Raw LLM Responses
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G
Well for me on this argument...
I still see AI as another tool.like he/she had v…
ytc_UgypQ0fE1…
G
Even Babies, literal toddlers and children's drawing with crayons and ketchup on…
ytc_Ugy79fSqf…
G
Why are people scared of AI, just learn it and you wont need to fear looool…
ytc_UgzfSEp6X…
G
People said the same thing about the automobile that it would never replace the …
ytc_UgxMGluFU…
G
Respectfully, what does Charlie know about AI? Have you ever written a single li…
ytc_Ugxm9Q4X5…
G
I'm sorry but.... What kind of idiot thinks that originality does not exist? Whe…
ytc_UgzC7eRsJ…
G
Once the shoggoth is out, the algorithm will surely stop feeding me videos about…
ytc_UgxLCGkhN…
G
@ If Tesla is advertised as an autonomous car, then how is it possible to blame…
ytr_Ugw1C-IrT…
Comment
In my opinion, the solution to this is relatively simple, we restrict what text data is fed to AI! If it's trained only with text that falls on the spectrum between neutral and strongly moral, that is all it will know. The problem now is we're purely feeding it as much text as we can, with a complete lack of discretion. However, AI also performs better with mass quantities of data, so sorting the input data would be an immense task. Maybe the solution is to train a smaller model on identifying moral text, and having it filter the data input of the larger AI models?
youtube
AI Governance
2025-08-27T04:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-26T19:39:26.816318 |
Raw LLM Response
[
{"id":"ytc_Ugy2sFO9gMXP5iBlB-h4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy4otCoxcyQOrckVSF4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_Ugw29efcp4iGac6pNZF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyOOYnhUQbsniVAfOl4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxiArPGzLjLsyh6b9R4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"unclear","emotion":"mixed"}
]