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> And .. more. It's like the LLM latched on to things that were locally "interesting" writing, but applies them globally, turning the entire thing into a soup of "ah-ha! hey! here!" completely ignorant of the terrible harm it does to the narrative structure and global readability of the piece.

It's like YouTube-style engagement maximization. Make it more punchy, more rapid, more impactful, more dramatic - regardless of how the outcome as a whole ends up looking.

I wonder if this writing style is only relevant to ChatGPT on default settings, because that's the model that I've heard people accuse the most of doing this. Do other models have different repetitive patterns?

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Out of curiousity, for those who were around to see it: was writing on LinkedIn commonly like this, pre-chatGPT? I've been wondering what the main sources were for these idioms in the training data, and it comes across to me like the kind of marketing-speak that would make sense in those circles.

(An explanation for the emoji spam in GitHub READMEs is also welcome. Who did that before LLMs?)

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Thanks a lot, I really appreciate that you took the time for this detailed explanation.
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