this post was submitted on 25 Aug 2024
328 points (92.5% liked)

Technology

58138 readers
4800 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
you are viewing a single comment's thread
view the rest of the comments
[–] CarbonatedPastaSauce@lemmy.world 317 points 3 weeks ago (37 children)

The only people who would say this are people that don’t know programming.

LLMs are not going to replace software devs.

[–] tias@discuss.tchncs.de 33 points 3 weeks ago (9 children)

AI as a general concept probably will at some point. But LLMs have all but reached the end of the line and they're not nearly smart enough.

[–] li10 8 points 3 weeks ago (7 children)

LLMs have already reached the end of the line 🤔

I don’t believe that. At least from an implementation perspective we’re extremely early on, and I don’t see why the tech itself can’t be improved either.

Maybe it’s current iteration has hit a wall, but I don’t think anyone can really say what the future holds for it.

[–] mashbooq@infosec.pub 6 points 3 weeks ago

I'm not trained in formal computer science, so I'm unable to evaluate the quality of this paper's argument, but there's a preprint out that claims to prove that current computing architectures will never be able to advance to AGI, and that rather than accelerating, improvements are only going to slow down due to the exponential increase in resources necessary for any incremental advancements (because it's an NP-hard problem). That doesn't prove LLMs are end of the line, but it does suggest that additional improvements are likely to be marginal.

Reclaiming AI as a theoretical tool for cognitive science

load more comments (6 replies)
load more comments (7 replies)
load more comments (34 replies)