this post was submitted on 09 Jan 2024
529 points (98.2% liked)

Technology

59374 readers
2960 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
 

‘Impossible’ to create AI tools like ChatGPT without copyrighted material, OpenAI says::Pressure grows on artificial intelligence firms over the content used to train their products

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 3 points 10 months ago

I’m well aware of how machine learning works. I did 90% of the work for a degree in exactly it. I’ve written semi-basic neural networks from scratch, and am familiar with terminology around training and how the process works.

Humans learn, process, and most importantly, transform data in a different manner than machines. The sum totality of the human existence each individual goes through means there is a transformation based on that existence that can’t be replicated by machines.

A human can replicate other styles, as you show with your example, but that doesn’t mean that is the total extent of new creation. It’s been proven in many cases that civilizations create art in isolation, not needing to draw from any previous art to create new ideas. That’s the human element that can’t be replicated in anything less than true General AI with real intelligence.

Machine Learning models such as the LLMs/GenerativeAI of today are statistically based on what it has seen before. While it doesn’t store the data, it does often replicate it in its outputs. That shows that the models that exist now are not creating new ideas, rather mixing up what they already have.