Raw LLM Responses

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Comment
The trick to remember is a GAN only as useful as each model is (and how you set it up). You might end up with the GAN producing a crap deepfake generator that it gets really good at detecting said crap deepfakes. Then the new deepfakes are barely better, and the model converges to something useful. ML is only as good as the parameters specified (decided by people)
reddit AI Harm Incident 1651306503.0 ♥ 88
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_i6saw8r","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_i6rh5yy","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_i6rk4r2","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_i6rolhn","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"rdc_i6rrm9g","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"})