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I think that it kind of is momentous because 2 years ago (and probably even 6-9 months ago) you would have lol'd at what you're using it for today - or at least the confidence you have in it. And if it has somewhat plateau'd now - in terms of model capabilities - it means there is unresolved (and maybe unresolvable) friction still and that's worth exploring. It's cool that it's there, but does it meet up with expectations? And what does and doesn't work?
A lot of stackers are using chatbots (the usage among us seems to be really high thus far, especially if you realize that the alleged global penetration rate is about 1.5B/5.5B) but the problems we feed it are all different, and results do vary, probably through a mix of prompting effort put in, expectations and problem-space alignment. So I'd like to get a better feel for what experiences people have outside of the common ~AI commenters too.
I typically paste my writing and ask it for a critique that covers good bad and ugly.
Interesting. I generally ask "explain x" when I write about something, to make sure I that I am not completely off the mark. Like a double check. But I never say "I wrote this" - to avoid the PC. The other day I was challenging Qwen3 because it was being generic to a specific question and it actually started calling me names, lol. The training must be absurd at times.
Thanks for the thought-provoking response!
While I’m confident about my writing, I turn to AI with the mentality that there is something to fix about it. Probably because I’m writing for audiences in strictly delineated contexts (eg an email to the entire school, an introduction written by sixth graders for national examiners). So, while I’m aware that accepting some of AI’s recommendations means pandering to formulaic/perfunctory writing, I’m quite eager to give up part of my individuality in these contexts haha.
I’m looking forward to reading your analysis in regard to the attitudes various Stackers bear towards AI and how that subsequently shapes the way we use it!
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