What's the advice for LLM poisoning of artwork these days? (lobste.rs)

Concerns over copyright infringement and training data privacy have led many artists to hesitate in sharing their work online, especially in light of large language models (LLMs) that may utilize their art without permission. In response to this issue, discussions have emerged about technical approaches to mitigate the potential for LLMs to inadvertently harvest online artwork for training purposes. Artists are increasingly seeking solutions to protect their creations, leading to inquiries about libraries or tools that can help build custom websites that obscure or deter such usage. For developers, particularly those with limited front-end experience, creating a site that safeguards artwork could involve implementing watermarking, lower resolution images, or even metadata tagging to signal copyright restrictions. These safeguards not only serve to protect the artist's intellectual property but also highlight the growing need for accessible tools that empower creators in the digital age. This development is significant for the AI/ML community as it underscores the ongoing tension between technological advancement and the rights of content creators, fostering a dialogue on ethical AI usage and the responsibilities of companies in utilizing user-generated content.