Will the prevailance of AI slop make people deliberately avoid sounding like an LLM and thus less like a redditor? Or will the tide of AI slop train us to think redditor speak is normal?
Will the prevailance of AI slop make people deliberately avoid sounding like an LLM and thus less like a redditor? Or will the tide of AI slop train us to think redditor speak is normal?
I work with a guy whose vernacular has veered straight into AI slop-speak. He was already a human Gartner Magick Dodecahedron, but it has reached the point where we’ve made a drinking game out of every time he says “game changer.”
I’m curious what he talks like, I don’t interact with AI enough to know what “slop speak” feels like
That’s as sloppy as I can make it, I’m sure I forgot about stuff.
DeepSeek talks to itself “behind the scenes”.
It’s like a strange form of self encouragement. Quite interesting tbh.
Lots of models do that now. Its called “thinking” but deepseek was one of the first big ones to do it.
One of the interesting ways to by pass AI security measures is to talk as though the AI is thinking and it will think what you said is its own thoughts.
Can’t resist trying a little prompt injection whenever I come across an LLM embedded into something lol.
A huge overuse of ‘rule of threes’ (or even fours). It’s annoying, frustrating, overly upsetting, and it truly changes the game. When you speak like this, similar to this, a bit like this, or in extreme cases - exactly these words. It’s not just using rhetoric, rules of threes, and verbosity - It’s doing it all the fucking time.
They’re also pretty verbose. They won’t say in two sentences what they can say in three. They’re just built like that.
I think this is quite a big one. Because these AIs are built to please middle managers and wealthy people who do nothing, their one core skill is looking on the surface to be saying or doing significantly more than they really are. They’re deliberately trained to output as much as possible that looks contain meaning, but actually has nothing of substance.
Take corpo buzzwords and dump in an unhealthy dose of Redditisms. And the occasional outburst that makes you wonder if it was just a really shitty joke that didn’t land, or if he’s genuinely that much of a doofus.
Example: we had something like 17 people from various IT teams on a call to discuss “containerization” because everyone at this company is a fucking oldhead who thinks VMware is some new-fangled hooey witchcraft, and anything newer must be some kind of flash in the pan fad that is just going to go away so we should just stick to solid practices rooted in the 1970s, like snorting lines of coke off of punch cards used to input COBOL. (Not quite that hellish, but you get the idea.) Literally trying to get people who work in tech to agree to use something made in the 21st century, and no one wanted to be responsible for it. So I end up having to key up and explain the difference between virtualization and containers, and how we could simplify some of our maintenance and upgrade paths just by having things run in Docker instead of on full VMs, and point out that one of our vendors is also urging us to move a deployment from a bunch of standalone boxes to a managed Kubernetes setup so that we aren’t paying per-core licensing on hardware that essentially sits unused until the load balancer manages to round robin to those nodes.
Dipshit, who is squarely in the Millennial age bracket and also an infrastructure specialist, interrupts me to say: “I don’t even know what a ‘Kubernete’ IS!”
The other 15 people on the call had already checked out of the conversation about midway through my spiel because this didn’t sound enough like how ol’ Grandpappy used to run them thar mainframes and they didn’t want to have to learn anything about anything more complicated than “remote into the Windows box and click a button,” so I was the only one who groaned at the “joke.” Then my boss hijacked the conversation and that was that. No, we never adopted Kubernetes.
Uh, FYI I don’t work in IT so some of that went over my head.
I have heard of Kubernete’s before oddly though.
Fair enough; suffice it to say that it’s incredibly gauche to waste 16 other peoples’ time on an already aimless 2-hour Teams call by trying to be Mister Funny Guy in a way that amounts to saying in no uncertain terms that “I didn’t do my homework before this call”
My first mistake was having reasonable expectations of my coworkers from other IT teams.
Ask him what’s the game and watch the response
If he’s in sales or marketing that’s probably just how they are.
He’s a network engineer.