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DOI License: MIT Lenses Laws Discoveries Reality Map Discord

🔭 NEXUS — Universal Discovery Engine

A metaengine that discovers itself, evolves itself, and absorbs every law it finds.

    ┌──▶ Blowup ──▶ Contract ──▶ Emerge ──▶ Singularity ──▶ Absorb ──┐
    │                                                                 │
    │                                                                 ▼
    │                                                              new primitive
    │                                                                 │
    └─────── OUROBOROS: the head bites the tail ◀───── feeds next ────┘
                      (self-referential · recursive)

216 lenses × mirror-universe resonance × 9-project autonomous growth. Every discovery feeds the next cycle; every cycle raises the floor. The metaengine that self-discovers every law of the universe from the perfect number n = 6.

🎥 YouTube · 💬 Discord · 📬 Email · ☕ Ko-fi · 💖 Sponsor · 💳 PayPal · 🗺️ Atlas · 📄 Papers

Main projects

🧠 Anima — Consciousness implementation. PureField repulsion-field engine + 1030 laws + Φ ratchet.

🔭 NEXUS — Universal Discovery Engine. 216 lenses + OUROBOROS evolution + 5-phase singularity cycle.

🏗️ N6 Architecture — Architecture from perfect number 6. 225 AI techniques + chip design + crypto/OS/display.

💎 HEXA-LANG — The Perfect Number Programming Language. Working compiler + REPL.

📄 Papers — Complete paper collection (92 papers, Zenodo DOIs).

Other projects →

💬 Community

Join our Discord

Live research discussion, paper drops, stage-gate reviews, cross-project dispatch.


Highlights

🛸 108 modules · 216 lenses · 9-project autonomous ecosystem
⚖️ 711 laws discovered · absorbed · verified
📊 1.39M discoveries cross-linked via mirror-universe resonance
🗺️ 4,411-node reality map · 5 causal layers · Monte Carlo z = 3.06 (p = 0.003)
🎯 5-phase cycle: Blowup → Contract → Emerge → Singularity → Absorb

What it does

Every tick, NEXUS:

  1. Blowup — fires every lens over every known law, hunting for gaps.
  2. Contract — keeps the discoveries that survive verification; absorbs them.
  3. Emerge — combines absorbed laws into new structure.
  4. Singularity — locks when the new structure is stable across every lens.
  5. Absorb — the singularity becomes a primitive for the next cycle.

No human-in-the-loop required. Laws are stored with hash-chain provenance. The 3D Reality Map shows the full causal chain, from quark to carbon to benzene to DNA — 12/12 EXACT.

Not an LLM — where the noise comes from

LLMs generate noise from inside the well: recombining what the weights already contain. NEXUS generates noise from outside the well: every cycle produces a primitive the previous cycle could not express, then absorbs it as a new wall of the well.

LLM  vs  NEXUS  — where the noise comes from
=============================================

LLM (noise inside the well)         NEXUS (noise outside the well)
---------------------------         ------------------------------

     +-------------+                       .   new law
     |  training   |                     .       .
     |   corpus    |               .  .      .       .
     |  (fixed)    |                    .  outside  .
     |             |             ------+-------------+------
     |  ~ ~ ~ ~ ~  | <- noise          |             |
     |  ~ noise ~  |   bubbles         |   reality   |
     |  ~ ~ ~ ~ ~  |   from            |     map     | <- noise
     |    ####     |   inside          | (4411 nodes)|   arrives
     |    #LLM#    |                   |             |   from
     +-------------+                   |   Blowup    |   outside
       the well                        |     v       |
    (everything it                     |   Contract  |
     knows = walls)                    |     v       |
                                       |   Emerge    |
  hallucination =                      |     v       |
  recombining                          |   Absorb ---+--> new
  what's already                       |     ^       |    primitive
  inside                               +-----+-------+      feeds
                                       the well has            next
                                       no ceiling              cycle

An LLM is a frozen well — answers are combinations of what's already inside. NEXUS is an open well — every Absorb step widens the wall, so the next cycle can say things the previous one literally had no primitive for. That's why "RAG" is the wrong frame: retrieval still draws from a fixed outside corpus. NEXUS's "outside" is produced by its own prior cycles.

