Software architecture research
Cognitive CPU.
Cognitive CPU studies a software architecture for translating AI reasoning into structured, executable work. It examines how objectives and context are represented, how decisions cross the boundary into operations, and how execution state returns as feedback. The research asks what interfaces make that lifecycle understandable, testable, and adaptable when outcomes diverge from intent.
How can reasoning and execution share a coherent model of work?
The central question is how to preserve the relationship between an objective, the decisions made toward it, and the effects of execution. Areas of study include task boundaries, state transitions, feedback interpretation, and the conditions for revising or stopping work. Evaluation concerns whether a system can explain its current state, distinguish intended actions from observed outcomes, and restore relevant context after interruption. These are architectural questions about software behavior across a lifecycle.
Connected research.
Cognitive CPU explores how Memory Lake could supply relevant context and how General Organ Runtime could carry structured work into execution. Their proposed interfaces raise questions about state ownership, feedback, and the continuity of work.
Public conceptual overview. Research connections describe areas of study.