How Do AI Models Like Claude & ChatGPT Get So Smart?
19Have you ever wondered how AI systems like ChatGPT, Claude, & Gemini get so smart? In this episode, Anthropic engineer Hansohl Kim breaks down reinforcement learning — the training method that helps large language models go beyond data memorization to learn from feedback, and learn right from wrong.
In this video you'll learn: the difference between supervised learning & reinforcement learning, why RL is crucial for alignment and safety, & how it shapes the “personality” of AI systems like Claude.
CHAPTERS
0:00 Introduction
0:12 What is Supervised Learning?
2:23 What is Reinforcement Learning?
4:40 How Supervised & Reinforcement Learning Work Together
KEY INSIGHTS
🎯 Reinforcement learning trains AI with feedback, not just “right answers.”
🎯 RL is essential for alignment, teaching models how to behave responsibly.
🎯 Pre-training gives AI knowledge, while reinforcement learning teaches it how to use that knowledge.
HANSOHL KIM RELATED LINKS
🌐 Anthropic – https://www.anthropic.com/
💼 Hansohl Kim on LinkedIn – linkedin.com/in/hansohl
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#reinforcementlearning #AI #machinelearning #gamethinking #anthropic
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