RT Mustafa Suleyman: http://x.com/i/article/2082599969555615744

MAI-Image-2.5-Pro launches today in Foundry for preview. It's our highest-fidelity, professional-grade image model. It’s for super high quality image...

MAI-Voice-2-Flash launches today! Flash is 2x faster than MAI-Voice-2 and 32% cheaper, at $15 per 1M characters. MAI-Voice-2-Flash is also in public p...

As @satyanadella says, we're making great progress on shipping MAI models that are higher quality, faster and cheaper across MSFT. In PowerPoint, our ...

RT Microsoft AI: Say how you feel. Get a poem that meets you there. Ode connects you with a poem for your moment. Guided by William Sieghart. Powered ...

Shaping our culture at Microsoft AI is one of the most important responsibilities I have. Keeping our team lean and talent dense is critical to our su...

MAI-image-2.5 is new at #2 for text-to-image and #3 for image editing on @ArtificialAnlys! We’re second now only to GPT models. Also, MAI-Image-2.5-F...

Great result for the team!

RT Satya Nadella: Copilot Cowork is now generally available worldwide, now with multi-model support! Every organization can put long-running agents to...

Great post by @satyanadella summarizing how we see this historic platform shift benefiting everyone broadly. @MicrosoftAI

Agreed. We have to be very careful about this. I published an article in @Nature recently making similar arguments. https://mustafa-suleyman.ai/we-mus...

Had a great chat with Nilay Patel / Decoder about 7 new models we launched last week. Covered lots of important topics, from growing social angst, to ...

RT Satya Nadella: Great to see NHS England scaling Microsoft 365 Copilot to more than 500,000 staff. In early trials, staff saved an average of 43 min...

.@ArtificialAnalysis’ graph shows that MAI-Transcribe-1.5 is in a league of its own

.@ArtificialAnalysis’ graph shows that MAI-Transcribe-1 is in a league of its own

Build was super fun! Here's a video recap of my presentation. Check it out: https://www.youtube.com/watch?v=OvLIae4HCeM&list=PLFPUGjQjckXFTeXFcS8rg19o...

There are no shortcuts to the frontier. Disciplined, patient, meticulous attention to detail is critical. To give everyone a good sense of our progres...

It’s time to move from renting intelligence to truly controlling your AI. Microsoft Frontier Tuning lets you take our models and make them uniquely y...

So proud of the team today. Six months of super intense and outstanding work. I was honored to stand up and rep the work of the @MicrosoftAI lab at Bu...

RT Microsoft AI: Re MAI-Image-2.5 and MAI-Image-2.5-Flash are live in Foundry and @OpenRouter Try them in the MAI Playground: https://msft.it/6010vjlA...

RT Microsoft AI: Re MAI-Image-2.5 is rolling out in OneDrive Photos, helping users remove distractions, clean up backgrounds, and enhance photos witho...

RT Microsoft AI: Re MAI-Image-2.5 is strong where image models usually break: identity, text, lighting, backgrounds, and clean edits. Here’s where it...

RT Microsoft AI: MAI-Image-2.5 is here — now #3 on text-to-image and #2 on image-to-image Arena leaderboards, surpassing Nano Banana Pro. Leading ima...

RT elie: microsoft MAI tech report is a gold mine, one of the most transparent for a model at this scale. this model uses zero synthetic data or disti...

Today’s news all comes down to this: we’re putting our relentless hill-climbing machine at your service. From launching top tier models to helping y...

Proud that we’re collaborating with Mayo Clinic to build a frontier AI model for healthcare. Both our organizations exist to serve people at scale –...

RT Satya Nadella: Great to be back at Microsoft Build today. For us, it is not about any one piece of technology or even the platform. It is about how...

RT OpenRouter: Re MAI-Image-2.5: leading image generation and precise editing. #3 on text-to-image and #2 on image-to-image on the @arena leaderboard....

RT OpenRouter: Three new @MicrosoftAI models now live on OpenRouter! Launching together: MAI-Image-2.5, MAI-Transcribe-1.5, and MAI-Voice-2. More on e...

RT Arena.ai: MAI-Image-2.5 ranks #2 in the Image Edit Arena and advances the Pareto frontier. That means: at its price tier, no model scores higher on...

RT Microsoft AI: Seven new models launching at Build: let’s go! Reasoning. Code. Image. Transcribe. Voice. Built from scratch on a clean data lineage...

Awesome to have on you stage @steipete ! What an exciting time

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 ...

