Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G I disagree a little. It’s problematic but they advertise it as a deepfake. They’… ytc_UgzFj7hS1… G I dont understand the defense of not using ai for cheating if were forgetting th… ytc_Ugz_T5oTc… G Anyone can tell me when AI fully take over a bus driver job so that I can retire… ytc_UgweA8Q-i… G Omg this making me scary her ear get cut by a zombie and put back a robot ear he… ytc_UgyrPw1zm… G Not gonna lie, seeing this comment section populated by a lot less AI defenders … ytc_UgwWqATRY… G That is not at all true for those of us who use AI to organize, to search out th… ytc_Ugzulo6rg… G At the point where a system (not necessarily AI) legitimately demands a right or… ytc_UghO27xPt… G "Oh, so you're from Australia. That explains things." I see A.I. has already per… ytc_UgyKwkuN6…
Comment
"Yes, Chinese AI model tokens are significantly cheaper—often one-sixth of the price—partly because they utilize distillation, distilling knowledge from larger, advanced U.S. models. This technique allows smaller models to achieve 80–90% of a frontier model's performance with far less computational demand. Other factors driving this price gap include more efficient "mixture-of-experts" architectures (often designed to run on less advanced hardware due to US chip restrictions) and lower energy costs" I was just looking a Google's Gemma 4 this week. Google's Gemma 4 uses both dense and Mixture-of-Experts models. I don 't know how many other US model use MoEs. But if they want to I'm sure they can use MoEs.
youtube AI Governance 2026-04-21T16:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[{"id":"ytc_UgzfSnzWst02KsznDNp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytc_UgzY8mdUvNIObd0uSLN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytc_Ugy0AO0fNWQwyXR23b54AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"}, {"id":"ytc_UgzZ-nltPK1eP9yln694AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytc_UgzlI_R6I6jh169VVr94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"}, {"id":"ytc_UgyuU8SMkG6McRhNgaF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"outrage"}, {"id":"ytc_UgyUA_DQcDFZ6VUdb214AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"}, {"id":"ytc_UgzHcRRdHIF518tDVil4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytc_UgwwPhpUcnxHfa8b2cF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"regulate","emotion":"indifference"}, {"id":"ytc_UgzHy8eKwczW26pQIG54AaABAg","responsibility":"none","reasoning":"unclear","policy":"ban","emotion":"outrage"}]