I am definitely missing the pre-AI writing era
Generative AI is reshaping how people write and read online, and many are uneasy with the result: polished but shallow “AI voice” prose that feels interchangeable and hard to trust. Commenters describe pressures to avoid sounding like an LLM—even to the point of deliberately leaving errors—while others argue that tools used only for grammar or structure can genuinely help, especially for non‑native speakers, if humans stay firmly in control of content and tone. Underneath is a broader worry that cheap, abundant text accelerates long‑running declines in writing quality and originality, and that overreliance on AI may erode both individual skill and the diversity of human voices.
Perception of “LLM voice” and stylistic tells
- Many feel online prose is converging to a bland, over-structured, over-signposted “LLM voice” (em-dashes, “here’s the kicker,” apologetic tone, verbose padding).
- Some argue these markers existed long before LLMs and are elements of good prose when used sparingly; the problem is saturation and uniformity.
- Others warn that inverting old quality signals (avoiding structure, proper punctuation, smart quotes) to dodge AI suspicion will only make writing worse.
Non‑native writers, grammar tools, and loss of voice
- Non‑native speakers describe real tension: wanting clarity and correctness, but fearing their voice is overwritten by AI tools or flagged as “AI-written.”
- Some readers say they prefer clumsy but clearly human language to polished LLM text and encourage simpler, direct English over AI polish.
- Others counter that grammar/spellcheck (even AI-based) doesn’t inherently erase voice if the author keeps control and uses suggestions selectively.
Editing, authenticity, and “raw” writing
- One camp values raw, imperfect text as a signal of humanity and authenticity in a slop-filled environment. Typos and odd syntax feel reassuring.
- Another camp insists good writing is edited; “stream of consciousness” with basic errors is tiring to read and often incoherent.
- Debate over whether deliberate imperfection will just become another easily faked “anti-AI” aesthetic.
Usefulness and limits of AI for writing
- Supporters use LLMs for: grammar fixes, de-jargoning for executives, brainstorming, sentiment/tone checks, and structuring large technical or project documents.
- Critics say AI editing flattens style, adds verbosity, weakens argumentation, and can atrophy the writer’s own skills and judgment.
- Several recommend a “chess engine” model: AI for ideas and critique, but the human does the actual writing and final edits.
AI detection, slop, and human-only spaces
- Commenters note AI-writing detectors have high false-positive rates, especially for eloquent or ESL writing, leading to unfair accusations and rejections.
- Some seek “no-slow/verified-human” spaces, or older books and pre‑2020 content, to avoid AI-generated material.
- Others predict communities will either fight LLM slop with strict rules or decay into low-value AI content.