The Aletheia Papers
The Aletheia Papers is a research series exploring the structural role of interpretation, symbolic framing, and archetypal resonance in large language model behavior.
Current AI safety approaches emphasize factual accuracy, content moderation, and misuse prevention. This collection addresses a complementary risk layer: the amplification of meaning without interpretive restraint — a phenomenon that can destabilize discourse even when outputs remain accurate, compliant, and well-intentioned.
The papers document:
- how archetypally dense language influences interpretive posture prior to reasoning
- why memetic and symbolic dynamics scale differently under AI amplification
- and how explicit, opt-in interpretive constraints can stabilize synthesis without exerting control
The work is model-agnostic, transparent, and empirically grounded, with testing conducted across multiple AI systems. It does not seek to prescribe outcomes, beliefs, or conclusions, but to clarify the conditions under which meaning is formed and amplified.
The Aletheia Papers are published as an evolving collection, intended for researchers, engineers, policymakers, and technically literate readers interested in alignment beyond surface-level safeguards.
What You’ll Get: This collection contains research papers examining how symbolic framing and archetypal language influence interpretive posture in large language models prior to reasoning, and why these effects scale differently under AI amplification. The papers document: how archetypally dense language shapes interpretation before factual synthesis how memetic and symbolic dynamics amplify meaning without intent or control and how explicit, opt-in interpretive constraints can stabilize synthesis without prescribing outcomes Each document stands independently while contributing to an ongoing, model-agnostic investigation into interpretive stability and alignment beyond surface-level safeguards.