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