Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
It's called Prompt Engineering, my question, is what was typed into Chat GPT bef…
ytc_UgzmA1wC4…
G
Do you believe Bitcoin is safe? If you do, then AI is no better than humans at c…
ytc_Ugxijyw2J…
G
I literally learned how to draw by copying my favorite comic book artists in the…
ytc_UgyRjKasl…
G
Digital tools mainly just reduce tedium, compared to AI generation where you do …
ytc_UgyVWxC0l…
G
No way engineers will be replaced by AI, and a lot of these likely won't like la…
ytc_UgxXex1wI…
G
The fact that most people don't know that we all are already controlled and mani…
ytc_Ugy-BRa2r…
G
They won't be even able to create a website on localhost simply with js,php,mysq…
ytr_UgwQpsodh…
G
China will overtake America in AI aswell as many other things. The invention of …
ytc_UgzGcolFx…
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"}
]