Correction

Correction: ChatGPT Prompts for Professional Writing

Corrected by Emir Baycan · Full-Stack Developer, Mobile App Builder and Web Platform Founder with expertise in SEO, automation, SaaS, AI visibility, DevOps and scalable digital products

Emir Baycan found something wrong, outdated, or unsupported on this page and proposed a fix. The publisher accepted the correction.

Role
Correction
Publisher
Evolang
Status
Accepted
Date
19 July 2026

The exact change

Before

A 2023 analysis by the MIT Media Lab of 15,000 ChatGPT-generated professional documents submitted to the research identified the patterns that most reliably mark text as AI-generated. [...] "The most interesting work with language models is not the default output. It is what you get when you push against the default with enough specificity that the model starts predicting the voice you described, not the voice it drifts toward." Andrej Karpathy, researcher, in a 2023 talk on language model behavior [...] "The model is a mirror. What it gives you back depends on what you ask it to reflect. Writers who know what they want get what they want. Writers who do not know what they want get the average." Shane Parrish, writer at Farnam Street, on AI and writing

After

Writers and editors who work with AI-generated drafts have identified recurring patterns that commonly mark text as AI-generated, based on informal observation rather than a single controlled study. [...] The most interesting work with language models is rarely the default output. It is what a writer gets when they push against the default with enough specificity that the model starts predicting the voice they described, rather than the voice it drifts toward by default. [...] A language model behaves something like a mirror: what it gives back depends heavily on what a writer asks it to reflect. Writers who know what they want tend to get closer to it. Writers who do not know what they want tend to get the average.

Why this is better

Fabricated study: no such 'MIT Media Lab' 2023 analysis of 15,000 ChatGPT-generated professional documents could be found. MIT Media Lab's real 2023-2025 ChatGPT-related research covers emotional/affe; Unverifiable quote attributed to Andrej Karpathy's 'State of GPT' talk at Microsoft Build 2023. Extensive search of talk transcripts, slides, and summaries could not locate this quote.; Unverifiable quote attributed to Shane Parrish of Farnam Street. Web search of Parrish's published writing, podcasts, and interviews could not locate this quote or anything close to it.

How this record is verified

  • The contribution is tied to a real, identified contributor, not an anonymous byline.
  • It counts only because the publisher, Evolang, accepted it. Self-claimed work earns nothing.
  • It is recorded against a specific page and cannot be bought or edited after the fact.
See the full page record View the published page

All of Emir Baycan's contributions →