Copilot Notebooks just got a big upgrade—and more of your team can use them 👀 Now rolling out to Copilot Chat users, giving everyone a shared AI workspace to pull in files, ask questions, and build study guides & mind maps 🧠📊

A tutorial video showing 6 new Microsoft Teams Assignments features for Teachers. Updates include: ✨ Set expected AI use guidelines 🎯 Attach Standards in Assignments 🧩 Learning Zone integration ➕ Lots more YouTube 📺 youtu.be/nlR8pwKar90?si=Gt7e…

🛠️ Rolling out Microsoft 365 Copilot? This Microsoft Learn guide covers recommended configuration settings to help IT admins optimize setup and support a smoother deployment. Read more: msft.it/6012veLww #Microsoft365Copilot #ITAdmins #EnterpriseIT

Microsoft is killing it with the IQ layer. Work IQ. Fabric IQ. Foundry IQ. Web IQ. This is how agents get real context: people, business data, enterprise knowledge, apps, files, Dataverse, and the web. The companies that understand context will win the agent era. Microsoft gets it. What IQ does your agents use ?

Introducing Microsoft Scout: Your always-on personal agent • A new category of agents called Autopilots • Introducing Microsoft Scout • Integrated across the Microsoft 365 apps you use every day • Enterprise compliance and control See more → msft.it/6013vjSKH

Work IQ is where it’s at. Most people don’t yet realize just how powerful this is for companies that use the M365 ecosystem. This is our AI “secret sauce” 👨‍🍳

Want to power your apps and agents with Work IQ? The Work IQ APIs are here. Learn how: msft.it/6011vjFOH

Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It’s a 35B active parameter MoE with a 256K context window. Independent human raters on Surge prefer it for overall quality in blind side-by-sides versus Sonnet 4.6, and it’s achieved 97% on AIME 2025, the key measure of its general-purpose reasoning abilities. - It's at 53% on SWE Bench Pro, placing it right alongside Opus 4.6 on one of the toughest coding benchmarks. - And since we co-designed our models with our own silicon, MAI-Thinking-1 is optimized on our MAIA 200 chip. Benchmarking head-to-head against the GB200, we see 30% better performance per dollar as well as a 1.4x performance-per-watt gain when running our MAI models on the MAIA 200 end-to-end. Next is MAI-Image-2.5 and its Flash variant. Two super strong models now at #2 on the leaderboards, surpassing the score of Nano Banana 2 on image editing. Last for now is MAI-Code-1-Flash, our new inference efficient coding model, especially tuned for VS Code and GitHub Copilot CLI. - Code-1-Flash achieves 51% on SWE Bench Pro, despite having just 5B parameters, putting it closer to Haiku in size but cheaper in cost. All of this is the foundation for Microsoft Frontier Tuning. It lets you customize our models to create custom, company-specific agents that only you control. You can make our model, your model. Your data. Your agents. Your moat. Early adopters are already seeing a difference. When we tuned our models for McKinsey’s tasks, MAI delivered the highest win rate, outperforming GPT-5.5 on quality, while being 10x lower on cost. Also really excited to be collaborating with the amazing team at Mayo Clinic to jointly train a new frontier AI model for healthcare. Our announcements today mark another milestone on the road to humanist superintelligence. You can learn more and about our other new models in our latest blog: microsoft.ai/news/building-a…

New feature in Excel Copilot: Personalization Customize Copilot to follow the patterns and practices you use. These preferences run with every prompt. Excel MVPs, what would you add? Center Across Selection top of the list?