Raw LLM Responses
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The app I used for ai got deleted off the App Store, ultimate cover up…
ytc_Ugz7a0aJL…
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There are more ethical uses than using the normal consumer versions available. R…
ytc_Ugy1GCUvO…
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Until they figure out an organic based flesh, it will always look like silicone …
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G
Great interview — honestly 11/10! Really enjoyed it.Two questions it left me wit…
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G
"Hey Chatgpt, I need a very quick answer"
He said it because he was too afraid t…
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Could it be that AI would be used as a smokescreen or a front for globalists to …
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The human race for the most part will be decimated if electricity is turned off …
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If making art makes you happy, you won't replace that with AI art. You'd only do…
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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"}]