Raw LLM Responses

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Comment
It is unfortunately a cat-and-mouse game. Every time you come up with a solution that prevents Image scraping and training, a AI engineer is working on ways to overcome just that. Poisoning works because of how it manipulates what the AI sees when if tries to learn from the image. Edge detection fails when it sees a gargled mess, hence the poisoning works. BUT... what if the AI does something to the image that normalises the image before processing it? Like, you cant see the poisoning, meaning a human isn't sensitive enough to see the artifacts. What if the bot "fixes" the image to where is doesn't have that artifacting before being fed into the model? But i agree with the sentiment. If its used without permission, then it is stolen work. And don't even get me started on using the generated images to harass people. Thats just evil. I think a paradigm shift is needed and poisoning isn't really the answer. It works... for now... so we use that while the next solution is cooking.
youtube Viral AI Reaction 2024-10-23T11:4…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyindustry_self
Emotionresignation
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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