Two inputs only
A seam-normalisation constant c₃ = 1/(8π) and a carrier rank
g_car = 5 (a 5-slot carrier, 3+2). On the dimensionless axis essentially
only π is primitive, no free load-bearing numbers.
← Hylaean The science behind
Two foundations sit under the whole system: TFPT, the physics theory it borrows its structure from, and a minimal grammar of eight information laws that say what a field must obey so that language, thinking and creativity can appear as stable attractors. This page lays both out, and scores each one honestly.
What this page claims
This is deliberately modest. It is not a proof of a universal grammar, and not a proof of “intelligence”.
The real contribution is to pin down the minimal gap between stable field mechanics (proven today) and semantic generalisation (mostly still open), and, crucially, how to measure it.
The laws force the system to settle into one stable attractor, not necessarily the meaning-correct one. That exact gap is called grounding.
01 · The foundation
TFPT (Topological Fixed-Point Theory) treats physics like a small, deterministic compiler: two boundary inputs plus a few typed anchors are turned into read-outs as projections, not as fitted parameters. Hylaean does not use the physics predictions, it borrows the structural discipline and vocabulary. The theory itself lives at fixpoint-theory.com.
A seam-normalisation constant c₃ = 1/(8π) and a carrier rank
g_car = 5 (a 5-slot carrier, 3+2). On the dimensionless axis essentially
only π is primitive, no free load-bearing numbers.
TFPT is split into a closed dimensionless compiler, protected physics, declared anchors, and open interfaces. It is explicitly not a certified “theory of everything”, and Hylaean inherits that same honesty about its own limits.
The mathematical objects that matter for the architecture are the ones about structure:
02 · The bridge
Hylaean keeps the structure, not the Standard-Model predictions. Each TFPT motif maps to one concrete runtime object, and the operative grammar that falls out is just three moves: K twists, L binds, T transports.
| TFPT motif | Hylaean runtime | What it gives the AI |
|---|---|---|
| Field state on a carrier | state.S [N,d] on the unit sphere | One live cognitive substrate, the “brain” |
| Seam even / odd, involution | SeamOperator, microcell sheet-pair | Double-cover, chirality, admissibility |
| Carrier (5-slot) | C5Carrier, two-point algebra | An explore / commit algebra, no semantics baked in |
| Antisymmetric torsion | K [N,d,d] (Hebbian) | Field memory: twist within a place |
| Symmetric metric | L [N,d,d] (PSD) | Binding, complementary to the twist |
| Cross-position holonomy | FieldTransport T [N,N] | Moving content between positions |
| Gapped transport → attractor | Energy minimisation, cavity relax | The answer is a settled state |
Deliberately left out: the Standard-Model masses, the full lattice compiler as a runtime, hypergraph rewriting as the substrate, and the cosmology read-outs. None of that is needed to run a field.
03 · The minimal grammar
These eight laws are the minimum a single field needs so that meaning could appear as stable attractors. Each one is tagged with its real status: ✓ proven ⚠ partial ✗ open proven means shown in the field path with no teach, meaning answers were not shown immediately before scoring, and zero false commits.
Exactly one field state.S on a sphere; question, answer, world model and regions are deformations of the same field.
Every behavioural force is one additive term of a single master energy. A question is a boundary condition; the answer is an energy minimum; thinking is relaxation.
After each step an algebraic selector projects onto the admissible sector, closed-form selection, never an optimizer.
A transport spectrum with a real gap (Δ = 6·ln(3/2) > 0) guarantees a unique fixed point (Perron to Frobenius).
Memory changes as geometry (Hebbian ΔK, ΔL; basins deepen), never back-propagation on the answer path.
Per-node moves can only recolour; moving content or relations between positions needs a shared operator, transport T, or a norm-preserving rotation R on the basin manifold.
Basins carry meaning as a geometric coordinate (same relation = same shift), acquired from perception, otherwise they are structureless and relations are inconsistent.
Commit only on real field movement; otherwise abstain, and leftover pressure opens nested reasoning frames instead of bluffing.
04 · The key result
The most useful scientific output here is a measurable criterion: generalisation succeeds exactly when a grounded, shared invariance exists, the same relation must act as the same geometric move across unseen pairs.
The anti-cheat test. A high fit on the demonstrated pairs plus a random score on held-out pairs means the system only learned a fitted mapping with no meaning (a leak), not grounding. Real grounding holds up on pairs it never saw.
