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The RL Fine-Tuning Playbook: CoreWeave's Kyle Corbitt on GRPO, Rubrics, Environments, Reward Hacking

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis · 1 MAY 2026 · 107 min

Kyle Corbitt, founder of OpenPipe and leader of CoreWeave's serverless training team, provides a master class on reinforcement learning (RL) and custom fine-tuning for AI models. He explains how RL differs from supervised fine-tuning (S…

Reinforcement Learning Supervised Fine-Tuning Catastrophic Forgetting GRPO Algorithm LLM-as-Judge Model Distillation Compute Constraints Recursive Self-Improvement RL Environments Reward Hacking LoRA Adapters Continuous Learning Model Latency Inference Cost Metacognitive Behaviors

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The RL Fine-Tuning Playbook: CoreWeave's Kyle Corbitt on GRPO, Rubrics, Environments, Reward Hacking