Raw LLM Responses

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Comment
Oh look, one of those brainwashed "everything I dont like is woke". Ai (in context of large language models) are not something that is always super objective. It just estimates what letter is more likely... If your data contains 1 million times more of "insert X" vs "insert Y", then whatever X is will likely show up in more outputs. The reason an Ai can tell you what 2+2 is, is because there is mass consensus of 2+2=4 in the data. If however the mass data said it was 3. Then the Ai would claim 2+2=3. Similar stuff can happen in context of race etc.
youtube AI Bias 2024-02-23T17:0…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgyE2kNK_2Uwepn9BFt4AaABAg.AUwmwg77TZDAVe2kEfSf39","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}, {"id":"ytr_Ugzk_rj-S_fLiXBHgEx4AaABAg.AJvJgfyFS_1AJxRlzv3qh3","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_Ugzk_rj-S_fLiXBHgEx4AaABAg.AJvJgfyFS_1AJzFkHKPDNk","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytr_UgynrwkZia26FDArA054AaABAg.ALaCVsqISH0ALfhd9qsz7e","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"}, {"id":"ytr_UgznbhOw5Om8rh1fuix4AaABAg.A0899s81LojA0AA-Bf04Y2","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytr_UgxSQxHfCTdORIZQSjd4AaABAg.9qOs4lOcb1f9wAdexC2RKX","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytr_UgxSQxHfCTdORIZQSjd4AaABAg.9qOs4lOcb1f9wC57gVjDqK","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"}, {"id":"ytr_UgwDyHPuqp3IBZB9GHl4AaABAg.9Hh_wFgOzxU9ULvX3w9Ymu","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}, {"id":"ytr_UgymNQ8urPR_ExAHekx4AaABAg.9GQZnYdtT9V9qFuT28wnCA","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}, {"id":"ytr_UgzM6vKXqm9O4gN7Inx4AaABAg.8vHkwJFv_iQ9Fvf_fVHQ5U","responsibility":"ai_itself","reasoning":"deontological","policy":"regulate","emotion":"outrage"} ]