Raw LLM Responses

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I did create an adversarial noise generator. All I can say is: Adversarial noise (what Nightshade does) must be targeted specifically for each neural networks you aim to counter. It doesn't work for a different networks with different biases. And every-time the target network you focus on gets retrained, you have to retrain your Adversarial noise generator. TL;DR Nightshare is at best a temporary measure. Training a Convolutional Neural Network with an Adversarial Noise generator is trivial; I did it. It's just not worth it, because "poisoned" art doesn't really make it in the training dataset anyway. Poisoned images lead to low levels of certainty. Low-certainty images are taken out of the dataset, either for human labelling or to the trash bin. I wish you well, but if you want my opinion: Focus on creating something unique, focus on the parts of creating that AI cannot yet take away from you. Unite with other artists to create films, stories, ART, that go beyond the purview of a simple AI picture generator. Don't work for others. Stop taking gigs, start making YOUR art. Good luck.
youtube Viral AI Reaction 2025-04-15T15:1… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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