Raw LLM Responses
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G
The one thing I do more deliberately is looking deeply at what I watch the perso…
ytc_UgxcObK_3…
G
I'd rather tey use **well trained** LLMs than the old fashioned keyword pickers.…
rdc_luxtq7d
G
Prisoner’s Dilemma. The best outcome is for others to cooperate but for you to r…
ytc_Ugwu_OjJI…
G
what these greedy people are saying AI will replace 2/3 of its workforce in amer…
ytc_Ugx98cjr4…
G
I, personally, can see a big danger that no one else seems to ever bring up: U…
ytc_UgwpWNd8b…
G
I don’t know. Bard has gotten much better since its release. I now compare both …
rdc_jpmeiye
G
That works maybe for a decade or two. The remaining jobs people will be trained …
ytr_UgxfHlv4n…
G
So one day the AI will be able to design and execute self directed experiments i…
ytc_UgzJ13q-p…
Comment
Usingbquango'sboffers 1 degree of seperation, even though we know tbey are govt created and run quango's, take border force for example, enviroment agancy, nfu, net zero etc etc, all govt quango's, Add AI into tbat it will only be as gokd ss tbe data in the amazon data stores is accurate. If at all. Add to that Ai making judgement in courts, which is already biased because tbey use maritime law, not common law-which is the law of the land.
youtube
2025-05-17T11:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | fear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugz-YupzfoBRjkfzgYN4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy1pLBfZDpPU3sykGx4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzR1KdHYTOG3Ynxal54AaABAg","responsibility":"government","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxsUH34pYh0PV6yGCh4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugz_HmpkdpKs6rJvxY54AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugxo9iH9tJ6v2uSZBPB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyZ6XGbi7M8pvpSm4d4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugw14QnuNXLeQ_X4MBV4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxJlRh3Rr8AHDSrUaV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxVf0VWCWOVBsvV57J4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]