Adding AI tools to Scrivener

Ha! This is both wrong in the inference and in the conclusion.

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No, it isn’t. But that’s just the first level of how communication works in large companies.

You seem to know your stuff. Okay, let’s move on to level two. I know that you know that I know
 but we’re all playing along.

I truly hope Scrivener doesn’t add any AI features. They’re talking about paring down the app to take away distractions. Nothing is more distracting than AI.
The only feature I wish they’d add is touchscreen scrolling.

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That’s not in the least bit tru
 You know what, I’m not going to get sucked into this one. Yes, you’re absolutely right. Thanks for picking me up on it.

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Well yes, it’s quite obvious that the primary “advantages” of AI are low cost and lack of autonomy.

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Counter: The cost is vast, and they make up stuff randomly.

No argument here. I expect they’ll be a lot less appealing once they start passing the costs on to users, rather than letting VCs subsidize them.

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Just remember, we’re at the beginning of what’s coming.

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I summarize what I suggested and I add new ideas for AI in Scrivener:

  • Crafting RegExp based on a purpose description (can be done on external tool easily)
  • Counting words frequency in a smarter way (sometimes no need for a report on some common word)
  • Tag (meta or copy in sub doc) all dialogue lines by character (deducing implicit attribution), so that we can explore the voice of each and check the words being used.
  • Get the big picture with a colorful map: parts rich in descriptions, rich in dialogues, in emotion or sensory, etc, and parts deprived of those. And pace, etc.

I hope suggestions don’t get lost too much in the flow here (did it become a general discussion on AI?)

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FWIW, since LLMs burst onto the scene, we’ve seen at least as many people saying they don’t want AI anywhere near their Scrivener projects as we have requests like this.

Our position remains that the decision about whether to use AI tools at all, and which ones to adopt, is best left to individual users.

Our most recent comment on AI is here:

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I don’t speak for everyone my writing community, but if AI tools were to be baked into Scrivener, I think many (most?) of our writers would walk away. I don’t say that lightly. It’s a hot topic on our busy wee Discord of known authors and new writers.

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That stance is fine by me.

Actually the features I mentionned, which aren’t generative AI, would be best provided by some external pluggin (to not add too much to Scrivener code).

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The author of this article in HuffPost expressed a view I hold:

I don’t use AI for anything in my academic or personal life. I value almost nothing more than my ability to think and to freely express myself. Even when I make mistakes, at least they are my mistakes.

It’s worth a read.

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Will Teague (the professor). Using the idea of Trojan horse to trap the cheaters is great! I’ll remember that.

However, he only speaks of generative AI, when just saying “AI”.

Otherwise, first he would be wrong: he is already using one form of AI or another on a daily basis, even long before chatgpt, without knowing.
And second, where does he draw the line? Like with a classic spell and grammar tool. To the extreme: Is he counting words by hands? Where ‘intelligence’ begin here?

And, besides RegExp suggestions (not a human language), all my AI ideas for a writer’s tool are not generative. I guess his views don’t apply for this case.

(edit grammar)

It would require pretty sophisticated natural language processing to identify “rich in description, etc” and to tag dialogue by character. These days, the leading edge of natural language processing is occupied by LLMs.

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Easier done with GPT / LLM (as a starting point), yes, I guess. Especially if it’s about finding emotions (descriptions would be easier to detect with a classic algorithm).

That said, its task wouldn’t be to spurt out words (generate human language). I see that closer to word counting. No fake creativity needed. No intrusion on that side. All doable by people with poor writing skills, given a bit of time to read, so it’s not like the common use of LLM.

I just watched a video that rather makes my point. Predicting the future is always a bit of gazing into a crystal ball, but this one resonates with my own thinking:

(Yes, I know, it’s definitely “out there.” Still, it’s worth watching.)

On the other hand


Confirmation bias is real! The ones that resonate are the ones that should be questioned the most rigorously.

I won’t bore you with the rabbit hole I went down trying to check out Ms. McCoy’s credentials. I’ll just say that most consulting firms make their teams’ resumes a lot more visible. There’s a lot of sizzle, but I’m not seeing much steak.

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