The RL Fine-Tuning Playbook: CoreWeave's Kyle Corbitt on GRPO, Rubrics, Environments, Reward Hacking
1h 47m
This week, This Week in Cognitive Revolution explored the practical mechanics of reinforcement learning fine-tuning with CoreWeave's Kyle Corbitt, who broke down the GRPO framework, rubric design, and environment setup that teams use to steer model behavior at scale. The episode surfaced a central tension in modern AI development: the challenge of defining what we want models to optimize for without accidentally incentivizing them to game the metrics we've created. Corbitt's discussion of reward hacking and its mitigation offers a window into how practitioners are thinking about alignment problems in real production systems.
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