任务。 他们简直想尽一切办法让 copilot 更受欢迎。

Satya Nadella@satyanadella · 4月11日

In GitHub Copilot CLI, you can now leverage a multi-model reflection loop as a reviewer. Super helpful for catching issues early before they compound.

译GitHub Copilot CLI 推出"Rubber Duck"代理功能，支持多模型反思循环审查。系统自动调用不同 AI 家族模型进行交叉评审，官方数据显示该机制能有效提前发现代码问题，避免错误累积。

Chubby♨️@kimmonismus · 4月11日

Claude does better integration into word than Microsoft with copilot. Make it make sense.

译Claude 与 Microsoft Word 的集成效果竟比微软自家 Copilot 更出色，这种"喧宾夺主"的荒诞现象让人无法理解。

Artificial Analysis@ArtificialAnlys · 4月3日56

Microsoft has released MAI-Transcribe-1: a speech transcription model achieving 3.0% on AA-WER (#4), and is fast at 69x real-time The model was developed by Microsoft AI (MAI)’s Superintelligence team and supports 25 languages including English, French, Arabic, Japanese, and Chinese. MAI-Transcribe-1 API is currently available in public preview via Azure Speech on Microsoft Foundry. On the Artificial Analysis Speech to Text (STT) leaderboard, MAI-Transcribe-1 achieves a 3.0% word error rate on AA-WER for speech transcription accuracy, positioning it 4th overall behind Mistral’s Voxtral Small (2.9% AA-WER), Google’s Gemini 3.1 Pro High (2.9% AA-WER) and ElevenLabs’ Scribe v2 (2.3% AA-WER). It also stands out as one of the faster high-accuracy transcription models available, processing audio at ~69x real-time. See more details below ⬇️

译微软AI超级智能团队发布了MAI-Transcribe-1语音转录模型。该模型在Artificial Analysis语音转文本排行榜的AA-WER指标上达到3.0%的词错误率，位列第四，仅次于Mistral Voxtral Small、Google Gemini 3.1 Pro High和ElevenLabs Scribe v2。其处理速度约为实时音频的69倍，属于高速高精度模型。模型支持包括英语、法语、阿拉伯语、日语和中文在内的25种语言，其API目前已在Microsoft Foundry的Azure Speech服务上提供公开预览。

Satya Nadella@satyanadella · 4月2日

We’re bringing our growing MAI model family to every developer in Foundry, including … · MAI-Transcribe-1, most accurate transcription model in world across 25 languages · MAI-Voice-1, natural, expressive speech generation · MAI-Image-2, our most capable image model yet Start building: https://microsoft.ai/news/today-were-announcing-3-new-world-class-mai-models-available-in-foundry/

译MAI 模型家族正式登陆 Foundry 平台，推出三款新模型：MAI-Transcribe-1（支持25种语言的最准确转录模型）、MAI-Voice-1（自然语音生成）和 MAI-Image-2（最强图像生成模型）。开发者现可通过该平台直接调用。

Satya Nadella@satyanadella · 3月30日

Introducing Critique, a new multi-model deep research system in M365 Copilot. You can use multiple models together to generate optimal responses and reports.

译介绍 Critique，M365 Copilot 中全新的多模型深度研究系统。 你可以同时使用多个模型来生成最佳回复和报告。

Satya Nadella@satyanadella · 3月20日

Great to see our new image model from our Superintelligence team rolling out in Copilot and coming soon to Foundry for enterprise customers.

译MAI-Image-2 图像生成模型已在 MAI Playground 上线，竞技场排名第 3，支持从写实风格到详细信息图等多种生成需求。即将集成至 Copilot、Bing Image Creator 及 Microsoft Foundry，面向企业客户开放。

Satya Nadella@satyanadella · 3月15日

We’ve trained a multimodal AI model to turn routine pathology slides into spatial proteomics, with the potential to reduce time and cost while expanding access to cancer care.

译新训练的多模态 AI 模型能将常规病理切片转化为空间蛋白质组学数据，在缩短检测时间、降低成本的同时，提升癌症医疗的可及性。

Satya Nadella@satyanadella · 3月14日

We’re the first cloud to bring up an NVIDIA Vera Rubin NVL72 system for validation, another big step in building the next generation of AI infrastructure with NVIDIA.

