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I Reverse Engineered ChatGPT's Memory System and Here's What I Found!
When I asked ChatGPT what it remembered about me, it listed 33 facts—from my name and career goals to my current fitness routine. But how does it actually store and retrieve this information? And why does it feel so seamless?
After extensive experimentation, I discovered that ChatGPT’s memory system is far simpler than I expected. No vector databases. No RAG over conversation history. Instead, it uses four distinct layers: session metadata that adapts to your environment, explicit facts stored long-term, lightweight summaries of recent chats, and a sliding window of your current conversation.
Ahead of AI specializes in Machine Learning & AI research and is read by tens of thousands of researchers and practitioners who want to stay ahead in the ever-evolving field. Click to read Ahead of AI, by Sebastian Raschka, PhD, a Substack publication with hundreds of thousands of subscribers.
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