Glaze: A Tool to Protect Artists' Work from Unauthorized AI Training
By
weinzierl
The kind of bagel that ruins lesser bagels for you.
Summary
The article discusses Glaze, a tool designed to protect artists' work from being used to train AI models without consent. It addresses how generative AI models like MidJourney and Stable Diffusion are trained on scraped datasets containing copyrighted and private images, often without artists' knowledge or compensation. Glaze appears to be a technical solution that helps artists safeguard their creative work from unauthorized AI training by making their art less useful for machine learning purposes.
Key quotes
· 3 pulledGenerative AI models have changed the way we create and consume content, particularly images and art.
Diffusion models such as MidJourney and Stable Diffusion have been trained on large datasets of scraped images from online, many of which are copyrighted, private, or sensitive in subject matter.
Many artists have discovered significant numbers of their art pieces in training data such as LAION-5B, without their knowledge, consent, credit or compensation.
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