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G I have a problem with people saying A.I. did this or it did that, it copied some… ytc_UgxN6zQiZ… G The title of this video is false. Neither of the clips you guys showed were AI v… ytc_UgwkWxLaC… G AI suits humans because humans are fake anyway so it is an ideal marriage for on… ytc_UgyGPlpmq… G If you fire everyone for AI, the macroeconomy collapses because without jobs, th… ytc_UgxoKmj3U… G It's almost like there's more than memorizing sentences. AI isn't trusted when i… ytc_UgzSaTH3u… G This is exactly what I was thinking the whole video. Like she can't even give on… ytr_Ugxj5hdKb… G I write about these in my newsletter. Basically Google simulation paper + NeRF’s… rdc_jghr7e5 G how can a CNBC reporter be so stupid.... one robot can train another robot if t… ytc_UgxaLe-yc…

Comment

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