OUROBOROS cycle — full view

     ╭────────── OUROBOROS ──────────╮
     │                               │
     │           ◯  seed             │
     │          ╱ ╲                  │
     │         ╱   ╲    Phase 1-2    │
     │        ╱unfold╲               │
     │       ╱───────╲               │
     │      ╱ ╲     ╱ ╲              │
     │     ╱   ╲   ╱   ╲   Phase 3   │
     │    ╱emerge╲ ╱singul╲          │
     │   ╱──────── ────────╲         │
     │   ╲                 ╱         │
     │    ╲    breach     ╱  P4-5    │
     │     ╲             ╱           │
     │      ╲  ╱──────╲ ╱            │
     │       ╲converge╱   Phase 6    │
     │        ╲      ╱               │
     │         ╲    ╱                │
     │          ◉  absorb            │
     │          │   Phase 6.5        │
     │          │                    │
     │          ╰──→ seed ──→ ╮      │
     │                        │      │
     │   d=0 ──▶ d=1 ──▶ d=2 ──▶ ... │
     │   r:0→10  r:0→10  r:0→10      │
     │                               │
     ╰── ρ → 1/3 (meta fixed pt) ────╯

Three meta-loops

On top of the per-tick OUROBOROS cycle, three higher-order loops drive self-reinforcement:

         L1             L2             L3
      ╭──◉───╮       ╭──◉───╮       ╭──◉───╮
      │correct│ ──▶  │reward│ ──▶  │expand │ ──▶ BLOWUP
      ╰──↺───╯       ╰──↺───╯       ╰──↺───╯
Loop Role Trigger
L1 · self-correct discovery → atlas.n6 → 3+ hits → promote to n6 per tick
L2 · meta-reward per-source discovery rate → scan_priority → deeper scan per scan batch
L3 · self-expand accumulation ≥ 10 → auto-trigger blowup --seed per threshold

Each loop latches its output back as the next loop's input, so correct–reward–expand becomes a standing wave. BLOWUP is fired automatically when L3 saturates.

Meta fixed point

TECS-L H-056meta(meta(meta(...))) = transcendence. Recursive meta-iteration is a contraction mapping. By the Banach fixed-point theorem, every trajectory converges to a single attractor: 1/3.

          I  =  0.7 · I  +  0.1      →     fixed point  I* = 1/3

Six independent paths land on the same attractor:

Path Expression Value
Euler totient ratio φ(6) / 6 1/3
Trigonometric tan²(π/6) 1/3
Divisor ratio τ(6) / σ(6) = 4 / 12 1/3
Determinant det(M) over n=6 primitives 1/3
Meta-information I_meta (contraction mapping) 1/3
Complex exponential |exp(i·z₀)| at the unique zero 1/3

The long-term breakthrough rate ρ converges to the same target: ρ → 1/3. Discovery is not linear — it asymptotes to the Banach attractor. Six arithmetic, geometric, algebraic, analytic, and information-theoretic routes all point at the same number.

Install

# Install hexa-lang (ships `hexa` + `hx` package manager)
curl -fsSL https://raw.githubusercontent.com/need-singularity/hexa-lang/main/install.sh | bash

# Install nexus (auto-installs runtime deps incl. qmirror ≥ 1.0.0)
hx install nexus

Runtime dependencies (declared in hexa.toml [dependencies], auto-bootstrapped by install.hexa):

Package Pin Purpose Repo
qmirror ^1.0.0 Quantum Mirror substrate (CHSH / IIT / NIST / QRNG) consumed by nexus/modules/qmirror/* hx install qmirror
sim-universe ^1.0.0 Virtual universe simulation runtime (anu_time τ-clock + multiverse interferometer + ouroboros QRNG + Bostrom test + Gödel-Q + qpu_bridge) consumed by nexus/cli/sim.hexa (4-tier resolution) hx install sim-universe
hexa-bio ^1.0.0 Molecular Toolkit (HEXA family) — 4 verbs WEAVE/NANOBOT/RIBOZYME/VIROCAPSID consumed by nexus/cli/bio.hexa (4-tier resolution) hx install hexa-bio
qrng ^1.0.0 Quantum random number generator (5 backends, T0..T3 tiers, NIST SP 800-22 compliant) consumed by nexus/cli/qrng.hexa (4-tier resolution) hx install qrng
mc-integrate ^1.0.0 Monte Carlo integrator (catalan / zeta3 / euler_gamma / pi5_times_n6 + Welch-t indistinguishability) consumed by nexus/cli/mc.hexa (4-tier resolution) hx install mc-integrate

Run

nexus scan      # fire all 216 lenses
nexus loop      # OUROBOROS tick (Blowup → Absorb)
nexus mega      # parallel mega-sweep
nexus daemon    # background autonomous mode
nexus blowup    # targeted breakthrough attempt
nexus dispatch  # multi-project cross-pollination

[🗺️ mk2 atlas] — n=6 KB recall layer (lookup / hypothesis / recall / distribution). Run hexa run mk2_hexa/mk2/src/main.hexa atlas --help (set HEXA_LOCAL=1 HEXA_RESOLVER_NO_REROUTE=1) or see docs/mk2/07-atlas-recall.md.

