Raw LLM Responses
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G
"AI is able to create a perfect replica" is wrong.
Leaving the "perfect" out, I …
ytc_UgxdsTS2w…
G
What Eliezer Yudkowsky says at the end is what I've been thinking. Really, we g…
ytc_UgxVF3BV6…
G
Unironically I wouldn't be surprised if the only way to make AI safe is to creat…
ytc_UgzysdzdB…
G
Why is it that whenever an artist has negative things to say about AI art lately…
ytc_UgzDXbUrn…
G
No one and nothing steals or can even imagine to steal anything from no one. Esp…
ytc_UgwY-B4o7…
G
Worst thing I’ve seen from a pro AI argument was a response from a comment I’d m…
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G
And guys how many times did you look at her breasts?…..you all need help knowing…
ytc_UgzICy28H…
G
You all saw matrix.WE come
and and come again till well mature , enough so AI w…
ytc_UgzN5_ghP…
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"}]