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Microsoft just made one of the biggest AI announcements of the year at Microsoft Build 2026!

In this video, we break down Microsoft's 7 brand-new in-house AI models, including MAI-Thinking-1, MAI-Code-1-Flash, MAI-Image-2.5, MAI-Voice-2, and more. We also cover Microsoft IQ, Microsoft Scout autonomous AI agents, the new M-Dash security system, and the Majorana 2 quantum computing chip.

Is Microsoft finally moving beyond OpenAI and building its own complete AI ecosystem to compete with Google Gemini, Claude, and ChatGPT?

Watch till the end to discover how Microsoft's latest AI strategy could reshape the future of software development, office productivity, AI agents, and quantum computing.

Subscribe to Alpha Intellect for daily AI news, AI breakthroughs, ChatGPT updates, Gemini updates, Claude AI news, and the latest technology trends.
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Transcript
00:00Microsoft just came and announced that they won't rely on OpenAI anymore.
00:03They released not one, not two, but seven new models.
00:07Not only that, in Microsoft Build 2026, they also announced their new chip.
00:12And we will be covering all these in this video, so stay tuned.
00:15Firstly, let us talk about the models.
00:18Microsoft unveiled seven brand new AI models, all built by their own team, from scratch.
00:23No help from OpenAI, no borrowing from anyone else, fully in-house.
00:28It matters because for years, Microsoft's AI was basically just a wrapper around ChatGPT.
00:33They were the delivery truck, not the factory.
00:36And now they're building the factory.
00:37Here's a quick look on the seven models.
00:39First, we have MAiThinking 1, which is their smartest reasoning model,
00:44and is built for hard problems that need real, step-by-step reasoning.
00:48According to Microsoft, they trained it from scratch with clean and commercially licensed data
00:53without distillation from third parties.
00:55This matters as it not only reduces the legal risk that comes with model training,
01:00but also makes the model independent.
01:02Microsoft has also shown in the benchmark that MAiThinking 1 was preferred over Claude Sonnet 4.6.
01:08They also claim that it matched Claude Opus 4.6 in various coding benchmarks,
01:13including SWE BenchPro.
01:16They have also released a Flash version of the model for speed and efficiency.
01:19Next, we have MAi Code 1 Flash, a model specifically designed for coding.
01:25It's already rolling out inside GitHub Copilot and Visual Studio Code this month,
01:29so if you're a developer, you'll feel this one soon.
01:32With this, Microsoft is not releasing a model into some isolated lab environment anymore.
01:37They are putting it directly in the places where work happens.
01:40Then we have MAi Image 2.5, along with its Flash version that support text-to-image and image-to
01:47-image generation.
01:48This is direct competition to OpenAI's image models.
01:51It's being added to PowerPoint right now, so you'll be able to generate visuals directly in your presentations.
01:57After that, there is MAi Transcribe 1.5, which supports high-accuracy transcription across 43 languages with steaming coming soon.
02:06Microsoft says it's five times faster than what's out there today, which looks great for meeting notes, captions, and anything
02:13like that.
02:14Along with this, Microsoft also introduced MAi Voice 2 with its Flash variant,
02:20which is a voice model that makes AI sound like a real person talking.
02:23This works in over 15 languages and can adapt to a specific voice from just a short audio clip.
02:29With these, it looks very clear that Microsoft is creating the wide AI integration layer for office work, software development,
02:36creative work, reasoning, and many other fields.
02:39Speaking of integrations, the company has also released Microsoft IQ,
02:43which is meant to be the unified intelligence layer that makes co-pilot and agents more aware of the actual
02:48organization they are working inside.
02:50So Microsoft is connecting their entire AI stack together so that the agents and workflows run smoothly without losing context
02:58of what's going in the organization.
03:00Google is also doing the same thing with the Gemini integration in all of their products.
03:04Microsoft has also announced Microsoft Scout, the company's first Autopilot agent, which is built on OpenClaw and works 24-7
03:12for you.
03:12This new category in the Microsoft AI stack is a direct rival of Google's alternative personal agent, which is Gemini
03:19Spark.
03:20Like Gemini Spark, Microsoft Scout also enables agents that work on the background, work autonomously, have their own identity,
03:27and act on your behalf under the policies you or your organization have set.
03:31The own identity part is very important as Scout does not operate as some anonymous shared service account.
03:37Here, every agent works under its own governed identity, meaning its actions can be traced back to a known actor
03:44in the company directory.
03:45Scout has been integrated inside Microsoft 365 apps and, with your permission, can connect to various resources, including browser and
03:53local desktop resources.
03:55It also improves over time with WorkIQ.
03:57The idea is that Scout will be the daily handler of your monotonous routine tasks in the company so that
04:03you can focus on what matters.
04:04For developers, Microsoft has also introduced codename Emdash, which is humorously named from AI models' tendency of using Emdashes.
04:13The product is a multi-model agentic security system that deploys more than 100 agents to search for exploitable bugs
04:20in code.
04:20So Microsoft is not just using agents for Officeworks, they are also using it for software security,
04:26and this makes the product a direct competition of Anthropic's Claude Mythos, the notorious cybersecurity model.
04:32We have made a video on it, feel free to watch it after this video, link will be in the
04:36description.
04:37Coming to the last one, they also announced their new quantum computing chip, which is Majorana 2.
04:42And we know that quantum computing sounds intimidating, so let's break it down simply.
04:47Basically, quantum computers are ultra-fast supercomputers that can perform a normal supercomputer work thousand times faster.
04:54They can do that because they use qubits, which can simultaneously work with one and zero unlike normal bits, which
05:01works one at a time.
05:02The problem is that qubits have always been fragile.
05:05They fall apart in seconds, which is why quantum computers are still mostly stuck in labs.
05:10But with Majorana 2, Microsoft made qubits thousand times more stable than their previous chip.
05:15They now last an average of 20 seconds, some even a full minute, which is a massive leap.
05:20Their goal is to make a commercially usable quantum computer by 2029.
05:25And that's how Microsoft shocked the entire world in their Build 2026.
05:29They are not just wrapping themselves around OpenAI anymore and are building their own AI stack for their ecosystem like
05:36Google.
05:36If you found it valuable, kindly like, subscribe, and comment your thoughts on this.
05:40We also have other channels. Feel free to check them out. All links are in the description and this channel's
05:46homepage.
05:47And for more AI updates, follow Alpha Intellect.
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