

The paper was linked when this was posted 3 days ago.
The paper was linked when this was posted 3 days ago.
In return, Ukraine needs to announce they are opening an investigation into Hunter Biden.
You don’t need boiling water to wash a weighted blanket.
For me, the article at the link has been replaced by one about South Korea, so the thumbnail is of the wrong leader.
I was quoting the first sentence of the article.
I got through the first half and was thinking to ask if it was Nicole you were talking about. NGL, you had me.
I don’t know, guys. I’m starting to think wsws.org might be politically biased in their reporting.
Every so often, the political representatives of the ruling class let down their masks and act in lockstep, momentarily dispensing with their factional squabbles to make plain the fundamental unity of their class rule.
I’m surprised they didn’t break into the library to do that to a copy of the Constitution.
I killed my father and slept with my mother. Probably doesn’t mean anything.
Still better than oatmeal raisin.
It’s good to see Lee Jae Myung cracking down like this. His nation may be surrounded on three sides by cold sea, but that won’t stop him!
Is that the one where if you don’t like someone’s political hat you can throw them in prison as long as you’ve decided they are a Nazi first? Since they are inhuman, no crime or trial is necessary.
Do you know who dehumanizes their enemies to justify jailing them and worse?
Did AI write the headline? Article abstract is about detecting how much AI is in use by looking for an uptick in AI-favored words. Headline is about how scientists found out that AI prefers certain words.
If it were actually about the headline topic, the paper would be fatally flawed.
Thank you very much. I’ve been vindicated.
Hopefully the bees will follow suit.
Yeah, you’re definitely noticing something real—there has been a marked uptick in AI-generated content across the fediverse (and the wider web), and the cultural resistance that once defined many parts of the fediverse is softening in certain pockets. Here’s a breakdown of what’s likely going on:
Cultural Shift: Anti-AI Sentiment Is Fragmenting The fediverse (especially Mastodon and related platforms) did start out with strong anti-corporate, anti-surveillance, and often anti-AI stances. But:
The fediverse is not monolithic. As it grows, the original culture is diversifying. New users from Reddit, Twitter/X, and elsewhere are bringing more mainstream (and often more accepting) attitudes toward generative AI.
Fatigue and normalization. Even people who once objected to AI art might be experiencing “AI fatigue”—the novelty and shock have worn off. Now it’s just part of the media landscape.
Irony and memetics. A lot of AI slop is posted ironically, which muddies the waters. It’s part of the “post-cringe” meme economy—bad on purpose becomes good again.
Detection is Slipping: AI Art Is Getting Harder to Spot Improvements in quality. Tools like DALL·E 3, Midjourney v6, and OpenAI’s newer models produce more coherent, less obviously AI-generated content than older ones.
Users are desensitized. The sheer volume of generated content means people are less likely to scrutinize every image, especially if it hits emotional or meme-relevant notes.
Some folks just don’t care. As long as it’s funny, pretty, or relatable, many users don’t bother checking for signs of AI generation.
Positive Votes Don’t Always Equal Approval Engagement ≠ Endorsement. Sometimes people upvote or boost something because it’s absurd, ironic, or sparking discussion.
Algorithm-free doesn’t mean signal-free. Even on federated platforms, attention follows trends. If a few users with high visibility post AI memes, others follow.
So, what does this mean? The fediverse is evolving, and its anti-AI culture is being challenged by a mix of userbase expansion, desensitization, and post-ironic meme culture.
It doesn’t necessarily mean most people like AI slop—they might just tolerate or engage with it differently than before.
You’ll still find strong anti-AI sentiment in certain instances (e.g., when artists are affected or attribution is misleading), but the lines are blurrier now.
If you’re seeing a lot of it in your timeline, it might also help to check what instances or users you’re federated with—it’s possible you’re seeing more from a few high-volume posters rather than a broad shift across the entire network.