The Mimetic Machine's Scapegoat
Exploring how AI hallucinations might not be bugs but features—digital manifestations of Girard's scapegoat mechanism as AI systems resolve contradictions in their mimetic learning from human data.
Bestes Zitat aus The Mimetic Machine's Scapegoat
AI hallucinations aren't actually errors or bugs, but a digital version of the scapegoat mechanism. When these systems face contradictory information in their training data, they fabricate a 'third option'—a hallucination—that resolves the conflict and allows the mimetic system to move forward.
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Girard’s "Mimetic Contagion" in AI Applying René Girard to 2026 Large Language Models. Theory: AI does not have original desire; it operates on pure "Mimesis" (imitation) of human training data. Therefore, AI inevitably inherits Mimetic Rivalry. When an AI "hallucinates," it is not an error, but a digital "Scapegoat Mechanism"—fabricating a victim/fact to resolve conflicting patterns in the dataset without violence. System Focus: Systemic origins of error within mimetic systems.
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