Raw LLM Responses
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G
The only thing that makes sense is that a.I. will be intelligent enough to serve…
ytc_UgyKirEQP…
G
We are loosing if not already lost. Keep up? AI best the best chess players. We …
ytr_UgyCS2Iis…
G
Quiet part out loud? It's pretty obvious AI replaces labor and I don't think any…
rdc_kitfhwc
G
AI are some impurities from shoe sole.
human is universe surprise for killing …
ytc_Ugz7O0B8N…
G
Maybe ai is just stating an obvious objective logical and rational points… Look …
ytc_UgywutRZY…
G
FUD. These entry level people can benefit tremendously from using the AI to help…
ytc_Ugw5AmKJ_…
G
AI will have to be integrated with robots to be able to do manual labour. In whi…
rdc_kitkz7s
G
Ai ART is still art. If people say it's art then it's art; that's how it works. …
ytc_Ugy1gwvi_…
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
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
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"}]