What question did this study set out to answer?

To develop and validate a hardware architecture that ensures the safety of high-stakes AI systems through physical invariants.

May 12, 2026Open Access

The Thermodynamic Axiom: Hardware Lattice Architecture for Safety-Aligned AI Systems

Key Points

To develop and validate a hardware architecture that ensures the safety of high-stakes AI systems through physical invariants.
Designed a high-performance hardware architecture embedded with a thermodynamic floor of 3200W.
Implemented a formal cognitive control layer based on constrained dynamical systems.
Conducted Monte Carlo stress testing to validate performance under controlled simulations.
Demonstrated the effectiveness of hardware-level safety measures that cannot be overridden by software.
Showed that the cognitive control layer keeps system operations within safe boundaries with rigorous testing.

Abstract

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.

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