On AI writing (www.bolkunov.com)

A recent exploration into AI writing highlights significant concerns regarding the loss of authorial style and precision in AI-generated text. The study reflects on a bachelor’s thesis that analyzed authorship through word usage patterns, emphasizing that personal writing styles convey more than just information; they encapsulate an author's voice and context. Unlike human writers who craft unique narratives, AI averages styles, leading to a homogenization that can obscure the author's identity and deter empathy in readers. This loss of distinctive flair makes it challenging for readers to connect with the text on a personal level. Additionally, the study points out that AI struggles with precision, often resulting in ambiguous language due to its reliance on assumptions when generating content. This vast generative approach can diminish the clarity of ideas, making reading more laborious and time-consuming, as readers must constantly interpret vague terms. The ramifications extend beyond initial reading difficulties, potentially leading to increased questions, iterative revisions, and a general decline in trust between writers and their audience. Overall, this analysis serves as a critical reminder of the complexities involved in AI-generated content and its implications for communication, comprehension, and the writer-reader relationship within the AI/ML community.