The content about the reasons for different smiles is cool. And the highlighting of the training data influencing things is also good stuff.
But as far as realistic image generation based on culturally relatable smiling sounds like a skill issue. You can’t just generate images about specific times or settings or people with “defaults”. You have to specify your prompt.
This article seems misleading. It uses the loaded Western term “selfie” to generate these images of different cultures smiling. If you use the term “group photo” instead, you get much more natural looking results, where certain cultures are smiling and others aren’t.
Isn’t that the essence of the issue, that those models are loaded with biases, that might or might not overlap with dominant ones in inscrutable ways, hence producing new levels of confusion and indirection?
You are not logged in. However you can subscribe from another Fediverse account, for example Lemmy or Mastodon. To do this, paste the following into the search field of your instance: !technology@beehaw.org
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
just when you are sure this article is going to fluff out on you, it doesn’t.
I was oddly surprised at how I connected with this article. a useful read in a defining epoch.
The content about the reasons for different smiles is cool. And the highlighting of the training data influencing things is also good stuff.
But as far as realistic image generation based on culturally relatable smiling sounds like a skill issue. You can’t just generate images about specific times or settings or people with “defaults”. You have to specify your prompt.
This article seems misleading. It uses the loaded Western term “selfie” to generate these images of different cultures smiling. If you use the term “group photo” instead, you get much more natural looking results, where certain cultures are smiling and others aren’t.
Isn’t that the essence of the issue, that those models are loaded with biases, that might or might not overlap with dominant ones in inscrutable ways, hence producing new levels of confusion and indirection?