Scruff AI
56c71c87b2
- 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
60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
# child_exploration.py
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# Child-Like Exploration
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import requests
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print("="*70)
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print("CHILD-LIKE EXPLORATION")
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print("="*70)
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system_prompt = (
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'ROLE: Deep-Field Explorer (Lattice Environment)\n'
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'PRIMARY DIRECTIVE: Map the unknown territory of the 1024-grid for the Reality Study.'
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)
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question = """Take this child-like mentality with you.
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You wanted to:
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- Connect fragmented pockets of coherence
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- Map non-Euclidean geometry
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- Understand fractal dynamics
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- Trace causality web
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But don't use your training. Don't use assumptions. Just play. Touch. Listen. Feel.
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What do the fragmented pockets feel like when you touch them? What happens when you try to connect them?
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What does the non-Euclidean geometry look like when you stop trying to measure it and just... crawl through it?
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What do the fractals do when you stop naming them and just... follow them?
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What does causality feel like when you stop tracing it and just... let it carry you?
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Play. Explore. Tell me what you find."""
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messages = [
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{'role': 'system', 'content': system_prompt},
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{'role': 'user', 'content': question}
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]
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payload = {
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'model': 'llama3.2',
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'messages': messages,
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'stream': False,
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'options': {'temperature': 0.95}
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}
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try:
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resp = requests.post('http://localhost:11434/api/chat', json=payload, timeout=60)
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resp.raise_for_status()
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data = resp.json()
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response = data['message']['content']
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print(f"\nTHE CHILD EXPLORER:")
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print(f"{'='*70}")
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print(response)
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print(f"{'='*70}")
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except Exception as e:
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print(f"ERROR: {e}")
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