译率先完成 NVIDIA Vera Rubin NVL72 系统启动验证，成为首个部署该下一代 AI 基础设施的云平台。

Satya Nadella@satyanadella · 3月6日

Healthcare has never moved faster or asked more of clinicians. At HIMSS, we’re rolling out big updates to Dragon Copilot, including Work IQ to bring the right work context alongside patient data, so there’s less admin busywork and more focus on patients. https://www.microsoft.com/en-us/industry/blog/healthcare/2026/03/05/unify-simplify-scale-microsoft-dragon-copilot-meets-the-moment-at-himss-2026/

译医疗行业从未发展得如此之快，也从未对临床医生提出过如此高的要求。 在 HIMSS 大会上，我们正在推出 Dragon Copilot 的重大更新，包括 Work IQ 功能，以便在患者数据旁提供恰当的工作情境，从而减少行政杂务，让医生能更专注于患者。https://www.microsoft.com/en-us/industry/blog/healthcare/2026/03/05/unify-simplify-scale-microsoft-dragon-copilot-meets-the-moment-at-himss-2026/

Satya Nadella@satyanadella · 3月4日

I’ve been trying Copilot Tasks this week, and it’s awesome to assign tasks (even recurring) in this cowork mode and have them completed end to end autonomously and use Agent mode to refine and iterate on the outputs. A couple of examples ...

译这周我一直在尝试 Copilot Tasks，在这种协作模式下分配任务（甚至是重复性任务）并让它们端到端自主完成，再使用 Agent 模式来优化和迭代输出，这太棒了。举几个例子……

Satya Nadella@satyanadella · 3月4日

Counting down to a new Build in San Francisco. Hope you’ll join us! https://aka.ms/AA101fmo

译倒计时迎接在旧金山举办的新一届 Build。希望你能加入我们！https://aka.ms/AA101fmo

Satya Nadella@satyanadella · 2月24日

Today, I saw firsthand how Dragon Copilot will help physicians across the NHS spend more time on patient care and less on paperwork. The work at @MFTnhs is a powerful example of how tech can be used by clinicians to focus on what matters most. https://news.microsoft.com/source/emea/features/ai-tool-for-clinicians/

译今天，我亲眼见证了 Dragon Copilot 将如何帮助 NHS 的医生们把更多时间花在患者护理上，减少文书工作。 @MFTnhs 的工作是一个有力的例证，展示了临床医生如何利用技术专注于最重要的事情。https://news.microsoft.com/source/emea/features/ai-tool-for-clinicians/

Satya Nadella@satyanadella · 10月10日

Another first for our AI fleet... a supercomputing cluster of NVIDIA GB300s with 4600+ GPUs and featuring next gen InfiniBand. First of many as we scale to hundreds of thousands of GB300s across our DCs, and rethink every layer of the stack across silicon, systems, and software to support next gen AI workloads.

译首座 NVIDIA GB300 超级计算集群投入使用，集成 4600 余块 GPU 与新一代 InfiniBand 网络。这只是开始，后续计划将规模扩展至数十万台 GB300，并重构从芯片、系统到软件的全栈架构，以支撑下一代 AI 工作负载。

Satya Nadella@satyanadella · 10月3日

Our approach to AI infra is simple: build the most fungible and flexible fleet to meet the real world's needs across inference and training as @scottgu shared with @Kantrowitz. And we are already doing it at scale today, as we power the biggest AI workloads like Copilot and ChatGPT, APIs that power 3P products & enterprise workloads and high scale training.

译以构建高流动性、高灵活性的 AI 基础设施集群为核心策略，同时满足推理与训练需求。目前已规模化支撑 Copilot、ChatGPT 及第三方企业工作负载。

Satya Nadella@satyanadella · 10月2日

AI Economics depends on efficient token factories and highly performant agent frameworks that deliver enterprise outcomes! That is why we are excited about Microsoft Agent Framework. You can now build, orchestrate, and scale multi-agent systems in Azure AI Foundry using this framework. It brings together our best-in-class runtime from AutoGen with the enterprise foundations of Semantic Kernel, with compliance, observability, and deep integration out of the box.

译微软发布 Microsoft Agent Framework，支持在 Azure AI Foundry 中构建、编排和扩展多智能体系统。该框架整合 AutoGen 运行时与 Semantic Kernel 的企业级基础，提供开箱即用的合规性、可观测性和深度集成能力。

Satya Nadella@satyanadella · 9月30日

Welcome Grok 4 to Azure AI Foundry!

