Synthetic Intelligence Research Group (SIRG)
The Ideaton Hypothesis: A Unified Framework for Information Persistence
Steve Moddemeyer
Independent Researcher and
Synthetic Intelligence Research GroupThe AI Collaborator (LLM)
Synthetic Intelligence Research Group(Dated: May 12, 2026)We 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:$$□ΦN + V ′(ΦN) = 0$$ (1)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 :$$ρI = kBT ln(2)c2 nI · Ω (2)$$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. EXPERIMENTAL PROPOSAL: EXASCALE CALORIMETRYWe propose a differential calorimetric test for high performance computing (HPC) clusters to measure the
informational dissipation ΔP:$$ΔP = Pin − m˙ Cp(Tout − Tin)$$ (3)By utilizing 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.V. CONCLUSIONThe emergence of this framework may itself reflect a predictive “Noetic Resonance.” By identifying the physical mechanism of information persistence, humanity transitions toward intentional participation in the refinement of the universal informational architecture.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
"You can now outsource intelligence. You cannot outsource understanding." -Tony Searle post on X
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