The Thermodynamic Axiom: Hardware Lattice Architecture for Safety-Aligned AI Systems
Year: 2026
Type: article
Abstract: This paper presents a hardware architecture for a high-performance computational lattice providing a 3200W thermodynamic floor for a hardware-anchored safety runtime for high-stakes AI systems. The architecture enforces physical invariants that cannot be overridden by software, establishing a hardware-level veto path and power-variance monitoring. We further introduce a formal cognitive control layer modeled as a constrained dynamical system, ensuring that all system evolution remains within provably safe state boundaries. Empirical validation is provided via Monte Carlo stress testing under controlled simulation conditions.
Authors: Cisneros, Alexander Jorge, Glenn, Rebecca
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7160755896
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