You can’t depose a neural network. It has no intent. It has no memory. It is a mathematical hallucination.
It works. It works terrifyingly well. But it is mute. blackbox
Ironically, we call this device the "black box" (it’s actually bright orange). It is the ultimate witness. It swallows a storm of inputs—airspeed, altitude, button presses, screams—and produces a perfectly linear story of cause and effect. You can’t depose a neural network
To survive this, we need a new discipline: . Instead of opening the black box (which is mathematically impossible for deep networks), we build second models that act as interpreters. We ask the black box to highlight the pixels it was looking at. We force it to provide a "reason" after the fact, even if that reason is just a simulation. It is a mathematical hallucination