AI Summary
Microsoft has quietly introduced a new family of in-house AI models, with one already integrated into VS Code Copilot. The video highlights the MAI Code 1 Flash model, a fast and cost-effective agentic coding model, and the flagship MAI Thinking 1 reasoning model, which performs competitively in blind tests.
Chapters
Microsoft has built a family of AI models from scratch, covering five areas: image, voice, transcription, coding, and advanced reasoning. One model, MAI Code 1 Flash, is already available in VS Code Copilot.
MAI Code 1 Flash is a small, fast, agentic coding model on par with Haiku. It performed well in testing and comes at a fraction of the cost compared to other models.
The flagship model, MAI Thinking 1, is an advanced reasoning model. In blind testing, most users preferred it over Sonic, and it scores close to Opus 4.6 on benchmarks.
To try the model, open the Copilot model picker in VS Code, switch the active model to MAI Code 1 Flash, and run it on coding tasks. The video encourages users to share their experience in the comments.
Microsoft is expanding its AI capabilities with a new in-house model family, offering developers a cost-effective and high-performing alternative in VS Code Copilot. The MAI models show promise, with the reasoning model already competing well against established benchmarks.
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Study Flashcards (5)
What are the five areas covered by Microsoft's new AI model family?
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What are the five areas covered by Microsoft's new AI model family?
Image, voice, transcription, coding, and advanced reasoning.
00:02
Which model is already available in VS Code Copilot?
easy
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Which model is already available in VS Code Copilot?
MAI Code 1 Flash.
00:02
How does MAI Code 1 Flash compare to Haiku?
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How does MAI Code 1 Flash compare to Haiku?
It is on par with Haiku in performance.
00:16
What is the flagship reasoning model called?
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What is the flagship reasoning model called?
MAI Thinking 1.
00:31
In blind testing, how did MAI Thinking 1 compare to Sonic?
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In blind testing, how did MAI Thinking 1 compare to Sonic?
Most users preferred MAI Thinking 1 over Sonic.
00:31
💡 Key Takeaways
Microsoft's In-House AI Family
Reveals a strategic move to build proprietary AI models across multiple domains, signaling a shift from relying on external providers.
00:02Cost-Effective Coding Model
Highlights a practical advantage for developers: high performance at a fraction of the cost, which could disrupt pricing in the AI coding tool market.
00:16Competitive Reasoning Model
MAI Thinking 1's benchmark scores close to Opus 4.6 show Microsoft's models are becoming serious contenders in advanced reasoning.
00:31Full Transcript
[00:02] models it has built from scratch and one of them is already inside of your VS Code Copilot. This is one in-house family of AI models across five different areas: image, voice, transcription, coding, and advanced
[00:16] reasoning. And the one I want to show you is MAI Code 1 Flash, which you can already use from Copilot inside of VS Code. This is a small, fast, agentic coding model that's on par with Haiku. In my testing, it performed pretty well
[00:31] threw at it, and this comes at the fraction of a cost compared to other models. The flagship model is called MAI Thinking 1, and this is an advanced reasoning model, and in blind testing, Microsoft says that most users preferred
[00:45] it compared to Sonic. Across benchmarks, it scores pretty close to Opus 4.6, and model they released, so I expect the newer ones to catch up significantly
[00:58] faster. So, if you want to try this out, go ahead and open your Copilot model picker in VS Code, switch the active model to MAI Code 1 Flash, and give it a run, and let me know in the comments how it performs on your coding tasks. And if
[01:12] you want to learn more about the new family of models coming from Microsoft AI, I'm going to leave a link in the pinned comment right below, so go ahead pinned comment right below, so go ahead and check it out.
