It's more about post/message size for me. If ya post a few sentences that clearly and concisely communicate a point, I don't really care if they're crafted or generated. If ya post a wall of text, I wanna know ya put the kind of effort in that made its length necessary if I'm gonna put in the effort to read it.
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Especially ChatGPT is awful for that. You ask it something and it always spews a whole page of content.
At work we use Claude, which does produce better output and also calls out your bullshit. There it's actually helping quite a bit (software development), but of course you have to understand what you are changing and clean things up.
@lemmydividebyzero This happened to me at work. They are really pushing Copilot on us.
To drive up fake usage numbers for justifying the bubble they created to shareholders.
The new manager of my building did it, and it was all unactionable garbage. My direct manager showed me, and he and the other managers used AI to generate the response to it.
AI etiquette
╭─────────────────────────╮ │ I asked ChatGPT and │ │ here's what it told me: │ │ ... │ ╰─────────────────────────╯ ╭─────────╮ │ blocked │ ╰─────────╯
Time to learn AI manners
Chat is just the wrong interface to AI, period. If you use it as an agentic tool with human review, it either works or doesn't and you can keep improving it for the task at hand.
Few days ago a friend linked me a danish research paper and claimed it shown that higher wages for women lead to decrease in children being born, and that higher male wages led to the opposite. I don't have the skills required to parse this kind of paper quickly nor understanding of a lot of the terminology. I told chatGPT to read it and contrast it with the arguments being made, to which it responded with pointing out that the term "marginal net-of-tax wage" meant something different from "wage", and that this paper suggested that tax laws incentivizing working more hours led to lowered fertility rather than higher salaries for women. I was asked to point exactly where in the paper it was said like that, and again, I had to lean on LLM to get me page numbers. I eventualy convinced my friend that he got duped by right wing talking points and got him to think a bit.
So, if I didn't do that and just read the conclusion from the paper I'd probably have to agree with him instead, as just googling it led to the right wing trolls making those claims. Was this a good use case of LLM to get me some counter arguments, or would it have been better if I stayed true to my ideals and not to use those tools? Was I rude by arguing against the point made about a research that neither of us understood from the get go by using genAI to parse through it? While I do agree that companies developing those tools are evil and need to be stopped, there is an utility to it that I don't think is available elsewhere. Would me losing that argument and believing that women should have lower salaries to increase fertility (because I believe in science, and this paper seemed to be referenced a lot, also if anything capitalism would be to blame, so probably not as bad) be better than normalizing the use of the devil-tech but having myself and my friend better informed? I am legitimately not sure, but I think I did the right thing? What should've I done? I don't have the skills nor time nor will to read scientific papers that aren't related to my area of expertise, especially when someone linking them didn't do any research either. I am also genuinely exhausted from defending my left-wing points of view from the constant barrage of underhanded and often completely baseless arguments some of my coworkers and friends make to convince me I'm wrong and the default consensus is right. Is it bad to use genAI to figure out some counterpoints? Or should I give up and admit I'm not good or commited enough to make them myself? Right wing people often argue in bad faith and don't take the counterpoints to heart, but sometimes they do, even if the original point they made was just to rile me up. So, am I the asshole? Am I wrong? I seriously don't know.