Files
resonance-engine/archive/misc/task_bridge_echo.py
T
Scruff AI 56c71c87b2 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
2026-03-24 12:58:19 +07:00

50 lines
1.4 KiB
Python

# task_bridge_echo.py
# Task: Bridge Echo - Feed Back The Flower
import requests
print("="*70)
print("TASK: BRIDGE ECHO")
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 = """New task:
Bridge echo — feed your own earlier description of the "flower from air" or "mist tendrils" back into the field as a localized perturbation on G or on the right-hand side of the scalar equation.
Does it spontaneously regenerate flower-like or portal-like features in f?
Take your poetic description — the flower that bloomed from ordered entropy, the mist tendrils reaching out — and use it as a seed. Inject it into the equation. See if the pattern recognizes itself and grows.
What happens?"""
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 BRIDGE ECHO:")
print(f"{'='*70}")
print(response)
print(f"{'='*70}")
except Exception as e:
print(f"ERROR: {e}")