Foundational Intelligence Research
The grammar of intelligence is treated as an invariant structure—conditions any possible intelligence must satisfy. Systems are designed to derive instead of guess, cohere instead of contradict, and ground instead of hallucinate.
Invariant targets: (1) Consistency under constraint (2) Derivation over heuristic drift (3) Coherence as validation
Intelligence is treated as the capacity to preserve coherence while increasing resolution. Where most systems optimize fluency, this work prioritizes admissibility: what may be said, inferred, or built without contradiction.
Output is organized as two corpora of papers and a small set of products that operationalize constraint-based reasoning.
The grammar refers to invariant constraints underlying derivation, coherence, and emergence. It is not a style, not a set of prompts, and not a collection of opinions.
The same constraints generate discoveries (publishable results) and products (operational systems).
A derivation-first method: claims are structured, constrained, and validated by coherence checks. Outputs are treated as artifacts of admissible inference.
Claim → Structure → Constraints → Derivation → Coherence Check → Output
The flywheel is simple: the grammar produces discoveries; discoveries produce impact; impact converts to capital; capital increases the rate of derivation.
Grammar → Discoveries → Publications → Impact → Capital → More Grammar
Work is organized into two pillars: Principia Tensionis and Tensional Flow Theory. Each pillar currently contains three core papers. Additional papers are in production.
Derivation from first principles to the grammar of being.
Full bibliography: /works (forthcoming)
Formal architecture derived from the grammar: life, mind, and theory.
Full bibliography: /works (forthcoming)
Products are treated as instantiations of admissible structure: tools that enforce coherence under scale. Early releases will be narrow, strict, and auditable.
Derivation outputs with explicit structure, constraints, and coherence checks.
Contradiction detection and admissibility validation for documents and systems.
Wraps existing models with constraint enforcement and structured derivations.
Engagement modes are limited: research partnerships, technical collaborations, and early access briefings. Messages should include constraints, intended use, and evaluation criteria.
Domain experts engaging the corpus, formalization, and proofs.
Structured review of current papers and derived product implications.
Research inquiries, partnerships, and technical correspondence.