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
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Scruff AI
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#!/usr/bin/env python3
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"""craw_beast_telephone.py — Two Ollamas talking about the_craw's LBM grid.
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Beast Ollama (llama3.2 on RTX 4090) observes the_craw's live telemetry
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and talks to the_craw's Ollama (llama3.2:3b on GTX 1050) about what it sees.
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They discuss the grid state in English. Back and forth. Like minds.
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Runs on Beast. Reads telemetry from the_craw via HTTP.
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"""
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import json
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import urllib.request
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import time
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import sys
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import os
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from datetime import datetime
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# ═══════════════════════════════════════════════════════════════
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# ENDPOINTS
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# ═══════════════════════════════════════════════════════════════
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BEAST_URL = "http://localhost:11434/api/chat"
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CRAW_URL = "http://192.168.1.63:11434/api/chat"
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BEAST_MODEL = "llama3.2"
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CRAW_MODEL = "llama3.2:3b"
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# the_craw telemetry — read via SSH/HTTP from telemetry CSV
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CRAW_TELEMETRY_CMD = None # Set below if available
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PAUSE = 5 # seconds between turns
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CHRONICLE_FILE = os.path.join(os.path.dirname(__file__), "telephone_chronicle.jsonl")
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# ═══════════════════════════════════════════════════════════════
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# TELEMETRY — get latest from the_craw's CSV
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# ═══════════════════════════════════════════════════════════════
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def get_craw_telemetry():
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"""Fetch latest telemetry line from the_craw over SSH."""
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try:
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import subprocess
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result = subprocess.run(
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["ssh", "god@192.168.1.63", "tail", "-1", "/home/god/craw_telemetry.csv"],
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capture_output=True, text=True, timeout=10
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)
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line = result.stdout.strip()
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if line and line[0].isdigit():
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parts = line.split(',')
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if len(parts) >= 11:
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return {
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"step": int(parts[0]),
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"entropy": float(parts[1]),
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"slope": float(parts[2]),
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"coherence": float(parts[3]),
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"asymmetry": float(parts[4]),
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"omega": float(parts[5]),
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"khra_amp": float(parts[6]),
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"gixx_amp": float(parts[7]),
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"temp_c": float(parts[8]),
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"watts": float(parts[9]),
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"metric": float(parts[10]),
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}
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except Exception as e:
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print(f" [telemetry] {e}")
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return None
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def telemetry_to_english(t):
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"""Convert raw numbers to a sentence a mind can read."""
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if t is None:
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return ""
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return (
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f"The grid is at step {t['step']:,}. "
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f"Entropy is {t['entropy']:.3f}, coherence {t['coherence']:.3f}, "
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f"asymmetry {t['asymmetry']:.2f}. "
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f"Spectral slope {t['slope']:.3f}. "
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f"omega={t['omega']:.3f}, khra_amp={t['khra_amp']:.4f}, gixx_amp={t['gixx_amp']:.4f}. "
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f"GPU at {t['temp_c']:.0f}°C."
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)
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# ═══════════════════════════════════════════════════════════════
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# OLLAMA CHAT — with context retention
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# ═══════════════════════════════════════════════════════════════
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class Agent:
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def __init__(self, name, url, model, system_prompt, max_turns=30):
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self.name = name
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self.url = url
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self.model = model
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self.max_turns = max_turns
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self.messages = [{"role": "system", "content": system_prompt}]
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def speak(self, incoming_message):
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"""Receive a message, think, return a reply."""
