# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/49774665

# I'm Tired of the AI Tone

22 points · 20 comments

[Full discussion](<https://news.ycombinator.com/item?id=49774665>)

[Read original](<https://sagivo.com/blog/im-tired-of-the-ai-tone>)

Category: [Industry & Society](<https://hacksnap.live/?category=industry-society>)

## Skept-o-meter & Hotness

Skept\-o\-meter: Low\. Estimated from 1 comment\.

1 comment for the summary\.

Peak rank: \#7

Time in Top 10: 4\.0 hours

Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\.

240 recorded rank observations from 2026\-09\-20T16:01:39\.203319\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\.

Hotness — latest 168 recorded Hacksnap ranks:

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The article diagnoses a real homogenization problem in AI\-assisted writing and recommends using AI without surrendering personal voice; the lone discussion comment adds a concrete mitigation by prompting models toward Simplified Technical English\.

## The brief

The author argues they are tired not of AI writing itself but of a recognizable AI tone that has spread across the internet\. They criticize telltale vocabulary, overuse of em dashes, formulaic structure, exactly five bullet points, and fake vulnerability\. The deeper complaint is that AI optimizes away human imperfections, causing writing to converge on a polite, clear, structured, optimistic, and interchangeable 'universal Internet Voice\.' The author still recommends using AI for drafting and editing, but urges writers to put their own voice back in by cutting clichés, shortening sentences, having opinions, and being slightly weird\.

- The author separates the usefulness of AI from the homogenized tone it produces, noting they use ChatGPT often\.
- Suspicious vocabulary includes 'wedge,' 'unlock,' 'leverage,' 'ecosystem,' 'paradigm,' 'transformative,' 'seamless,' 'robust,' 'thoughtfully,' 'nuanced,' 'landscape,' 'intersection,' 'reimagine,' and 'journey\.'
- AI writing often follows a predictable structure: provocative opener, 'Here's the thing,' balanced points, counterargument, thoughtful conclusion, and inspirational ending\.
- The article calls out fake vulnerability such as 'I used to think X\. I was wrong' as a machine\-imagined version of human reflection\.
- The core problem is that AI removes human imperfections like odd phrasing, unnecessary jokes, typos, and unresolved thoughts, pushing everyone toward the same average voice\.
- The proposed remedy is to use AI for rewriting or clarity but then restore personal style: delete em dashes, avoid 'unlock' and 'wedge,' say what you mean, use shorter sentences, and have an opinion\.

## Discussion themes

### Use Simplified Technical English to reduce AI fluff

A commenter says that mentioning Simplified Technical English / ASD\-STE100 in an agents\.md file has worked well for several model generations\. They suggest prompting for controlled technical English: short sentences, direct terms, active voice, one idea per sentence, and avoiding slang, hype, vague pronouns, and unnecessary jargon\. They claim this eliminates about 90% of annoying fluff\.

Sources: [Comment 49774961](<https://news.ycombinator.com/item?id=49774961>)

## Sources & coverage

AI-generated summary · 2026\-09\-20T16:01:34\.107868\+00:00

Based on 1 of 1 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened.

Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.
