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GBE — Generative Being Externalized

A trilogy in three papers, one runnable cognitive instrument, and four frozen experiment tracks.

The public entry point is deliberately small: no model weights, no training pipeline, and no domain labels inside the instrument. The quickstarts below run with Python stdlib only.


Start in 5 Minutes

git clone https://github.com/JackeyLGene/GBE.git
cd GBE

python docs\quickstart_geruon.py
python docs\quickstart_ee_self.py

Expected first checks:

  • quickstart_geruon.py runs a solo Geruon and prints tau, F, wit_rate, and arrow norm.
  • quickstart_ee_self.py runs a 3-cavity Self and prints a cross-harm time series.
  • No pip install is required for these two scripts. They are tested with Python 3.8+.

After the quickstarts, read the manuals in order:

# File Purpose
1 docs/GERUON_MANUAL.md Instrument API, Faraday readings, calibration vocabulary, and minimal usage
2 docs/EE_MANUAL.md Self / We / Codex assembly and the four experiment architectures
3 docs/experiment-passive-calibration-report.md Passive instrument calibration and frozen readout policy

Demos

Two demo videos generated from the same instrument. Each script also runs locally in under a minute.

1. Sine Boundary Detection — 3-Cavity Self

demo_self_sine.mp4

A synthetic stream with three known structural boundaries. A 3-cavity Self processes the stream blind — cross-harm peaks at all three boundary positions. The video explains what cross-harm and τ measure, and why they are orthogonal readings.

· Run locally

2. Bach C Major Prelude — Solo Geruon

demo_geruon_bach.mp4

Bach's BWV 846 as 12-dim chroma. A solo Geruon with zero music theory — F responds to harmonic density, wit density tracks structural novelty across four sections, and their divergence shows the two readings are orthogonal. Piano audio synthesized from MIDI.

· Run locally

To regenerate both videos:

python demo\make_video.py

Requires matplotlib, numpy, soundfile, and ffmpeg.

3. Shepard Paradox — Structural Negative Result

experiments/shepard/_shepard.py · interpretation

The Shepard tone is an auditory illusion of endless ascent. It simultaneously contains a chroma circle (closed) and a height drift (open) — a structural contradiction. A solo Geruon does NOT detect this as a paradox: it locks onto the strong chroma periodicity and barely registers the height drift. A 3-cavity Self confirms the null result. This is an honest negative: the instrument is immune to perceptual illusions that lack physical structure. Good for understanding what the instrument can and cannot see.


What This Is

GBE is a centroid detector with memory pressure.

The instrument repeatedly applies two operations:

  • merge similar frames
  • prune frames that are not reinforced

Under finite memory, those operations converge streams into structural centroids. Multiple Geruon cavities coupled through shared fields produce cross-harm: a scalar readout of structural divergence across time lenses. Centroids that survive the cycle can be externalized into a Codex, outlasting the cavity that produced them.

The same core instrument is used across four domains:

Domain Experiment role Core reported result
UN diplomatic voting Civilizational structure / forward prediction 2025 displacement rank 1/79; falsifiable 2026-2028 trajectory
Bach WTC Externalized cognition and Codex convergence Transposition equivariance 100%; five-stage Codex loop
DNA alignments Evolutionary archive readability Exon/intron d≈-0.97; AHSG fork-column d=+1.51
RNA transcripts Molecular operation boundary Blind CDS stop boundary 98-100% within three windows; start boundary weaker but positive

The Trilogy

Paper Role Main object
I: GEME Static self-reference Shannon-Gödel bridge
II: BGM Time enters the bridge Temporal decoupling and differentiation
III: EE Externalized cognition Geruon / Self / We / Codex and four-domain evidence

Repository Map

GBE/
├── docs/
│   ├── quickstart_geruon.py
│   ├── quickstart_ee_self.py
│   ├── GERUON_MANUAL.md
│   ├── EE_MANUAL.md
│   ├── experiment-passive-calibration-report.md
│   └── experiment-shepard-paradox.md
├── demo/
│   ├── demo_self_sine.mp4          # sine boundary detection (3-cavity Self)
│   ├── demo_geruon_bach.mp4        # Bach prelude (solo Geruon, with audio)
│   ├── demo_self_sine.py           # text-mode demo (runnable)
│   ├── demo_geruon_bach.py         # text-mode demo (runnable)
│   ├── make_video.py               # regenerates both MP4s
│   └── bwv846.mid                  # Bach C major prelude
├── code/
│   ├── geme.py
│   ├── geruon.py
│   ├── we_core.py
│   ├── bgm_core.py
│   ├── bgm_bacteria.py
│   ├── midi_encoder.py
│   └── _calibrate_*.py
├── experiments/
│   ├── un/
│   ├── wtc/
│   ├── dna/
│   ├── rna/
│   └── shepard/
└── paper/
    ├── gEME.pdf
    ├── bGM.pdf
    ├── ee.pdf
    └── ee_supplement.pdf

Reproducibility Notes

  • The two quickstarts are zero-dependency checks for the public instrument.
  • The demo/ and experiments/shepard/ scripts are small runnable bridge examples.
  • The frozen experiment scripts are included under experiments/.
  • Large raw datasets are not committed; data sources and expected inputs are documented in each experiment track.
  • Domain experiments may require packages such as numpy, pandas, pyarrow, or pybigtools, depending on the script.

The fastest review path is: run both quickstarts, skim the Geruon manual, then inspect one experiment track.

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