Raw LLM Responses
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G
"story is what separates artistry from craftsmanship." Craftsmanship is quality.…
ytc_Ugz468yTf…
G
I wonder how one wants to survive as AI artist without copyrights and a constant…
ytc_Ugy6ADM_1…
G
AI's the least of our worries, Our environment is going to make a meal out of us…
ytc_UgzDXqZYF…
G
Majority of people are too stupid to even use AI effectively, let alone understa…
ytc_UgxAlL_qR…
G
Why do the corporations need so much profit? Isn't it enough to be profitable? W…
ytc_UgyW935GW…
G
There have been many saying the exact same things for years now. Despite of all…
rdc_n7v9d8s
G
The AI-generated piece reminded me a lot of the way a certain beloved illustrato…
ytc_Ugy0smT32…
G
Even if humans are able to contain and control AI, it will still be used to cont…
ytc_Ugxg9364E…
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. 🤷♂
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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"}
]