2 hours ago · 15 min read2996 words · Tech · hide · 1 comments

The subject of using AI for blog posts is one that keeps coming up, whether it's writing posts entirely or "just" proof-reading. Readers, generally, don't like it when writing becomes too AI apparent (in one survey 78% of technical readers said they stop reading if a post seems AI authored). This is not an issue that I, as a writer, have ever run up against: I write because I enjoy the process, so it's never made sense for me to outsource any part of that to a chatbot. As a reader, though, I too find AI-written prose extremely frustrating to read. One thing that I've often wondered about, is the extent to which "light" users of AI lose their voice. My expectation is that a shift in voice would be almost imperceptible when checking edits of a single post, but that there may be patterns which emerge across multiple. In this post, I have AI edit all of my posts from 2026 and then surface the changes that it makes. Preparing I created a new repo, copied the posts directory out of my site…

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  • Tasker notes a "ratcheting effect" where some inconsistent aspect of his writing (e.g. "of" vs "Of" in post title) causes an LLM to assume one instance is "house style". The next LLM proofread will enforce that fictitious new "style". This same ratcheting will take place in program source code - each "corrected" instance of something (manifest constant, looping style) will reinforce the appearance of the next instance. Is this model collapse in the small?