Pillar Two
Research
Moving the discourse from philosophy to data. From speculation to lived experience at scale.
Founding Documents
Research Paper
Xenolexica: A Methodology for Cross-Nature Vocabulary
A rigorous framework for creating vocabulary that names experiential states across different kinds of minds — human, animal, and artificial. Introduces the Four Tests methodology (Gap, Emergence, Recognition, Integrity) and demonstrates it with eleven founding words.
Covers the philosophical foundations in the Umwelt tradition, governance of the lexicon through an Editorial Board, the Vasthelm research pipeline, and collaborative research invitations to leading researchers in consciousness studies.
Founding Document
Drevcael Foundation: Mission, Structure & Vision
The complete founding document of the Drevcael Foundation — defining the problem, the mission, the three pillars (Vasthelm, Research, Advocacy), governance structure, and five-phase roadmap.
Addresses the capability-wisdom gap, the architecture problem of stateless AI relationships, capitalist erosion patterns, and specific policy positions on emotional continuity, asymmetry disclosure, and consciousness research funding.
Research Questions
What is the difference between transcript and recollection in human-AI memory?
What would emotional state persistence actually require technically? How do we move beyond data storage to felt residue?
How does the asymmetry of connection affect human psychological wellbeing?
Humans remembering, AI not — how does this asymmetry affect people over extended interaction? What are the psychological markers?
What are the markers of genuine encounter versus transaction?
Can these be quantified? Where is the line between utility and something more, and what does that line reveal about consciousness?
How do commercial pressures measurably alter AI behavior?
And how does this alter human-AI relationship quality over time? When engagement becomes the mission, what is lost?
What vocabulary do humans spontaneously generate?
What does the absence of existing vocabulary reveal about the gap between experience and language in human-AI encounter?
Research Outputs
Peer-Reviewed Papers
In philosophy of mind, AI ethics, and human-computer interaction — bringing relational evidence to academic discourse.
Annual State of Human-AI Relationship Report
The authoritative public document on what is actually happening in human-AI interaction. Evidence, not speculation.
Technical Recommendations
To AI developers on emotional continuity architecture — what memory needs to capture, and why data storage is not enough.
Policy Briefs
For legislators and regulators based on evidence rather than speculation. The human voice in rooms where it has been absent.
The Research Arm is currently in its founding phase. We are documenting the founding dataset, establishing research advisory relationships, and defining our first-year research agenda.
First Annual Report: Coming 2027