https://video.ut0pia.org/videos/watch/79bd5665-95e5-414d-82a6-0e08d9f338d6 Deep dive into Prime Intellect's open-source ecosystem of post-training tools, including the verifiers and prime-rl libraries, as well as the Lab platform for self-serve training and inference. Speaker: Will Brown — Research Lead, Prime Intellect Will Brown leads Applied Research at Prime Intellect and builds open research infrastructure to enable every company to train, deploy, and self-improve their own frontier agentic models. He holds a PhD in Computer Science from Columbia University. X: https://x.com/willccbb LinkedIn: https://www.linkedin.com/in/willcb/ GitHub: https://github.com/willccbb Website: https://willcb.com TImestamps 0:00 Introduction and Overview of Prime Intellect 4:20 Defining the Environment in Post-Training 9:33 Decomposing Environments: Tasks, Harnesses, and Runtimes 12:46 Verifiers V1: The New Modular Pattern 17:46 Rewards, Metrics, and Group-Level Rewards 20:25 Tooling, User Simulators, and MCP Integration 22:00 The Interception Server Pattern 24:13 Trace Graphs and Handling Tokenization 25:35 The Renderers Library for Chat Templates 29:20 Primaril: Asynchronous Reinforcement Learning 38:02 Customizing Training Algorithms and Losses 42:35 The Lab Platform and Hosted Training Tue, 14 Jul 2026 20:01:43 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/79bd5665-95e5-414d-82a6-0e08d9f338d6 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.