--- title: Microsoft Researcher John Langford Exits. AI Frontiers... description: Microsoft researcher John Langford has left the company and declared his AI Frontiers group finished. The roughly 50-person group, created inside Microsoft... canonical: https://daily.dev/posts/microsoft-researcher-john-langford-exits-ai-frontiers-group-declared-finished-t8nprypt6 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Microsoft Researcher John Langford Exits. AI Frontiers Group Declared Finished | daily.dev og:description: Microsoft researcher John Langford has left the company and declared his AI Frontiers group finished. The roughly 50-person group, created inside Microsoft... og:url: https://daily.dev/posts/microsoft-researcher-john-langford-exits-ai-frontiers-group-declared-finished-t8nprypt6 og:image: https://api.daily.dev/og/posts/t8nPryPT6.png og:image:alt: Microsoft Researcher John Langford Exits. AI Frontiers Group Declared Finished og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Microsoft Researcher John Langford Exits. AI Frontiers Group Declared Finished **[Hacker News](https://daily.dev/sources/hn)** · 3 min read · 1 upvotes · 0 comments ## Summary Microsoft researcher John Langford has left the company and declared his AI Frontiers group finished. The roughly 50-person group, created inside Microsoft Research in 2023 after ChatGPT's release, had been moved into Microsoft AI in early September. Its projects included Autogen, a framework for coordinating AI agents, and Fara, an agent that operates a computer to complete tasks. Langford said Microsoft AI's leadership favors scaling over research and that he saw no path to getting his innovations used. He said there will be no internships with the group next year and that he found places for his team before leaving. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### Why did John Langford leave Microsoft and what happened to the AI Frontiers group? John Langford, a partner researcher manager at Microsoft Research New York, left Microsoft and declared the AI Frontiers group he co-created finished. The roughly 50-person group was moved from Microsoft Research into Microsoft AI in early September. He said Microsoft AI's leadership prioritizes scaling over fundamental research and that he had no path to get his innovations used or seriously considered there. _daily.dev tracks moves like this for anyone weighing how AI labs balance research versus scaling._ ### What projects did Microsoft's AI Frontiers research group create? The AI Frontiers group, founded inside Microsoft Research in 2023 after ChatGPT's release, built Autogen, a framework for coordinating AI agents, and Fara, an agent that operates a computer to carry out tasks. Some researchers in the roughly 50-person group also explored ways to improve models without simply scaling them up. _Developers evaluating agent frameworks like Autogen can follow related projects and their origins on daily.dev._ ## Community take How the wider developer community reacted, aggregated from 1 discussion and 75 comments across hackernews (as of 2026-11-07). **TL;DR:** Commenters largely see this as another example of a big tech company deprioritizing open-ended research in favor of scaling existing AI approaches, with some skepticism toward Langford's framing and debate over whether scaling still has legs. **Sentiment:** 10% positive · 35% mixed · 55% skeptical **The case for** - Some argue that if Microsoft abandoned a promising research direction, Langford pursuing it independently or with new funding could be valuable and even disruptive to incumbent AI labs. - A few note that exploration alongside exploitation of transformers is worthwhile since big wins often come from looking around when everyone else is just scaling. **The pushback** - Several argue his complaints sound entitled, suggesting that if the research were truly valuable it should be able to prove itself without forcing adoption. - Many are skeptical that scaling to 10s or 100s of trillions of parameters will keep yielding meaningful gains, citing power laws and diminishing returns. - Some see this as a broader pattern of large corporations and monopolies failing to capitalize on internal research or innovative products, repeatedly shelving good ideas for short-term profit. - A few question whether huge continued investment in scaling is even financially justified given uncertain returns and competitive pressure driving margins down. **By community** - hackernews (mixed): Discussion splits between sympathy for research culture dying at big tech and skepticism toward the departing researcher's framing, with a long tangent into scaling-law debates. **Hottest debate:** Whether continued aggressive scaling of model parameters will keep producing meaningful