01
Sparse computation
Activate only the mechanisms relevant to the current state, rather than treating every inference step as globally dense computation.
Architecture before scale.
Our research asks a simple question: how much intelligence can be produced by better structure before adding more brute-force compute?
02
Structured memory
Represent concepts, relationships, constraints, provenance and state in forms that remain inspectable and reusable.
03
Auditable reasoning
Separate candidate generation from evidence, evaluation and decision boundaries so confidence can be challenged.
04
Local-first inference
Design around commodity hardware constraints to expose architectural inefficiency early instead of hiding it behind infrastructure.
Method
Prediction before observation.
We treat architectural ideas as hypotheses. Expected behavior is stated before experiments; failures are traced to mechanisms; evaluation cases are isolated from candidate generation; and successful outputs are not accepted as proof of a sound method.
Long-term research initiative
PROJECT Z/01
Beyond the prompt.
A long-term research initiative investigating what comes after today's prompt-driven AI systems.
Explore Project Z/01 →In active research · Not publicly available