Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Recent text-to-image diffusion models such as MidJourney and Stable Diffusion threaten to displace many in the professional artist community. In particular, models can learn to mimic the artistic style of specific artists after "fine-tuning" on samples of their art. In this paper, we describe the design, implementation and evaluation of Glaze, a tool that enables artists to apply "style cloaks" to their art before sharing online. These cloaks apply barely perceptible perturbations to images, and when used as training data, mislead generative models that try to mimic a specific artist. In coordination with the professional artist community, we deploy user studies to more than 1000 artists, assessing their views of AI art, as well as the efficacy of our tool, its usability and tolerability of perturbations, and robustness across different scenarios and against adaptive countermeasures. Both surveyed artists and empirical CLIP-based scores show that even at low perturbation levels (p=0.05), Glaze is highly successful at disrupting mimicry under normal conditions (>92%) and against adaptive countermeasures (>85%).
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The Myth of the Instant Cake Mix
How to think about creative tooling in the new world of generative AI
Unmasking Synthetic Realities in Generative AI: A Comprehensive...
The rapid advancement of Generative Artificial Intelligence has fueled deepfake proliferation-synthetic media encompassing fully generated content and subtly edited authentic material-posing...
Generative AI is eating culture. See how close it’s getting to disrupting dance – The Markup
Dancers say their craft can’t be duplicated by AI. Our tests show they’re right — for now.
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
Pluralistic: Copyright won't solve creators' Generative AI problem (09 Feb 2023)
The media spectacle of generative AI (in which AI companies' breathless claims of their software's sorcerous powers are endlessly repeated) has understandably alarmed many creative workers, a group that's already traumatized by extractive abuse by media and tech companies.
Generative UI: The AI agent is the front end
In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look.
SlopTracker — Exposing AI-Generated Artists on Spotify
AI-generated artists are flooding Spotify, racking up millions of streams, and siphoning revenue from real musicians. See the receipts.
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Build and train sophisticated AI agents using LangGraph with ART's reinforcement learning
The Edge of Mathematics
Terence Tao, the legendary mathematician, explains the promise of generative AI.
Why A.I. Isn’t Going to Make Art
To create a novel or a painting, an artist makes choices that are fundamentally alien to artificial intelligence.
‘It has your name on it, but I don’t think it’s you’: how AI is impersonating musicians on Spotify
Fraudulent music streams have long been a scourge for the industry, but experts say generative AI has supercharged it
Identifying AI-generated images with SynthID
Today, in partnership with Google Cloud, we’re beta launching SynthID, a new tool for watermarking and identifying AI-generated images. It’s being released to a limited number of Vertex AI customers using Imagen, one of our latest text-to-image models that uses input text to create photorealistic images. This technology embeds a digital watermark directly into the pixels of an image, making it imperceptible to the human eye, but detectable for identification. While generative AI can unlock huge creative potential, it also presents new risks, like creators spreading false information — both intentionally or unintentionally. Being able to identify AI-generated content is critical to empowering people with knowledge of when they’re interacting with generated media, and for helping prevent the spread of misinformation.
51 Ways to Spell the Image Giraffe: The Hidden Politics of Token Languages in Generative AI
Generative AI models don't operate on human languages – they speak in **tokens**. Tokens are computational fragments that deconstruct lan...
