this post was submitted on 23 Nov 2024
360 points (89.3% liked)

Technology

59978 readers
3663 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 2 years ago
MODERATORS
L3s
[email protected]
[email protected]
L4s
enu
360
OpenAI, Google, Anthropic admit they can’t scale up their chatbots any further (pivot-to-ai.com)
submitted 3 weeks ago* (last edited 3 weeks ago) by [email protected] to c/technology
88 comments fedilink hide all child comments
 

I'm usually the one saying "AI is already as good as it's gonna get, for a long while."

This article, in contrast, is quotes from folks making the next AI generation - saying the same.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 41 points 3 weeks ago (18 children)

It's pretty obvious that they will hit a ceiling.

Quick buck is over. And now it's time again for base research to create better approach.

I really wish we had a really advanced AI with reasonable resource consumption within my lifetime. I don't think it's unreasonable as we have got really far in the last 30 years of computational technology.

[–] [email protected] 15 points 3 weeks ago (3 children)

We've come a long way in computing, but the computational power difference between a human brain and a computer is significant. LLMs were just a smart way to have computers learn pattern recognition. While important, it isn't anything close to artificial general intelligence (AGI), which is what the term AI usually means.

[–] Homescool 4 points 3 weeks ago (1 children)

Yeah.   AI may grind for a while but hardly anyone has put the current stuff to work, yet.   We will be feeling the benefits of what is released right now for a decade to come.   I am working on a very rudimentary application that will use ML at work and it won't come out for 12 more months, and it hardly does anything but make the most obvious decisions 10m times faster than I can.   But it's going to fundamentally change our labor model.    

There are regular folks applying amazing technologies that go way beyond content generation.      

The tech may grind but the application of that tech is barely getting its feet and should run hard for a decade.

[–] [email protected] 1 points 3 weeks ago (1 children)

You’re not using a typewriter.

[–] [email protected] 1 points 3 weeks ago

How to tell someone uses Hacker News without asking:

load more comments (1 replies)
load more comments (15 replies)