this post was submitted on 04 Aug 2024
311 points (90.6% liked)

Technology

59414 readers
2763 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
[–] [email protected] 74 points 3 months ago (15 children)

I'm going to attract downvotes, but this article doesn't convince me he's becoming powerful and that we should be very afraid. He's a grifter, sleezy, and making a shit ton of money.

Anyone who has used these tools knows they are useful, but they aren't the great investment the investors claim they are.

Being able to fool a lot of people into believing the intelligence doesn't make it good. When it can fool experts in a field, actively learn, or solve problems without training on the issue, that's impressive.

Generative AI is just a new method of signal processing. The input signal, the text prompt, is passed through a function (the model) to produce another signal (the response). The model is produced by a lot of input text, which can largely be noise.

To get AGI it needs to be able to process a lot of noise, and many different signals. "Reading text" can be one "signal" on a "communication" channel - you can have vision, and sound on it too - body language, speech. But a neural network with human ability would require all five senses, and reflexes to them - fear, guilt, trust, comfort, etc. We are no where near that.

[–] [email protected] 2 points 3 months ago

And silicons' nowhere near as energy efficient as biological neurons. There needs to be a massive energy breakthrough like fusion or actual biological processors becoming a thing to see any significant improvements.

load more comments (14 replies)