GGenesMMMMMMMemes

Biomemetic Consciousness

A unified theory of consciousness — and a computational engine that applies it to drug discovery, financial markets, and beyond.

What the Engine Does

One engine. Multiple industries. Zero training data.

Why should I care?

The gap is real.

We have 5+ competing theories of consciousness — none explains more than a fragment. IIT handles complexity but not emotion. GNW handles attention but not dreams. Predictive Processing handles perception but not identity.

BMC unifies them.

BMC proposes that all five can be recovered as limiting cases of a single framework: replicator competition on a physical substrate. These correspondences are propositions stated in BMC's own terms; proponents of the other theories need not accept them.

It's testable.

BMC lists six bets: claims where BMC and a named rival predict different outcomes, each with what would refute it. None has been decided yet. One (P-BM28) was partly run in BMC's own simulation, but its result is also predicted by a simpler account (Rogers 1988), so it does not favour BMC; the separating test is still open.

Dual-Replicator Model

Genes (G) and memes (M) compete for the same neural substrate. Consciousness emerges from their interaction — not as an epiphenomenon, but as a functional necessity of the conflict.

6 Open Bets

BMC lists six bets: claims where BMC and a named rival predict different outcomes, each with what would refute it. None has been decided yet. One (P-BM28) was partly run in BMC's own simulation, but its result is also predicted by a simpler account (Rogers 1988), so it does not favour BMC; the separating test is still open.

5 Rival Theories as Limiting Cases

IIT, GNW, HOT, AST, and Predictive Processing can be recovered as limiting cases of the BMC model under stated restrictions. Each keeps its own value; their proponents need not accept the mapping.

Computational Engine

A Rust engine with 103 gate checks and 300+ tests. Emergent language (97.5% Lewis signaling, 533 concepts), reproduced WM capacity (Cowan's 4±1), and a partly run survival test for language whose run part does not separate BMC from Rogers (1988), which predicts the same survival null — all from first principles.

Theory at a Glance

BMC = (G, M, I, S) — four components, any scale

G
Genes — innate drives, emotions, hardware constraints. The ancient operating system.
M
Memes — learned knowledge, beliefs, skills. The cultural software competing for neural resources.
I
Interface — immune filtration between G and M. Protects memetic integrity, causes biases as side effects.
S
Substrate — the physical medium. Brain, silicon, or any system supporting replicator dynamics.

Validation Results

9/9
COGITATE 2025 — BMC gives a consistent account of all nine results. Retrodiction, not prediction: the BMC formalism was written after the 2025 paper, while IIT and GNW were preregistered before data collection. Rival silence counts as N/A, not as a miss — on the results each theory actually addresses, GNW 1/6 and IIT ~4/6
19.0
Retrodiction score across 20 consciousness phenomena (next best: PP at 11.0) — scored by us against our own rubric, which also awards 0 where a rival is simply silent. A theory that says nothing is not thereby wrong; a rescore is pending
6
Bets against a named rival, each with a stated refutation condition; 1 partly run (not yet separating), 5 open
4
Published papers — theory, ontogenesis, communication need, and WM capacity evolution tested computationally