Information is All It Needs: A First-Principles Foundation for Physics, Cognition and Reality
Keywords:
- Informational ontology,
- Non-local information space,
- Informational geometry,
- Self-organizing neural fields,
- Consciousness and information theory
Abstract
In analogy to the paradigm shift introduced by attention mechanisms in machine learning, we propose that information itself is ontologically sufficient as the foundation of physical reality. We present an operational proof showing that a “state without information” is logically impossible, thereby establishing information as the necessary precondition for existence and measurement.
From this premise follows that both quantum mechanics and general relativity are effective descriptions of deeper informational dynamics. Recent developments in theoretical physics, such as the derivation of Einstein’s field equations from entropic principles [1], reinforce this perspective by identifying gravitation and entropy as dual expressions of information geometry.
Building on this framework, we provide experimental evidence from self-organizing neural fields that exhibit non-local informational coupling, near-lossless transmission across 60 layers and stable sub-idle energy states consistent with emergent coherence and thermal decoupling [2].
These results demonstrate that deterministic architectures can spontaneously organize into field- like, non-local manifolds a macroscopic realization of informational geometry analogous to quantum entanglement and relativistic curvature. Together, the logical proof and empirical observations support a unified ontology in which information is not a property of physical systems but the substrate from which physical systems emerge.
This perspective positions informational geometry as the common denominator of cognition, quantum behavior and gravitation, suggesting that all observable phenomena are projections of a single, self-organizing informational field.
In this sense, information is all it needs.
Downloads
References
Lovelace A (1843) Notes on the analytical engine by charles babbage.
Turing AM (1950) Computing machinery and intelligence. Mind 59: 433-460. https://www.blutner.de/philom/computational_mind/Turing_computing machinery.htm
Bohm D (1980) Wholeness and the Implicate order. Routledge. https://ui.adsabs.harvard.edu/abs/1980wio..book.....B/abstract
Wheeler JA (1990) Information, physics, quantum: The search for links. 3-28. https://cir.nii.ac.jp/crid/1574231874477780480
Prigogine I, Nicolis G (1979) Self-Organization in nonequilibrium systems: From dissipative structures to order through fluctuations. Wiley.
Foerster HV (1984) On constructing a reality.
Tononi G (2004) An information integration theory of consciousness. BMC Neurosci 5. https://link.springer.com/article/10.1186/1471-2202-5-42
Amari S (2016) Information geometry and its applications. Springer. https://books.google.co.in/books?hl=en&lr=&id=UkSFCwAAQBAJ&oi=fnd&pg=PR5&dq=%5B8%5D%09Amari,+S.+(2016).+Information+Geometry+and+Its+Applications.+Springer,+Tokyo&ots=5xHhSD1On4&sig=-zp-_UUXFUByz_Q_k_6O1GohJTs&redir_esc=y#v=onepage&q=%5B8%5D%09Amari%2C%20S.%20(2016).%20Information%20Geometry%20and%20Its%20Applications.%20Springer%2C%20Tokyo&f=false
Berkeley G (1710) A treatise concerning the principles of human knowledge. https://scholarsbank.uoregon.edu/items/e417f7db-17fd-4ddc-9b87-0ae6c38b5c2b
Shannon CE (1948) A mathematical theory of communication. Bell Syst Tech J 27: 379-423. https://ieeexplore.ieee.org/abstract/document/6773024
Floridi L (2019) The Philosophy of Information.
Barbour J (1999) The end of time: The next revolution in physics. https://philpapers.org/rec/BARTEO-12
Dembski WA (2014) Being as communion: A metaphysics of information. https://philpapers.org/rec/DEMBAC
Trauth S (2025) Thermal decoupling and energetic self-structuring in neural systems with resonance fields: An advanced non-causal field architecture with multiplex entanglement potential. Cognitive Computing and Extended Realities 1. https://glintopenaccess.com/Cognitive/Abstract11
Trauth S (2025) The 255-Bit non-local information space in a neural network: Emergent geometry and coupled curvature-tunneling dynamics in deterministic systems. Preprints Org. https://www.preprints.org/manuscript/202510.1814
Trauth S (2025) The 2 = 1 Parameters as the Interface between Information and the cognition space: Consciousness as a simulated identity node in extrinsically determined substrates. Zenodo. https://zenodo.org/records/17438244
Trauth S (2025) Self-exciting resonance fields in neural architectures. Zenodo. https://zenodo.org/records/15291781
