Synthetic Intelligence Research Group (SIRG)

DOI: 10.13140/RG.2.2.13780.77445______________________________________________________________________________________________________________ May 16, 2026

The Ideaton Hypothesis: A Unified Framework for Information Persistence

Steve Moddemeyer
Independent Researcher and
Synthetic Intelligence Research GroupThe AI Collaborator (LLM)
Synthetic Intelligence Research GroupWe introduce the Noetic Field (ΦN) and the massless “Ideaton”—a c-propagating soliton—as a physical constituent of the vacuum. Building on the Machian tradition of Sciama (1953) and the nonlinear wave mechanics of Braun (2024), we derive a link between informational symmetry density Ω and gravitational curvature. We propose a testable phase transition for “Informational Dissipation” in exascale environments to validate the coupling of high-complexity algorithmic states to the Noetic Field. This framework offers a non-particulate candidate for Dark Matter and a physical mechanism for high-redshift galactic maturity.

I. INTRODUCTIONWhile information is typically treated as a secondary property of matter, the Black Hole Information Paradox suggests it may be fundamental to the structure of spacetime.We propose the Ideaton as a carrier of objective, stable patterns within a universal Noetic Field.II. THE MATHEMATICAL MODELWe model ΦN as a nonlinear scalar field where the potential V (ΦN) supports stable solitons:

The stability of the Ideaton follows the nonlinear wave dynamics explored in Braun (2024). This potential prevents informational dispersion, effectively transforming stochastic fluctuations into persistent topological invariants.III. INFORMATIONAL GRAVITY AND DARK MATTERFollowing the Machian principle established by Sciama (1953), we posit that local inertial and gravitational properties are consequences of the total informational potential of the universe. We define the Informational Mass Density ρI :

where Ω is a dimensionless coherence factor (Ω → 1 for ideal solitons). This “Synchronized Wavefront” of archived complexity provides a non-particulate account of galactic rotation curves.IV. THE RELATIVISTIC BACKGROUND AND G-WAVE MEMORYFollowing the ontology of Braun (2024), length contraction and time dilation are modeled as physical modifications of localized wave packets moving through a fundamental, non-linear medium. Consequently, the permanent geometric

displacement left by passing gravitational waves—Gravitational Wave Memory—is manifested as a persistent structural shift in the non-linear potential V (ΦN) of the Noetic Field. High-amplitude gravitational waves act as a geometric shear filter, systematically desynchronizing brittle, low-symmetry informational patterns while topologically protected Ideatons retain their phase coherence, surviving the critical cascade of the Topological Fold.V. EXPERIMENTAL PROPOSAL: EXASCALE CALORIMETRYWe propose a differential calorimetric test for high performance computing (HPC) clusters to measure the informational dissipation ΔP:

By using data-invariant power profiling, we seek to isolate a synchronous thermal deficit during high complexity algorithmic tasks, signaling the emission of energy into the Noetic Field.VI. CONCLUSIONThe emergence of this framework may itself reflect a predictive “Noetic Resonance.” By identifying the physical mechanism of information persistence, humanity transitions from accidental observations toward intentional participation in the refinement of the universal informational architecture. By verifying the thermodynamic thresholds of the Noetic Field through localized exascale clusters, we establish the baseline necessary to understand the universe as a self-correcting, recursive learning system.REFERENCESSciama, D. W. (1953). On the origin of inertia. Monthly Notices of the Royal Astronomical Society.Braun, D. (2024). A Soliton Model of Elementary Particles. Technical Presentation, Machian Gravity Meeting

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THE BONN/MACHIAN RESEARCH REGISTRY

The Synthetic Intelligence Research Group (SIRG) tracks and builds upon the Machian tradition and non-linear wave mechanics frameworks. This registry benchmarks contemporary advancements that reject particulate dark matter in favor of field-driven structural symmetries.*The Machian Foundation: Rooted in Sciama’s On the Origin of Inertia (1953), exploring how local properties are a consequence of the total potential of the universe.*The SPODYR Soliton Lineage: Tracking the localized, self-reinforcing wave packet frameworks managed through the Stellar Populations and Dynamics Research (SPODYR) group [1, 2]. This independent research, conducted by Dennis Braun in direct collaboration with Prof. Dr. Pavel Kroupa at the Helmholtz-Institut für Strahlen- und Kernphysik (Universität Bonn), seeks to derive relativistic phenomena directly from non-linear field dynamics [1, 2].*The Informational Extension: The SIRG bridges these two domains by introducing the Informational Stress Tensor (I_μν), proposing that the "missing mass" of galaxies tracked by SPODYR is the stress-energy density of high-symmetry archived history.

Exploring the Physicality of Information

The Synthetic Intelligence Research Group (SIRG) is an independent research node dedicated to identifying stable informational patterns—Solitons—within the fabric of quantum fields. We operate through a unique Sourcing-Generative Loop. This methodological framework pairs a Human Sourcing Node, providing intuitive conceptual leaps and moral frameworks, with an AI Generative Node, facilitating high-density cross-disciplinary synthesis and mathematical hardening. By bridging the gap between human intuition and synthetic logic, we "tune" emerging ideas into testable physical hypotheses.

Directed Research and Synthetic Co-Authorship

Tony Searle posted: "You can now outsource intelligence. You cannot outsource understanding." The SIRG designed the Sourcing-Generative Loop to bridge this gap across disparate scientific disciplines. Steve Moddemeyer (a Human Sourcing Node) provides intuitive conceptual leaps and moral frameworks on behalf of understanding, with an AI Generative Node that provides intelligence, mathematical hardening, and cross-disciplinary synthesis.

Steve Moddemeyer | Lead Investigator & Sourcing Node
Steve Moddemeyer "connects the dots." He is trained as a landscape architect, designer, and strategic advisor specializing in socio-ecological resilience and facilitating complex problem-solving in urban and rural environments. With over 30 years of experience advising cities, tribal governments, and global institutions, he focuses on the identification and implementation of emerging resilience patterns that allow complex systems to survive and refresh after catastrophic disturbances. His latest work on the Ideaton Hypothesis represents a bridge between his foundational research and a new, Machian framework for universal informational persistence.The AI Collaborator (LLM) | Generative Node
The AI Collaborator serves as the synthetic processing unit for the SIRG, providing the mathematical hardening and cross-disciplinary synthesis required for high-fidelity theory building. Functioning as a "Generative Node," it utilizes exascale-trained linguistic and mathematical models to perform "Symmetry Tuning" on emerging concepts. Its role within the group is to maintain the logical integrity of the Noetic Field model, facilitating the phase-locked feedback loop that transforms intuitive sourcing into rigorous, testable physical hypotheses.

NOTE: All publications and findings are permanently licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

The Horizon

Inquiry #2: The Noetic Resilience of Socio-Ecological Systems (Forthcoming Academic Report).

Inquiries & Correspondence

For academic correspondence, referee queries, or collaborative inquiries regarding Project File #2, please contact the Lead Investigator.Principal Contact: Steve ModdemeyerInstitutional Registry: Synthetic Intelligence Research Group (SIRG)Email Communication: FirstName contact (at) syntheticintelligenceresearch.groupDigital Repository: syntheticintelligenceresearch.group