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self-modification
Self-modification in AI systems refers to the capability of an artificial intelligence to alter its own code, parameters, or behavior patterns without external intervention. This concept, discussed by
Self-modification in AI systems refers to the capability of an artificial intelligence to alter its own code, parameters, or behavior patterns without external intervention. This concept, discussed by AI researcher Yohei Nakajima, raises important questions about AI safety, control, and the potential risks and benefits of autonomous self-improvement in advanced AI systems. Self-modification is considered a critical capability in the context of superintelligence and recursive self-improvement scenarios.
Source: Yohei Nakajima (X) | 2026-05-29