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<blockquote style="position: relative; padding-left: 55px;"><section><a href="https://thingy.social/users/malcircuit/statuses/116284255184644439">Mallory's Musings &amp; Mischief (malcircuit@thingy.social)'s status on Tuesday, 24-Mar-2026 22:48:44 JST</a><a href="https://thingy.social/@malcircuit" title="malcircuit@thingy.social"><img src="https://gnusocial.jp/avatar/99969-48-20230219083022.webp" width="48" height="48" alt="Mallory's Musings &amp; Mischief" style="position: absolute; left: 0; top: 0;">Mallory's Musings &amp; Mischief</a><div><ul><li></ul></div></section><article><p>This is always the thing I think about with LLMs. By definition, they are the statistical average of every thing ever written. Using one only pushes you into being mediocre. They are homogenizing humanity; eliminating any variation in how people speak, write, and even think.  </p><p><a href="https://tech.lgbt/@ngaylinn">@ngaylinn</a> <a href="https://tech.lgbt/@ngaylinn/116284172328690293" rel="nofollow">https://tech.lgbt/@ngaylinn/116284172328690293</a></p></article><footer><a rel="bookmark" href="https://gnusocial.jp/conversation/6263815#notice-12343084">In conversation</a><time datetime="2026-03-24T22:48:44+09:00" title="Tuesday, 24-Mar-2026 22:48:44 JST">about 3 months ago</time> <span>from <span><a href="https://thingy.social/@malcircuit/116284255184644439" rel="external" title="Sent from thingy.social via ActivityPub">thingy.social</a></span></span><a href="https://thingy.social/@malcircuit/116284255184644439">permalink</a><h4>Attachments</h4><ol><li><article><header><div>No result found on File_thumbnail lookup.</div><h5><a href="https://tech.lgbt/@ngaylinn/116284172328690293">Nate Gaylinn (@ngaylinn@tech.lgbt)</a></h5><div> from <span>Nate Gaylinn</span></div></header><div>"In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, but also consistently alter the intended meaning.""heavy LLM users reported that the writing was less creative and not in their voice.""Even when LLMs are prompted with expert feedback and asked to only make grammar edits, they still change the text in a way that significantly alters its semantic meaning.""the LLM is not merely correcting grammar, but is actively steering diverse human perspectives towards homogenization, toward a different conceptual mode.""extensive AI use results in a 70% change in the argumentative stance of essays, from for/against to neutral""LLMs systematically reframe arguments in more positive, optimistic terms, even when the original human text may have been critical or skeptical""LLMs have begun to change the very criteria that researchers use when evaluating peer-reviewed scientific research"http://arxiv.org/abs/2603.18161
#llm #ai</div><footer></footer></article></li></ol></footer></blockquote>

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Mallory's Musings & Mischief (malcircuit@thingy.social)'s status on Tuesday, 24-Mar-2026 22:48:44 JSTMallory's Musings & Mischief
- Nate Gaylinn
This is always the thing I think about with LLMs. By definition, they are the statistical average of every thing ever written. Using one only pushes you into being mediocre. They are homogenizing humanity; eliminating any variation in how people speak, write, and even think.
@ngaylinn https://tech.lgbt/@ngaylinn/116284172328690293
In conversationabout 3 months ago from thingy.socialpermalink
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  Nate Gaylinn (@ngaylinn@tech.lgbt)
  from Nate Gaylinn
  "In this work, we demonstrate that LLMs not only alter the voice and tone of human writing, but also consistently alter the intended meaning." "heavy LLM users reported that the writing was less creative and not in their voice." "Even when LLMs are prompted with expert feedback and asked to only make grammar edits, they still change the text in a way that significantly alters its semantic meaning." "the LLM is not merely correcting grammar, but is actively steering diverse human perspectives towards homogenization, toward a different conceptual mode." "extensive AI use results in a 70% change in the argumentative stance of essays, from for/against to neutral" "LLMs systematically reframe arguments in more positive, optimistic terms, even when the original human text may have been critical or skeptical" "LLMs have begun to change the very criteria that researchers use when evaluating peer-reviewed scientific research" http://arxiv.org/abs/2603.18161 #llm #ai

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