Glossary
Foundational Terms
Agentic Intelligence
AI systems that operate with autonomy, memory, and adaptive decision-making—able to initiate, delegate, and evolve within a defined context. Agentic intelligence marks a shift from static models to living systems of reasoning and action.
Cognitive Supply Chains
The structured flow of knowledge, inference, and decision-making across humans, AI agents, APIs, and classical systems. A cognitive supply chain emphasizes modularity, trust, and traceability in how intelligence is coordinated at scale.
Post-LLM Intelligence
A framing for AI systems that go beyond large language models (LLMs), incorporating agents, orchestration, reversibility, and architectural awareness. Focuses on the limits of language-based models and the need for systems that are reasoning-aware and temporally grounded.
Quantum-Aware AI Infrastructure
Design principles and systems built with the assumption that quantum computation, communication, or sensing will interact with classical AI pipelines. Includes considerations of noise, reversibility, decoherence, and hybrid state representation.
Information as a Physical Resource
A worldview treating information not as abstract data, but as something that occupies time, space, and energy. Draws from thermodynamics, quantum physics, and edge computing to reframe how we build AI systems under real-world constraints.
Signature Terms (Coined / Internal Vocabulary)
Data Gravitas
The recognition that every dataset carries ethical weight, lineage, and impact. Data Gravitas calls for stewardship over exploitation—treating data not just as fuel, but as a responsibility with systemic consequences.
The Compass at the Collision Point
Metaphor for those guiding the convergence of AI and Quantum. Refers to leaders or frameworks that offer orientation, integrity, and foresight amidst the chaos of technological fusion.
Embodied Foresight
A leadership principle that combines strategic intelligence with somatic presence—designing systems not from abstraction alone, but from lived awareness of consequence, timing, and human limits.
Convergence as Creation
A foundational belief that the intersection of AI and Quantum isn’t just technological—it’s ontological. New forms of knowing, acting, and organizing emerge, requiring first-principles design of governance and infrastructure.
Irreversibility Layer
A conceptual layer in system design that tracks which decisions, once made, have permanent consequences. Used in agentic AI governance and hybrid classical-quantum interfaces to signal when human oversight is needed.