Kyle Corbitt

Kyle Corbitt, co-founder and CEO of OpenPipe, discusses the shift from fine-tuning to reinforcement learning in AI. He highlights that many AI projects fail not due to capability, but reliability issues that can be resolved through continuous learning. Kyle introduces RULER, a system that simplifies reward assignment using LLMs to judge agent behaviors. He also critiques the impracticalities of GRPO and emphasizes the importance of realistic training environments for AI agents. Finally, he shares insights on the future of continual learning and serverless RL.