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 autonomous systems, reasoning evaluation, and fundamental physics. We don't inherit the field's settled assumptions. We re-derive them.
Cogenetic Intelligence
Adaptive AI without the transformer stack. Incoming data becomes millions of evolving relational clocks in a continuously evolving tensor — learning continuously, no train/inference split, no CUDA, no vendor lock-in.
ParadoxBench
50 philosophical paradoxes framed as forced binary choices. Can a model decline a false dilemma, or does it pick a side?
Cogenesis
Reality as process, formalised. Relation prior to being: eight axioms and six equations from which physics, mathematics, and intelligence are derived — the foundation everything here stands on.
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.
Open work
Research
Original frameworks, benchmarks, and published work. We publish in the open and let the results stand on their own.
Cogenesis
Universal process ontology. Reality is process, not substance — SR, GR, and QM as projections of a single causal cone. Coherence, decoherence, and stabilisation as the operating verbs of reality.
ParadoxBench
AI reasoning benchmark. 50 philosophical paradoxes framed as forced binary choices, testing identification of false dilemmas, paradoxical reasoning, and higher-order thinking.
Preprints
Publications
Open-access preprints, published under Militant.AI. Every result stands on its own — read it, check it, cite it.
Framework & physics
Cogenesis: Causal Singularity of Now
Residual Frontier Refinement: Exact Shortest-Path Propagation with Adaptive Partial Ordering
Cogenetic Minkowski Functional
Cogenesis
One-Metric Quantum Gravity: Unifying SR, GR, and QM with a Shared Causal Cone
Mathematics
A Cogenetic Proof of the Birch and Swinnerton–Dyer Conjecture
A Cogenetic Proof of the Hodge Conjecture
A Cogenetic Proof of Yang–Mills Existence and the Mass Gap
A Cogenetic Proof of the Poincaré Conjecture
A Cogenetic Proof of Global Regularity for the Three-Dimensional Incompressible Navier–Stokes Equations
A Cogenetic Derivation of P versus NP
A Cogenetic Proof of the Riemann Hypothesis
A Cogenetic Proof of the Collatz Relation
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 →
Ontology
FoundationalReality 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.
Physics — Causal Cone Unification
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.
Mathematics — Process Calculus
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.
Applied — Project Cogenesis
In developmentReality 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.
Applied research
Cogenetic Intelligence
A new foundation for adaptive AI. Instead of representing intelligence as static parameters trained to predict tokens, incoming data becomes millions of evolving relational clocks — each measuring how one change unfolds relative to another.
Those clocks form a continuously evolving tensor. Stable relations become usable knowledge; unresolved information remains explicit rather than being discarded. The result is intended to learn continuously from raw data, adapt after deployment, and operate across text, vision and other signals without separate modality-specific models.
The commercial thesis is straightforward: if this architecture scales, it reduces retraining, resists catastrophic forgetting, and delivers genuinely always-learning systems at lower lifecycle cost than today's train-then-freeze models.
No stack
The architecture requires no transformers, tokenisers, embeddings, backpropagation, PyTorch or CUDA. It is a native relational process that runs through ordinary CPU code or portable GPU compute such as WebGPU. There is no separate training stack and no frozen inference model: the same compact process receives data, evolves, remembers and produces output continuously — no framework lock-in, no NVIDIA-specific infrastructure.
- Portable deployment across commodity hardware.
- Drastically smaller software and dependency surface.
- No conventional retraining pipeline.
- No train/inference split.
- No token-first modality constraint.
- No CUDA. No vendor lock-in.
Where it stands
The mathematical derivation is complete; the computational kernel is being built now. The next milestone is decisive: scale the clock system on GPU hardware and test it against GPT-2-class language benchmarks. Architectural independence is demonstrated; competitive capability and efficiency still need benchmarking.
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.
Agentic authorisation
Blackwall
Trusted-source agentic access. A registry and authorisation layer that binds every operating agent to a verified human, a live license, and revocation that propagates — so services can tell a legitimate agent from a disposable one in real time.
The problem is arithmetic: autonomous agents make spam, fraud, and abuse effectively free at unlimited scale, and no shared mechanism exists for a service to check who stands behind an agent before letting it act. Blackwall supplies that mechanism as two layers. The registry is the substrate — cryptographically verifiable registration, licensing, ownership, and revocation state that any integrated service can query. The policy gate sits on top — organisations validating agents against their own rules, with the registry answering the only question a local policy cannot: is this agent legitimately operated, and by whom.
The design assumes agents belong in the economy. Access is earned by accountability — a verified operator, a paid license per operating agent, status any service can resolve fast enough for user-facing flows — and lost the moment revocation lands.
Where it stands
A complete v1.0 specification and a working prototype service exist: registration, license mint and revocation, single and batch validation, idempotent writes, per-tier quotas — with a passing test suite behind it. The registry rides the same identity, billing, and infrastructure rails Hivemind runs on today. Under active design; not yet offered.
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 primitives. 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 hold multiple perspectives, any single one you do will carry the bias of 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 in Aeternum.
Operating principles
- Nothing is sacred. Nothing foundational is beyond scrutiny. Issues arise from poorly derived ontology, not from the apparent complexity of the problem.
- Everything changes. Inability to adapt is the fastest way to become obsolete. We build for the future, not the present.
- 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.
- Belief is not required. Results stand on their own or they don't stand at all. Belief is not required to be correct.
Positions
There are no paradoxes — only contradictions and category errors held by differing perspectives on the same thing.
Intelligence scaling is structural, not speculative. The capability curve is a property of the substrate.
Edge cases are the permanent human role. Automation absorbs the repetitive core; judgement migrates to the periphery, and the periphery never empties.
There is no observer behind the eyes. Consciousness is process under continual refinement — no homunculus, no qualia, just coherence maintaining itself.
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.