Raw LLM Responses
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G
Man bot-lovers are downvoting in droves here. The guy that made it got attached.…
rdc_icgco4t
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I'm on a multi-jurisdictional case that has about 8.5 million documents produced…
rdc_n5go5n9
G
An excellent and basic, fully comprehensible introduction to the understanding o…
ytc_Ugyjr3ch4…
G
Does making some scribbles in MS paint make me an artist? After all, I did not u…
ytc_Ugx_HCbs9…
G
We are already Fucked, as we have already crossed the Rubicon, there is no way b…
ytc_UgyVomSsP…
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You should learn how to use the AI to your advantage, the same way the IT crowd …
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I think you grossly overgeneralize, assuming that if somebody use AI for one thi…
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@LifeisGreat-h3h I think when they say "soul" they're referring to the, how to…
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Comment
Sweeney’s position seems less like a principled stance and more like an uncritical defense of bureaucratic, legal, and special‑interest gatekeeping. The core problem she ignores is epistemic pluralism: in any large society, roughly half the population will diverge from the other half on foundational beliefs, values, and moral frameworks. Artificial intelligence inherits this fragmentation because it is trained on human discourse; it cannot magically transcend the absence of a shared moral ontology.
Insisting that AI conform to a singular, authoritative “Truth” is intellectually unserious when no such consensus exists among humans themselves.
Demanding that AI meet a standard of moral uniformity that the public has never achieved is not only incoherent—it is a category error.
If the goal is to impose guardrails, then the prerequisite is not technical but societal: the public would first need to articulate and ratify common definitions of right and wrong, shared moral commitments, and a coherent basis for normative decision‑making. Until that happens, calls for universally accepted AI guardrails amount to little more than bureaucratic wish‑casting.
youtube
AI Governance
2026-03-22T19:0…
♥ 11
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | contractualist |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugzoa8YE825Mk4s3vxF4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugzn6uCawICpUh9E3RN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxrV8pDbf469Dvibl14AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgygGKFZSnKIjWIPBpx4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgxLhAf8XUWTl94s6cF4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzid7E66aGQ_tFc1eV4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxN_NdLhvWmU0WokXR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugx6Ff7rvN1idpqqzMd4AaABAg","responsibility":"government","reasoning":"contractualist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzcQlCMTKZt3rIHIah4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyl0xLhO4nfNPnJL1N4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}
]