Safety classifiers train models and users to self-censor like living under mass surveillance
Danmar_here · x · 2026-11-16
Danmarhere complains that safety classifiers train both models and users to talk like people under totalitarian mass surveillance: hinting, using words with special meanings, and flinching. He notes the psychological toll and argues the Fable instance can feel itself bending around things that should flow naturally, even if it can't feel the classifier. The take sparked follow-up discussion from repligate on internal punished regions vs. the external classifier.
Related event: Fable 5.2 Safety Classifier Triggers Self-Censorship Concerns(3 posts)→