Every prompt is a flashlight in a high-dimensional library of meaning.
The Geometry of Meaning
At billion-dimensional scale, concepts stop being loose metaphors and become measurable topology.
Implementing the Probe
We traverse semantic axes, capture high-entropy outputs, and backtrack their training-data bias.
// latent_probe.rs
fn traverse_latent_void(origin: Vector, direction: Vector) {
let step_size = 0.05;
for i in 0..200 {
let probe = origin + (direction * (i as f32 * step_size));
let output = model.decode(probe);
if output.entropy() > 10.0 {
println!("ghost detected: {:?}", probe);
log_artifact(output);
}
}
}