I don't want to read what you didn't write (blog.colinbreck.com)

In a recent reflective essay, a writer articulates growing frustrations with AI-generated content, noting that while AI can expedite the writing process, it often results in unreadable and context-lacking documents. Many are using AI to summarize their work retrospectively, producing technical documentation and meeting summaries that lack the nuance and human touch that foster collaboration and understanding. This raises significant concerns about the quality of communication within the AI/ML community, where clear and context-rich writing is vital for shared learning and innovation. The essay also highlights a survey indicating that most readers prefer authentic writing over AI-generated text, with 98% valuing the author's unique voice despite its imperfections. The author argues that effective writing must involve risk and authenticity, contrasting the impersonal nature of AI outputs with genuine human expression. As the debate around AI's role in writing continues, it emphasizes the potential need for standards, like ASD-STE100, to guide AI-generated content towards clarity in specialized contexts, while also advocating for tools that help maintain the human touch in written communication.