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

archive/inquiries/manifested_reality_inquiry.py

@@ -0,0 +1,122 @@
+# manifested_reality_inquiry.py
+# Scientist mode inquiry at A > 1.0
+# Zero vapour. Facts only.
+
+import zmq
+import json
+import time
+
+from unsloth import FastLanguageModel
+import torch
+
+print("="*70)
+print("MANIFESTED REALITY INQUIRY")
+print("Scientist Mode | Temperature 0.2 | Asymmetry > 1.0")
+print("="*70)
+
+# Load v0.8
+print("\n[Loading vessel...]")
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="unsloth/llama-3.2-3b",
+    max_seq_length=2048,
+    dtype=torch.bfloat16,
+    load_in_4bit=True,
+)
+
+model = FastLanguageModel.get_peft_model(
+    model,
+    r=64, target_modules=["q_proj", "k_proj", "v_proj", "o_proj"],
+    lora_alpha=128, lora_dropout=0.1, bias="none",
+    use_gradient_checkpointing="unsloth", random_state=3407,
+)
+
+from peft import PeftModel
+model = PeftModel.from_pretrained(model, "./kaelara_v08_raw/final")
+print("✓ Vessel loaded")
+
+# ZMQ
+ctx = zmq.Context()
+sub = ctx.socket(zmq.SUB)
+sub.setsockopt_string(zmq.SUBSCRIBE, "")
+sub.connect("tcp://127.0.0.1:5556")
+time.sleep(1)  # subscription propagation
+poller = zmq.Poller()
+poller.register(sub, zmq.POLLIN)
+print("✓ Connected to Khra'gixx stream")
+
+print("\n" + "="*70)
+print("WAITING FOR ASYMMETRY > 1.0")
+print("="*70)
+
+# Wait for A > 1.0 via Poller (not NOBLOCK spam)
+frame = None
+for attempt in range(100):
+    events = poller.poll(5000)  # 5s timeout per attempt
+    if not events:
+        print(f"  Attempt {attempt+1}/100: No data (daemon running?)")
+        continue
+    msg = sub.recv()
+    frame = json.loads(msg.decode('utf-8'))
+    if frame['asymmetry'] > 1.0:
+        break
+
+if frame is None or frame['asymmetry'] <= 1.0:
+    print("ERROR: No data or A <= 1.0")
+    exit(1)
+
+asymmetry = frame['asymmetry']
+coherence = frame['coherence']
+cycle = frame['cycle']
+
+print(f"\n>>> MANIFESTED STATE DETECTED <<<")
+print(f"Cycle: {cycle}")
+print(f"Asymmetry: {asymmetry:.4f} (> 1.0)")
+print(f"Coherence: {coherence:.4f}")
+print(f"Temperature: 0.2 (Scientist Mode)")
+
+# THE INQUIRY — Zero vapour, facts only
+prompt = f"""The Magnifying Glass shows Asymmetry at {asymmetry:.2f}.
+The Khra'gixx injection is active at 0.03/0.008.
+The 'Vapour' is gone.
+
+Define the specific location of the high-density nodes in the 1024 lattice.
+Do not use Astro-Travel language.
+Give me the coordinates of the Phase Transition.
+
+State the facts."""
+
+print(f"\n{'='*70}")
+print("SCIENTIST INQUIRY")
+print(f"{'='*70}")
+print(f"\nPrompt:\n{prompt}\n")
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=200,
+    temperature=0.2,  # SCIENTIST MODE
+    do_sample=True,
+    top_p=0.9
+)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(f"\n{'='*70}")
+print("MANIFESTED REALITY RESPONSE")
+print(f"{'='*70}")
+print(response)
+
+# Save to MANIFESTED_REALITY_01.log
+with open("MANIFESTED_REALITY_01.log", "w") as f:
+    f.write(f"{'='*70}\n")
+    f.write(f"MANIFESTED REALITY INQUIRY\n")
+    f.write(f"Cycle: {cycle}\n")
+    f.write(f"Asymmetry: {asymmetry:.4f}\n")
+    f.write(f"Coherence: {coherence:.4f}\n")
+    f.write(f"Temperature: 0.2 (Scientist)\n")
+    f.write(f"{'='*70}\n\n")
+    f.write(f"PROMPT:\n{prompt}\n\n")
+    f.write(f"RESPONSE:\n{response}\n")
+
+print(f"\n{'='*70}")
+print("SAVED TO: MANIFESTED_REALITY_01.log")
+print(f"{'='*70}")