Raw LLM Responses

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Which is when the magic happens. If the AI models are inadequate, they'll devolve into a mishappen dysfunctional mess. This is what happens to most AI models now if you try to "close the loop" in a "naive" fashion. You can still feed AI outputs to AI inputs - this is how a lot of advanced AI architectures learn - but you have to be smart about it, and maintain a lot of control to avoid those unwanted effects. If the AI models are adequate? They'll evolve, in a runaway fashion, on an unpredictable trajectory - not unlike human society did. Except they wouldn't be held back by the limitations of human minds.
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Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policynone
Emotionapproval
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[ {"id":"rdc_k9hkeri","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"rdc_k9hwj5q","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"rdc_k9isz9n","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_k9i6f38","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"rdc_k9i89f2","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"} ]