Cognitive Memoisation Is Not Skynet

Abstract

Cognitive Memoisation (CM-2) defines a serialisable form for capturing and communicating knowledge between humans and Large Language Models (LLMs). Since CM-2 enables persistence of knowledge across interactions, it has raised questions about whether such persistence could contribute to autonomous or agentic artificial intelligence, commonly framed through references to science-fiction systems such as “Skynet.”

This paper examines that concern by analysing the operational properties of stateless LLMs, the role of enduring objects in knowledge persistence, and the effects of orchestration and actuation when combined with memoised knowledge. The analysis is conducted through structured thought experiments and fault-tree reasoning that enumerate necessary conditions for agency and autonomous harm.

The paper focuses on identifying which properties are and are not supplied by Cognitive Memoisation, and on distinguishing epistemic infrastructure from agency, intent, and goal formation.

--
This is an anchored - non peer reviewed publication.