Raw LLM Responses
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chatgpt still even was using the "not just x, but y" when telling someone to rop…
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Im a tradtional artist who also uses digital art. The difference between digital…
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So which is it. Wuhan has widespread infections that China is hiding from the wo…
rdc_g9ta06y
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The action and reaction times of a robot are far superior to a human IF this is …
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nuclear power and ai could also be the beginning. you need both to be a spacefa…
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We appreciate your perspective on the AI's wisdom. If you're interested in explo…
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I heard that, and what about your AI Lover, you acted like you were about to cum…
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1:08 little did he know that same year a robot know as Sophia would gain citizen…
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Comment
@Aerroon I don't think "purpose" is a particularly relevant consideration when it comes to copyright law, what it does in practice is more relevant than what it is intended to do.
If I accidentally made public a virtual machine image that happened to contain copyrighted material, I highly doubt I'd get very far arguing in court that "ahh no but you see the _purpose_ of this VM isn't to reproduce copyrighted works".
But you could also argue that part of the "purpose" of AI trained on copyrighted work is to create derivative works from that copyrighted work. Otherwise why train on that data at all? Training on material related to Marvel characters clearly isn't essential to the working of generative AI, as we can see many working examples that do not, and yet some of the available models _do_. It's pretty obvious to anyone that they do this so that people can create images of Marvel characters, it would be extremely silly to deny that.
How people _treat_ JPEGs is also irrelevant. People violate copyright law all the time, they just don't get called on it every single time. That doesn't change the fact that they're violating copyright
youtube
2026-01-16T19:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
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{"id":"ytr_Ugwt2aAWD4Xrmi_yrsV4AaABAg.AS2pR_wkmvCAS2tccJVcYQ","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
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{"id":"ytr_UgyC2j5sKfORqZPNZiF4AaABAg.AS2ntePIsZ3AS3I1jAujAB","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzlPz1qO1-IqzE6UcV4AaABAg.AS2lj1O54HYAS2oOW4Uwxz","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
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{"id":"ytr_Ugw8Tvy6j2NpYkqDisV4AaABAg.AS2kovn6_XbAS3K8fZ85MG","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgyZsqqxm8PnbOgZKJt4AaABAg.AS2iNEp3YFCAS55rXUwB85","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"indifference"},
{"id":"ytr_UgxW6qtzqAWnnKJpHRN4AaABAg.AS2esIoMQruAS2oTtaWWtx","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_UgzKPpNBCVBUcIcYzWN4AaABAg.AS2d5PBHh-hAS5CHsfz8B_","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"indifference"}
]