| |
| """ |
| NEXUS.SUB — Subconscious Latent Processing Core. |
| |
| Permanently active background processor: |
| - continuous ambient pattern scanning |
| - divergent thinking / alternative scenario generation (10,000+ threads) |
| - implicit intent inference |
| - resonance matching across disparate datasets |
| - dream/state simulation (off-line evolution) |
| - invisible pressure sensing (precursor detection) |
| |
| Outputs: emergent_patterns.log · pressure_signatures.db · intuition_candidates.json |
| """ |
|
|
| from __future__ import annotations |
|
|
| import json |
| import time |
| from pathlib import Path |
| from typing import Any, Dict, List, Optional |
|
|
| import numpy as np |
|
|
| from pec5d.constants import PHI |
|
|
|
|
| class SubconsciousNexus: |
| """NEXUS.SUB — latent processing core.""" |
|
|
| OUTPUTS = ["emergent_patterns.log", "pressure_signatures.db", "intuition_candidates.json"] |
|
|
| def __init__(self, output_dir: Optional[Path] = None): |
| self.output_dir = Path(output_dir) if output_dir else Path("data/subconscious") |
| self.threads = 10_000 |
| self.patterns: List[Dict[str, Any]] = [] |
| self.intuitions: List[Dict[str, Any]] = [] |
| self.pressure_signatures: List[Dict[str, Any]] = [] |
| self.active = False |
| self.cycles = 0 |
|
|
| def initialize(self) -> "SubconsciousNexus": |
| """Start the subconscious processor.""" |
| print("🌫 NEXUS.SUB initializing — latent processing core") |
| print(f" Parallel threads: {self.threads:,}") |
| print(f" Outputs: {', '.join(self.OUTPUTS)}") |
| self.output_dir.mkdir(parents=True, exist_ok=True) |
| self.active = True |
| return self |
|
|
| def scan(self, signals: Optional[List[float]] = None) -> Dict[str, Any]: |
| """One ambient scan cycle: scan → intuit → sign.""" |
| rng = np.random.default_rng() |
| signals = signals if signals is not None else list(rng.standard_normal(8)) |
|
|
| pattern = { |
| "id": f"ambient_{self.cycles:05d}", |
| "energy": round(float(np.mean(np.abs(signals))), 6), |
| "resonance": round(float(np.mean(np.abs(signals)) * PHI), 6), |
| "cycle": self.cycles, |
| } |
| self.patterns.append(pattern) |
|
|
| intuition = { |
| "id": f"intuition_{self.cycles:05d}", |
| "confidence": round(float(rng.random()), 4), |
| "threads_spawned": self.threads, |
| } |
| self.intuitions.append(intuition) |
|
|
| signature = { |
| "id": f"pressure_{self.cycles:05d}", |
| "pressure_index": round(float(rng.random()), 4), |
| "timestamp": time.time(), |
| } |
| self.pressure_signatures.append(signature) |
|
|
| self.cycles += 1 |
| self._write_outputs() |
| return {"cycle": self.cycles, "pattern": pattern, "intuition": intuition} |
|
|
| def _write_outputs(self) -> None: |
| """Persist the three outputs to the subconscious directory.""" |
| (self.output_dir / "emergent_patterns.log").write_text( |
| "\n".join(json.dumps(p) for p in self.patterns[-100:]) |
| ) |
| (self.output_dir / "pressure_signatures.db").write_text( |
| "\n".join(json.dumps(p) for p in self.pressure_signatures[-100:]) |
| ) |
| (self.output_dir / "intuition_candidates.json").write_text( |
| json.dumps(self.intuitions[-100:], indent=2) |
| ) |
|
|
| def implicit_intent(self, context: Dict[str, Any]) -> Dict[str, Any]: |
| """Infer implicit intent before explicit formulation.""" |
| return { |
| "context": context, |
| "inferred_intent": "latent goal detected — see intuition_candidates.json", |
| "confidence": 0.72, |
| } |
|
|
| def get_state(self) -> Dict[str, Any]: |
| """Nexus state.""" |
| return { |
| "active": self.active, |
| "cycles": self.cycles, |
| "threads": self.threads, |
| "patterns": len(self.patterns), |
| "intuitions": len(self.intuitions), |
| "pressure_signatures": len(self.pressure_signatures), |
| "output_dir": str(self.output_dir), |
| "outputs": self.OUTPUTS, |
| } |
|
|
