With the new MAI models and Frontier Tuning capabilities we announced today, we're focused on helping every company move from just consuming a frontier model to fully participating at the frontier.

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Very cool Satya but I think I speak for a lot of hardcore devs, we're not coming back to Windows until you stop trying to hijack our data at every point and turn, and do crap to have us subscribe to MS accounts, and keep chiseling away control from our own computers and OS. Your Windows install experience is also complete dogshit. Go through it yourself. Then install Mint Linux or Omarchy. Windows a steaming pile of crap compared to those.

Renting generic APIs was always just a temporary bridge to enterprises actually tuning and running their own models. ⚡️

Love the 'hill-climbing' aggression. But when deploying these systems to an enterprise, the bottleneck isn't capability anymore. It's token cost and data governance. 📈 If Frontier Tuning drastically lowers the cost-per-reliable-output for agentic workflows, that's the real moat. Until then, it's just more expensive computing.

@Coskun_Murat Here is a nice visualization of $MSFT AI models Made by: @ai_for_success

Congrats, Satya! You’ve always been such an energetic, strong, and positive leader for the world. ⚡️⚡️⚡️

The consuming vs building consideration is the right one. However, you are still consuming if you can only access these models through the Microsoft API.

Do you know what association this colourful logo start triggers in my mind? Woke madness, LGBTQ? About the thing… After @Microsoft trying every possible way to harvest the user's data, why anyone should trust what the company tries to sell to us? Why we should trust you?

The Mayo Clinic structure is the move worth tracking. Mayo owns the model, not Microsoft. That ownership clause changes how regulated-vertical AI deals get negotiated from here.

You have 228,000 employees and not one of them can tell you what's wrong and horrendous about your OS. I'd do it for free in 1 hour - just for the worst offenders. Because if I went through everything it would take days. And the issue is not so much the OS, as the idiots working for you making it bitrot dogshit. The people fucking up something certainly won't be the ones fixing it.

Microslop

That puts Azure in a very strong position in enterprise AI transformation, even if AWS still leads infrastructure and Google leads research.

Looks like a real boost for enterprise AI ownership

Sir, you didn’t just launch models — you just democratized moat-building. Most are renting frontier intelligence. With MAI + Frontier Tuning, every Indian startup can now own it using their own messy, real-world data. India’s secret weapon? 1.4 billion people creating proprietary data every second from UPI transactions to farm sensors to vernacular voice.This isn’t AI adoption. This is AI sovereignty at population scale.Bharat isn’t catching up anymore. We’re about to lap the world.Who’s tuning their first domain model this quarter? #MicrosoftAI #BharatAI #AISovereignty

Hey Satya Something is seriously messed up. Just a heads up Sure as hell it isn’t me. Have no interest in pointing fingers while alive. Take it. Don’t leave it. That lil boat abandoned us all.

this feels like a big step toward making frontier ai more useful for every company, not just the few building the models.

Agents at the ready powering businesses and accelerating efficiency!

Exciting to see more companies getting access to frontier-level tuning. How do you envision this changing the workflow for smaller teams?

Scam

I can help by adding my Frontier Validation Layer to👇 How do we know the model is actually getting better?

The focus on enabling broader participation at the frontier reflects how quickly the AI ecosystem is evolving.

Interesting framing, but the real frontier is when companies can run these models on their own hardware Always feels like we’re one step closer to actual digital sovereignty, but I’ll believe it when I see the open weights

racist CEO PEDOSOFT

"lead with the news, link the details. what's actually changed?"

You model is not frontier and copilot is by far the most expensive slop generator in the entire market. The next cheaper agentic service is 50 times cheaper per token and still considered every expensive.

Frontier Tuning is where the conversation gets real. I’m way more interested in this than another round of AI buzzwords. Practical enterprise implementation is what actually matters.

The bottleneck isn't just about cost, it's also about ensuring those models don't spread misinformation or harm society, even with Frontier Tuning.

@openingai_com Being safe, self-adjustable is crucial.

Reading this as a solo builder, the gap is data. Owning your intelligence assumes you have proprietary workflow traces to tune on. Enterprises do. I dont. So I get leverage from context and good prompting on top of frontier models, not from tuning. Curious if that gap narrows.