this post was submitted on 22 Feb 2026
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Fuck AI

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A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.

AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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When an author uses AI for "polishing" a draft, they are not seeing improvement; they are witnessing semantic ablation. The AI identifies high-entropy clusters – the precise points where unique insights and "blood" reside – and systematically replaces them with the most probable, generic token sequences. What began as a jagged, precise Romanesque structure of stone is eroded into a polished, Baroque plastic shell: it looks "clean" to the casual eye, but its structural integrity – its "ciccia" – has been ablated to favor a hollow, frictionless aesthetic.

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[–] Triumph@fedia.io 1 points 21 minutes ago

If you want your resume to pass the AI filter that decides whether a human sees it or not, that's exactly what you want your chatbot to do for you.

[–] hendrik@palaver.p3x.de -1 points 2 hours ago* (last edited 2 hours ago) (1 children)

What kind of software are they talking about? Most I see is people giving their text to ChatGPT. And to my knowledge, ChatGPT doesn't really analyze the text directly. It just runs the language model and gets its opinion?! Or is that the confirmed version of what ChatGPT etc do under the hood?

[–] Dojan@pawb.social 4 points 1 hour ago

What? It doesn't give opinions. It doesn't have opinions, it's a probability matrix.

Put very simply, when it's "trained" it takes a lot of data as input, and out of that it builds a sort of "map" of relationships between the input data. When then given an input it can look up that input in the "map" and gives you the most probable following sequence.

Put simply, if you give it "Once upon..." it'll likely continue with "a time there was" because that's a pattern it'll have seen a lot.

It's an evolution of the autocorrect we have in phone keyboards. It's more advanced, and as people tweak weights of different neurons you can tweak the output. You can also train a model further to fit it to a specific purpose, but ultimately it's just fancy autocomplete.