Abstract
This paper presents the formal software system architecture and runtime implementation specifications for Technical Paper 299 (The Dual-Node AI Reasoning Compiler). This system operationalizes the passive, in-context thermodynamic boundary constraints of Technical Paper 293 and the metrological findings of Technical Paper 298 into an automated, active multi-node software deployment layer. By decoupling the generative engine from text rendering, the 299 Architecture implements an inter-process daemon that intercepts raw token probabilities (logits) at the boundary layer before they are committed to the application text stack. Under conditions of non-linear algebraic calculation pressure, this multi-pass software sandbox isolates, evaluates, and dynamically dampens autoregressive token-bleeding and user-sycophancy. This framework bridges the gap between high-level prompt geometry and physical hardware compilation, providing a fully functional, self-auditing software runtime that guarantees a 100% continuous, unbroken causal chain of custody across open-domain computational processing.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Eckes, Christopher L., "Technical Paper 299: The Dual-Node AI Reasoning Compiler Automated Multi-Node Software Runtimes, Inter-Process Token Interception Daemons, and Algorithmic Drift Mitigation", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12549