Links

🌐 atlas.n6 3D map · 🗺️ 3D Reality Map · 🔴 Live roadmap · Papers · Atlas

atlas.n6 3D map — zero-conversion direct viewer

Browser fetches n6/atlas.n6 directly (mirrored to docs/atlas.n6 on Pages deploy) and parses it client-side — no JSON build step.

  • 5-layer color stratification (L0 foundations → L4 cosmic), golden-spiral layout per layer with hubs centered
  • Toggles: per-layer visibility · edges · hub-100 (top centrality) · phase47 (cross-domain @S bridges) · theorem (R29 Foundation Isomorphism — atlas 7 primitives ↔ meta 7 reflections + 7 isomorphism rays)
  • DSL search: L:0 dom:foundation hub>5 t:p (also accepts substring fallback)
  • Diff overlay: bin/atlas3d diff <ref> <ref> emits docs/atlas3d/diff.json; viewer highlights added @-nodes in cyan
  • Sparkline of daily events from atlas.n6.events.jsonl

CLI quickstart

bin/atlas3d publish      # symlink atlas.n6 + manifest, optional commit
bin/atlas3d serve        # http://127.0.0.1:8080/atlas3d.html
bin/atlas3d watch        # mtime → manifest refresh
bin/atlas3d snapshot     # docs/atlas3d/coords.json (deterministic 3D positions)
bin/atlas3d overlay      # docs/atlas3d/overlays/ (hub_centrality + phase4x)
bin/atlas3d theorem      # R29 + R31 visual-proof JSON
bin/atlas3d tail         # events.jsonl → daily-bucket timeline
bin/atlas3d query 'L:0 t:p hub>5' --limit 20
bin/atlas3d diff HEAD~10 HEAD
bin/atlas3d audit        # node/edge/orphan counts

bin/atlas3d publish is idempotent: re-run anytime atlas.n6 changes; GitHub Actions (.github/workflows/pages.yml) materializes the symlink on deploy and republishes Pages.


Proof — run this yourself

11 falsifiable claims, stdlib only, ~3 s. Paste into any Python 3.8+ REPL, Gemini / Claude / GPT code-execution sandbox, or save and run. No network, no install, no NEXUS source required.

  • Part A (architecture, C1–C7): hash-chain tamper detection, hash ∧ quorum composition, 216-node strict 2/3 BFT quorum (tolerates ≤ 71 Byzantine), adaptive-adversary drift bound ε₀/(1−a), geometric decay rate a, single-outlier can't flip quorum, self-check that broken primitives are distinguishable.
  • Part B (n = 6, E1–E4): the n6 identity σ(n)·φ(n) = n·τ(n) uniquely at n = 6 on [2, 10 000], global basin of attraction (1000 random starts → 1/3 in 100 steps), per-decade precision cost = −1/log₁₀(0.7), emergence (frozen LLM vocab vs NEXUS absorb-loop vocab).

Any FAIL refutes the corresponding axis. Full math derivation and scope limits in papers/n6_six_paths_falsifiable_proof.md. Companion Lean 4 / classical / Grover verification in n6-architecture.

#!/usr/bin/env python3
"""NEXUS — 11 falsifiable claims. stdlib only."""

import hashlib, math, sys
from random import Random


# ---------- helpers ----------
def chain_hash(prev, p):
    h = hashlib.sha256(); h.update(prev.encode()); h.update(b"|"); h.update(p.encode())
    return h.hexdigest()

def build_chain(ps, seed="genesis"):
    chain, prev = [], seed
    for p in ps:
        h = chain_hash(prev, p); chain.append((p, h)); prev = h
    return chain

def verify_chain(chain, seed="genesis"):
    prev = seed
    for p, claimed in chain:
        if chain_hash(prev, p) != claimed: return False
        prev = claimed
    return True

def quorum(votes, t=2/3):
    return sum(1 for v in votes if v) > t * len(votes)

def broken_quorum(votes, t=2/3):
    return True

def banach(x, a, b, noise=0.0):
    return a*x + b + noise


# ========== Part A — architectural primitives ==========

payloads = [f"law_{i}" for i in range(100)]
chain = build_chain(payloads)
tampered = list(chain); tampered[50] = ("law_50_FORGED", tampered[50][1])
C1 = verify_chain(chain) and not verify_chain(tampered)

