I am definitely missing the pre-AI writing era

Original Article ↗ Hacker News Discussion ↗

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.