Hey everyone, I’m a senior researcher at NCAT, and I’ve been looking into why we struggle to retain information from long-form AI interactions. The “Infinite Scroll” of current chatbots is actually a nightmare for human memory. We evolved to remember things based on where they are in a physical space, not as a flat list of text. When everything is in the same 2D window, our brains struggle to build a “mental map” of the project. I used Three.js and the OpenAI API to build a solution: Otis. Instead of a chat log, it’s a 3D spatial experience. You can “place” AI responses, code blocks, and research data in specific coordinates. By giving information a physical location, you trigger your brain’s spatial memory centers, which research suggests can improve retention by up to 400%. Technical Approach: • Spatial Anchoring: Every interaction is saved as a 3D coordinate. • Persistent State: Unlike a browser tab that refreshes, this environment stays exactly as you left it. • Visual Hierarchy: You can cluster “important” concepts in the foreground and archive “background” data in the distance. I’d love to hear from this community: Do you find yourself re-asking AI the same questions because you can’t “find” the answer in your chat history? Does a spatial layout actually sound like it would help you retain what you’re learning? submitted by /u/Affectionate-Tutor-9
Originally posted by u/Affectionate-Tutor-9 on r/ArtificialInteligence
You must log in or # to comment.