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TimeLordRaps

TimeLordRaps
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AI & ML interests

Music, Methods, and Madness

Recent Activity

liked a model about 9 hours ago
nvidia/GEM-X
commentedon a paper about 9 hours ago
Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration
reacted to Severian's post with 👀 20 days ago
New Technique to Deeply Poison AI on Images and Prove Creative Provenance I've developed a new method to protect creative work from unauthorized AI training. My Poisonous Shield for Images algorithm embeds a deep, removal-resistant poison into the mathematical structure of your images. It's designed to be toxic to machine learning models, achieving up to 20-348% disruption in AI training convergence in benchmark tests. Unlike traditional watermarks, this protection survives compression and resizing and is not removed by standard tools. The technique also embeds cryptographic proof of provenance directly into the image, verifying ownership and detecting tampering. You can see examples and learn more about how and WHY it works better than current methods: https://severian-poisonous-shield-for-images.static.hf.space If you are interested in using this technology to protect your work from AI training and unauthorized use, please reach out to me. It is currently in the prototype phase but fully functioning and effective. Still working on expanding it to a production-grade usable app. This is not intended as a pure self-promotion post. I am genuinely wanting to help creators and want to gauge interest from different communities. I've spent the past year and a half building this from scratch with new math and code to try and solve this massive problem. 
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