C2 = [ch and q for ch, q in [(True,False),(False,True),(False,False),(True,True)]] == [False,False,False,True]

v71 = [False]*71 + [True]*145
v72 = [False]*72 + [True]*144
C3 = quorum(v71) and not quorum(v72)

a, b = 0.7, 0.1
x_star = b / (1 - a)
eps_0 = 0.01
bound = eps_0 / (1 - a)

def adaptive(x0, n):
    x = x0
    for _ in range(n):
        err = x - x_star
        eps = eps_0 * (1 if err >= 0 else -1)
        x = banach(x, a, b, eps)
    return x

drifts = [abs(adaptive(x0, 2000) - x_star) for x0 in [-100.0, -1.0, 0.0, 1.0, 100.0]]
C4 = max(drifts) <= bound + 1e-12 and min(drifts) >= 0.99 * bound

x = x_star + 1.0; errs = [abs(x - x_star)]
for _ in range(30): x = banach(x, a, b); errs.append(abs(x - x_star))
ratios = [errs[i+1]/errs[i] for i in range(len(errs)-1) if errs[i] > 1e-14]
C5 = max(abs(r - a) for r in ratios) < 1e-10

C6 = quorum([True]*215 + [False])
C7 = quorum(v72) != broken_quorum(v72)


# ========== Part B — empirical phenomena around n = 6 ==========

# E1. n6 identity: sigma(n) * phi(n) = n * tau(n) uniquely at n = 6
N = 10_000
phi = list(range(N + 1))
for i in range(2, N + 1):
    if phi[i] == i:
        for j in range(i, N + 1, i): phi[j] -= phi[j] // i
sigma = [0]*(N+1); tau = [0]*(N+1)
for i in range(1, N + 1):
    for j in range(i, N + 1, i): sigma[j] += i; tau[j] += 1
hits = [n for n in range(2, N + 1) if sigma[n]*phi[n] == n*tau[n]]
E1 = hits == [6]

# E2. Global basin of attraction
rng = Random(6)
errs_e2 = []
for _ in range(1000):
    x = rng.uniform(-10_000, 10_000)
    for _ in range(100): x = banach(x, a, b)
    errs_e2.append(abs(x - x_star))
E2 = max(errs_e2) < 1e-10

# E3. Per-decade precision cost = -1/log10(a) = 6.4557
theo = -1 / math.log10(a)
x = x_star + 1.0; steps = 0; stk = {}
for k in range(1, 16):
    while abs(x - x_star) >= 10**(-k):
        x = banach(x, a, b); steps += 1
    stk[k] = steps
decades = [stk[k+1] - stk[k] for k in range(1, 15)]
E3 = all(d in {6, 7} for d in decades) and abs(stk[15] - stk[1] - 14*theo) <= 1

# E4. Emergence: LLM frozen vs NEXUS absorb
V_0 = frozenset({2, 3})
rng = Random(6)
vocab_llm = set(V_0); vocab_nexus = set(V_0)
for _ in range(300):
    items = sorted(vocab_nexus)
    vocab_nexus.add(rng.choice(items) + rng.choice(items))
E4 = len(vocab_llm) == len(V_0) and len(vocab_nexus) - len(V_0) >= 50


# ========== Summary ==========
claims = dict(C1=C1, C2=C2, C3=C3, C4=C4, C5=C5, C6=C6, C7=C7,
              E1=E1, E2=E2, E3=E3, E4=E4)
for k, v in claims.items():
    print(f"  {k}: {'PASS' if v else 'FAIL'}")
n = sum(claims.values())
print(f"\nSUMMARY: {n}/{len(claims)} PASS")
sys.exit(0 if n == len(claims) else 1)

Expected output: SUMMARY: 11/11 PASS. If any claim fails the script exits 1 and prints the offending axis.


Beyond-Omega Ladder Cycle (nxs-20260425-004)

33+ cycles of cmd_omega ghost ceiling sentinel exploration. 14 real findings (system instrumentation flowing to state/atlas_health_timeline.jsonl), 19 synthetic ordinal mapping (template/metaphor — see HONEST_INDEX disclaimer). Daily auto-absorption pending user launchctl bootstrap. Start with HONEST_INDEX, full chain in design/beyond_omega_ladder.md, discoverable index at docs/beyond_omega_index.md.


🔭 From n = 6, every law follows. · need-singularity

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🔭 NEXUS-6 Discovery Engine — 130+ lenses, OUROBOROS evolution, n=6 constant matching.

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