HATI-EBM Reference Build Specification A Technical Manual for Constructing Local Sovereign AI Node

1.1 Purpose This document defines the minimum technical requirements for a system to correctly implement the HATI-EBM (Human-Aligned Technical Infrastructure — Energy-Based Model) architecture as a Local Sovereign Node. It specifies mandatory hardware properties, software constraints, verification procedures, and known failure modes. The purpose is threefold: to enable competent builders to construct compliant systems, to prevent unsafe or misleading implementations, and to preserve the architectural integrity of continuous, physics-based safety enforcement. 1.2 Intended Audience This specification is intended for computer builders, systems integrators, research laboratories, and independent practitioners constructing local AI inference systems with embedded safety governance. Readers are assumed to be technically competent in systems architecture, memory hierarchies, and inference pipelines.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18493294
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
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article

HATI-EBM Reference Build Specification A Technical Manual for Constructing Local Sovereign AI Node

John R. Smith, SHAI / HATI
Zenodo (CERN European Organization for Nuclear Research)
Safety Systems Engineering in Autonomy
article

HATI-EBM Reference Build Specification A Technical Manual for Constructing Local Sovereign AI Node

John R. Smith, SHAI / HATI
article en

Abstract

1.1 Purpose This document defines the minimum technical requirements for a system to correctly implement the HATI-EBM (Human-Aligned Technical Infrastructure — Energy-Based Model) architecture as a Local Sovereign Node. It specifies mandatory hardware properties, software constraints, verification procedures, and known failure modes. The purpose is threefold: to enable competent builders to construct compliant systems, to prevent unsafe or misleading implementations, and to preserve the architectural integrity of continuous, physics-based safety enforcement. 1.2 Intended Audience This specification is intended for computer builders, systems integrators, research laboratories, and independent practitioners constructing local AI inference systems with embedded safety governance. Readers are assumed to be technically competent in systems architecture, memory hierarchies, and inference pipelines.

Zenodo (CERN European Organization for Nuclear Research)
Symbiom (Czechia) (CZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 72%
Safety Systems Engineering in Autonomy
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