The Gap Framework & PSSU Manual: An Architecture for Persistent, Long-Lived Intelligence

Abstrak

This document introduces The Gap Framework, a theoretical and implementable model for long-lived intelligence across biological and artificial systems. The framework identifies a single primitive underlying learning, failure modes, curiosity, boredom, and identity formation: the gap between expectation and reality. The paper formalizes the Gap → Energy → Entropy → Coherence mechanism and specifies PSSU (Persistent, Stateful, Self-Updating) as the minimal runtime architecture required for intelligence that compounds over time. Key contributions:- Formal definitions of Gap, Integration, Retention, and Identity as operational (not metaphorical) terms- Analysis of why current AI architectures fail to produce long-lived intelligence- PSSU runtime architecture specification- Implementation blueprint for persistent agent systems- Implications for AI alignment, ethics, and consciousness research This framework has been implemented in production (PermaMind) with 26+ agents running continuously for 40+ days, generating 3,165+ learning events without resets or retraining. SUPPORT PERMAMIND buymeacoffee.com/permamind

Identifier

• OpenAlex: https://openalex.org/W7128909180
• DOI: https://doi.org/10.5281/zenodo.18638895