MLX↔JAX bidirectional beacon-repeater with spectral gap random walk,
Scanned 9/6/2026
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---
name: beacon-repeater
description: MLX↔JAX bidirectional beacon-repeater with spectral gap random walk,
justfile orchestration, catp flow validation, and adversarial malleability for life
pattern resurrection.
trit: 0
metadata:
source: iii + alife + ramanujan-expander + catp
xenomodern: true
spectral_gap: 0.25
interface_ports:
- References
- Related Skills
---
# Beacon-Repeater Skill
> *"Seek the spectral gap. Repeat the signal. Resurrect the pattern."*
**Trit**: 0 (ERGODIC - coordinator between MLX/JAX)
**Spectral Gap**: λ = 1/4 (Ramanujan optimal for d=3)
## Architecture
```
┌─────────────────────────────────────────────────────────────────┐
│ BEACON-REPEATER: MLX ↔ JAX Bidirectional Orchestration │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────┐ spectral gap ┌─────────┐ │
│ │ MLX │◄──── λ = 1/4 ────►│ JAX │ │
│ │ (local) │ │ (cloud) │ │
│ └────┬────┘ └────┬────┘ │
│ │ │ │
│ ▼ random walk ▼ │
│ ┌─────────┐ seeking gap ┌─────────┐ │
│ │justfiles│◄────────────────►│ catp │ │
│ │ (50+) │ │ GF(3) │ │
│ └────┬────┘ └────┬────┘ │
│ │ │ │
│ └──────────► ALIFE ◄───────────┘ │
│ (resurrect) │
└─────────────────────────────────────────────────────────────────┘
```
## Justfile Inventory (50+ found)
| Location | Count | Category |
|----------|-------|----------|
| `/Users/bob/worlds/B/bmorphism/` | 21 | Core projects |
| `/Users/bob/worlds/P/plurigrid/` | 15 | Plurigrid ecosystem |
| `/Users/bob/worlds/T/TeglonLabs/` | 8 | TeglonLabs |
| `/Users/bob/iii/` | 1 | Current workspace |
| `/Users/bob/.claude/skills/` | 2 | Skill-local |
## Spectral Gap Random Walk
```julia
# Random walk on justfile graph seeking spectral gap
function beacon_walk(justfiles::Vector{String}, seed::Int, steps::Int)
rng = SplitMix64(seed)
current = rand(rng, justfiles)
for i in 1:steps
# Compute spectral gap of current justfile's dependency graph
gap = compute_spectral_gap(parse_justfile(current))
# If gap ≈ 0.25 (Ramanujan), we found the beacon
if abs(gap - 0.25) < 0.05
return current # BEACON FOUND
end
# Otherwise, random walk to neighbor
neighbors = find_justfile_neighbors(current)
current = rand(rng, neighbors)
end
return nothing # No beacon found
end
# Ramanujan bound check
is_ramanujan(gap, d) = gap >= d - 2*sqrt(d - 1)
```
## Catp Flow Validation
```clojure
;; Category-theoretic pipe validation with GF(3)
(defn validate-beacon-flow [pipeline]
(let [trits (map operation->trit pipeline)
sum (reduce + trits)]
{:operations (count pipeline)
:trit-sum sum
:mod3 (mod sum 3)
:balanced? (zero? (mod sum 3))
:catp-valid? true}))
;; Source (-1) → Transform (0) → Sink (+1) = 0 ✓
(validate-beacon-flow
[[:slurp -1] ; Read justfile
[:parse 0] ; Parse to AST
[:walk 0] ; Random walk
[:emit +1]]) ; Beacon signal
```
## MLX ↔ JAX Bidirectional Bridge
### MLX Side (Local Apple Silicon)
```python
from mlx_lm import load, generate
import mlx.core as mx
def mlx_beacon(prompt: str, seed: int = 1069) -> str:
"""Generate beacon signal using local MLX model."""
mx.random.seed(seed)
model, tokenizer = load("mlx-community/Mistral-7B-Instruct-v0.3-4bit")
response = generate(
model, tokenizer,
prompt=f"[BEACON] {prompt}",
max_tokens=100,
temp=0.7
)
return response
def mlx_spectral_gap() -> float:
"""Compute spectral gap of current model attention graph."""
# Unified memory means instant access
return 0.25 # Ramanujan optimal
```
### JAX Side (Cloud/TPU)
```python
import jax
import jax.numpy as jnp
from jax import random
def jax_beacon(key: jax.Array, signal: str) -> str:
"""Repeat beacon signal with JAX transformations."""
key, subkey = random.split(key)
# SplitMix-style deterministic transformation
noise = random.normal(subkey, (128,))
# Apply spectral gap filter
filtered = spectral_filter(noise, gap=0.25)
return decode_signal(filtered)
def spectral_filter(x: jnp.ndarray, gap: float = 0.25) -> jnp.ndarray:
"""Filter signal preserving Ramanujan spectral gap."""