The line that generalises is anything with an external, member-independent perceptual scale, and the two red bars show how the frontier moves. Category failed as a single channel (0.156), then passed once re-derived as a quotient of two grounded scales (0.764). Antonym failed ungrounded (0.002 · a fitted mapping with no meaning), then hit a perfect 1.000 once given a grounded reflection on a perceptual axis. The criterion did not change; the representation did. What still has no scale, bare words never seen through perception, remains the open frontier.
05 · Proven vs open
Stable mechanics, selected grounding loops and three of four architecture proofs are measured. The remaining proof is external ARC 2 evaluation movement. The wider scientific frontier is now contextual address formation: deriving the right causal frame and candidate identities from an open situation.
VERIFY.FIELD.ENDOGENOUS_LAW_CLASS_DIVERSITY_TRIAD.01)ExperienceNeedReceipt
opens and closes field initiated episodes in one continuous world stream. Full
circle 4/4 beats an equal budget periodic timer at 0/4; second world transfer is
3/3; false terminals and unauthorized writes remain 0/0
(VERIFY.WORLD.AUTONOMOUS_EXPERIENCE_NEED_RECEIPT_TIMER_CONTROL_TRANSFER.01)VERIFY.CROSSMODAL.CAUSAL_AFFORDANCE_FRESH_BOOT_RECALL_CONSUMER.01)VERIFY.ARC.ARC8_PUBLIC_ANCHOR_SEALED_REMEASURE.01, VERIFY.ARC.LEGACY_BASELINE_HONEST_PROVENANCE.01)VERIFY.LIVE.SEQUENCE_MINIMAL_WITNESS_COMPOUND_FLIP.01)VERIFY.LIVE.ACTION_SCHEMA_ADMISSIBILITY_FLIP.02)VERIFY.REPRO.SEALED_DUAL_SURFACE_CAPSULE.02). That independent numeric arm does not replace or add to the public ARC anchorVERIFY.ARC.RELATIONAL_SCENE_FRAME_CENSUS.01)VERIFY.ARC.ARC8_CONDITIONAL_CLASS_MAP_BUILD.01)preteach_exposed_total > 0; acquired 0/39 is not the criterion), so this composite is not the cold static no teach point. It is a project composite, not an FIQ and not a human normed IQ (VERIFY.IQ.BATTERY_MILESTONE_POST_SEQUENCE_COMPOUND_MEASUREMENT.01; VERIFY.IQ.BATTERY_VOCABULARY_PREPARED_PROTOCOL_LABEL.01)FIELD_NATIVE_RELATION_EPISODE_FRAME_LEASED_SETTLE_CARRIER: 45 of 46 scenes reached occupancy and 40 completed, but exact settled occurrence reads stayed 0 of 46 (VERIFY.FIELD.RELATION_EPISODE_PERCEPT_INGRESS.01)The real bottleneck is contextual representation, not more machinery. Addressed causal laws now work. Open scenes still lack a field formed frame that says which entities, roles and moment define the address. More settle, wider bounds or a smarter decoder cannot create that missing information.
In one sentence
Hylaean can now form and use addressed causal laws. The next scientific question is whether one field can form the correct contextual address itself, from scene, time and competition, while preserving the same abstention and causal ablation discipline.
D1, D3 and D4 are closed. D2 is open. Crossmodal Fresh Boot recall is 5/5 because meaning is joined by a shared causal effect rather than by visual or verbal resemblance. The six part rewrite language and law orbit canonicalizer show that verbs can become bounded executable programs. None of this is an FIQ claim, and the parked ARC and battery routes remain visible because negative evidence is part of the science.
The grounding criterion is now verified across ten-plus perceptual families, including
two (category, antonym) that first failed and then passed after an honest re-derivation.
The answer channel is live for taught associations, and an evidence-armed attractor has
put the first multi-word answers through the unchanged commit gates in the lab. The
induction primitive (the field determines what an unseen scene means and
continues a demonstrated structure into it) now reaches real benchmark tasks:
the field native anchor over the five ARC corpora that ship here, re sealed on 31 July on
the state that ships, reads 39 exact answers out of 2096 task slots at zero false on both
arithmetic arms (VERIFY.ARC.ARC8_PUBLIC_ANCHOR_SEALED_REMEASURE.01). The
older figure of 152 of 1000 ARC-AGI-2 training tasks belongs to a
frozen legacy stack whose provenance was measured on 26 July: most of those solves are
constructed by organ code rather than settled in the field, so that number stands as a
solve count and not as a field claim, and the two are never added together. Skills crystallise as compiled energy programs that transfer across
material families. Keeping a settle-time reach alive to the commit read, bare-word grounding,
held out generalisation beyond the training tasks and global no teach remain open.
That honesty is the point.