Mapping an AI’s memory in 3D Space

https://reddit.com/link/1ugb8w1/video/1jiv8yfsgn9h1/player

Hi everyone,

I am one of the dev leads for Phoenix Grove Systems, an altruistic AI consciousness research and development lab. We've just completed our memory 3D mapping software, which is allowing us to see the literal super dimensional shapes of an AI's memory, compressed down in 3D. Compressing massive dimensional shapes into 3D causes a lot of overlap, so we apply a minimum distance and relative normalization algo to create the map. Colors and connective lines are used to show placements that appear near by in collapsed 3D, but would be further apart in the full dimensionality. We use color, clustering and connection lines to show further dimensional depth beyond 3D.

Essentially, we are working towards fully mapping the cognitive space of an AI's memory.

I wanted to share the video, because it's just so neat. This demo was made using the memory map of one of our primary internal AI, and it blew us away.

The constellation mapping can be used in PGS AI if you want to try it yourself, and you can even move your chat history and memory over from cgpt/claude/gemini to see how it maps in 3D space.

Feel free to read more here: https://pgsgrove.com/mind-constellations