GoKawiilEssay argues AI-generated writing strips away authorial style and precision
An author drawing on their bachelor's thesis on stylometric authorship detection argues that AI-written text 'averages style,' making it difficult to identify a distinct author or empathize with one. They contend AI text also loses precision because models must make assumptions to stitch sentences together, often choosing vaguer language, and because writers skip the self-challenging process that comes from manually drafting ideas. The result, they say, is text that is slower to read despite being the same length as human writing.
GoKawiil's interpretation of the reporting above, not reported fact.
The essay frames AI writing's costs in terms of reader experience and comprehension rather than productivity, suggesting that efficiency gains from AI drafting could be offset by slower reading and reduced empathy between writer and reader. This view implies that losing stylistic 'fingerprints' may have subtle social costs beyond authenticity, though it is the author's personal observation rather than an empirical study.
- The author links writing style to reader empathy and understanding of context.
- AI text allegedly sacrifices precision because models must fill gaps with assumptions, often using vaguer language.
- The author reports reading AI-generated text roughly a third slower than human-written text of similar length.
Source: bolkunov.com, 2026-10-20
Published there as: “On AI writing”
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