
Johannes Hagemann
Researcher and co-founder at Prime Intellect contributing to the Lab platform and Environments Hub, specializing in environment design, evaluation frameworks, and developer-facing RL tooling.
Top 3 podcasts with Johannes Hagemann
Ranked by the Snipd community

126 snips
Feb 10, 2026 • 45min
Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann
Johannes Hagemann, researcher and co-founder building environment design and RL tooling. Will Brown, AI researcher and co-founder focused on large-scale training infra and post-training workflows. They discuss Environments Hub, environments as evals and product surfaces, harnesses and agent interaction, democratizing frontier training, cybersecurity sims, recursive language models, synthetic data, and companies becoming AI research labs.

95 snips
Feb 5, 2025 • 2h 16min
Distributed Training, Decentralized AI: Prime Intellect's Master Plan to Make AI Too Cheap to Meter
Vincent Weisser and Johannes Hagemann, co-founders of Prime Intellect, share their vision for decentralized AI, aiming to make intelligence widely accessible. They discuss the technical challenges of distributed training, which can democratize AI technology. With a focus on pandemic preparedness and public health, they highlight innovative collaborations in biosafety. The conversation emphasizes the need for ethical governance and the balance between regulation and innovation, painting a compelling picture of a future where AI benefits everyone.

Oct 17, 2024 • 1h 33min
Decentralized AI Training: Can It Dismantle Centralized Powerhouses? | Crypto x AI Event
In this engaging discussion, Travis Good, Dillon Rolnick, Johannes Hagemann, and Ben Fielding, leading experts in decentralized AI, explore the potential of open-source AI to challenge tech giants. They delve into the feasibility of decentralized training, the economic benefits of collaborative models, and the critical governance challenges faced by such systems. The conversation highlights how decentralization could disrupt existing power structures, enhance market competition, and revolutionize user interactions in a trustless economy.


