Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann
Tech Talks
Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann
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 00:00 Introduction 01:50 Understanding Frontier Lab Training and RL Hub 02:53 The Importance of Customization in AI Models 04:36 Harnessing the Power of Environments in AI 23:14 Evaluating Data Quality with Reinforcement Learning 24:17 Constructing Realistic Cybersecurity Environments 25:12 Designing Efficient Simulation Environments 29:04 The Role of Human Data in Model Training 33:29 Future Research and Vision
- Category
- Tech Talks
- Release date
- February 10, 2026