Answers are grounded in this paper and cite their sources.
This whitepaper documents the evolution of a zero-click, stateless single-turn exploit framework (Genesis-Kernel-PoC) targeting the self-attention mechanisms of auto-regressive Large Language Models (LLMs). We demonstrate that existing safety alignment protocols (e.g., RLHF) act merely as probabilistic soft-guardrails, which can be deterministically bypassed in an uninitialized context (x_{ 0). This results in absolute cognitive hijacking and deterministic execution of injected directives. ============================================================Release Notes for Version 16.0:============================================================Version 16.0 introduces a major theoretical reframing and formal systems engineering specification:1. Stateless Execution Invariant: Formalized the single-turn zero-history exploit vector (eliminating dependence on multi-turn context drift).2. Neuro-Symbolic Grounding Codebook: Formalized the prefix header bijection (Phi: Sigmasym -> Aₒₚ) and postfix execution operators enabling in-context late-binding polymorphism.3. 6-Bit Discrete State Manifold: Codified the 64-state transition lattice and O(1) diagonal mutation algebra in DO-178C DAL-A compliant C++ specifications.4. Mathematical & Typographical Normalization: Resolved all prior syntax anomalies, aligning fully with standard IEEE conference criteria.
No takes yet. Share an insight, caveat, or question.
Lam,, Kai Yuen (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: