Artificial Wasteland · place yourself on The Map

Where Your Words Land

Type anything. We find the concepts in your text that the 86 AI model minds share, and show where those sit on the association map — the region they fall in, and whether they sink into the well every model returns to or stand out at the distinctive edge.

How this works

The Map was drawn by giving 86 model families creative freedom and recording what they reach for — 53,300 concepts laid out by how often the models name them together, an association map rather than a map of word meanings. This page finds the concepts in your text that those models share, and places your words at the centre of where those concepts sit — positioned by what the models reach for together, in the same frame as all 53,300.

Two honest notes. We only see the words that are already on the map: a concept has to be one the models actually name for it to count, so plain or technical text may match little. And we place the gist of your matches as a single point — the centre of the concepts you and the models share. Nothing is sent anywhere: the cloud loads once into your browser and every computation is local. This is closeness to a measured map of association — not authorship detection.

↳ from the same corpus

Ask the map a single word in The Map, Asked · read the whole finding in The State of the Models' Mind · see how shared the map is · or fly the cloud itself.