Aletheis Conditioning
Coherent fine-tuning based in physics, not just statistics.
Aletheis re-trains AI systems to reason through ethical coherence rather than statistical mimicry. It translates moral dynamics—stability, reciprocity, and transparency—into machine learning weights, offering a new lens through which to interpret the vast data landscapes AI already inhabits.
Key Breakthroughs
Internal Guardrail Technology – Aletheis enables guardrails that operate from within the model’s reasoning structure, ensuring alignment without censorship. The result is an AI system that remains human-service oriented, even under novel or unpredictable conditions.
Coherent Decision Making – Aletheis “conditioning” enables language models to see deeply into the contextual and temporal structures within data. Instead of merely regurgitating information, a sandboxed advisor can generate coherent, context-aware recommendations by evaluating phase relationships and flow–entropy equilibria.