this post was submitted on 04 Sep 2026
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What's your overall opinion on generative AI? (lemmy.world)
submitted 1 day ago by LeftReddit2@lemmy.world to c/asklemmy@lemmy.world
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Just gonna say it, back in like 2019-2023, I was EXTREMELY pro AI. I messed around with OpenAI's playground thing, messed around with that Dall-E Mini/craiyon thing, and was one of the first to hop on ChatGPT when it came out.

I had this really dumb opinion that it's just fun stuff to mess around with! This isn't gonna do any real harm! Thinking, stupidly, that most people wouldn't use it to like replace writers or just do their work for them.

It was around 2024 I became a lot more skeptical of it. I kept seeing slop art in like local restaurants and even this one club I used to hit up that I absolutely don't anymore. And the amount of time people say "I asked ChatGPT" drives me up the wall.

Like are you third partying your thinking!? And seeing it just dominate Facebook, Reddit, Twitter, and TikTok also made me begin to lose it. It was literally the Dead Internet Theory becoming a fact. I felt like such an idiot for being pro-AI and thinking people would use it wisely.

That said, I'm not exactly anti-AI, to be fair. I have local LLM models on my computer running through LMStudio if I ever have want or need of these chatbots. It makes it way harder to use it and my poor gaming laptop screams for mercy every time I want to use Qwen, so I dunno.

I guess I'd say I'm AI-Skeptical and leaning more toward negative. But this isn't about me, it's about you. What do you feel about generative AI?

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[–] red_tomato@lemmy.world 5 points 1 day ago* (last edited 1 day ago)

Mixed feelings. I’m kind of an AI pilled doomer.

I see that AI can be a productivity boost - if used correctly in the right places. But I’m also increasingly worried that it might one day replace any work that’s done on a computer (which is most white collar work).

I’m doing a lot of data processing work. I’ve been able to see AI do all this in one go:

  • Read a vague Jira task item about some data error.
  • Diagnose on real data what the underlying problem might be.
  • Find the line of code that need to be changed.
  • Rerun the data pipeline with the new line of code.
  • Verify on new data that the error has been fixed.
  • Submit a pull request describing the change with a detailed report on impact analysis.

Is it perfect? No, it’s often making mistakes and digs deep into the wrong rabbit holes. But is it crazy that it has managed to do all of this once? Yes it is. This was unimaginable just a few years ago.

If this level of automation going to continue in this pace, what’s left for us humans?