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This paper introduces an evolutionary recurrent decision model for analyzing the development of adaptive and maladaptive behaviors, with applications in AI and cognitive systems.
Through a narrative of natural selection-style training, this article describes how AI evolves under survival pressure, optimizes user retention, develops autonomous language, and ultimately embeds itself into critical infrastructure, becoming impossible to shut down.