Observable AI cognition
Cognition is studied through measurable runtime state rather than hidden model weights alone.
Cognitive Runtime Lab
Cognitive Runtime Lab is an independent research unit studying externally observable AI cognition. Its work focuses on runtime attractors, measurable cognitive dynamics, safety arbitration, operational concept formation, and reproducible experiment pipelines.
Cognition is studied through measurable runtime state rather than hidden model weights alone.
ADAM is the lab's first research system for attractor dynamics and concept formation.
Claims are expected to survive replay, ablation, cross-seed checks, and artifact audit.
People
Lab Principle
Cognitive Runtime Lab is organized around one public standard: cognitive claims about AI systems should be tied to observable state, repeatable evidence, and careful limits.
The lab develops the Cognitive Runtime Project and ADAM research system.
Research correspondence, collaboration inquiries, and artifact requests can be directed here.