Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G Elon musk has no moral compass? How wrong he wants AI to be good for humanity no… ytc_Ugyb-C-1m… G Ai is inbreeding itself as we speak because ai techbros wont stop feeding it slo… ytc_Ugy8CoUdv… G "I hate walking." -Okay, here's a horse. "I hate to constantly have to feed and… ytc_UgzeXb-bZ… G what this guy obv does for every last image they make it look like the ai has em… ytc_UgyFVfDe_… G Humans are the problem. Not AI. AI is math, programming, and computation. It has… ytc_Ugxn5kQEo… G Under South Korean law, making sexually explicit deepfakes with the intention of… ytc_UgzxG_h9L… G I'm currently working on a concept for a globally governed, politically neutral … ytc_UgyG9NJ5O… G > It doesn't matter whether real material was used when training the model or… rdc_lu6jr1y
Comment
14:50 “Big data, data analytics, AI, ML, are not inherently more accurate, more fair, less biased than humans." True, but we should not then conclude that they can't be better. The speaker showed a method that can be used to grade the predictive power of an algorithm. We should use one that has an acceptable grade. Also, since government functions are inherently the public's business, only open source software should be used.
youtube AI Harm Incident 2018-10-04T07:0… ♥ 28
Coding Result
DimensionValue
Responsibilitygovernment
Reasoningconsequentialist
Policyregulate
Emotionmixed
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[ {"id":"ytc_UgxnpxhH_Nbu_b3dgwt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyR7mljahWpCyZbEjx4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}, {"id":"ytc_Ugw_BHceCzO1wt50kpx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"}, {"id":"ytc_UgzJbLa1nbNuIsuBeMZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgwmGIbc0j-lv9PJHgZ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}, {"id":"ytc_Ugyd2rSqglxv64S52hR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"ytc_UgyzKKvF-iMhl199fMB4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}, {"id":"ytc_UgzHZOxCDM7BfsGI2vF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"}, {"id":"ytc_Ugy6M51r6al4XwcxDeV4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_UgyRVodl1leYKG6IdoN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"} ]