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G these tech bros just hate art, artists and humanity they fetishize the idea of t… ytc_UgxlqvSDm… G agreed. as a homeschooling mom i noticed posts from parents that if they rely on… ytr_Ugxkv7Qkh… G @Escanor4473 "Certain group" always add issues since centuries ago because hum… ytr_UgwUX5Xo8… G I am one who says please and thank you to the AIs that I work with. At the same … ytc_Ugwpeh1HX… G The question about camera’s capability at autonomous driving is definitely a wor… ytc_UgyGXuquf… G 'those people' aren't changing their votes over an image's authenticity. They wo… rdc_lqa9vnb G I hope I live long enough to see dudes taking their sex bots out to the movies. … ytc_UgwWvF7yq… G Did anyone see the title was A man asked AI for health advice and every brain c… ytc_UgzznIqFd…

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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

Dimension	Value
Responsibility	ai_itself
Reasoning	consequentialist
Policy	liability
Emotion	indifference
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgxtRIHfJlHEdBUBojt4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzYfeqXZwxV9I3qBS54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx_9A7PQsXo7DOWxHB4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzFpSMe_GiYfzmBprp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwCw4ktFyMUkGsWtut4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzasgyzhtMHCTe7V454AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzxbZ7gqNUh0YDq5-h4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugxo6mmuMaAPEkHQ60V4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxXJbHN8vAc5b29X2h4AaABAg","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"mixed"},
{"id":"ytc_Ugxw8br1d_GlB8CL8VV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"indifference"}
]

Raw LLM Responses