This episode dives into the hidden layer where language stops being words and becomes numbers. We explore what tokens actually are, how tokenization breaks text into meaningful fragments, and why this design choice quietly shapes a model’s strengths, limits, and quirks. Once you understand tokens, you start seeing why language models sometimes feel brilliant and sometimes strangely blind.