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@TheMemily Eletriptan (Relpax) para los episodios de migraña, y Topiramato todo los días como preventivo. Desde que estoy con este combo tengo menos episodios y me duran menos.
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This is utterly fascinating. We’ve known code written by AI is harder to untangle. It appears this is the case with writing as well.
Tricia is an editor and she says that when an author submits work that is written by AI, she has a much harder time editing it. It’s all one interconnected black-box piece of writing that is not amenable to change. Whereas she finds that human writing, while seemingly messier, is actually much more structurally straightforward.
My theory as to why this is is that LLMs think one token at a time. And after every token, they essentially look back and ask, “have I said the thing the prompt wants me to say?” If not, it keeps elucidating.
The result is tight chain of thought writing that requires each preceding token to make sense of the next.
Whereas human writing starts from a pre-language idea in the author’s head, and looks forward many sentences and paragraphs ahead to approximate the author’s intent.
It’s somewhat fuzzy. But I think LLMs fundamentally “think” in a much different way than humans. They are certainly not useless. But I think it’s a grave mistake to equate them with human intelligence.
Tricia Dearborn@TriciaDearborn
If you're thinking about using gen-AI to "write" books, this 🧵 is for you. I’m a highly experienced editor who’s been in the biz a long time. Recently I’ve had manuscripts come to me where the author has used gen-AI – not for writing, I’ve been assured, but for
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not this rat learning to drive before i do
__eloïse__@dundereloise
I'm in this facebook group where they're teaching their rats to drive > Spark is picking up speed and confidence on the triple-barrier course! She’s still learning how to take each corner wide (as she accomplishes with the first two) rather than tight (like the last, which stumps her).
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