Writes and Write-Nots
AI writing tools are raising fears that reliance on generated text will erode people’s ability to write clearly, and with it their capacity for deep, structured thinking. Commenters argue over whether “writing is thinking,” with some insisting that drafting and revising prose is a unique forcing function for clarity, while others note that conversation, math, programming, or oral traditions can serve a similar role. Many expect a widening gap between a minority who still practice serious reading and writing and a larger group who outsource most communication to AI, potentially degrading education, workplace communication, and our ability to judge real expertise.
Writing vs Thinking
- Many agree that writing forces clearer, more structured thought; redrafting exposes fuzzy ideas and logical gaps.
- Others argue clear thinking is possible without writing (e.g., through math, code, conversation, or silent reflection).
- Several note that writing is one powerful “forcing function” for thought, but not the only one; oral cultures, conversations, and mental modeling are cited as alternatives.
- Some contend the original claim overgeneralizes from one style of cognition and undervalues non-written, experience- or emotion-rooted thinking.
Role of AI in Writing and Thought
- Concern: LLMs can become shortcuts that erode genuine understanding, especially in essays, reports, and corporate communication; risk of a large cohort that can’t really think or write.
- Worry about “AI-slop”: verbose, bland, jargon-heavy text flooding workplaces and killing interest in reading.
- Counterpoint: many use AI as a writing partner—structuring ideas, suggesting categories, improving grammar and style—while doing the core thinking themselves.
- Debate over whether AI mostly amplifies bias/mediocrity or can broaden perspectives and improve clarity when used responsibly.
Quality of Language and Literacy Trends
- Some see a long-term simplification and degradation of public discourse (e.g., political speeches, online communication), supported by readability metrics.
- Others argue overall writing volume and opportunities to write have increased with the internet, even if quality varies.
- Concerns that many adults can’t handle text beyond short messages; fear of a future where serious reading/writing is confined to a small elite.
Social and Economic Stratification
- Expectation of a power-law distribution: a small minority of strong writers will gain outsized advantages.
- Worry about a split between “writes and write-nots,” or more broadly, “thinks and think-nots,” reinforced by AI tools.
- Some extend this to other domains: affluent people buying human expertise while others rely on cheaper AI services.
Education, Cheating, and Assessment
- Reports of students and professionals overusing AI in essays, resumes, tests, and reports.
- Suggestions that oral exams or live Q&A may be needed to assess real understanding, but scalability is questioned.
- Analogy to calculators is debated: many argue writing is different because it is itself a core thinking process, not just an execution aid.
Alternative Modes of Communication and Culture
- Discussion of oral traditions, video, and short-form media as potential successors or complements to writing.
- Some fear “Idiocracy”-style outcomes with attention captured by memes and clips; others say new media can still be text-rich and thought-provoking.
- Several emphasize that the deeper skill is communication (explaining clearly to diverse audiences), with writing as only one channel.