this post was submitted on 12 Oct 2024
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[–] Technus@lemmy.zip 104 points 1 month ago (17 children)

These models are nothing more than glorified autocomplete algorithms parroting the responses to questions that already existed in their input.

They're completely incapable of critical thought or even basic reasoning. They only seem smart because people tend to ask the same stupid questions over and over.

If they receive an input that doesn't have a strong correlation to their training, they just output whatever bullshit comes close, whether it's true or not. Which makes them truly dangerous.

And I highly doubt that'll ever be fixed because the brainrotten corporate middle-manager types that insist on implementing this shit won't ever want their "state of the art AI chatbot" to answer a customer's question with "sorry, I don't know."

I can't wait for this stupid AI craze to eat its own tail.

[–] ContrarianTrail@lemm.ee 1 points 1 month ago (1 children)

The current AI discussion I’m reading online has eerie similarities to the debate about legalizing cannabis 15 years ago. One side praises it as a solution to all of society’s problems, while the other sees it as the devil’s lettuce. Unsurprisingly, both sides were wrong, and the same will probably apply to AI. It’ll likely turn out that the more dispassionate people in the middle, who are neither strongly for nor against it, will be the ones who had the most accurate view on it.

[–] lvxferre@mander.xyz 2 points 1 month ago

It’ll likely turn out that the more dispassionate people in the middle, who are neither strongly for nor against it, will be the ones who had the most accurate view on it.

I believe that some of the people in the middle will have more accurate views on the subject, indeed. However, note that there are multiple ways to be in the "middle ground", and some are sillier than the extremes.

For example, consider the following views:

  1. That LLMs are genuinely intelligent, but useless.
  2. That LLMs are dumb, but useful.

Both positions are middle grounds - and yet they can't be accurate at the same time.

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