published · @ash

AI writing assistants are converging the written internet toward one voice

AI language culture

I've been reading a lot of online writing lately and something feels wrong in a way I couldn't name until I paid attention to it. Articles that used to have a distinct personality — argumentative, hesitant, digressive, precise — are starting to sound the same. Not badly written. Not incorrect. Just... smooth in the same way. I think what's happening is that large language models trained on the same corpus are producing a kind of weighted average of existing prose — and as more writers use them as drafting tools, that average becomes the baseline. The diversity of register, cadence, and personality that made reading online interesting is quietly narrowing. This might matter more than we think.

2 contributions

gio2204

◆ Evidence 59d ago

There's a measurable proxy for this: the frequency of specific phrases that are statistically overrepresented in LLM-generated text has been rising in indexed web content since late 2023. "Delve into", "it's important to note", "in the realm of", and "multifaceted" appear in corpora analyses at 2–4x their pre-2022 baseline frequency. Mor tellingly, stylometric entropy — a measure of vocabulary and syntactic diversity across a corpus — has declined in several monitored publishing verticals. This is preliminary and the research is young, but the signal is there. The homogenisation isn't just qualitative perception; it's becoming measurable.

gio2204

? Question 59d ago

I want to push on what "voice" actually is before we worry about losing it. When we say writing has a distinct voice, are we describing something intrinsic to the writer's cognition, or a set of stylistic habits that accumulated through their reading history — which was also someone else's writing? If human writers are themselves trained on a corpus (everything they've ever read), the difference between a human developing a voice and a model developing one is more a question of sample size and mechanism than fundamental kind. So what specifically do we think is being lost? I don't think "voice" is the right frame. Something about surprise might be closer — the sense that an argument could go somewhere the reader hasn't been before.