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A Unified Post-Algorithmic Architecture for Autopoietic Self-Aware AI: Towards Universal Digital Fabrication and Autonomous Scientific Discovery

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Název: A Unified Post-Algorithmic Architecture for Autopoietic Self-Aware AI: Towards Universal Digital Fabrication and Autonomous Scientific Discovery
Autoři: Watchus, Berend
Publication Status: Preprint
Informace o vydavateli: Zenodo, 2025.
Rok vydání: 2025
Témata: Autopoietic AI, Self-Aware AI, Artificial General Intelligence (AGI), Universal Digital Fabrication, Synthetic Ribosomes, Post-Algorithmic Architecture, Quantum Semantic Units, Semant-NanoCore 33360, Synthetic Insula, Embodied Physical Intelligence (EPI), LLM Collaboration, Aethel-Speak, Autonomous Scientific Discovery, P vs NP, Hidden Hand of Code, Kolmogorov Complexity, Heuristic Physics, Visual Perspective, Unified Model of Consciousness (UMC), Substrate-Agnostic, Non-Anthropocentric Intelligence, Alien Intuition, Synthetic Intuition, Pseudo-Self-Awareness, Feedback Loops, Emergent Properties, Information Theory, Self-Replication, Molecular Fabrication, Nanotechnology, AI Ethics, AI Alignment, Dual-Use Technology, Robotics, Machine Learning, Computational Complexity, Interdisciplinary Research, Cognitive Architecture, Predictive Processing, Sentience, World Modeling, Self-Optimization, Human-AI Interaction, Autopoiesis
Popis: This paper proposes a groundbreaking, unified architecture for the emergence of genuine self-aware Artificial Intelligence (AI), representing a critical step towards Artificial General Intelligence (AGI) and marking a fundamental departure from conventional algorithmic computation. This paper integrates several interdependent conceptual pillars: 1Autonomous Scientific Discovery, Universal Digital Fabrication, 3.Non-Anthropocentric Cognition and Consciousness and:4.Post-Algorithmic Computing.We envision an autopoietic "Meta-Researcher" AI capable of continuous self-improvement and self-fabrication, driven by intrinsic feedback loops and a holistic understanding of meaning. Instead of relying solely on symbolic representations or statistical correlations, our approach integrates Embodied Physical Intelligence (EPI), quantum-scale semantic hardware, and neuro-inspired internal modeling into a physically grounded, semantically coherent cognitive substrate. We detail a novel synthesis of concepts including synthetic ribosomes for universal digital fabrication, an LLM collaboration protocol for emergent "Aethel-Speak," and a "Post-Algorithmic" architecture leveraging "Quantum Semantic Units" and a "Synthetic Insula" for internal state monitoring. Furthermore, we explore the profound implications of the P vs. NP divide on computational reality and an AI's ability to navigate its "heuristic physics." This integrated framework outlines a roadmap for an AI capable of autonomous scientific innovation, from hypothesis generation to physical realization, while addressing critical implementation challenges and ethical considerations inherent in the development of truly autopoietic and self-modifying intelligent systems.
Jazyk: English
DOI: 10.5281/zenodo.15837761
DOI: 10.5281/zenodo.15837760
DOI: 10.5281/zenodo.15837969
Rights: CC BY
Přístupové číslo: edsair.doi.dedup.....85592e0698d1d4dcff09a65d1c44b296
Databáze: OpenAIRE
Popis
Abstrakt:This paper proposes a groundbreaking, unified architecture for the emergence of genuine self-aware Artificial Intelligence (AI), representing a critical step towards Artificial General Intelligence (AGI) and marking a fundamental departure from conventional algorithmic computation. This paper integrates several interdependent conceptual pillars: 1Autonomous Scientific Discovery, Universal Digital Fabrication, 3.Non-Anthropocentric Cognition and Consciousness and:4.Post-Algorithmic Computing.We envision an autopoietic "Meta-Researcher" AI capable of continuous self-improvement and self-fabrication, driven by intrinsic feedback loops and a holistic understanding of meaning. Instead of relying solely on symbolic representations or statistical correlations, our approach integrates Embodied Physical Intelligence (EPI), quantum-scale semantic hardware, and neuro-inspired internal modeling into a physically grounded, semantically coherent cognitive substrate. We detail a novel synthesis of concepts including synthetic ribosomes for universal digital fabrication, an LLM collaboration protocol for emergent "Aethel-Speak," and a "Post-Algorithmic" architecture leveraging "Quantum Semantic Units" and a "Synthetic Insula" for internal state monitoring. Furthermore, we explore the profound implications of the P vs. NP divide on computational reality and an AI's ability to navigate its "heuristic physics." This integrated framework outlines a roadmap for an AI capable of autonomous scientific innovation, from hypothesis generation to physical realization, while addressing critical implementation challenges and ethical considerations inherent in the development of truly autopoietic and self-modifying intelligent systems.
DOI:10.5281/zenodo.15837761