ATENCIÓN a todos los MÚSICOS en la sala!. El equipo de Glaze / Nightshade / Hemlock necesitan voluntarios para participar en un breve cuestionario para evaluar su capacidad para distinguir entre música generada por IA y música compuesta por humanos. Es importante para ayudar en su investigación! 🙏

🔵 https://uchicago.co1.qualtrics.com/jfe/form/SV_39vyYBpNbwWigt0

📌 Study Title: Detecting AI Generated Music

#music #musica #AI #IA #genAI #survey #glaze #study #research

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Glaze and Nightshade ‪@theglazeproject.bsky.social‬ Another favor to ask on a research project. We're wrapping up a large project on AI music. We need folks to participate in a short 10 min quiz to test your ability to distinguish between AI music & human music. Especially looking for help from musicians!

From their "What is Nightshade?" page:

Since their arrival, generative AI models and their trainers have demonstrated their ability to download any online content for model training. For content owners and creators, few tools can prevent their content from being fed into a generative AI model against their will. Opt-out lists have been disregarded by model trainers in the past, and can be easily ignored with zero consequences. They are unverifiable and unenforceable, and those who violate opt-out lists and do-not-scrape directives can not be identified with high confidence.

In an effort to address this power asymmetry, we have designed and implemented Nightshade, a tool that turns any image into a data sample that is unsuitable for model training. More precisely, Nightshade transforms images into "poison" samples, so that models training on them without consent will see their models learn unpredictable behaviors that deviate from expected norms, e.g. a prompt that asks for an image of a cow flying in space might instead get an image of a handbag floating in space.