---
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title: 'Modern Post-Training: A Deep Dive — Will Brown, Prime Intellect'
description: >-
  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 --- Watch along with the corrected transcript, summary, timestamps
  and resources on this talk's official AIE page:
  https://ai.engineer/talks/V-EDrhIhHzQ-modern-post-training-a-deep-dive-will-brown-prime-intellect
  Join our upcoming AI Engineer conferences (see https://ai.engineer landing
  page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs
  and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference
  returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS
  2026 in Sydney ---
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updated: '2026-10-24T07:51:15.922Z'
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---


# Modern Post-Training: A Deep Dive — Will Brown, Prime Intellect

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 --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/V-EDrhIhHzQ-modern-post-training-a-deep-dive-will-brown-prime-intellect Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Canonical: https://liquidgold.cc/channel/aidotengineer/explore/video/modern-post-training-a-deep-dive-will-brown-prime-i-1e0e7d6cbbe1 · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md)

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