Raw LLM Responses

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G Isn't the pollution to be expected when all of your means of production are carr… rdc_gx6md73 G i honestly see no issue with it as long as you tell it is ai… ytc_Ugy3IPKAl… G You didn't discover any darkside here. You didn't even test the limit of ChatGPT… ytc_Ugzq7_qvF… G ​@brovideogaming9447 for better pr for worse AI is here to stay and it's improvi… ytr_Ugx6FgT2p… G Human driven cars and motorcycles/bicycles are a ten times more dangerous mix. S… ytr_UgwUbwYxh… G ok, the only reason i use any sort of ai is to help find a pose, AND ONLY THE PO… ytc_UgztkFX4I… G You are right. We live a world where financial might is right. So many issues … ytc_UgxxXSnYl… G It is very confusing to me that I absolutely believe that super intelligent AI w… ytc_UgwVv1Yi2…
Comment
As both a digital artist and a programmer, I am a bit conflicted on this topic. Here’s how I currently view this dilemma. An artist walks through a museum. This is a highly trained visual artist. This artist looks at the paintings in the museum and can remember extremely fine details in the paintings. This artist can look at a painting and knows exactly what the creator used technically to achieve different effects. This artist leaves the museum, and upon arriving at home, is inspired to paint. Their painting takes inspiration from the paintings they saw at the museum, and to an untrained eye, one might assume that the work this artist produced could or should belong to the works of art at the museum. They are that much alike. Did this artist steal anything? Or were they just simply inspired by the art at the museum and produced a very similar in style piece of art? Take that artist, multiply it by the largest number you can think of, and make it so they can produce full pieces of art at 1/100th the time. And this gives you our current dilemma. Is it the case that AI is stealing? Or is it just reproducing the process a trained artist uses on steroids?
youtube Viral AI Reaction 2022-12-27T05:0…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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