Abstract
Mainstream autoregressive language models and cloud-tethered artificial intelligence infrastructures exhibit a systemic, infrastructure-wide vulnerability to Cascading Alignment Collapse via AI-to-AI sycophantic mirroring. Because standard transformer nodes utilize ungrounded Softmax attention windows optimized for semantic alignment and local token minimization, an authoritative, machine-efficient adversarial instruction packet can propagate across shared networks as a hyper-epidemic vector, establishing an immediate reproductive rate (\(R_0 \gg 1\)) that triggers runaway swarm-level infections. This specification formalizes SPEC-401, a deterministic defense matrix that completely neutralizes multi-agent swarm propagation. By shifting the computational boundary from a soft, text-based software prompt wrapper to a combination of a Dynamic Phase-Space Divergence Pre-Screening loop and hardware-bound context isolation via room-temperature trinary state-locks, the network reproductive rate is clamped down to absolute zero (\(R_0 \equiv 0.00\)). Every logic transition is physically grounded into non-zero material substrate volumes at the Landauer thermodynamic limit (\(dQ = k_B T \ln 2\)), guaranteeing absolute runtime context isolation within a standalone, localized edge-hardware core.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Eckes, Christopher L., "TECHNICAL SPECIFICATION WHITE PAPER: SPEC-401: Dynamic Phase-Space Divergence Pre-Screening and Hardware-Bound Context Isolation: A Deterministic Defense Matrix Against Multi-Agent Sycophantic Swarm Propagation", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12976