this post was submitted on 13 Apr 2024
409 points (98.6% liked)

Technology

59322 readers
5250 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
 

When Adobe Inc. released its Firefly image-generating software last year, the company said the artificial intelligence model was trained mainly on Adobe Stock, its database of hundreds of millions of licensed images. Firefly, Adobe said, was a “commercially safe” alternative to competitors like Midjourney, which learned by scraping pictures from across the internet.

But behind the scenes, Adobe also was relying in part on AI-generated content to train Firefly, including from those same AI rivals. In numerous presentations and public postsabout how Firefly is safer than the competition due to its training data, Adobe never made clear that its model actually used images from some of these same competitors.

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 1 points 7 months ago (1 children)

I'm just talking about synthetic images affect model quality.

[–] [email protected] 1 points 7 months ago (1 children)

It doesn't matter how the image was made. It only matters what it is like and how it is used to affect the model.

[–] [email protected] 2 points 7 months ago

That's what I'm saying. Synthetic images can help your model look better, but if you're aiming for “realistic” output, but synthetic images are fundamentally not real images and too many will bias your model in a slightly different direction.