CONCEPT
Bibliographical Code of AI Text
The material signature of machine-generated prose — tonal consistency, structural regularity, the absence of textual grain — that communicates about origin independently of what the words claim.
AI-generated text has a bibliographical code distinct from handwritten, typeset, or conventionally word-processed text. Its features include consistency of tone across extended passages, structural regularity in the alternation between claim and evidence, syntactic fluency that does not vary with difficulty, and the absence of productive awkwardness — the syntactic stumble, the unexpected word choice, the sentence that strains against its own structure because a mind was reaching for expression at the edge of its capacity. These features are not defects; in many contexts they are virtues. But they are also information. They communicate something about the text's conditions of production that readers absorb, often unconsciously, as part of the reading experience — and the communication can diverge from what the content warrants.
In The You On AI Field Guide
The critical consequence of the AI bibliographical code is that it communicates authority and competence independently of accuracy. A factually incorrect passage generated by a large language model reads, at the surface level,