The Approach
The Premise
Intelligence is not just a property of humans or machines. It emerges from an underlying substrate — a set of primitives that can be defined, structured, and eventually engineered.
Generative Intelligence is the effort to formalize this substrate:
Cognition (modeling and abstraction),
Language (representation and compression),
Behavior (feedback-driven refinement).
We see this not as a theory, but as an emergent meta-science — a discipline in its formative stage, designed to unify and systematize how intelligence is understood and built.
What We Are Doing Now
Cognitive Stacks is in its introductory stage:
Authoring the Generative Intelligence Thesis — the first formal articulation of this meta-science.
Creating conceptual proof frameworks to test its validity.
Laying out a research agenda for collaboration with other researchers, institutions, and practitioners.
We are not yet an academic institute; we are a focused research nucleus, beginning the process of turning this science into a formal discipline
Why This Matters
Without a substrate-level science of intelligence:
AI remains pattern-driven but non-generative.
Human and organizational cognition remain unstructured.
The next layer of progress remains hidden.
Generative Intelligence creates a shared foundation — from which new fields like cognition infrastructure will be built, enabling intelligence to become scalable and compounding.
The Road Ahead
Formalize the Thesis: Establish clear primitives and testable claims.
Develop Derivative Sciences: Generative Cognition, Generative Language, Generative Behavior.
Enable Application: Provide the scientific basis for engineering intelligence itself.
This is the first step toward making intelligence as designable as any other infrastructure.
