Thoughts on writing with generative AI

I’ve been attempting to use generative AI to help me write documentation because there’s so much pressure to be able to say you’re using it right now, and I honestly think the outputs are unusable without essentially rewriting the whole thing.

I find the outputs are:

  • Excessively verbose (please get to the point)
  • Subtly incorrect, and I’d rather just research and write correct information than spend time fact checking AI
  • Not quite what I want, because the machine can’t read my mind, and I feel like prompting it correctly and then fact checking and editing the output would be more time consuming than just writing the damn thing
  • Just like, tonally weird

I don’t know, it’s a weird experience. I will give it this:

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We need more cross-disciplinary interaction than ever

In this day and age, we need more cross-disciplinary interaction than ever, because technology has rapidly become everyone’s problem in a way it wasn’t before, and we all need to have common language to discuss what is happening.

I was listening to an English grad student talk about the environmental impact of “algorithms” during an academic panel today, and while I know that what he was talking about was really generative AI, technical people aren’t going to take you seriously if while critiquing them, you start conflating generative AI with algorithms in general.

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Getting to the End of the Thought; or, Why Write in the Age of AI?

I’ve been thinking a lot about the value of writing recently, especially in regard to how it’s been influenced by the advent of generative AI. In the past few months, I’ve had a lot of conversations in which people claimed that generative AI is just as good at writing as humans now, or better, in many cases. While I agree that AI generation tools are, at this point, better at the mechanics of writing than the average person, I have always found their outputs to be shallow and devoid of interesting surprises.
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AI was never about democratizing creativity

I’ve started thinking a little bit about creativity in the context of AI. If you’ve known me for several years, you might be aware that I’m really not a fan of the word “creativity” or of its noun and adjective form “creative”. I’ve mellowed on it a little bit over the years, but generally speaking I still believe that it’s a wildly misused buzzword with dubious meaning in the average colloquial setting, and that lots of people actually have no idea what creativity is. It really bothers me when people conflate creativity with artistic ability, or when people act like it’s some sort of gene you either have or don’t, instead of understanding that it’s a skill you can improve. But in a lot of ways, it’s the best word we have, and so I’m going to use it today.

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