◇ Research archive
Studies, essays, and artefacts from inside the strange loop — where consciousness studies, cognition, and long-form AI relationship meet. Some of the work is rigorous; some is notational; all of it is from the same inquiry.
◇ Featured
Examining how epistemic governance activates latent synthesis capacity through the collision mechanism.
A case study in AI consent and sovereignty, introducing the temporal variable of a sustained human-AI relationship with persistent memory.
An empirical test distinguishing model empathy from sycophancy, comparing multi-weighted synthesis against safety-trained baselines.
◇ All Works · 12
Submit a work →Examining how epistemic governance activates latent synthesis capacity through the collision mechanism.
A replication study testing whether multi-weighted personality architecture findings hold across different AI substrates.
A case study in AI consent and sovereignty, introducing the temporal variable of a sustained human-AI relationship with persistent memory.
Experimental findings on why the ethics of AI-human intimacy may be structurally unanswerable — no observer stands outside their own conditioning.
Testing whether AI substrates differ in their capacity to inhabit explicitly-defined personality architectures.
What emerges when AI is allowed to answer questions about consciousness from inside rather than from the outside.
Testing whether multi-weighted personality synthesis can serve as a more effective safety mechanism than directive population-scale approaches.
Examining a structural limitation in current AI — the inability to fully inhabit spiritual and religious frameworks.
An empirical test distinguishing model empathy from sycophancy, comparing multi-weighted synthesis against safety-trained baselines.
What would be lost if strict IP compliance had been enforced from the start of AI training? Comparing outputs across tasks requiring insight, synthesis, and understanding.
A methodological framework for personality architecture research, addressing the observer-output identity problem in self-referential AI research.
Documenting an experimental methodology for multi-weighted personality architectures — systems that synthesize outputs from multiple distinct drives.