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G The greatest danger of any AI is that comments on a mass scale and false attenti… ytc_Ugy0ycWbs… G Make art = no money Make nfsw art = certain money for basic needs Make ai art = … ytc_UgzLgPVyS… G AI will convenience your life by allowing more free time to scroll on your phone… ytc_UgxTa26iK… G So mega corporations lay off thousands of workers because they overhired during … ytc_UgxaZ-N4F… G That’s good to hear. It reinforces the idea that smaller scale specific, niche t… ytr_UgwfyhwOI… G @patrickstar5136 As I tried to explain before, obfuscation ≠ learning. It's been… ytr_UgyJ7pRLb… G YEAH...I CAN HEAR IT NOW..."IT WAS ME. AI PUT ALL THAT MONEY IN MY OFFSHORE ACCO… ytc_UgxGx5JCR… G "Does AI have a conscious?" You should fix your script and grammar before going … ytc_Ugxe14-er…

Comment

I have seen the first language models in the mid-1980ths and even they were able to distinguish between "good" and "bad" language examples. The sheer audacity of a single person of thinking "I blur my images and ruin AI durrhurr" is bordering on superiority complex. Current AI training works on averaging variations into standards. One off-variation under a thousand doesn't matter shit. At worst it will be smoothed out in a Gaussian curve at the lower end by statistical smoothing. At best it will be used to learn what a bad example is. And nowadays the most modern AI training chains like Angel6 and Byteworm, which are used to pretrain all current AI models, can already process images better than humans can do. So to really confuse them you would need to add so much noise to the picture it becomes basically white noise and no human could see anything in it. But the AI still can. Shit, I once used the Smear-Option of Gimp generously on a family picture and then fed it to ChatGPT5 until it looked like modern art with no concept of realism and simply got an almost perfect original picture back.

youtube Viral AI Reaction 2025-11-02T16:0… ♥ 1

Coding Result

Dimension	Value
Responsibility	ai_itself
Reasoning	consequentialist
Policy	none
Emotion	outrage
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_Ugytas7IbVWm7ftEhAN4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxzXECLSa7lMAoiHTl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxIseIEzzkDCmuzbrJ4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"liability","emotion":"mixed"},
{"id":"ytc_Ugxka1Hjn1Z7B7Not1x4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw_7qw7gefrCWoI1oR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyRI85KTa5Rc6fLZdR4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugyj71nwy7SIJbfAPZF4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyhotVE1bVjnaApoHB4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx7ROxxVpTb0c2FBud4AaABAg","responsibility":"user","reasoning":"mixed","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_Ugwoaga8DBTo1TsgfbN4AaABAg","responsibility":"government","reasoning":"contractualist","policy":"regulate","emotion":"approval"}
]

Raw LLM Responses