The essay critiques the myth of “God-like” AGI promoted by tech oligarchs, arguing that claims of objective, cosmopolitan AI serve to mask the cultural, economic, and political interests embedded in its design. Drawing on neuroscience and the recognition loop, it shows that each culture is defined by unique neural patterns, making genuine universal objectivity impossible for any AGI. The essay calls for radical pluralism, transparency, and democratic oversight, proposing a system of multiple, culturally rooted intelligences instead of a single, dominant authority. Only by exposing biases and enabling contestation can AGI serve humanity rather than deepen existing hierarchies of power.

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As robots become more autonomous and socially integrated, static rule-based ethics—such as Asimov’s Three Laws—are no longer enough to ensure safe and adaptive behavior. This essay explores why embedding a “Demand for Recognition” in robots is essential for real moral and ethical learning. By enabling robots to learn from social feedback, we can create machines that adapt to human values, resolve complex dilemmas, and build genuine trust in human-robot interaction.

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