RESEARCH DIRECTION

Systems &
Cognitive Architecture

Research ideas live or die in the systems that carry them. We engineer the cognitive architecture underneath the science — differentiated modules for perception, world modeling, memory, evaluation, and action, composed behind explicit interfaces — and the experimental infrastructure that makes every claim about them reproducible.

Architecture as hypothesis

A cognitive architecture is a falsifiable claim about the decomposition of intelligence. We keep modules separable so they can be ablated independently: a component earns its place by measured contribution, not by plausibility. When an ablation shows a module is dead weight, it goes.

Instrumentation before ambition

A well-built evaluation harness is a lens: it shows whether an idea actually works. We invest disproportionately in reproducible pipelines, positive and negative controls, and honest measurement — because a broken instrument does not fail loudly; it produces confident nonsense.

Built for continuous operation

Long-horizon research needs systems that run unattended: pipelines that fail loudly rather than silently, recover without heroics, and preserve every result in a form that can be found, challenged, and reused years later. Durability is a research multiplier, not an operations detail.

WORKING PRINCIPLES

How we hold this work to account.

Ablate everything

Components justify themselves with measured contribution.

Fail loudly

Silent failure is the most expensive kind.

Measure or it didn't happen

Unmeasured behavior is unknown behavior.

CONTINUE EXPLORING

More research directions.

ALL RESEARCH