Raw LLM Responses
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G
If an AI is malicious, it is because the creators made it malicious. It is a pro…
ytc_UgyDZE6XH…
G
We don’t judge if an artist can match up to a printer as it’s simply just a mach…
ytr_UgwQ9sck_…
G
The way Rumora automates comments is like having a 24/7 marketer for my brand. I…
ytc_UgzbkvcPE…
G
@monarchrescue4356
China: Walker S1 humanoid robot starts manual jobs at world’…
ytr_UgwYjzUyO…
G
Y’all deserve it! Sit by and allow your natural energy to create weapons to dest…
ytc_Ugy5uuebX…
G
I actually made an AI bot to help me get better at programming so I could get be…
ytr_UgxxjCR07…
G
I've been getting into using AI art to generate reference images to help improve…
ytc_UgySSy7ga…
G
If you all knew what I knew you would pull the plug on the Internet right now. W…
ytc_UgxaS56WN…
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"}
]