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Memes Driving AI's Autonomous Evolution: Exploring Hyperstition in Finance and Computing

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This is a Plain English Papers summary of a research paper called or follow me on and shared belief systems are driving the creation of increasingly autonomous on-chain systems.



The paper suggests that these meme-driven, self-referential systems are evolving in complex ways, , they may lead to the emergence of a new kind of " and the very nature of intelligence, both artificial and human.






Key Findings




  • Memes, as cultural units, can shape the development of financial markets and autonomous systems through the process of hyperstition

  • Autonomous on-chain systems are evolving in complex, self-referential ways, driven by shared belief systems and narratives

  • This evolution is leading to the emergence of new forms of artificial agency that challenge traditional notions of human creativity and authorship

  • As these systems become more self-replicating and self-employed, they may give rise to a new kind of "cybercortex" - an AI-based operating system for autonomous robotics and creative processes

  • The implications of this evolution for the future of computational creativity and the nature of intelligence, both artificial and human, are profound and warrant further exploration






Technical Explanation



The paper explores the concept of "hyperstition" - the idea that beliefs and narratives can become self-fulfilling and shape the very reality they describe. The authors argue that this dynamic is playing out in the world of financial markets and cryptocurrencies, where memes and shared belief systems are driving the creation of increasingly autonomous on-chain systems.



The paper draws on theories from cultural evolution, financial economics, and philosophy to develop a framework for understanding the evolution of on-chain autonomy. It examines how memes, as cultural units, can propagate and influence the development of financial markets and autonomous systems. The authors suggest that these meme-driven, self-referential systems are evolving in complex ways, creating new forms of artificial agency that challenge traditional notions of human creativity and authorship.



The paper explores the emergence of " - an AI-based operating system for autonomous robotics and creative processes. The authors consider the implications of this evolution for the or following me on Twitter for more AI and machine learning content.

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