this post was submitted on 21 May 2024
509 points (95.4% liked)
Technology
60024 readers
3593 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
It does learn from real images, but it doesn't need real images of what it's generating to produce related content.
As in, a network trained with no exposure to children is unlikely to be able to easily produce quality depictions of children. Without training on nudity, it's unlikely to produce good results there as well.
However, if it knows both concepts it can combine them readily enough, similar to how you know the concept of "bicycle" and that of "Neptune" and can readily enough imagine "Neptune riding an old fashioned bicycle around the sun while flaunting it's tophat".
Under the hood, this type of AI is effectively a very sophisticated "error correction" system. It changes pixels in the image to try to "fix it" to matching the prompt, usually starting from a smear of random colors (static noise).
That's how it's able to combine different concepts from a wide range of images to create things it's never seen.