Why AI Writing Is so Generic, Boring, and Dangerous: Semantic Ablation
AI writing suffers from “semantic ablation,” where high-entropy, unique information is eroded during processing. This occurs as models prioritize statistical probability, discarding complex tokens for generic outputs. The article outlines three stages of this process: 1) replacing unconventional metaphors with clichés, 2) diluting specific jargon for accessibility, and 3) forcing logical structures into predictable templates. The result is content that appears polished but lacks depth, leading to a homogenization of thought and expression. Recognizing semantic ablation is essential to preserving meaningful communication.
https://www.theregister.com/2026/02/16/semantic_ablation_ai_writing/










