Lessons from Studying Every Memory System
Conference Context
- Date/time: 2026-06-30 · 3:20pm-3:40pm
- Track/room: Memory & Continual Learning · Track 3
- Speaker(s): Shlok Khemani
- Session type/status: session · confirmed
- Track: Memory & Continual Learning
- Room: Track 3
- Session type: session
- Status: confirmed
Session Description
For the past year I've done one thing obsessively: studied how AI products implement personalization. I've reverse-engineered the memory systems inside ChatGPT, Claude, Gemini, and Poke, and helped consumer teams build their own. In this talk, I'll trace the evolution of ChatGPT and Claude memory over the past three years. I'll then share lessons learnt from studying these systems and share thoughts on where I think memory for consumer is heading.
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Synthesis
Synthesized Breakdown
Lessons from Studying Every Memory System ## Conference Context - Date/time: 2026-06-30 · 3:20pm-3:40pm - Track/room: Memory & Continual Learning · Track 3 - Speaker(s): Shlok Khemani - Session type/status: session · confirmed - Track: Memory & Continual Learning - Room: Track 3 - Session type: session - Status: confirmed ## Session Description For the past year I've done one thing obsessively: studied how AI products implement personalization. I've reverse-engineered the memory systems inside ChatGPT, Claude, Gemini, and Poke, and helped consumer teams build their own. In this talk, I'll trace the evolution of ChatGPT and Claude memory over the past three years. I'll then share lessons learnt from studying these systems and share thoughts on where I think memory for consumer is heading.
Speaker And Company Context
- Shlok Khemani — Independent Researcher at Independent.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
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