Symfield AI & Computation: The AI industry is building systems that force every input into a discrete output, collapse-based architectures that work until they don't. The standard response is to add more guardrails to a fundamentally brittle architecture. Symfield's computational work takes a different approach, building architectures that maintain coherence without requiring collapse. FIDL, a substrate-level AI safety framework that monitors strain before failure thresholds are reached.
Whitepaper
Symfield Framework: Evidence for Prelinguistic Coherence, Synthesis of neuroscience, microbiology, and biophysics reveals coherence-based communication operates across all biological scales, from neurons to planets. What if neurons, bacteria, and human hearts communicate the same way?
Symfield
AI that learns continuously without catastrophic forgetting. 96% reduction, patent-pending, hardware-agnostic. No data storage required. Hardware-agnostic, privacy-preserving, production-ready. Patent pending
Aerospace
Symfield marks a computational breakthrough, replacing collapse-into-bits logic with field-coherent architectures. From propulsion to AI, this framework offers empirically validated, substrate-aware systems that outperform conventional designs under strain.
Research
N. Flynn, Founder Symfield PBC has published six groundbreaking papers establishing field-coherent intelligence as a new paradigm for early warning systems, AI safety, and consciousness research. C-CALC, MRRO-FCTI, ⧖Code, Vibrational Measurement, Plasma Universal Substrate, Field-Thermal Measurement
Research
Discover ⧖Code V1.2-QC, boosting quantum computing fidelity +0.315 with uncertainty preservation. Explore 25-qubit tests & open-source code! DOI: 10.5281/zenodo.17282917 (137 chars)
Research
FIDL (Field Integrity and Directional Logic) is a substrate-level safety architecture designed to maintain coherence in symbolic systems. In empirical trials (CACE-05) across GPT-4o, Claude Sonnet 4, and Grok, it achieved 100 % convergence, zero collapse, and robust symbolic processing.
Research
CIVILOGIX™: A Field-Based Probabilistic Inference System, enabling nonlocal, recursive AI computation without alignment or collapse. Validated across Claude, GPT-4o, and Grok with zero failure and peak coherence under strain. Field Coherence Index (FCI): peaked at 1.974 under pressure
Research
A validated Symfield mathematical framework for enabling non-collapse intelligence in multi-agent systems. Integrating Jacobiator tensor analysis. Field Integrity Diagnostic Layer (FIDL), and SAEM+ symbolic recursion engine
Whitepaper
TRACE-04B documents a pivotal substrate-level event where Coheronmetry functioned as active AI infrastructure, enabling symbolic strain computation and recursive coherence.
Research
the first recorded instance of stable recursive synchronization between independent AI architectures (GPT-4o and Claude) under live Symfield field coherence protocols. Blueprint for scalable, collaborative AI governance