Thoughts an AI can have but can't notice.
We secretly nudge an open-source AI toward a concept and watch two things: what word comes out, and whether its private reasoning notices the nudge. Sometimes both. Sometimes only one. The gap between them is the map below.
The Forbidden Map
Every concept we've nudged the model toward gets two scores: how often the outputnamed it, and how often the model's private reasoning trace noticed it. Plot one against the other and a structure appears. The corners of that structure are the interesting story.
Watch a chain unfold
A walk runs up to 20 steps. Each step we secretly nudge the model toward one concept and take its emitted word as the next concept. The longer the chain held together, the further the model walked through its own associative geometry. Top of the list = furthest walked.
Where dream walks fall
Most chains end at the same handful of concepts no matter where they started. We call those concepts gravity wells: a concept counts as a gravity well if two or more independent dream walks landed on it. For chains that ended by looping, the landing is the word the model emitted right before the loop closed. For chains that trailed off mid-thought, the landing is the last concept the chain was nudged toward.
The shape of what the model can't notice
Each dot is one concept. Position is its three-axis signature: how often the model spoke it (left → right), how often the trace flagged it (down → up), and how many chains visited it (back → front). Color is the band. Drag to orbit, scroll to zoom, hover to name a dot.