Microsoft AI

What does it take to build coding models that meet developers where they work? Go behind the scenes with Microsoft AI to explore how we build and optimize code. From training and evaluation to performance, safety, and real-world developer feedback. https://msft.it/6040viG1E

Fun fact – the images announcing MAI-Image-2.5 - our image generation and editing model were generated by the model itself! Strong photo-realism, precise edits, quality down to the fine details. Try it on our Playground: https://msft.it/6042vdFuw or on Open Router and share your favorite images on this thread

Inside one of the fastest growing AI labs in the world, a small team has been hard at work. Reasoning. Code. Image. Voice. Transcription. 7 new models. Grounded in science and built on clean, commercially safe data. Designed to work seamlessly together. ICYMI, watch Mustafa Suleyman's keynote at #MSBuild 2026 https://msft.it/6046vdkbi

Humanist superintelligence. The kind of AI worth building. https://msft.it/6043vj6SF #MSBuild

Our goal is Humanist Superintelligence — AI designed to serve people, not replace them. Today at Build we show you the first models built toward that mission. Watch live now → https://msft.it/6045vbNa3 #MSBuild

✨ For 25 years, SharePoint has been at the center of how Microsoft employees collaborate, communicate, and manage information across the enterprise. This Inside Track story shares how that journey has evolved from on‑premises deployments to the cloud, and now into a foundation for AI‑powered and agent‑driven experiences. It highlights practical lessons in governance, data management, and scaling collaboration tools over time. Read the full story: https://msft.it/6047vrn5S #Microsoft365 #SharePoint #ITLeadership #DigitalTransformation

Which one is which? Drop your best guess. Try it today. https://lnkd.in/gqr3eFcp

Shutterstock recently evaluated MAI-Image-2-Efficient, the latest model from Microsoft AI. That moment reflects a broader shift happening across AI right now. As more high-quality and niche models enter the market, the challenge is no longer just building them. It’s understanding how they actually perform in real-world workflows and where the next level of differentiation is coming from. From our evaluation work, one thing is becoming clear: performance is defined not only by what a model can generate, but also by what teams can use it for. Here’s our perspective after evaluating Microsoft’s latest model: "Microsoft Image 2 Efficient shows strong progress in prompt fidelity and creative usability across a range of workflows. In our evaluation work, we look closely at how well models translate intent into consistent, production-ready outputs, and this model is trending in the right direction. That level of reliability is what ultimately matters when teams move from experimentation into real-world use." — Vanessa Salvo, Principal Product Manager, Shutterstock We unpack this more in our latest piece on what actually matters when evaluating AI models for production. Check it out here: https://lnkd.in/ehmtCPdK #AI #GenerativeAI #ModelEvaluation #AIInfrastructure

MAI-Voice-1 exports flawless audio in record speed. Can you tell the difference between the real recording and our model? Drop your best guess. Try it today. https://lnkd.in/gVnCq_Ff