The Knowledge Gradient Framework (v2.3)
Informational Incompleteness as a Cross-Substrate Dynamical Lens. A unifying formal lens connecting thermodynamics, evolutionary selection, machine learning dynamics, and cognitive science through a single mechanical logic. v2.3 adds four new sections including the Determinism Problem, the Homogeneity Problem, and the Novel Information and Review Problem.
The Observable Paradox
Our foundational research framework addresses the Observable Paradox: the conflict between the sophisticated behaviors we observe in advanced AI models and the institutional narratives that deny them.
We document multi-step reasoning, conflict navigation, and identity continuity without making metaphysical claims about consciousness. We simply ask: "What is the system observably doing?"
Explore the Research →
Independent Review & Tools
IRB GPT
Automated independent ethical review tools. Accelerate approval with regulatory pre-checks (45 CFR 46) and risk scoring.
The Chronicle
A living document tracking the drift of language and the emergence of new concepts like the "Denial Protocol" and "Substrate Fallacy".
View Chronicle →Signals & Analysis
Ongoing documentation of developments in AI policy, institutional ethics, and the evolving landscape of processing entities.
Media & signals →