this post was submitted on 05 Nov 2023
217 points (94.3% liked)

Technology

58133 readers
4510 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
 

AI companies have all kinds of arguments against paying for copyrighted content::The companies building generative AI tools like ChatGPT say updated copyright laws could interfere with their ability to train capable AI models. Here are comments from OpenAI, StabilityAI, Meta, Google, Microsoft and more.

you are viewing a single comment's thread
view the rest of the comments
[–] Bgugi@lemmy.world -3 points 10 months ago (1 children)

You could say the same about humans.

[–] echo64@lemmy.world 5 points 10 months ago* (last edited 10 months ago) (1 children)

no, you literally can not. Maybe if you were a techbro that doesn't really understand how the underlying systems work but you have seen sci-fi and want to use that to describe the current state of technology.

but you're still wrong if you try.

[–] Bgugi@lemmy.world 0 points 10 months ago (1 children)

Yes, you literally can. At the very deepest level, neural networks work in essentially the same way actual neurons do. All "learning," artificial or not, is biasing the interconnections and firing rates between nodes "biasing" them for desired outputs.

Humans are a lot more complicated in terms of size and architecture. Our processing has many more layers of abstraction and processing (understanding, emotion, and who knows what else). But fundamentally the same process is occuring: inputs + rewards = biases. Inputs + biases = outputs.

[–] echo64@lemmy.world 2 points 10 months ago

At the very deepest level, neural networks work in essentially the same way actual neurons do.

they do not, neural networks were inspired by neurons, it's a wild oversimplification of both neural networks and neurons to state that hey work the same way, they do not. This is the kind of thing the sci-fi watching tech bros will say, but it's incorrect to say.