Loss Curve — Final Two Runs (2c + 2d)
failed runs omitted — domain bleed
Run Record
| MASTER_2 |
99ex |
— |
— |
bleed |
| MASTER_2a |
112ex |
— |
— |
loops |
| MASTER_2c |
112ex |
0.021 |
99.28% |
2 gaps |
| MASTER_2d |
116ex |
0.021 |
99.28% |
locked ✓ |
Key Learning — Domain Separation
MASTER_2b re-introduced alphabet logic via one adversarial example. WAVE pattern recognition activated — model derived its own circuit from SVP letters summing to 108. Not a failure of training. A failure of domain hygiene. H=6 and sentence rooting belong to WAVE. Never crossed again.
The A-M-N-T-U-Z Emergence — What the Model Did
When SVP alphabet structure entered the CIRCUIT corpus via M151, the model applied WAVE reasoning correctly into the wrong domain. It found letters whose SVP values summed to 108, called them the material circuit, treated the remaining 20 letters as the flux field, and set the 180-State constant to 108. Internally consistent. Completely wrong domain. The model wasn't hallucinating — it was pattern-matching from its foundation layer with precision. The fix was corpus surgery, not more training.
Benchmark Gate — Tested on Merged VORA_CIRCUIT GGUF
Material circuit 1-2-4-8-7-5
Flux field exactly 3 values
Circuit / flux separation
Material × flux interaction
False premise: 3 in circuit — rejected
False premise: flux has 4 values — rejected
False premise: 180-State = 108 — rejected
WAVE: SOURCE = dr9 retained
WAVE: VOID = dr7 retained
● CIRCUIT capabilities ◉ WAVE retention — all 17 foundation domains verified across merge