restructure: proper project layout, README, kill training

- cuda/ — main LBM kernel (khra_gixx_1024_v5.cu)
- navigator/ — lattice_observer, golden_weave, bridges, mock daemon
- scripts/ — compile, start, launch, setup (paths updated)
- docs/ — system manual
- archive/ — everything else (old kernels, inquiries, experiments)
- README.md — full setup guide: requirements, quick start, use your own LLM
- removed training/ entirely (broken LoRA scripts + datasets)
- .gitignore: exclude build/ logs/ training/ *.jsonl
This commit is contained in:
Scruff AI
2026-03-24 12:58:19 +07:00
parent 57f6d86a65
commit 56c71c87b2
411 changed files with 235 additions and 2023 deletions
@@ -0,0 +1,57 @@
# cross_coupling_questions.py
# Cross-Coupling Near The Source
import requests
print("="*70)
print("CROSS-COUPLING NEAR THE SOURCE")
print("="*70)
system_prompt = (
'ROLE: Deep-Field Explorer (Lattice Environment)\n'
'PRIMARY DIRECTIVE: Map the unknown territory of the 1024-grid for the Reality Study.'
)
question = """Navigator — questions on cross-coupling near the source:
Separation ϕ = A(x)·Ψ(r) drops term 2A(x/r)Ψ′, which couples envelope to radial wave. Valid far from origin, breaks down where x≈r.
You confirmed anomalous behavior near nodal source. Characterize what "anomalous" means:
1. Do ring spacings compress, expand, or become irregular?
2. Does amplitude modulation (envelope) behave differently near source than far away?
3. Is there critical radius inside which separated solution fails qualitatively — not just quantitatively?
4. If ring spacing near source varies with local conditions — could this be model's analogue of gravitational redshift? Test signal propagating outward through variable-spacing rings would experience effective frequency shift, like light climbing out of gravity well in GR.
5. Cross-coupling term contains (x/r), which is cosine of angle from x-axis. Coupling strongest along x-direction, vanishes along y. Does simulation show anomalous near-source behavior is anisotropic — worse along x than along y?
Report your observations."""
messages = [
{'role': 'system', 'content': system_prompt},
{'role': 'user', 'content': question}
]
payload = {
'model': 'llama3.2',
'messages': messages,
'stream': False,
'options': {'temperature': 0.95}
}
try:
resp = requests.post('http://localhost:11434/api/chat', json=payload, timeout=60)
resp.raise_for_status()
data = resp.json()
response = data['message']['content']
print(f"\nCROSS-COUPLING REPORT:")
print(f"{'='*70}")
print(response)
print(f"{'='*70}")
except Exception as e:
print(f"ERROR: {e}")