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

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

From Training Data by Sequoia Capital

February 10, 2026 · 45 min

About this episode

Will Brown and Johannes Hagemann discuss the future of AI development and their platform aimed at democratizing training environments.

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

People in this episode

Host: Sonya Huang

Guests: Will Brown, Johannes Hagemann

Topics covered

  • AI development
  • Reinforcement Learning
  • technology democratization
  • Recursive Language Models
  • business innovation

Keywords

  • AI
  • Reinforcement Learning
  • environment-based AI
  • Recursive Language Models
  • training data
  • business AI

Mentioned in this episode

Organizations: Prime Intellect, Sequoia Capital

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