A software developer claims to have reverse-engineered Google DeepMind's SynthID system, showing how AI watermarks can be stripped from generated images or manually inserted into other works. A claim
A software developer claims to have reverse-engineered Google DeepMind's SynthID system, showing how AI watermarks can be stripped from generated images or manually inserted into other works. A claim that, according to Google, isn't true.
The developer, going by the username Aloshdenny, has open-sourced their work on GitHub and documented his process, claiming all it required was 200 Gemini-generated images, signal processing, and "way too much free time." A little weed also seemed to help.
"No neural networks. No proprietary access," Aloshdenny said on Medium. "Turns out if you're unemployed and average enough 'pure black' AI-generated im …
Read the full story at The Verge.
Source: The Verge
