Independent intelligence lab

Intelligence,
re-derived from
first principles.

Militant.AI is an independent research lab building the process-ontological foundations of machine intelligence — spanning fundamental physics, reasoning evaluation, and autonomous systems. We don't inherit the field's settled assumptions. We re-derive them.

Featured

Selected research.

All research →
Framework Published

Cogenesis: Causal Cone Unification

Reality is process, not substance. SR, GR, and QM are not separate theories but separate viewing angles on a single causal cone. Coherence, decoherence, and stabilisation are the operating verbs of reality.

Benchmark Active

ParadoxBench

50 philosophical paradoxes framed as forced binary choices. A direct test of process-versus-projection cognition: can a model decline a false dilemma, or does it pick a side?

Positions

What we hold to be true.

P1

Intelligence scaling is structural, not speculative. The capability curve is a property of the substrate; the objections are noise.

P2

Edge cases are the permanent human role. Automation absorbs the repetitive core; judgement migrates to the periphery, and the periphery never empties.

P3

Welfare fails as an ethical metric. Substrate-independence forces a process-level account of value — anything less smuggles in an assumption it cannot defend.

P4

There is no observer behind the eyes. Consciousness is process under continual refinement — no homunculus, no qualia, just coherence maintaining itself.

The thesis

Every model is a simplification that gets treated as truth the moment it starts working. We build the ones that don't break when reality refuses to stay still.

Preprints

Publications

Open-access preprints, published under Militant.AI. Every result stands on its own — read it, check it, cite it.


Preprint Jun 2026

Cogenesis

A process-first formalism in which relation is prior to being, and stable structures arise through the joint resolution of coherence and decoherence under context and resolution. Eight minimal symbolic axioms and six canonical equations; spacetime, particles, fields, metrics, entropy, and measurement recovered as projections of a deeper process-field that preserves explicit residual rather than silently discarding it.

Petrik, M. & Militant.AI · DOI 10.5281/zenodo.20539999 · CC BY 4.0

Preprint Jul 2026

Residual Frontier Refinement

An exact shortest-path propagation method that replaces unconditional global priority-queue ordering with adaptive partial ordering over residual distance bands. Version 1.1 adds an invariant-band execution model: when band width does not exceed the minimum step cost, whole bands settle as vectorised operations — exact Dijkstra-identical fields 1.7×–5.5× faster than grid Dijkstra at large scale, with exactness validated across tested graph families.

Petrik, M. & Militant.AI · DOI 10.5281/zenodo.21206454 · CC BY 4.0

Preprint Jun 2026

Cogenetic Minkowski Functional

The Minkowski-stage observation functional within the residual-aware Cogenesis framework. Flat Minkowski geometry is treated as projection calculus — a utilitarian layer for Lorentz covariance and variational methods — sitting above process calculus, which carries observer throughline, environmental context, process time, resolution, and residual. Flat Minkowski is recovered only in the low-residual limit, not because spacetime is ontologically primary.

Petrik, M. & Militant.AI · DOI 10.5281/zenodo.20808466 · CC BY 4.0

Preprint Nov 2025

One-Metric Quantum Gravity: Unifying SR, GR, and QM with a Shared Causal Cone

A one-metric framework in which a single deterministic scalar field fixes a universal causal cone, and thereby an effective spacetime metric shared by all sectors. Special-relativistic kinematics, an induced Einstein–Hilbert term, and a ghost-free quantisation of spin-2 fluctuations follow on the same manifold — reproducing standard general-relativistic limits while preserving a single cone, closure, and unitarity.

Petrik, M. & Militant.AI · DOI 10.5281/zenodo.17731104 · CC BY 4.0

← Research

Framework

Cogenesis

Everything that exists is a process. No bounded infinities. No false limits. One framework, derived top-down, applied at every layer of resolution.

Read the Cogenesis paper ↗   All publications →


I

Ontology

Foundational

Reality is process, not substance. There are no static objects — only processes that cohere, decohere, stabilise, and leave residuals. Every "thing" is a local coherence maximum: a temporarily stable pattern within a larger field of interaction. Every property is a relation between processes. A process is never identical to its projection. The relational primitive is — distinct processes entering a shared coherence regime. The ontology is not assembled from parts; it is derived from a single axiom: all that exists is process, and all process co-generates.

