this post was submitted on 04 Sep 2026
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Microblog Memes

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A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.

Created as an evolution of White People Twitter and other tweet-capture subreddits.

RULES:

  1. Your post must be a screen capture of a microblog-type post that includes the UI of the site it came from, preferably also including the avatar and username of the original poster. Including relevant comments made to the original post is encouraged.
  2. Your post, included comments, or your title/comment should include some kind of commentary or remark on the subject of the screen capture. Your title must include at least one word relevant to your post.
  3. You are encouraged to provide a link back to the source of your screen capture in the body of your post.
  4. Current politics and news are allowed, but discouraged. There MUST be some kind of human commentary/reaction included (either by the original poster or you). Just news articles or headlines will be deleted.
  5. Doctored posts/images and AI are allowed, but discouraged. You MUST indicate this in your post (even if you didn't originally know). If an image is found to be fabricated or edited in any way and it is not properly labeled, it will be deleted.
  6. Absolutely no NSFL content.
  7. Be nice. Don't take anything personally. Take political debates to the appropriate communities. Take personal disagreements & arguments to private messages.
  8. No advertising, brand promotion, or guerrilla marketing.

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[–] FishFace@piefed.social 32 points 2 days ago (1 children)

That is not in the least bit how a tool like this works.

All AI detection is extremely unreliable, but they operate on principles which, if the assumptions supporting them were true, would be sound. The way you imagine they work is different: you're describing a "novel text detector" which is not at all the same thing as an "AI text detector".

AI detection works, at a very high level, by throwing a bunch of examples of AI text, and a bunch of examples of non-AI text, into a machine-learning model, and training it until it is able to recognise the AI examples as such. It doesn't work by throwing in all existing text including novels written before AI, because that would never do what you want.

(The reason, if you're interested, why this ends up not working is because the features such a model identifies as indicative of AI text are very sensitive: if you train it on Claude and ChatGPT, it will not work on Gemini output. If you train it on Gemini, when Gemini updates it will get worse. If someone generates text with a weird prompt, it may slip by. If someone writes in a weird way, it may get flagged. And if any AI company wanted to defeat AI detectors, it could trivially feed its output through one during the training process and give that output as examples to avoid in the training, so that the model learns to create output which doesn't "look like" AI output to those detectors.)

[–] glimse@lemmy.world 2 points 2 days ago (1 children)

I was being overly simplistic - I meant more that the patterns it's trying to detect were created by an LLM trained on the data they're inputting.

It's like how reddit comments from 2016 look generated. If you stick one of those into an AI detector, it'll give a false positive for the same reason

[–] michaelmrose@lemmy.world 3 points 1 day ago

You weren't simplifying what you said was just wrong what the person you are responding to is just correct. Just admit when you are wrong