The structural gap the 'XTC.' case exposes is not between detection and evasion — it is between what YouTube's algorithm optimizes for and what listeners actually want. YouTube's crowdsourced rating approach, asking viewers to flag content that feels like AI slop, moves responsibility from the platform's systems to the individual user at the moment of discovery. Humans are poor at identifying AI-generated content and growing worse at the task — meaning the reliability of that signal degrades precisely as AI generation improves. YouTube inherits the reputational cost of slop in…