Raw LLM Responses

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The keyword here is TRAINED on. AI does not COPY parts of a work. It learns how colors change as they progress across the image and then it uses that information along with information from millions of other images to build a model for how colors tend to change across an image. It's similar to showing a child a dozen pictures of a green meadow with a blue sky and asking the child to then draw it from memory. They will have noted that the top of the image was blue and had white clouds and the bottom of the image was green. Then they would pick colors that are similar to, but not necessarily identical to what they observed and draw with those. That is how AI works. Here's a mental exercise for you: Let's say I write and record a song. It's mine, right? I own the copyright to it? Okay. Now let's say I take that song into a computer, and I search through thousands of songs to find small bits of them where the samples happen to match up closely with the samples in my song. And I paste all of those small samples together, millions of them, in the right order to effectively reproduce my song but using samples from other songs to do it. These samples are so small, a few bytes each, that they don't even form a single full sine wave crest. Absolutely nobody on the planet could identify what song they had been taken from. Now, is that new copy of my song now owned by every single artist whose music I sampled from, even thoigh no human could tell the difference between it and the original I recorded because they are nearly or even precisely identical? And if if they ARE identical, do I not own the copyright to the one I built from samples, while owning the copyright to the one I recorded, even though they are byte for byte identical copies? Of course I own the copyright to both. For the same reason it is a violation of my copyright if someone plays a song that sounds similar to mine. What matters is not that my hand played the song, because it didn't play the cover of
reddit AI Governance 1692491206.0 ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_jww0ka2","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"}, {"id":"rdc_jww4e1m","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"rdc_jwxiy6a","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"rdc_jwvqxyl","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"fear"}, {"id":"rdc_jwxn5n8","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"} ]