this post was submitted on 12 Oct 2024
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223
Reasoning failures highlighted by Apple research on LLMs (appleinsider.com)
submitted 2 weeks ago by Timely_Jellyfish_2077 to c/[email protected]
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[–] [email protected] 1 points 2 weeks 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.

[–] [email protected] 2 points 2 weeks 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.