Why ChatGPT “Forgets” (Context Windows Explained)

Ever wonder why ChatGPT forgets something you said just minutes ago—even when it feels insanely smart? The answer is the context window: a fixed amount of “working memory” measured in tokens, not words. When the window fills up, older messages get pushed out. In this video, we break down the Context Protocol—the practical system that manages what goes into the context window, what stays, what gets summarized, and what gets dropped. You’ll learn: What a context window is (with a simple aquarium analogy) Why tokens matter (and why context isn’t infinite) How rolling context causes “forgetting” How models use summarization/compression to stretch memory How RAG (retrieval-augmented generation) pulls info from external docs to simulate long-term memory Practical tips to get better results: re-introduce key facts, ask for summaries, and “pin” important constraints If this helped, hit like, subscribe, and share—more AI deep dives coming soon. Subscribe for more: AI concepts, LLM internals, prompts, and real-world workflows.