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Comment by mlmonkey | Hacker News Reader

I am 99% sure the post was written by AI

The honest takeaway: this is 100% written by an LLM.

That was the honest giveaway ... :-D

I did a quick skim and the usage of phrases like "snappy stylist" and "speed-and-value monster" were what instantly stuck out to me as AI. I decided I probably didn't need to actually read the article after that.

This is the real unlock of the speed and value monster.

I am trying to figure out how many LLM converged on a writing style that resembles a LinkedIn MBA true believer. Maybe because there was just such a sheer mass of corporate-speak drone writing out there in the wild in the training data set?

But more seriously, is there a firefox extension that 'skims' the text body content of a page and puts some kind of "this was probably written by AI" meter, gauge, number or indicator in the top menu bar adjacent to the URL bar? It could even be color coded in various shades from green, yellow, orange, red. If there isn't, it sure seems like something that would be good to have.

It's kinda logical. Most people, individually, have a somewhat unique writing style. So if there's one set of writing that's very formulaic and consistent and you build an averaging machine it's going to converge on that formulaic style because everyone else's writing style is going to be much closer to n=1.

I'd expect that most corporate speak made it past their data curation, while normal people speaking normally was probably scrutinized a bit more heavily. The PC stuff is also probably quite terrified of a lot of adjectives. For instance I just used normal as an adjective, and that can be a hyper-loaded term if somebody's obsessed with trying to interpret things in the most absurdly bad faith way imaginable. By contrast corporate speak tends to have obnoxious lingo, but lingo that can't really be spun too much. Even for one of those guys, mental gymnasticing 'snappy' into being a secret dog whistle's going to be pretty hard.

Kenyans who provided the data for RLHF liked that style. That's the most of it. And a transformer is not an "averaging machine", it's a prediction machine.

Kenya influenced the entire English language by being an outsourcing site for AI RLHF.

Sounds like a world detail from Snow Crash.

I'll take that over an LLM that's been trained by default to the tastes of "polite" Indian English speakers, repeating back to me things like kindly do the needful and revert back.

Pretty much any harness with a halfway decent model should be capable of running the experiment including making the screenshots, summarising the results, and so forth.

I sort of do this whenever an interesting new model comes out.

That number is not just a statistic, it's load bearing. ;-)

Blog post idea:

We made Grok 4.5, GPT-5.5, and Claude write a blog post about using Grok 4.5, GPT-5.5, and Claude to build the same apps.

Either that or a human that has started writing like an LLM, having been "trained" on LLM output itself by sufficient exposure.

i will give you the remaining 1% because i felt the same way.

But just think of the amazing advancements over the past 12-18 months in fully automated slop-posting! We've reached a new high water mark.

I'll actually put in spelling errors and grammar mistakes intentionally these days to show human

> Role reversal, two figures, one file.

> “snappy stylist”

Funny you can tell its slop just by this

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