The Hidden Tells of AI Writing

Language philosopher Bry Willis explores the identifiable characteristics of artificial intelligence in writing and the frustration authors face when their original work is flagged by automated detection tools. By examining common lexical tics, such as overused buzzwords and balanced structural templates, the author highlights how LLM-generated prose often lacks the natural messiness and emotional risk of human expression. This critique suggests that AI tends toward a monotonous, risk-averse rhythm and a "supervisory" tone that serves as a diagnostic giveaway. Ultimately, the source reflects on the psychological burden placed on modern writers who must now navigate a "witch-hunt" for non-human content. The author expresses deep resentment toward these digital constraints, questioning whether to intentionally distort their style to avoid being misidentified as a machine.