RT Microsoft AI: Humanist superintelligence. The kind of AI worth building. https://msft.it/6014vj6q4 #MSBuild

RT Tuhin Srivastava: Today we're announcing MAI-Thinking-1 with Microsoft and it will be available on Baseten soon. Microsoft built something genuinel...

RT Baseten: Today, Baseten and @MicrosoftAI are excited to announce that MAI-Thinking-1 is coming to Baseten. MAI-Thinking-1 is a model you can fine-t...

Here we go! Tune in for the #MicrosoftBuild keynote starting now. I’m biased but you won’t want to miss it… https://www.youtube.com/watch?v=FFMm454...

One last run-through before Build tomorrow when I can finally share what we’ve been up to in the lab. Livestream starts at 9:30 am PT, and you can re...

RT Microsoft: Loud and clear. #MSBuild kicks off on June 2.

RT Arena.ai: Exciting news, MAI-Image-2.5 (Preview) from @MicrosoftAI debuts at #3 in the Text-to-Image Arena with a score of 1,254 — a +72 point imp...

Little thought experiment to put AI chip improvements in perspective: Imagine that every person on Earth uses a calculator to perform one calculation ...

RT Luiza Jarovsky, PhD: 🚨 Anthropomorphizing AI and attributing consciousness to AI systems can be dangerous and should NOT be encouraged by AI com...

Since I began work on AI in 2010, training compute for frontier models has grown by one trillion times.

Now we're looking at something like another thousand-fold growth in effective compute by the end of 2028.

1000x the existing 1,000,000,000,000x.

Extraordinary stuff.

RT @MicrosoftAI: MAI-Voice-1 exports flawless audio in record speed. Can you tell the difference between the real recording and our model?…

Our paper landed in Nature Health today!

Healthcare is one of the most high-stakes, high-potential applications of AI. So we set out to understand how people actually use it in our AI products today.

https://t.co/Bqup7eb3Ic https://t.co/mvp6OYfury

RT @satyanadella: Our Fairwater datacenter in Wisconsin is going live, ahead of schedule.

As the world’s most powerful AI datacenter, it w…

Two models, two different parts of the creative process.

MAI-Image-2-Efficient is a production workhorse. Volume, speed, tight cost control for iterative workflows.

MAI-Image-2 is a precision tool. Highest fidelity, final deliverables, exact details, longer/more complex text. https://t.co/v6SEA4Ockg

Meet MAI-Image-2-Efficient.
Production-ready quality, 22% faster, and 4x more efficient than MAI-Image-2. Priced almost 41% lower too.
Plus 40% average lower latency than other leading models.
Live now in Microsoft Foundry + MAI Playground. https://t.co/1Z0IKfytwV https://t.co/UKLm5FQzxx

RT @MicrosoftAI: MAI-Voice-1 sets a new bar for natural, expressive speech generation. Can you tell which voice is synthetic and which is h…

We're not hitting an AI ceiling. Here's why the AI scaling skeptics are wrong.

Exponentials help us understand everything that's going on in AI. For thousands of years, we lived in a linear world. Two apple trees produced about twice as many as one did. Walking half as far took half as long. AI broke that mold - and our imaginations haven't yet evolved to catch up.

Since I began work on AI in 2010, the amount of training data that goes into frontier AI models has grown by one trillion times. It's taken us from models that can sometimes identify cars in photos to models that can act autonomously for up to 12 hours at a time, using different apps, taking actions.

It's an exponential explosion. Now consider that we're looking at something like another 1000x in effective compute by the end of 2028.

Moore's Law, exponential itself, can't even keep up. Training a language model that took 167 minutes on 8 GPUs in 2020 now completes in under 4 minutes on equivalent modern hardware. That's a 50x improvement, when Moore's would predict only 5x.

Skeptics who keep predicting these "walls" AI will hit often point to a slowing of Moore's law, when in fact, Moore's law seems to be underestimating what's possible. Sometimes they point to energy constraints. Meanwhile, solar costs have fallen nearly 100x over fifty years; battery prices have dropped 97% over three decades. There is a pathway to clean scaling coming into view.

Impressive stats aside, what does this mean for us?

It means we're standing at the precipice of cognitive abundance. Previously impossible benefits in sight if not already within reach, from new healthcare cures to scientific breakthroughs. That's the world our superintelligence lab is planning for and proactively building.

I hope all of us start reimagining what might be possible, and how fast. What do we want that world to look like? It'll be here sooner than we think.

More thoughts here: https://t.co/LyGfdjr5x6