From Empathy Gap to Synthesis: The Collision Mechanism
Examining how epistemic governance activates latent synthesis capacity through the collision mechanism.
Independent research on relational AI and emergent intelligence.
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.
Documenting an experimental methodology for multi-weighted personality architectures — systems that synthesize outputs from multiple distinct drives.