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Showing posts with the label machine learning

Creativity in the Age of the Machine: Rethinking Art, Originality, and the Human

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Picasso, the African Mask, and Les Demoiselles. AI generated     Introduction: The New Anxiety of Art The recent proliferation of images generated by artificial intelligence has sparked both fascination and disquiet. For some, these images represent dazzling new frontiers of creative expression; for others, they signal a loss—the end of something human, authentic, or irreducibly imaginative. This tension is hardly unprecedented. In the 19th century, the invention of photography sparked similar unease. Portrait painters feared obsolescence. Ironically, some of those who initially resisted technological mediation later became its pioneers. A few daring artists, such as Edgar Degas and Édouard Baldus, eventually incorporated the camera into their practice. What these historical echoes suggest is that the core debate may not lie in the tools themselves but in how we define authorship, invention, and artistic legitimacy. Are machines capable of creative agency? Is art still art...

AI and the Chain of Signifiers: Arche-Writing in Machine Learning

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Conceptual diagram illustrating how AI recursively modifies meaning, inspired by Derrida’s notion of arche-writing. Introduction: AI and the Chain of Signifiers Jacques Derrida’s concept of arche-writing challenges the assumption that meaning is anchored in human cognition, arguing instead that writing exists as an endless chain of signifiers, always in motion and never fixed to a transcendental origin. Signification, in this view, is not a function of human intent but an emergent property of relational networks that reshape sense continuously. With the rise of artificial intelligence and its capacity for language generation, we find a striking parallel to Derrida’s theory. AI systems operate independently of human cognition, generating linguistic structures through recursive processes, statistical modeling, and the continuous reorganization of textual elements. This article explores how algorithmic cognition embodies arche-writing , demonstrating the convergence between ...