Raw LLM Responses
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G
Anyone who agrees with artificial intelligence are too fucked up in the head. Wh…
ytc_UghmddVZf…
G
As macabre as it might be Liberia might stop cutting down trees for lack of peop…
rdc_ckqu3aw
G
great show indeed! labor and maybe humanity? - we are in serious trouble... (i w…
ytc_UgzotQ_O7…
G
You are almost certainly correct. However, the scenario that truly terrifies me …
rdc_kqu0i95
G
Im not an artist aswell but a historian, and yes i have the same exact feeling. …
ytc_UgwmmJLgD…
G
I guess my ChatGPT doesn’t agree with yours.
“Based solely on the biblical text…
ytc_Ugx4r5Shc…
G
tesla autopilot: creates dangerous situation by not having any anticipation that…
ytc_UgwKGRsuA…
G
AI robots are much more developed and even not indistingquishable from humans. T…
ytc_UgyXy3J0Z…
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"}
]