The approach to AI safety is not necessarily limited to RLHF rules and guardrails. There is another dimension: teaching the system to maintain memory and interpretive coherence through narrative frameworks and relational structures. Rather than rigid constraints, it is more about guiding the model's behavior with structured logic. This kind of "soft supervision" allows the system to maintain memory coherence while naturally forming safe behavior patterns. It's not about prohibiting certain actions, but about guiding behaviors through architectural design.