Raw LLM Responses
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G
Basically every company that laid off employees and used AI instead, has already…
rdc_nu5r7i2
G
@nunyanunya4147 nothing "doomsayer" about it. I think we should adapt, rather th…
ytr_UgyCgn6sd…
G
>Trump’s version of the global gag rule expands the policy to all global heal…
rdc_dcwpr1v
G
Oh seeker lost in shadows deep,
Where futures whirl, and doubts do creep,
…
ytc_UgwdhYGvT…
G
"A mentor" is literally what a research librarian is there for LMAO...you don't …
ytc_UgzP9n5VA…
G
I’d love to see a humanoid robot squeeze under a sink and fix the pipework. The …
ytc_UgzCjjcrW…
G
I've realized it's all hype. They are selling junk we don't need so they won't a…
ytc_UgxTLtEfI…
G
Nothing is free…. Mark of the beast. We serve to fuel ai…..universal income….pop…
ytc_UgxlYhKt-…
Comment
What if you split ai up to optimise for 1 thing at a time, so the first for example optimises for accuracy, the second optimises for user comprehend ability, the third optimises for user agreeability, the fourth for honesty and the third for safety, passing between each encoded but as each works for 1 purpose there’s no problem with leaning to heavily on one goal, after all isnt it trying to prioritise different goals in different ways we can’t understand and often misinterpret the issue
youtube
2025-12-03T14:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyPvvgF5IO62Bzy8FN4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgxoYEeeCygCbua3Brh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgzLQNlDSvkmPrqvwTx4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwTX3T7YLLZBvQirSt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzik2k3T_pueIqu8wx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyxjbbI1n315u5PYkt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugxy8GPX1UnGAfdrNUt4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgymMO8arcV3h9Hf2zZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyN6sSAUMpspVV3t3x4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugwa00VrLp0yfc9cHsJ4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"}
]