This lesson explores how scaling large language models (LLMs) dramatically improves reasoning abilities, particularly through "next word prediction." It introduces a new paradigm using Chain-of-Thought prompting and reinforcement learning to train LLMs for complex tasks like coding and structured output generation, showcasing impressive results and practical applications.