¡Más recursos de resistencia ante la IA! 🔥 Karen Hao y un tremendo equipo han listado algunos de los movimientos de resistencia contra los imperios que sostienen actualmente la IA. Incluido Nightshade, del team GLAZE! ✊

🔗 https://airesistlist.org/

«Nada de lo que ocurre en la trayectoria actual del desarrollo de la IA es inevitable» 🎯

#AI #tech #technology #genAI #generativeAI #BigTech #Empire #KarenHao #Glaze #Nightshade #resistance #data #surveillance #labor #extraction #policy #ethics

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THE AI RESIST LIST Our nine pillars Narrative Funding Data Data Centers Resource Extraction Labor Adoption Surveillance Policy https://airesistlist.org/ Nightshade Nightshade is a tool that transforms images into "poison" samples, so that models training on them without consent will see their models learn unpredictable behaviors. It works by changing the composition of images in a way that is barely visible to the human eye, but completely changes how the image is interpreted by a generative AI model. Designed for artists to apply on their artworks before publishing them on the internet, Nightshade's goal is to increase the cost of training on unlicensed data such that licensing images from their creators becomes a viable alternative. Public backlash against Bytedance’s video-generation model ByteDance, TikTok's parent company, faced public backlash earlier this year after its new AI video-generation model SeeDance 2.0 was caught breaching user privacy. For example, in a video clip that went viral, a popular Chinese video blogger demonstrated how the AI model generated a video with his real voice when all he had uploaded was a self-portrait. After the wave of criticism, ByteDance temporarily suspended the portrait-uploading function in the software.

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.