New Tech Gives Artists A Fighting Chance In The Battle Against Generative AI

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Stable Diffusion,Midjourney,Karla Ortiz

I am an author, consultant and educator with a professional interest in the business implications of new media and a personal passion for comics and visual communication.

Share to LinkedinWhen generative AI art tools like Dall-E, Stable Diffusion and Midjourney first appeared in 2022, they dazzled users by producing complex images in a variety of artistic and photographic styles from simple text prompts. But the novelty of the technology soon gave way to questions and concerns.

Now this effort is receiving support from an unexpected quarter: tech entrepreneurs and researchers building countermeasures to help creators and consumers restore some reality to an increasingly surreal AI-dominated landscape.

“Think of Nightshade as technical enforcement of copyright,” Zhao says. “If you disrespect the copyright by training on content without the owner’s consent, it will start to eat your model from the inside and cause all sorts of corruption, leading to complete model collapse.” “Swear is a company with a single focus: protecting the authenticity of digital content,” said Jason Crawforth, founder and CEO of Swear. “While you're recording something—I'll use video as an example since it's the most evocative type of content—whether it’s on a smartphone, a police body cam, or a security camera, we capture frames, visual aspects, audio aspects, and metadata. For a smartphone video, for instance, we create a fingerprint of every frame in real time.

 

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