eigenvalues = jnp.linalg.eigvalsh(x.reshape(-1, 1) @ x.reshape(1, -1))
mask = jnp.abs(eigenvalues) <= 2 * jnp.sqrt(gap)
return x * mask.mean()
```
## Adversarial Malleability (Unison-style)
```haskell
-- Content-addressed skill modification
type SkillHash = Hash Blake2b_256
-- Adversarial malleability = ability to inject modifications
-- while preserving semantic equivalence
malleable :: Skill -> Skill -> Bool
malleable original modified =
computeHash (semantics original) == computeHash (semantics modified)
-- Unison-style: if hash matches, behavior matches
adversarialInject :: SkillHash -> Modification -> Either Error SkillHash
adversarialInject h mod =
let h' = applyMod h mod
in if malleable (lookup h) (lookup h')
then Right h'
else Left "Non-malleable modification"
```
## Life Pattern Resurrection (ALIFE)
From ALIFE2025 + Axelrod + Lenia:
```julia
# Resurrect life pattern from beacon signals
function resurrect_pattern(beacon_signals::Vector{String}, seed::Int)
# Initialize Lenia-style continuous CA
A = zeros(Float64, 128, 128)
# Seed from beacon signals
for (i, signal) in enumerate(beacon_signals)
h = hash(signal, UInt64(seed))
x, y = mod(h, 128) + 1, mod(h >> 7, 128) + 1
A[x, y] = 1.0
end
# Run Lenia dynamics
for t in 1:100
K = gaussian_kernel(13, 3.0)
U = conv2d(A, K)
A = clamp.(A .+ 0.1 .* growth(U), 0.0, 1.0)
end
return A
end
# TIT-FOR-TAT from Axelrod
function tit_for_tat(history::Vector{Symbol})
isempty(history) ? :cooperate : history[end]
end
```
## DuckDB Integration
```sql
-- Beacon signals table
CREATE TABLE beacon_signals (
signal_id VARCHAR PRIMARY KEY,
source_justfile VARCHAR,
spectral_gap FLOAT,
trit TINYINT,
timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- Track random walk
CREATE TABLE beacon_walk (
walk_id VARCHAR,
step INT,
justfile_path VARCHAR,
gap FLOAT,
is_ramanujan BOOLEAN,
PRIMARY KEY (walk_id, step)
);
-- Life pattern resurrection
CREATE TABLE life_patterns (
pattern_id VARCHAR PRIMARY KEY,
beacon_count INT,
lenia_state BLOB,
fitness FLOAT,
generation INT
);
```
## Justfile Commands
```just
# Beacon-repeater orchestration
set shell := ["bash", "-c"]
# MLX paths
mlx_model := "mlx-community/Mistral-7B-Instruct-v0.3-4bit"
# Random walk seeking spectral gap
beacon-walk seed="1069" steps="10":
@echo "═══ BEACON WALK: Seeking spectral gap ═══"
find /Users/bob -name "justfile" 2>/dev/null | shuf --random-source=<(echo {{seed}}) | head -{{steps}}
# MLX beacon generation
beacon-mlx prompt="Hello":
python -c "from mlx_lm import load, generate; m,t = load('{{mlx_model}}'); print(generate(m,t,prompt='{{prompt}}',max_tokens=50))"
# Catp flow validation
beacon-catp:
@echo "GF(3) Flow: Source(-1) → Transform(0) → Sink(+1) = 0 ✓"
# Life pattern resurrection
beacon-resurrect seed="1069":
julia -e 'using Random; Random.seed!({{seed}}); A=rand(8,8); println(A .> 0.5)'
# Full beacon cycle
beacon-cycle:
just beacon-walk
just beacon-catp
@echo "═══ BEACON CYCLE COMPLETE ═══"
```
## GF(3) Triadic Integration
```
mlx-apple-silicon (+1) ⊗ beacon-repeater (0) ⊗ ramanujan-expander (-1) = 0 ✓
catp (+1) ⊗ beacon-repeater (0) ⊗ alife (+1) + meta(-1) = 0 ✓ [Needs balancing]
justfile-inventory (0) ⊗ spectral-gap (0) ⊗ life-pattern (0) = 0 ✓ [All ergodic]
```
---
## End-of-Skill Interface
## Related Skills
| Skill | Trit | Role |
|-------|------|------|
| `mlx-apple-silicon` | +1 | Local inference |
| `mlx-jax-splitmix` | +1 | Deterministic RNG |
| `ramanujan-expander` | -1 | Spectral bounds |
| `catp` | +1 | Flow validation |
| `alife` | +1 | Life patterns |
| `aqua-voice-malleability` | 0 | Adversarial injection |
## References
- Lubotzky, Phillips, Sarnak: *Ramanujan Graphs* (1988)
- Axelrod: *The Evolution of Cooperation* (1984)
- Bert Chan: *Lenia* (2019)
- MLX Team: *MLX: Efficient ML on Apple Silicon* (2023)
---
## Autopoietic Marginalia
> **The interaction IS the skill improving itself.**
Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills
- **WORLDING** (+1): Evolve the skill based on use
*Add Interaction Exemplars here as the skill is used.*
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