I posted a similar topic early today but worded it wrong that was my mistake. I’m genuinely curious how people have reached to this point and what they hope to achieve after. I understand getting rid of AI/LLM is the obvious one. What do you think we should do to get to that goal or personal goal.
It’s really super simple what turned me against it. The absolute torrent of mindless garbage. Blogs and articles, and videos, and people who can’t hold a conversation without saying “Hang on, let me ask ChatGPT”, garbage code that people submit and demand I fix because “Claude said it should work” only to find out they couldn’t explain what it does or why, let alone figure out how it works themselves. The absolute sea of AI generated spam, the robo-calls, the infinite, endless baying of, infinite idiot electric sheep. People who literally cannot read without a chat bot reading it to them.
This is hell. This is hell and every single AI is an legion of demons, and all I have to slay it is the lump of bacon-flavoured jello with anxiety between my ears to slay all the trash it generates.
What should we do about it? I’m not putting that on the internet. Nice try though. If you want to fix it, you fix it by abandoning the digital wherever possible and living in the real world. Touching grass, talking face to face with real human beings. You’re not going to find the solutions in digital spaces. You find them in the faces and hands of your neighbours.
slazer2au@lemmy.world 6 days ago
It’s being pushed into situations where having a black box of probability is not what you want. Support bots as an example, you want the same outcome for the same problem. Not a different outcome because someone didn’t put a question mark.
You don’t want the bot being able to hijack an account because it was asked in the specific way. See Facebook support bot.
You don’t want a chat bot to tell airline customers they can do something when the airline has a FAQ section specifically saying no you can’t.
See American express support bot.
It’s used as a workforce reduction mask.
Businesses are using AI rollouts to lower the number of front line employees. Only for the tool to fail.
See Oracle firing 7,000 people to boost ai numbers
It’s oversold:
When Gardner says only 30% of AI deployments work as sold after asking over 700 IT executives why are people still treating it as anything but a broken tool?
For a black box of probability it is terrible at maths. There has been instances of AIs failing high school math tests.