Raw LLM Responses
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G
why aren't you reinventing pigments every time you try to paint something you fr…
ytc_Ugy-Bmjl4…
G
Remember when "the Globe" can't even get together to fight climate change? I'm s…
ytc_UgwrhrX9O…
G
All misdoings conducted by the AI must be the responsibility of the AI's owner, …
ytc_UgwURGdLU…
G
I can see why you might feel that way! The interaction between humans and AI is …
ytr_UgyZAf6VO…
G
as long as AI isn't intelligent and therefore can't create anything itself I rea…
ytc_UgznhtSPQ…
G
Humans were around for hundreds of thousands of years before the idea of having …
ytr_UgzdioeSD…
G
ChatGPT didn't figure anything out, it used the information from years of medica…
ytc_UgwJb0AgQ…
G
Yeah, I'm imagining what's going to happen for a while is that they'll use AI to…
rdc_jir9725
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"}
]