On the Genealogy of Temptation: From Simulmatics to Data Sovereignty

This text provides a deep historical and technological analysis of the mechanisms for modeling human behavior. Beginning with the pioneering work of Simulmatics Corporation and its 'People Machine' project, the author guides the reader through the evolution of the algorithmic prediction economy. The article unmasks the transition from rigid IF/THEN logical rules to contemporary, learning AI systems that monetize human attention. It addresses key issues of data pathology, such as daisy chains and Goodhart's law, which lead to the degradation of social indicators. The finale focuses on the European struggle for data sovereignty, the role of cloud computing, and the political aspects of privacy protection in the era of transatlantic technological disputes. This is a study of how technology is transforming human ontology and the structure of power.