Raw LLM Responses
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G
He’s assuming people want just peace and abundance. People want purpose, challen…
ytc_UgwXpqO7_…
G
Imagine them putting all this effort to make sure we can't enjoy our hobbies ins…
ytc_UgyHa5zGU…
G
From what i read about a month ago, reports of deaths may also be low bc only ab…
rdc_hm90fap
G
14:20 : yea fr stop using my disabled ass as an excuse. i tried for years to dra…
ytc_UgyrEcDl-…
G
Well ya could of make her more pretty. I just hope the robots stay away from me …
ytc_Ugy5s77uf…
G
The best way I can try to assuage your fears is to remind you that there have be…
rdc_j4xff2h
G
People losing jobs due to AI will be paid UBI the Universal Basic Income . They …
ytc_UgxuLqm8u…
G
Good maintenance guys are not replaceable by humans let alone ai for a very long…
ytc_UgxzXiy9A…
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"}
]