Less than a week after Meta unveiled AI-generated stickers in its Facebook Messenger app, users are already abusing it to create potentially offensive images and sharing the results on social media, reports VentureBeat.
In particular, an artist named Pier-Olivier Desbiens posted a series of virtual stickers that went viral on X on Tuesday, starting a thread of similarly problematic AI image generations shared by others.
Meta uses its new Emu image synthesis model to create them and has implemented filters to catch many potentially offensive generations.
This isn’t the first time AI-generated imagery has inspired threads full of giddy experimenters trying to break through content filters on social media.
It’s difficult to catch all the potentially harmful or offensive content across cultures worldwide when an image generator can create almost any combination of objects, scenarios, or people you can imagine.
If past instances are any indication, when something offensive gets wide attention, the developer typically reacts by either taking it down or strengthening built-in filters.
The original article contains 534 words, the summary contains 165 words. Saved 69%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Less than a week after Meta unveiled AI-generated stickers in its Facebook Messenger app, users are already abusing it to create potentially offensive images and sharing the results on social media, reports VentureBeat.
In particular, an artist named Pier-Olivier Desbiens posted a series of virtual stickers that went viral on X on Tuesday, starting a thread of similarly problematic AI image generations shared by others.
Meta uses its new Emu image synthesis model to create them and has implemented filters to catch many potentially offensive generations.
This isn’t the first time AI-generated imagery has inspired threads full of giddy experimenters trying to break through content filters on social media.
It’s difficult to catch all the potentially harmful or offensive content across cultures worldwide when an image generator can create almost any combination of objects, scenarios, or people you can imagine.
If past instances are any indication, when something offensive gets wide attention, the developer typically reacts by either taking it down or strengthening built-in filters.
The original article contains 534 words, the summary contains 165 words. Saved 69%. I’m a bot and I’m open source!