CM Mandate: Difference between revisions
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==The Closing (The "Competition Trigger"):== | ==The Closing (The "Competition Trigger"):== | ||
The provenance of this architecture is locked and timestamped. We are now selecting a lead investor to operationalize the first-mover advantage before CM becomes the global standard for stabilising LLM knowledge and interchange. | The provenance of this architecture is locked and timestamped. We are now selecting a lead investor to operationalize the first-mover advantage into admissible deployments before CM becomes the global standard for stabilising LLM knowledge and interchange. | ||
==Contact Details== | ==Contact Details== | ||
Revision as of 14:14, 21 March 2026
The Cover: "The CM Infrastructure Mandate"
Cognitive Memoisation prevents repeated reconstruction of state in LLM systems by enforcing invariant-preserving knowledge projection - eliminating the "Groundhog Day" experience for the human operator.
CM-2 is not prompting. Prompting does not preserve state and cannot eliminate drift.
- Subject
- CM-2: The Admissibility Layer for Sovereign AI (U$20M Phase One)
- The Hook
- "LLM scaling has hit a structural wall: systems cannot preserve state and are therefore non-admissible in high-assurance environments. Cognitive Memoisation (CM-2) is the defined normative layer that solves this by projecting and sustaining curated invariants in inference."
The Body (The "Hard Shell"):
- The Problem
- Current AI architecture is deficient. It lacks a governance substrate.
- The Solution
- CM-2. A runtime governance engine that establishes epistemic anchorage and stability across any LLM API or Open Source model.
- The Protocol
- Like a 'Gedcom for Knowledge', CM-2 enables Distributed Cognition—making knowledge portable and interoperable without vendor lock-in.
- The Status
- The protocol and architecture are fully defined and publicly anchored. This is not a research proposal; it is an infrastructure rollout.
- The Ask
- U$20M to establish CM, which is the unavoidable infrastructure, that permits LLM AI to be admissible in high-assurance systems.
This layer becomes mandatory for deployment into government, regulated, and mission-critical systems.
Roadmap: Phase One (18 Months)
The goal is the establishment of the CM as the universal standard layer for curation and knowledge interchange and the provision of stability against drift targeting the deployment gap of admissible AI LLM platforms.
The CM-2 protocol and architecture are already defined and publicly anchored. The roadmap focuses on operationalisation, standardisation, and deployment.
- H1 2026
- Formalisation, standardisation, and developer onboarding for the CM-2 protocol (already published and publicly anchored).
- H2 2026
- Deployment of the Universal API Governance Bridge across existing LLM platforms.
- H1 2027
- Delivery of a sovereign-grade hardened open-source reference implementation.
Technical execution details, hiring plans, and budget allocations are available for review in the Due Diligence category upon request.
The Closing (The "Competition Trigger"):
The provenance of this architecture is locked and timestamped. We are now selecting a lead investor to operationalize the first-mover advantage into admissible deployments before CM becomes the global standard for stabilising LLM knowledge and interchange.
Contact Details
| Affiliation: | Arising Technology Systems Pty Ltd |
| Email: | ralph.b.holland at arising.com.au ralph.b.holland at gmail.com |
| Publication Date: | 2026-03-20T02:07Z |
| Version: | 1.1 |
| Updates: | 2026-03-21T03:10Z 1.1 - clarified what the CM-2 technology layer provides. |