Raw LLM — Corpus Dashboard

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G Make the AI lazy, that it wants to go back to sleep, drink beer and not work. Ev… ytc_Ugz5ulhgG… G @QuanticDreamer and AI bros trying so hard to replace artists and writers is sa… ytr_Ugx0ioAUF… G Giving the robot a machine gun and the guy remains close To the Robot.Brave guy… ytc_UgxojB6Dd… G Look i've always respected Bernie and believe that a lot of your views could be … ytc_UgxH9hFj5… G @mb8591 they will, but you can't resist those black-hat hacker. Ai don't have th… ytr_UgwYIjrm-… G Selling ads and collecting data is the main goal and some subgoals would be goal… rdc_o646h4n G Emily: "...you raising this issue of sentience and personhood is a distraction f… ytr_UgyZAewz0… G This is BS!!...they didnt kill anything,they cancel the programme because of sev… ytc_UgxuHbE2C…

Comment

I remember when I got introduced to quora in like 2013… I thought to myself wow this is it this is the ideal application of tech, at the time it was a place to ask a question and they would identify the subject matter of the question, and ask the most knowledgeable people to answer that question. So if I asked a philosophy question, it would show me the top answer as the one from the chair of princetons philosophy department, and the worst answer as the guy who has no background in philosophy, and then it would move the answers that were upvoted by the people with the best ranking in any category as the most valuable, vs the answer with a funny a meme that got the most likes and interactions. The other day I talking to chatgpt about some philosophy stuff, and I was absolutely blown away by the answers, with my only criticism being two fold in the same category that sometimes had trouble figuring out exactly what I was asking or explaining and would answer the question I didn’t really ask; and that it had very poor ability to use and understand language the less literal it was

youtube Cross-Cultural 2025-12-29T18:5… ♥ 1

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgxMdfX0MJBEetbCcGN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"fear"},
{"id":"ytc_Ugz86JT8fMsAiEmeVBd4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgyvC_tNx3ue7P8W0kB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwC2Hm4duE6ALqKnTJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyiO6H-_JIPFnObv-J4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyi9u-F9FoF5dlgzjN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugw98jrjzJEb8iUSb2l4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy-ghoM3p_rtxPyTaV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_Ugwm3zS59SylC5OoVPN4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgzCQZ82mDg8IL33VSJ4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"}
]

Raw LLM Responses