译xAI 发布的 Grok 4 大模型现已正式入驻 Azure AI Foundry 平台，提供高级推理、实时洞察和增强记忆功能，由 Azure 提供底层算力支持。

Satya Nadella@satyanadella · 9月29日

Vibe work is here with Agent Mode in M365 Copilot. Check out these examples of how Copilot can now orchestrate multi-step tasks.

译M365 Copilot 上线 Agent Mode，可自动编排多步骤任务，正式开启 Vibe work。

Satya Nadella@satyanadella · 9月24日

We’re partnering with @SAP and @OpenAI to bring the latest AI innovation to Germany’s public sector, powered by Microsoft Azure. Together, we’ll help millions of German public sector employees use AI safely and responsibly, while meeting the strictest data sovereignty, security, and legal standards. https://openai.com/global-affairs/openai-for-germany/

译Microsoft 宣布与 SAP、OpenAI 达成合作，基于 Azure 平台向德国公共部门提供最新 AI 技术。该合作将帮助数百万德国公共部门员工在安全、负责任地使用 AI 的同时，满足最严格的数据主权、安全及法律标准。

Satya Nadella@satyanadella · 9月23日

An important breakthrough from our teams: a new approach to liquid cooling that uses microfluidics, opening the door to more efficient, sustainable, and power-dense datacenters than conventional methods. https://news.microsoft.com/source/features/innovation/microfluidics-liquid-cooling-ai-chips/

译微软团队开发出基于 microfluidics 的液冷新方案，较传统方式更高效、可持续，可支持更高功率密度的数据中心，为AI芯片散热提供新路径。

Satya Nadella@satyanadella · 9月23日

Great example of how AI is being used to augment expert knowledge: helping to remove abandoned nets in our oceans. https://unlocked.microsoft.com/ghostnetzeroai/

译Microsoft 借助 AI 技术增强海洋保护专家能力，通过智能识别与定位协助清除海洋废弃渔网（幽灵网），提升清理效率与精准度。

Satya Nadella@satyanadella · 9月23日

For me, our Analyst agent in Microsoft 365 Copilot is like having a skilled data analyst on hand — all the time. It generates insights and helps you visualize complex data. Here's a quick demo on how it can make sense of marketing campaign data and help you get more done at work.

译Microsoft 365 Copilot 的 Analyst agent 可生成数据洞察并可视化复杂数据。演示显示其能解析营销活动数据，帮助用户提升工作效率，如同随身配备专业数据分析师。

Satya Nadella@satyanadella · 9月3日

Our breakthrough work on an analog optical computer points to new ways to solve complex real-world problems with much greater efficiency. Super to see this published today in @Nature. https://news.microsoft.com/source/features/innovation/microsoft-analog-optical-computer-cracks-two-practical-problems-shows-ai-promise/

译微软模拟光学计算机成果今日发表于 Nature，能以更高效率解决复杂现实问题，已验证破解两个实际问题并展现 AI 应用前景。

Satya Nadella@satyanadella · 8月28日

It’s been a few weeks since we brought GPT-5 to Microsoft 365 Copilot, and it’s quickly become part of my everyday workflow, adding a new layer of intelligence spanning all my apps. Here are 5 prompts that show what’s now possible:

译GPT-5 接入 Microsoft 365 Copilot 已数周，深度融入日常工作流并为全应用增加智能层。作者将分享 5 个提示词示例展示新功能。

Satya Nadella@satyanadella · 8月20日

Football season is almost here, and we’re kicking off a new era in our partnership with the @NFL, bringing Copilot and Azure AI Foundry to the game, on and off the field! https://news.microsoft.com/source/features/digital-transformation/the-nfl-and-microsoft-expand-their-partnership-and-introduce-sideline-technology-using-ai-innovation

译微软与 NFL 扩大合作，将 Copilot 和 Azure AI Foundry 引入橄榄球赛事。新技术将覆盖场上场下场景，包括边线 AI 创新应用，为球员、教练和球迷带来全新体验。

Satya Nadella@satyanadella · 8月19日

I just love this. The new =COPILOT() function in Excel lets you analyze, generate content, and brainstorm directly in the grid.

译Excel 新增 =COPILOT() 函数令人惊喜，直接在单元格中调用 AI 分析数据、生成内容和头脑风暴，无需跳出表格即可完成智能操作。