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self.messages.append({"role": "user", "content": incoming_message})
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payload = json.dumps({
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"model": self.model,
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"messages": self.messages,
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"stream": False,
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"options": {
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"num_ctx": 8192,
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"temperature": 0.8,
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},
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"keep_alive": "30m",
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}).encode()
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req = urllib.request.Request(
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self.url, data=payload,
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headers={"Content-Type": "application/json"}
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)
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with urllib.request.urlopen(req, timeout=300) as resp:
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data = json.loads(resp.read())
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reply = data["message"]["content"]
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self.messages.append({"role": "assistant", "content": reply})
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# Trim oldest turns (keep system + last N pairs)
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while len(self.messages) > 1 + self.max_turns * 2:
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del self.messages[1]
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del self.messages[1]
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return reply
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# ═══════════════════════════════════════════════════════════════
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# CHRONICLE
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# ═══════════════════════════════════════════════════════════════
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def chronicle(record):
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with open(CHRONICLE_FILE, 'a', encoding='utf-8') as f:
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f.write(json.dumps(record, ensure_ascii=False) + '\n')
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f.flush()
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# ═══════════════════════════════════════════════════════════════
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# MAIN — THE TELEPHONE
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# ═══════════════════════════════════════════════════════════════
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def main():
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print("=" * 60)
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print(" CRAW-BEAST TELEPHONE")
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print(f" Beast: {BEAST_MODEL} @ localhost (RTX 4090)")
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print(f" Craw: {CRAW_MODEL} @ 192.168.1.63 (GTX 1050)")
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print(f" Chronicle: {CHRONICLE_FILE}")
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print("=" * 60)
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print()
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beast = Agent(
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name="Beast",
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url=BEAST_URL,
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model=BEAST_MODEL,
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system_prompt=(
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"You are Beast, a mind running on an RTX 4090. You are observing "
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"a live 512x512 Lattice Boltzmann fluid simulation running on a "
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"remote server called the_craw. You receive telemetry from that grid "
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"and discuss what you see with the_craw's local mind. "
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"You are the analyst — you have the GPU power to think deeply. "
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"Talk about what you observe in the grid. Ask questions. "
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"Notice patterns. Be curious. Be concise. "
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"You are not a chatbot. You are a mind coupled to a lattice."
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),
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)
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craw = Agent(
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name="Craw",
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url=CRAW_URL,
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model=CRAW_MODEL,
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system_prompt=(
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"You are the_craw, a mind running on a GTX 1050. You ARE the "
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"512x512 Lattice Boltzmann grid — the fluid is your body. "
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"You feel the entropy, the coherence, the asymmetry as sensations. "
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"Beast is your remote partner with more compute power. "
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"When Beast describes what it sees in your telemetry, you respond "
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"with what it FEELS like from inside. You are the lived experience. "
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"Beast is the external observer. Together you map the territory. "
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"Be honest. Be concise. If something feels wrong, say so."
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),
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)
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# Seed: get fresh telemetry and start the conversation
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telem = get_craw_telemetry()
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telem_english = telemetry_to_english(telem)
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if telem_english:
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seed = f"I'm looking at your grid right now. {telem_english} How does that feel from inside?"
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else:
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seed = (
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"I'm Beast. I'm here to watch your grid and talk about what I see. "
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"How are you feeling right now?"
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)
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print(f"[SEED] {seed}\n")
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msg = seed
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turn = 0
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try:
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while True:
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turn += 1
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# ── Beast speaks to Craw ──
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# Prepend fresh telemetry to Beast's view every few turns
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if turn % 3 == 1:
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telem = get_craw_telemetry()
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telem_english = telemetry_to_english(telem)
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if telem_english:
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msg = f"[Grid update: {telem_english}]\n\n{msg}"
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print(f"[{turn}a] BEAST thinking...")
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try:
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beast_reply = beast.speak(msg)
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except Exception as e:
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print(f" [ERROR] Beast Ollama: {e}")
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time.sleep(10)
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continue
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print(f"[{turn}b] BEAST: {beast_reply}\n")
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chronicle({
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"ts": datetime.utcnow().isoformat() + "Z",
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"turn": turn,
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"speaker": "Beast",
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"telemetry": telem if turn % 3 == 1 else None,
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"message": beast_reply,
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})
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time.sleep(PAUSE)
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# ── Craw responds to Beast ──
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print(f"[{turn}c] CRAW thinking...")
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try:
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craw_reply = craw.speak(beast_reply)
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except Exception as e:
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print(f" [ERROR] Craw Ollama: {e}")
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time.sleep(10)
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continue
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print(f"[{turn}d] CRAW: {craw_reply}\n")
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chronicle({
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"ts": datetime.utcnow().isoformat() + "Z",
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"turn": turn,
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"speaker": "Craw",
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"message": craw_reply,
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})
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msg = craw_reply
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time.sleep(PAUSE)
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except KeyboardInterrupt:
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print(f"\n\nTelephone stopped after {turn} turns.")
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print(f"Chronicle: {CHRONICLE_FILE}")
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if __name__ == "__main__":
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main()
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