# Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann

Page: https://stenobird.com/podcast/training-data/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann
Text version: https://stenobird.com/podcast/training-data/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann.md
Podcast: [Training Data](https://stenobird.com/podcast/training-data)
Published: 2026-02-10T07:00:00+00:00
Episode link: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI8352076279.mp3
Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI8352076279.mp3
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JSON: https://stenobird.com/v1/public/podcasts/training-data/episodes/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann
Duration seconds: 2685

## Resource

Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to "environment-based" AI development, and their Environments Hub, a platform designed to democratize frontier-level training. The conversation highlights a major shift: AI progress is moving toward Recursive Language Models that manage their own context and agentic RL that scales through trial and error. Will and Johannes describe their vision for the future in which every company will become an AI research lab. By leveraging institutional knowledge as training data, businesses can build models with decades of experience that far outperform generic, off-the-shelf systems.Hosted by Sonya Huang, Sequoia Capital

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## Transcript

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