Microsoft's AI Frontiers Research Group Is Gone - and Its Founder Left With It

Microsoft's flagship AI research group is finished. John Langford, the Microsoft Research leader who helped create AI Frontiers, announced on November 6 that he has left the company - and that the group itself is over.

The roughly 50-person team behind the AutoGen agent framework and the Fara computer-use agent was folded into Microsoft AI in early September. Langford says the two groups simply could not work together: one was built for research, the other for scaling.

What Langford said

In a post titled "The End of AI Frontiers" on his blog Machine Learning (Theory), Langford explained that the group was set up inside Microsoft Research after ChatGPT launched, to run research in a more coordinated way.

Microsoft AI, led by former Inflection executives, centres on scaling - bigger models, better training data, longer training runs - and Langford says that made the two groups incompatible.

He writes that he placed his team members as best he could and left, that every other founding AI Frontiers leader reached a similar conclusion, and that there will be no AI Frontiers internships next year. Microsoft has not commented publicly.

What the group built

AI Frontiers, formed in 2023, worked on agents, core models and shared infrastructure. Its best-known work is AutoGen, one of the most popular open-source multi-agent frameworks, and Fara, a computer-use agent.

The team also worked on model research - the Full Bandwidth Transformer, Next Latent and Dion3 - plus an edge-scale pretraining pipeline.

That is what makes this more than an org-chart story. When a research lab closes, the code stays - but the people who understood it leave. Langford considered returning to Microsoft Research, and says he did not go back because research there has no clear path to use.

The scale-versus-research argument

The tension Langford describes is the central argument in AI today: does progress come from bigger models and more compute, or from new ideas? Microsoft AI's leadership has bet on the first answer.

Langford argues research still pays - he points to tests where a Full Bandwidth Transformer variant matched a model twice its size, which would halve training and inference costs.

What happens to AutoGen now

For developers, this is the practical question. AutoGen was already winding down: the last release of autogen-agentchat on PyPI was version 0.7.5 in September 2025, and on October 16 a change to the AutoGen repository stated plainly that "Microsoft is not providing bug fixes, security fixes, new features, or support for this project."

The Fara repository is MIT-licensed and not archived, with its last push in September. But with the research group around them gone, anyone building on these frameworks should plan as if support is finished - because, by Microsoft's own README, it already is.

A vendor's org chart is part of your AI stack. Agent frameworks can lose their team overnight - and this week is a reminder to stay model-agnostic and check who is actually maintaining the code you depend on.

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