this post was submitted on 18 Sep 2024
155 points (94.3% liked)

Technology

59299 readers
4547 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 1 month ago* (last edited 1 month ago) (1 children)

Google is planning to roll out a technology that will identify whether a photo was taken with a camera, edited by software like Photoshop, or produced by generative AI models.

So they are going to use AI to detect AI. That should not present any problems.

[–] [email protected] 23 points 1 month ago (1 children)

They're going to use AI to train AI*

So nothing new here

[–] [email protected] 9 points 1 month ago (1 children)

Use AI to train AI to detect AI, got it.

[–] [email protected] 8 points 1 month ago (1 children)

Yes, it's called a GAN and has been a fundamental technique in ML for years.

[–] [email protected] 3 points 1 month ago (1 children)

Yeah but what if they added another GAN to check the existing GAN. It would fix everything.

[–] [email protected] 3 points 1 month ago

My point is just that they're effectively describing a discriminator. Like, yeah, it entails a lot more tough problems to be tackled than that sentence makes it seem, but it's a known and very active area of ML. Sure, there may be other metadata and contextual features to discriminate upon, but eventually those heuristics will inevitably be closed up and we'll just end up with a giant distributed, quasi-federated GAN. Which, setting aside the externalities that I'm skeptical anyone in a position of power to address is equally in an informed position of understanding, is kind of neat in a vacuum.