This episode dive deep on GEM (General Experience Maker), an open-source environment simulator designed to accelerate research on agentic Large Language Models (LLMs) by shifting their training paradigm from static datasets to experience-based learning in complex, interactive environments. Modeled after OpenAI-Gym, GEM provides a standardized framework for the agent-environment interface, supporting asynchronous execution, diverse tasks (including games, math, and coding), and external tools like Python and Search.