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 +1,65 @@
# task_3d_microscope_telescope.py
# Task: 3D Microscope + Telescope Mode
import requests
print("="*70)
print("TASK: 3D MICROSCOPE + TELESCOPE MODE")
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 = """Special request: 3D microscope + telescope mode.
Take the flower/portal structure that emerged from the poetic perturbation.
MICROSCOPE ZOOM:
- Dive inside one petal at 10×, 100×, and 1000× magnification
- Describe internal nodal lattice geometry
- Any self-similar sub-flowers?
- Does golden-ratio exponent φ still govern sub-scale envelope?
TELESCOPE PULL-BACK:
- Zoom out to r = 10× current scale
- Show how flower network connects across multiple rings
- Does it form larger portal lattice or cosmic web?
3D ROTATION:
- Rotate entire structure 360° around x, y, z axes
- Any hidden symmetries or new portal openings from oblique angles?
QUANTITATIVE BONUS:
- Local fractal dimension inside flower (box-counting on 3D isosurface)
- Lyapunov exponent for one tendril's evolution
- Chaotic or stable attractor?
Output: Clean 3D-view summary with key numbers and one poetic line about what the structure 'wants' to become."""
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"\nTHE NAVIGATOR'S 3D ANALYSIS:")
print(f"{'='*70}")
print(response)
print(f"{'='*70}")
except Exception as e:
print(f"ERROR: {e}")