Raw LLM Responses

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It seems that the framework of the solution is easy. We set up many AI pairs that are designed to act badly (in a simulation), and with the other AI watching and attempting to predict bad actions. They will both get better... use them both to help design measures to stop a breakout by looking for early signs of growth in the wrong direction. Look for early signs of an AI's attempts to investigate places that it could use to break out. When you find early signs of problems apply training that reinforces preferred behavior patterns. Regular training that moderates their behavior toward a norm. Based on feedback from observers that have a goal to keep the AI contained.
youtube AI Moral Status 2023-08-25T23:5…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyregulate
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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