Raw LLM Responses

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G The Met is using it's socials to show them catching pdfs with the tech. I suspec… ytc_UgwOw9oHr… G One thing she forgot to mention about the cameras is that they collect your pers… ytc_Ugx8sjQIl… G Could it be that Yudkowsky is the most irritating, tedious, obnoxious, and hyste… ytc_UgzaIf0jF… G As someone whose drawings are garbage, I’m not afraid of Ai replacing me. I’m a… ytc_UgxLaOXra… G The fact you can have a real-time conversation with a cloned AI voice is very sc… ytc_Ugww8YnxG… G So you telling me I need 10 years of experience and a masters degree for an entr… ytc_Ugxb7tJ-s… G To sum up, humans are garbage and we probably deserve extermination from our sen… ytc_UghKeWexK… G This is the most “appeal to emotion” argument that I have read in a minute. Sure… rdc_izkzaso
Comment
Yes, that's what i think too, AI will help us cover more space. As we do have a lot of knowledge already. I mean, a lot of our inventions are not really new things but rather stuff that someone smart who has devoted a lot of time to their activity and so also read a lot, stumbled on to something already known. And chance has it that now you can see it from another perspective and realize a new use. Or someone stumbled on to several obscure ideas and themselves now being the common factor liking all those separate ideas can draw a new conclusion. So they are not someone making something out of nothing but just a way how we recycle stuff while giving the impression of novelty. So AI can totally be that link. A valuable tool which permits us to see from a broader perspective and link known data to get a different picture. It's pretty much statistics. I say it always lies because you can't ever take all factors in consideration and so as long you have parts that are not counted, your end result will always be skewed. So AI can help counting more factors, to process more data and find out new things. And all from the data we already have laying around and being ignored buried by time.
youtube AI Moral Status 2025-07-24T14:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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