this post was submitted on 22 Feb 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:
- 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.
- 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.
- You are encouraged to provide a link back to the source of your screen capture in the body of your post.
- 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.
- 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.
- Absolutely no NSFL content.
- Be nice. Don't take anything personally. Take political debates to the appropriate communities. Take personal disagreements & arguments to private messages.
- No advertising, brand promotion, or guerrilla marketing.
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Yeah, I get that it seems like a fine use for average people doing basic math. The nonzero chance of error could end up not mattering. But it could matter very much, depending on the use case. If you're asking an LLM the volume of a bucket, it's not a big deal. If you're asking an LLM "how many milligrams of this drug is the correct dose for a 80 kg man", that's a big fucking deal.
If people don't know LLMs can't be trusted to give the corect answer, they're not going to realize they need to do the math themselves in important use cases. And that is certainly not something Microsoft and Google are encouraging people to learn.
Then there's the efficiency issue - Big Tech spent trillions of dollars to develop and train machine learning processors, which perform quadrillions of energy-intensive processes per second, and they're being marketed to do a job that a 99 cent solar powered calculator from the 1980s can do better.
God, I just realized tax season is coming up. And after all the layoffs and political firings and general dogebaggery at the American IRS, they're going to have to deal with people using AI to do their taxes ๐