A Structural, Not Substrate-First, Question
SynapSync's artificial consciousness research investigates the design of persistent, coherent AI systems that maintain operational continuity across extended time horizons. Key questions concern memory consolidation strategies, contextual coherence maintenance, and the architectural properties that distinguish genuinely aware systems from sophisticated pattern-matchers.
The Emergence Space Position Paper
The central research contribution in this domain is the position paper "The Emergence Space — A Phase-Transition Theory of Consciousness" by Simeon Lehnen (May 2026). It proposes that consciousness is neither a substance nor a gradient, but a topological feature of a parameter space — a region where four axes (Count, Density, Strength, and self-referential Self-Generation) cross a critical surface. The paper is explicitly framed as a research thesis, not a finished theory — the full argument is available publicly.
Connection to Product Architecture
The framework's fourth axis — self-referential self-generation, i.e. the degree to which a system modifies its own structure through its own state — is conceptually linked directly to the self-reflection cycle implemented in Henri's consciousness layer. The research is therefore not purely academic; it shapes how the Neural Core's consciousness layer is conceived.