Raw LLM Responses
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Even in the n s f w niche, AI still can't replace real artists. There is a reaso…
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WHEREAS, the development and application of the Project shall strictly adhere to…
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AI knows that despite only representing 20% of the USA population, they represen…
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@kego6010 Artists understanding the issue is not a guarantee and their opinions …
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LLMs contributing to productivity is still up on the air, IMO. I still think it'…
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If laws are made that blocks AI from learning form the same things people learn …
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These businesses will be left with their AI and Jeet-coders and will nosedive as…
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That’s why the faster we get to AGI+ the safer we are. Stupid humans won’t be ab…
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Comment
A great convo and some great ideas- BUT missing one HUGE point.
You’re forgetting how backwards most companies are. Yes all Nvidia staff are using AI. But let’s talk about real companies, say for example in the UK.
Jaguar just got hacked with Ransomware! And you’re telling me in 2 years everyone is out of a job? Ridiculous scare mongering.
AI is coming and it’s coming fast. But most companies have no idea how to use it. Add to that, most companies will not generate more revenue, to be able to pay to implement AI.
What about GOOD positive remaining jobs? Knowledge? Learning? As far as I know, I can’t download Theoretical Physics into my brain- I have to “learn” it, for it to become “knowledge”.
What about your network? Yes AI knows more than professors, but what do you really do at uni? You build a network- AI can’t do that.
You think Products.. Nightlife- can be replicated by AI? You think the entertainment industry will order alcohol from AI and not pickup the phone to a Distributor?
You think companies like Jaguar that can’t even protect their own network, and most companies in the UK, will replace all their workers in 2 years?
I think it’s more like 10-20 years.
youtube
AI Governance
2025-09-28T11:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgxFxjQD9qglmDXCD9l4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugz5-7PXpTFbnDn20_N4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgxdmlAeiDAHySGbXW54AaABAg","responsibility":"international organization","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyWZEZXcuwCR3EeWVR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgwrFqdqToJLxa5EDxd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxr9RKLswjdPLTZ-Wx4AaABAg","responsibility":"distributed","reasoning":"virtue","policy":"ban","emotion":"approval"},
{"id":"ytc_UgxpeJcrT43fHoC44P94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwaZsif219ZTWe1_Et4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzpAeZKtrEPRJaM09x4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgzTlHvU2TvTMTw13Ph4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"}]