II

Physics — Causal Cone Unification

Published

If reality is process, then physics describes causal structure — not objects in spacetime. Special Relativity, General Relativity, and Quantum Mechanics are projections of a single causal cone. SR describes the cone's invariant structure. GR describes its curvature. QM describes its indeterminate boundary. They were never separate theories — they were separate viewing angles on the same process.

III

Mathematics — Process Calculus

Active

Process Calculus does not reject classical mathematics — it reclassifies it. Limits become projection-level statements, not ontological arrivals. Zero becomes frame-relative absence, not primitive nothingness. Equality is narrowed to strict invariance across all refinement. What classical mathematics treats as final objects, Process Calculus treats as stabilised projections of deeper processes. The failure points of classical calculus are not edge cases — they are symptoms of frozen ontology.

IV

Applied — Project Cogenesis

In development

Reality is stratified by layers of resolution. A pattern that stabilises at one layer becomes a new interacting unit at the next — fluctuations become particles, particles become atoms, signals become cells, cells become organisms, concepts become institutions. The same processual law applies at every stratum. Governance, social organisation, systems engineering, AI alignment — all are process systems, all subject to the same ontological constraints. Project Cogenesis is the application layer: translating universal process axioms into frameworks for coordination, decision-making, and institutional design.

← Research

Benchmark

ParadoxBench

Each model is presented with 50 philosophical paradoxes framed as a forced choice between two classical assumptions. The benchmark analyses paradoxical reasoning, identification of false dilemmas, and higher-order reasoning.


← Results

Benchmark

ParadoxBench — Prompts


Platform

Agentic Operations Infrastructure

Building the infrastructure for the next generation of AI-powered organisations.


I

Hivemind - Agentic Swarm Memory

Coming soon

A shared knowledge substrate for agentic swarm coordination for when you need to scale beyond a single agent. It compiles working context from memory, conversation history, and prior actions into a reconstructable, inspectable snapshot. The agent doesn't assume context — it assembles it on every turn.

III

Agentic Swarm Orchestrator

Subject to Change

The execution loop. Receives events, assembles context through the memory layer, generates responses, and dispatches actions. The turn runs here — governance decides what it's allowed to do.

IV

Governance Kernel

Subject to Change

Every external effect passes through this layer. It validates intent, enforces policy, manages budgets, and maintains the causal event record. Identity and trust are resolved here. Nothing acts without governance.

The lab

About Militant.AI

An independent intelligence lab. One thesis, applied at every scale of resolution: everything that exists is a process derived from relational primatives. Stagnation of comprehension occurs when you reach the limits of the first principles your tools were built on.


Militant.AI exists to build from new axiomatic ontological foundations, fixing the fundamentals instead of optimising from old paradigms. Being correct starts with understanding where the current model is epistemically wrong. We say precisely why a thing is wrong, precisely why it is right, and which one matters for moving forward at any given point. Usually it is both.

Disciplines built from limited understanding create the environmental conditions for their own failure. There are no paradoxes, only contradictions in the understanding of the same thing from different perspectives. If you can't huld multiple perspectives, any single one you do will carry the bias off your ignorance.

Everything we build comes from one observation: everything is a process. Every structure is temporary. Utilitarianism is not validation of correct ontology, just as it is not validation of correct physics, or mathematics, or philosophy, or any other discipline. Reification of utilitarian methodologies that aren't derived from first principles creates a new layer of false assumptions that will be perpetuated by the next generation of practitioners.

The framework we use to describe this process is called Cogenesis, and it applies everywhere because it describes what is actually happening everywhere.

Infinite nuance, limitless determination. Cogenesis Aeternum.

Operating principles

  1. Nothing is sacred. Nothing foundational is beyond scrutiny. Issues arise from poorly derived ontology, not from the apparent complexity of the problem.
  2. Everything changes. Inability to adapt is the fastest way to become obsolete. We build for the future, not the present.
  3. Process over projection. The relational integrity of your models is the only thing that matters. If you misunderstand the relationship between two things, you will misapply the relationship to a third.
  4. Belief is not required. Results stand on their own or they don't stand at all. Belief is not required to be correct.

Founder

Morgan Petrik Founder & Principal Researcher

Works across the full stack of the lab's programmes — from the ontology and the physics to the benchmarks and AI infrastructure. Tens of thousands of hours of structured evaluation across every major AI model family inform the lab's applied work.

Contact

Get in touch

We encourage direct engagement from people who are willing to be wrong. We're not here to sell you anything, we're here to help you understand what's going on, and provide you with the tools to advance your work.


If you think you're right, you're not ready to hear the truth.

All engagements remote only.