Raw LLM Responses
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G
i find it utterly ironic that a group I mod for (but am not the admins of) has a…
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G
If ai can steal everything then we shall create something that ai itself wont un…
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G
When handed your first iPhone the uses and possibilities are obvious and bountif…
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G
I don't think there's a single person alive who doesn't think babies in the womb…
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G
if your art is better than an ai can make then whats the problem? its a tool (es…
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G
It's funny how much talk of AI this or AI that you hear, especially in the last …
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G
It doesn't matter anymore whether the AI will be able to do the job as well as h…
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G
He doesn't seem like the sort of person who should be in charge of robot brain …
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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"}]