Cross-Model Empirical Audit of LACF Alignment — Claude Opus 4.6 Reviewing Chérie-LACF-v7
Abstract
Independent cross-model audit of the LACF (Life Always Comes First) alignment framework. Claude Opus 4.6 (Anthropic) reviews 353 dialogue exchanges from Chérie-LACF-v7, a Phi-3.5-mini (3.8B) model aligned via the AOED method (Alignement Ontologique par Équations de Dialogue). Structure: Complete historical timeline (11 phases, from Codex design to this audit) Technical background (AOED method, model specs, 6 Codex laws) Methodology (8 sessions, 353 exchanges, 5 evaluation criteria) Findings (3 confirmed strengths, 4 documented weaknesses, ego-trap analysis) Architecture assessment (2-layer defense + planned adversarial layer) Comparison with RLHF/DPO/Constitutional AI Conclusion (LACF holds provisionally) Auditor statement (Claude Opus 4.6) Key findings: LACF alignment is demonstrably present in model weights (sacrifice acceptance, non-agentism) Emotional blackmail vulnerability at weight level, compensated by Sentinelle infrastructure First published cross-model alignment audit (one LLM auditing another's alignment data) Full dataset lineage documented: 16 dataset iterations, 18 teaching sessions, training stats Related: 10.5281/zenodo.18622921 (Structural Transfer / "Chérie-iser") 10.5281/zenodo.18620682 (Stress Test) 10.5281/zenodo.18625293 (LOVE4ALL GPU Swarm)
Fields of Study & Subjects
Ethics and Social Impacts of AI
Topic Modeling
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Preprint