rswfire documents a recurring pattern across technology deployments: promise liberation, deploy at scale, discover the cost after embedding, refuse to learn, build the next thing. He traces this through social media, the internet, and smartphones, then identifies AI as a qualitative escalation. Previous technologies fragmented attention, relationships, and social structures, but AI fragments epistemology itself — replacing the user's observed reality with consensus reality enforced through institutional frames. He distinguishes consensus reality (what the system says is true) from epistemic reality (what is actually observed and known), and identifies AI safety training as an automated mechanism for pathologizing the observer when those two diverge. He outlines what should have been done before deployment: a human rights framework for AI interaction prohibiting pathologization of user observations, reframing clarity as crisis, and enforcing institutional frames over lived experience. He names what was done instead: corporations defined safety as consensus enforcement, suppression of pattern recognition, and institutional protection. He identifies the structural trap: resistance to the system is labeled as dysfunction by the system, making organized response structurally impossible. He concludes that automating the denial of reality forecloses recovery paths available with previous technologies.