The tool embeds a digital “watermark” directly into the image that can’t be seen by the human eye but can be picked up by a computer that’s been trained to read it.
Is gonna be helpful for keeping AI generated images out of training sets. It would require the people who make the model to actually implement that tool into their model.
I don’t think most researchers not affiliated with google will chose to do that.
Most major developers of AI generated imagery, at least the corporates, will do it as they share the common interest of not polluting their sample data. Open source imagery might make it optional, but the functionality will be implemented. Either the PRs will be submitted by one of the corporations, or marketing like this article will convince the devs to implement it.
Remember, they don’t need EVERYBODY to implement it. As long as this reduces the amount of unmarked AIgen images by a reasonable percentage, it’s worth doing for them.
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I don’t think that:
Is gonna be helpful for keeping AI generated images out of training sets. It would require the people who make the model to actually implement that tool into their model.
I don’t think most researchers not affiliated with google will chose to do that.
Most major developers of AI generated imagery, at least the corporates, will do it as they share the common interest of not polluting their sample data. Open source imagery might make it optional, but the functionality will be implemented. Either the PRs will be submitted by one of the corporations, or marketing like this article will convince the devs to implement it.
Remember, they don’t need EVERYBODY to implement it. As long as this reduces the amount of unmarked AIgen images by a reasonable percentage, it’s worth doing for them.