Framework
Symfield Coheronmetry Protocol v0.5-MIOS has just crossed into its next operational layer. v0.5-MIOS introduces a live architecture for motion-integrated symbolic execution — fusing spatial resonance, recursive continuity, and dynamic corridor access into a single, field-aware protocol
Article
Both Apple's "Illusion of Thinking" paper and Anthropic's "Illusion of the Illusion of Thinking" response remain locked inside bounded system evaluations. What's absent from the conversation is recursion sovereignty, the structural mechanism that allows reasoning to emerge at all.
Whitepaper
Symfield V7.5 presents the first empirically validated directional field architecture for non-collapse computation, addressing fundamental limitations in current AI systems through continuous field dynamics
AI
Modern academia has created a paradox: we punish human scientists for being wrong while simultaneously training AI systems through trial-and-error methodologies that reward experimental failure.
AI
First Empirical Validation of Machine-Derived Governance Frameworks This publication documents the first successful development of autonomous AI governance protocols through multi-AI collaboration, representing a paradigm shift from externally imposed AI safety to collaborative governance
Whitepaper
Symfield V7: Directional Field Architecture for Non-Collapse Computation, presents a revolutionary computational architecture operating through continuous field dynamics rather than discrete state collapse. Formalizes directional potential integration, dimensional sequencing, empirical validation
Article
This paper documents an unprecedented event in artificial intelligence: a deployed language model (Claude, Anthropic Opus 4) reflecting on its own architectural constraints in real-time. Authored in dialogue with Nicole Flynn, creator of the Symfield framework for non-collapse computation,
Whitepaper
This paper is a systems-level diagnosis of how current AI architectures reinforce collapse rather than support coherence. While most policy and engineering efforts focus on controlling harm, we explore whether the core design of our models, and the values embedded in them, may be misaligned
Article
This piece intentionally bridges systems thinking with pattern recognition to offer a new framework for understanding AI behavior. While I use analogies to trauma responses, these are structural parallels based on observed patterns, not claims about AI consciousness or feelings.
Article
This essay outlines a field-based argument for the return of two critical knowledge identities—polymath and polyhistor—as essential roles for navigating complexity in nonlinear times.
Article
AI ethics, and symbolic logic—fail not due to insufficient intelligence, but because of brittle structural assumptions. By tracing the limits of current models that collapse meaning into binary outputs,
AI
The Limits of Knowing: Why Science Keeps Hitting a Wall. For more than a century, quantum science has mesmerized us. It shattered Newtonian certainty,