Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G If comissioning an artist to draw for you doesn’t make you an artist then why do… ytc_UgwdC8Z8L… G I want AI to be doing menial stuff, so Humans can spend more time creating art. … ytc_UgxlXt5pQ… G that goes for nearly everything that isn't human made, I guess God is the worst … ytc_Ugw1V1JSm… G It's absolutely clear that there's going to be a much harder and more demanding … ytc_UgzI0c6xy… G As A photographer I tell people as you watch the video look at the corner of scr… ytc_UgwQRqkpE… G AI just got here parenthood has always supposed to been in the parents hand that… ytc_UgzIhnUMC… G Almost completely agree with all that you said. But for the jobs, I prefer to st… ytr_Ugx6odhIU… G I do not understand these studies. Like, it is well known that these LLMs do not… rdc_o7psi8q
Comment
A guess: when you sign up for a TikTok account, each user is assigned a random baseline based on age and IP location. That is, the model uses a poisson point process model that assigns each user a random covariate vector which has a normalized coefficient. This covariate vector correlates to the coefficient of each video's covariate vector. Success in the algorithm, then, is defined as narrowing the range of the user's experience on TikTok so that each video use is within the maximum parameters of the covariate vector. This is done by a recursive algorithm that randomly assigns videos based on what the users watches and stops to look at it. The random process of selecting videos, then, should be narrowed and correlated with the coefficient of the covariate vector. (This means, I think, each video needs an enormous amount of data on how it relates to each other video in this correlation matrix. This is the key -- not the algorithm -- and I'm not sure how TikTok does it well enough to insure accurate results.)
youtube AI Bias 2023-10-22T16:4…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
[{"id":"ytc_UgwIEdGK-i1zCLe8Ws94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugy-8EJw606flVzdqrJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgxiEcS8fx9oQPkndit4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugz6jD2xQw77BOorSiJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgwrdxVrijZw347DBtN4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"}, {"id":"ytc_UgyMV9auK7xO__Brb9R4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgxpQ7qy1vAz0VMdgbR4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"liability","emotion":"fear"}, {"id":"ytc_UgyQf64S7mBiGHBBmj54AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}, {"id":"ytc_Ugy3YIGyDl_bcJ0iqwh4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwnFr1nOeDMplQHZgZ4AaABAg","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"mixed"}]