Raw LLM Responses
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G
Ya know a 1 in 6 odds of AI obliterating our species doesn’t really seem like it…
ytc_UgzXzVhlv…
G
It is interesting to look back at this video, after 5 years. Two big things had …
ytc_UgxMb7yx_…
G
Wonder what an artillery shell would do to these tin cans. For the love of our G…
ytc_UgyR66_5L…
G
0:55. Create new Ideers .
Thats scary 😢 ai music artists. Ai workers ai compani…
ytc_Ugzo36zXi…
G
Ai is coming for everyone. We all laughed at manufacturing jobs and showed no re…
ytc_UgzoccxOk…
G
Keep in mind that AI robots will guard the energy fields as well from human reta…
ytc_UgxHqSGGD…
G
AI videos are full of lies and people are taking it as fact. This is very danger…
ytc_UgzTyalmk…
G
Acting like an emotionless robot was really just Zuck playing the long game seei…
rdc_oh1ia23
Comment
Sort of, LLMs need to be fed hundreds (or thousands) of stories about a topic before they "learn" that topic.
They can't infer things from a single piece of content like a human can.
Say I didn't know what a carpenter was, I could read one description of the day in the life of a carpenter and learn what time they start, if they have an apprentice, probably what their favourite tools are and why, what safety precautions they take on the job they do that day, probably something about the kind of carpentry that person does compared to all the other kinds of work out there etc. LLMs can't do that until they've ingested a LOT of stories about carpenters.
LLMs also can't learn in a linear manner they way we can. A kid would probably learn the second or third time a person with a tool belt and a hi vis vest was pointed out as a carpenter what a carpenter looks like and then add to their facts about carpenters as they experienced them. LLMs don't have that single line of experience learning or ability to learn by inference.
youtube
2025-11-06T05:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
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{"id":"ytr_UgxNW9le_VU2ezNUhu54AaABAg.APWl_XAnn7XAPgy37AsnKG","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytr_UgzTNyZkytSvstTZSBt4AaABAg.APF5DMm15wQAPF7NnJl6Ds","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgwkzrroFQde2Ts_26l4AaABAg.APEZV5AKtd9APzviIZklKc","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugx-z9Amoi5mK0CEpBt4AaABAg.APDUWkcvoF3APECbWW7qnX","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugz1Lzr9cz4CzhA2oBl4AaABAg.APBqaMzWpXgAPE2T7mhtG_","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_Ugz1Lzr9cz4CzhA2oBl4AaABAg.APBqaMzWpXgAPEn8Uh6-Zj","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugz1Lzr9cz4CzhA2oBl4AaABAg.APBqaMzWpXgAPFJZiU3VQO","responsibility":"distributed","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytr_Ugx35nPulgDLVdrX8fd4AaABAg.AP9g5PgQ7HeAPAWi1D4Q64","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgzuS8PC0tec57H8GNp4AaABAg.AP8wS7fg3kgAP90btb2fuC","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]