Raw LLM Responses

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Comment
@janus1936 It doesn't matter how much you shuffle around the ingredients when it's based on the same recipe. This supposedly works by tricking the A.I into including nonsense into it's training data, and that it can't detect these decoy training images. The thing is, I can right now, install a model for Stable Diffusion that adds image corruption to all the images images it generates. And in order for that model to be created, it had to be trained on image corruption in order to know how to reproduce it. Which means it was essentially trained to detect image corruption. Do you see where I'm going with this..? This is nothing more than a toy horse being given to artists to make them think they've successfully recovered their bolted horse. In reality, said horse is still bolted, but now they're no longer attempting to work around the fact that their horse has bolted, as they think they've successfully recovered it and things are back to how they used to be.
youtube Viral AI Reaction 2024-10-24T14:4…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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