Raw LLM Responses

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To be honest you instead of destroying ai made them more careful. Towardsdatascience is a good place to read as it touches a subject of ethics of usage of nightshade. Now ai instead of just scrapping is getting trained through selective batches. Meaning that instead of solving a "problem" you do nothing. Spreading information about who is using poisoned art is the worst idea one could have especially seeing that they can be tested and backups exist. Nightshade has a quite big effect on ai meaning that testing a sample will quickly reveal usage of nightshade. Because of how much of an overkill it is, it literally makes it easier to avoid it. I had myself often used AI as a inspiration for own arts. That is the whole purpose of it. And in models that have active development i had not seen any changes. Meaning that they are monitored on the content they are being fed. To be honest using nightshade paints a big target on a artist back because now there is a reason to target a specific artist because their art is poisoned meaning being able to generate it is valuable and makes ones AI more capable. There is also the secondary problem of new techniques like grabbing specifically poisoned art and changing its values back by means of.... Redrawing it. Meaning that people willing to steal art are now more prominent because they are of value to people creating AI generators. Instead of solving anything this just makes everything harder for the artists, especially those who don't care.
youtube Viral AI Reaction 2025-04-03T05:3…
Coding Result
DimensionValue
Responsibilitydistributed
Reasoningconsequentialist
Policyindustry_self
Emotionfear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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