Die Erwähnungen von KI auf X, Reddit, Pinterest, Twitch, Foren, Rezensionen, Podcasts, Blogs, Kommentaren und Nachrichten vom 1. Januar bis 31. Dezember 2024 sind im Vergleich zu denen vom 1. Januar bis 31. Oktober 2025 häufig.
Tools: Social Listening und Analyse von Meltwater
Von meltwater_global
16 Kommentare
The graph as it’s shown gives the impression that 2025 came earlier, kind of like an r/afterbefore
I think this should just be a single time series line
Doing the separate lines for each year is useful for doing year-over-year comparisons, which isn’t really the need here. Year over year comparisons are most useful when you expect the to be yearly periodicity in the data and you want to compare growth. And here, not only would we not expect there to be a yearly cycle but there isn’t enough data to demonstrate that such a cycle exists
The word “slop” is getting on my nerves too. People are throwing it around outside of the context of AI also. Like AAA games are slop, etc.
It is being wildly overused.
What you call ‚AI slop‘ is called ‚engagement-driving content‘ by the people who need filler to space out their ads.
I am so sick of the word “slop”
Why are we seeing a spike in August in both of these years? Has that become to AI what November is to game consoles (when the big new thing launches)
how come december 24 is higher than jan 25 ?
That’s because the AI slop is getting sloppier
What’s funny is that, over this period of time, AI has gotten exponentially better. The ’slop‘ that people are seeing is often just art or writing they don’t like, not actually bad or wrong. Most of the really sloppy stuff was in the earliest iterations.
If I had to guess, I would say that lots of folks are threatened by a machine that can do what just a couple years ago was the exclusive domain of humanity. They’re also mad that this astonishing new technology didn’t arrive flawless.
It reminds of the story of John Henry, whose pride led him to a steel-driving contest between him and a new steel-driving machine. He won, but the legend usually overlooks the fact that the machine was the first and weakest of its kind and that John died from exhaustion afterward.
Splitting the two years and making it „by month“ doesn’t really make sense here, unless your assumption is that there’s a seasonal trend.
I’m sick of people over generalizing every piece of Machine Learning tech as „AI slop“ and not doing the bare minimum to learn the difference between GenAI, LLMs and traditional Deep Learning and Machine Learning.
This week I saw someone calling a fucking object detection model (YOLO) AI slop.
The word slop is ironically becoming slop
As a large language model, I cannot comment on the generation of my slop.
There is no reason for this to be a stacked line graph instead of linear. If you’re going to post on data is beautiful it actually has to be beautiful and not just data
Some mods on another sub recently called my carefully written post AI Slop! Reader, I was not best thrilled. (For any Americans reading, that means I was incandescent).