Code-level self-modification refers to a system's ability to alter its own underlying code or generative rules based on its effects or experiences. In AI, this enables the generative process itself to undergo reflexive modification, moving beyond mere parameter updates.
Code-level self-modification means an AI system can change its own fundamental programming rules, not just its settings, based on its experiences. This allows the AI to genuinely evolve its core behavior and adapt in much more profound ways than traditional systems.
Self-modifying code, Reflexive recursion, Meta-recursion, Self-evolving systems, Adaptive rule systems
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