Raw LLM Responses

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as a programmer that knows about some ai, i can confirm that this can indeed help confuse labeling ai's ( for prompts ) , and potentially screw all over image generators training data. however, these labeling ai's can use these poisoned data to train against them. ( these poisoned images are basically images with cleverly created noise that activates the parts of similiar but different parts of the ai to trick them ) the best thing you could do is add poisoning to your artwork, with some additional images that are not visible by the human eye ( i can't guarantee that this will work ) and if the app you are using to post these images allow labeling or naming these images, label them with different things. ( such as name your image based on the flowers in the background instead of the character itself ) also, the reason why ai image detectors might label poisoned images as ai generated is because the ai's filters used in creating the image is added to the image, and that is what the ai detectors are searching for. from what i see these image poisoning softwares mainly target stable diffusion. have fun destroying ai image generators
youtube Viral AI Reaction 2024-11-02T20:3… ♥ 1
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policyliability
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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