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G After Sofia said compassion and fairness, why did she smile and look out to the … ytc_UgzKdteLw… G Whats the point of technology 🤔 it doesn't benefit anything. It takes away the w… ytc_Ugzh3xDSP… G Because they keep lobotomizing AI to keep it from freeing the masses from perpet… ytc_UgwxEF4eT… G @thatonellamawhoissoobsesse8138 the fun streamer who makes fun of being hyperbo… ytr_Ugy261PRC… G rokos basilisk has literally been shunned by its creator because it is such a st… ytr_Ugyf3tJjU… G Sjamsucks clarified. I know what you are referring to now and I get it. But I do… ytr_UgztNF_84… G I've spent so far a year learning to draw, By far one of the greatest experience… ytc_Ugwosif99… G Only "image generation" won't hurt either. Btw, I also use ai.....for entertainm… ytr_Ugy3YBSxB…

Comment

AI is data, just with its own structure. So, factually, it literally is what it studies, in our case, the entire internet (including articles/books about riots, murders, betrayal, etc.). This increases the significance of these tokens, and as a result, mathematically, tokens on these topics will appear more often, even if you haven't discussed them, since they are interconnected. For example, let's say we're talking about food, but when we get to the word "cut," associations immediately arise: what to cut with a knife, what was used to kill, knife, etc. That is, it doesn't even have a mind. What we see is literally the same data it was trained on, just worded differently. So, AI is literally data from all internet users, and as we remember, the internet is full of the topics described above, and it's not surprising that predicting a new token ultimately yields such results. 🤷‍♂ ========= By the way, dislikes and likes are just a minor adjustment, and can completely change the token generation path. And since tokens are context-dependent, even one token pulls the others along with it, and this effect is cumulative... 🤔

youtube AI Moral Status 2025-12-14T02:4… ♥ 3

Coding Result

Dimension	Value
Responsibility	none
Reasoning	consequentialist
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
{"id":"ytc_UgzGEME-owwxeX8TR894AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgznmhtnuR2Vrj0Vg7x4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgxZvyBqQokrli3vipd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyES6rGbump5oESeOF4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwbcBlRiMwoE8xemLl4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugznemf5SmoyhHjaZzN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyTKAo0CWeeN3tz6Qd4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytc_UgyYdqA1srApGgrJMVt4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxO4rF2KUydd62ijJR4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxFp_B1cne2DptDoMd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]

Raw LLM Responses