Cognitive Runtime Lab

The unit behind the project.

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.

Focus

Observable AI cognition

Cognition is studied through measurable runtime state rather than hidden model weights alone.

System

ADAM as first testbed

ADAM is the lab's first research system for attractor dynamics and concept formation.

Standard

Evidence before claims

Claims are expected to survive replay, ablation, cross-seed checks, and artifact audit.

People

Small by design, evidence-first by default.

Founder / Principal Investigator Dr. Elroy, Chen Yao-Sheng
Research System ADAM
Collaborators Listed with permission

Lab Principle

Build systems that can be inspected before they are believed.

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.

Identity Independent research unit

The lab develops the Cognitive Runtime Project and ADAM research system.

Contact elroy@cognitive-runtime.org

Research correspondence, collaboration inquiries, and artifact requests can be directed here.