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Sam Lehman: What the Reinforcement Learning Renaissance Means for Decentralized AI

The Delphi Podcast

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Decentralizing Reinforcement Learning

This chapter discusses the role of reasoning traces in reinforcement learning and decentralized AI, emphasizing the necessity of high-quality human-generated data. It introduces the concept of 'gym' environments for generating diverse training experiences and highlights the need for robust verification methods. The conversation advocates for an open platform that promotes experimentation and collaboration, encouraging a shift toward autonomous data generation and model optimization.

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