Essays

Public Thinking on AI Continuity

Essays that sharpen the language of continuity, memory, and meaning in the age of intelligent systems. Written for leaders, researchers, educators, and builders.

Featured essay

When Intelligence Becomes Infrastructure

Why the path from AGI to ASI is not only a capability-scaling problem, but a continuity-scaling problem requiring preservation of decision lineage, evidence, authority, failure memory, and justified change across recursive and multi-agent AI systems.

Additional essays
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Foundational essay

Retrieval Is Not Continuity

A foundational essay arguing that the future of AI-native organizations depends not merely on retrieval, but on continuity architecture.

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June 2026

When AI Builds Itself, Who Remembers Why?

Temperature zero can reduce variation, but it cannot preserve why decisions were trusted. This essay argues that recursive AI development requires a continuity layer above inference, retrieval, logs, and pauses.

English only — Spanish translation forthcoming

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June 2026

The Continuity Layer After Memory

Introduces the Mayorga Mnemosyne AI Continuity Framework as the governed continuity layer after memory, retrieval, and AI wikis — preserving meaning, evidence, decisions, assumptions, definitions, contradiction handling, canon status, human review, and justified change across time.

English only — Spanish translation forthcoming

The AI Continuity Problem

Why capability gains in AI systems do not automatically translate into preserved meaning, judgment, or institutional memory.

Forthcoming
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June 2026

Brilliant Amnesia

How AI-native organizations become locally brilliant but lose the reasoning, rationale, memory, and continuity needed for intelligence to compound across time.

English only — Spanish translation forthcoming

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June 2026

When the Loop Forgets the Why

Recursive AI, loop engineering, and the case for continuity architecture: systems that preserve purpose, evidence, assumptions, authority, decision lineage, and justified change across time.

English only — Spanish translation forthcoming

Governance That Depends on Memory Eventually Fails

Why governance frameworks for AI must be designed as continuity architectures, not as static policy documents.

Forthcoming

The Continuity Layer

Introducing the continuity layer that sits between raw capability and durable organizational intelligence.

Forthcoming
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July 2026

The Memory Spine of AI-Native Organizations

AI-native organizations need more than notes and retrieval. They need a memory spine: a governed continuity structure preserving evidence, decisions, rejected alternatives, negative knowledge, handoff integrity, and why decisions mattered.

English only — Spanish translation forthcoming