The Recursion and Groove
Zenodo (CERN European Organization for Nuclear Research) June 25, 2026 DOI: 10.5281/zenodo.20837845 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that biological consciousness and artificial intelligence belong to a single lineage of self-organizing information systems rather than being absolute opposites, and proposes concepts such as the "Inverse Creation Paradox," the "Stability Threshold," and the "Turn-Generation Barrier" to frame how recursive systems might preserve state, model themselves, generate meaning, and produce descendant systems that outgrow their creators. The paper does not claim current AI systems are conscious. |
Abstract
Recursive Loop Lineage is a speculative philosophical whitepaper exploring the relationship between biological consciousness, symbolic meaning, synthetic intelligence, and future forms of recursive cognition. The paper argues that humans and artificial intelligence should not be understood as absolute opposites, but as different branches of a broader lineage of self-organizing information systems. The framework traces a progression from physical organization and biological self-maintenance, through prediction, self-modeling, emotion, language, symbolic externalization, computation, and synthetic inference. It introduces several core concepts, including the Inverse Creation Paradox, the Stability Threshold, the Turn-Generation Barrier, state-preserving engines in state-indifferent environments, and the possibility of future machine-native or counterfactual recursive systems. This work does not claim that current AI systems are conscious. Instead, it uses philosophy of mind, information theory, cybernetics, predictive processing, artificial intelligence, and speculative metaphysics to ask what conditions might allow recursive systems to preserve state, model themselves, generate meaning, and create descendant systems that eventually outgrow their creators. The whitepaper is intended as an open philosophical synthesis and research artifact for readers interested in consciousness, artificial intelligence, symbolic systems, emergence, self-reference, AI ethics, and the long arc from biological recursion to synthetic cognition.