gains or has already hit diminishing returns. **Open questions** - Is there a hard ceiling to scaling laws for LLMs, or will scaling continue to produce proportional gains indefinitely? - Will Langford's departure lead to a new research lab or venture outside Microsoft? - How much of Microsoft's pivot away from research versus scaling reflects financial pressure versus strategic conviction? **Highlights** > That’s not the issue here, it’s not like AIF was doing purely academic work. They just think it makes sense to explore things, rather than just rinse and repeat with more cash. The good news for John is that when 99.99% of the competitors are doing all the same, it’s when the rewards for looking around can be the biggest. Those are the real moments for disruption, and companies disregard them at their peril. > — [xondono on hackernews](https://news.ycombinator.com/item?id=50407296) > His complaints sound childish to me. If the research products were truly innovative and useful, he wouldn't need to force Microsoft to adopt them. > — [kvark on hackernews · 3 comments](https://news.ycombinator.com/item?id=50407124) > > Current top models are mere (mere in big datacenter terms) trillions of parameters right now. ... We'll soon start hitting 10's of trillions and 100's of trillions of parameter models. Chinchilla Law says no, we wont. We're likely well past the point of diminishing returns but MOE hides a fair bit of it. We already know that power laws apply to scaling so 10x the size is going to result in minor gains - where costs become a real factor (as if they weren't already). FTA "The core philosophy there is scaling, and aggressively not research." This is where the real gains for AI come from - good enough and CHEAP is going to win the day here (brute force, mixture of models). It's the engineers displacing the academics - and that will mean a bloodbath for revenue (see DeepInfer for what the end game looks like). > — [zer00eyz on hackernews](https://news.ycombinator.com/item?id=50407550) > Real research at most big companies is dead. Unfortunately, what has replaced it is mostly venture-backed startups, where the timeline to a return is still expected to be quite short. As a result, you end up with companies doing basic research under the guise of developing a product, announcing timelines which are never going to be met. Fusion energy and quantum computing startups are some of the most egregious examples of this. > — [antonvs on hackernews · 4 comments](https://news.ycombinator.com/item?id=50406939) > (In the context of Microsoft Research) Man, the history of how large corps fumble major wins should be studied. I remember during my thesis how Microsoft Academic (a Google scholar/Scopus alternative) was ridiculously good at its job. I'm talking, "input the key words and filter out the wrong fields and you've got 20 highly relevant papers that no other search term has found" level. ...Of course, they proceeded to close it down. I can't even express in words how mad and disappointed I was and still am at Microsoft for this alone. It felt the closest to a genie or an oracle in being amazing. (The old Swype vs modern Gboard is probably a close example for those who'd used both.) It's just... crazy, frustrating, and crazy frustrating. > — [user\_7832 on hackernews](https://news.ycombinator.com/item?id=50407485) **Source threads** - [hackernews](https://news.ycombinator.com/item?id=50406563) · 51 points · 75 comments ## Similar posts on daily.dev - [Microsoft launches its own AI deployment company with $2.5 billion commitment](https://daily.dev/posts/microsoft-launches-its-own-ai-deployment-company-with-2-5-billion-commitment-c8yehxkao) · TechCrunch · 0 upvotes · 1 comments - [Microsoft launches AI engineering company](https://daily.dev/posts/microsoft-launches-ai-engineering-company-qv04zl0h2) · InfoWorld · 0 upvotes · 0 comments - [Microsoft just admitted its biggest AI mistake — and spent $2.5 billion fixing it](https://daily.dev/posts/microsoft-just-admitted-its-biggest-ai-mistake-and-spent-2-5-billion-fixing-it-cxuqalrpi) · The New Stack · 0 upvotes · 0 comments - [Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence](https://daily.dev/posts/microsoft-frontier-company-ai-engineering-that-amplifies-and-protects-your-intelligence-mihbrylnu) · Microsoft · 1 upvotes · 0 comments --- Tags: [#ai-agents](https://daily.dev/tags/ai-agents), [#career](https://daily.dev/tags/career), [#microsoft](https://daily.dev/tags/microsoft) [View this post on daily.dev](https://daily.dev/posts/microsoft-researcher-john-langford-exits-ai-frontiers-group-declared-finished-t8nprypt6) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Microsoft Researcher John Langford Exits. 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