this post was submitted on 13 Aug 2023
1072 points (96.0% liked)

Technology

59436 readers
3000 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

As the AI market continues to balloon, experts are warning that its VC-driven rise is eerily similar to that of the dot com bubble.

you are viewing a single comment's thread
view the rest of the comments
[โ€“] match@pawb.social 1 points 1 year ago (1 children)

okay, you write a definition of AI then

[โ€“] sxan@midwest.social 4 points 1 year ago

I'm not the person you asked, but current deep learning models just generate output based on statistic probability from prior inputs. There's no evidence that this is how humans think.

AI should be able to demonstrate some understanding of what it is saying; so far, it fails this test, often spectacularly. AI should be able to demonstrate inductive, deductive, and abductive reasoning.

There are some older AI models, attempting to similar neural networks, could extrapolate and come up with novel, often childlike, ideas. That approach is not currently in favor, and was progressing quite slowly, if at all. ML produces spectacular results, but it's not thought, and it only superficially (if often convincingly) resembles such.