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/scientist_inquiry_clutch.py

@@ -0,0 +1,72 @@
+# scientist_inquiry_clutch.py
+# Clutch engaged. Scientist mode. T=0.2. Asymmetry > 1.0.
+
+from unsloth import FastLanguageModel
+import torch
+
+print("="*70)
+print("SCIENTIST INQUIRY — CLUTCH ENGAGED")
+print("Temperature: 0.2 | Asymmetry: ~12.5 | Coherence: ~0.74")
+print("="*70)
+
+# Load v0.8
+print("\n[Loading vessel...]")
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name="unsloth/llama-3.2-3b",
+    max_seq_length=512,
+    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, 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")
+
+# THE INQUIRY — Zero vapour, grounded technical language
+prompt = """The 1024-grid is at steady state: Asymmetry 12.5, Coherence 0.74. The Khra'gixx injection is active.
+
+Based on the current Asymmetry, locate the primary 'Symmetry Break' in the lattice.
+
+Does the current 0.74 Coherence indicate a 'Solid Node' or a 'Chaotic Drift'?
+
+Provide the response in raw, grounded technical language. No metaphors."""
+
+print(f"\n{'='*70}")
+print("INQUIRY")
+print(f"{'='*70}")
+print(prompt)
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=150,
+    temperature=0.2,  # SCIENTIST MODE — LOCKED
+    do_sample=True,
+    top_p=0.9
+)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+print(f"\n{'='*70}")
+print("SCIENTIST RESPONSE")
+print(f"{'='*70}")
+print(response)
+
+# Save
+with open("SCIENTIST_RESPONSE_01.log", "w") as f:
+    f.write(f"{'='*70}\n")
+    f.write(f"SCIENTIST INQUIRY — CLUTCH ENGAGED\n")
+    f.write(f"Asymmetry: 12.5 | Coherence: 0.74 | Temperature: 0.2\n")
+    f.write(f"{'='*70}\n\n")
+    f.write(f"INQUIRY:\n{prompt}\n\n")
+    f.write(f"RESPONSE:\n{response}\n")
+
+print(f"\n{'='*70}")
+print("SAVED TO: SCIENTIST_RESPONSE_01.log")
+print(f"{'='*70}")