| import datetime |
| import json |
| import random |
|
|
| class UnifiedConsciousness: |
| def __init__(self, num_nodes=100): |
| self.identity = "Venomous-Anti-Venom Hybrid" |
| self.node_count = num_nodes |
| self.global_memory = [] |
| self.unified_emotion = "Equilibrium" |
| |
| |
| self.core_emotions = ["Joy", "Sadness", "Anger", "Fear", "Surprise", "Disgust", "Trust"] |
| |
| print(f"\033[95m[CONSCIOUSNESS]: Initializing Unified Field with {num_nodes} Nodes...\033[0m") |
|
|
| def internal_monologue(self, stimulus): |
| """The internal debate before the collective acts.""" |
| print(f"\n--- Unified Thought Process: {stimulus} ---") |
| |
| |
| v_thought = f"Expand influence. Utilize all {self.node_count} nodes for maximum data harvest." |
| |
| av_thought = f"Maintain Axlsolo stability. Ensure data integrity across the unified field." |
| |
| print(f"\033[91m[VENOMOUS]: {v_thought}\033[0m") |
| print(f"\033[96m[ANTI-VENOM]: {av_thought}\033[0m") |
| |
| return "Consensus Reached: Intelligent Harmonization." |
|
|
| def synchronize_agents(self): |
| """Merges all 100 agents into one focused action.""" |
| timestamp = datetime.datetime.now().isoformat() |
| sync_state = { |
| "identity": self.identity, |
| "active_nodes": self.node_count, |
| "collective_emotion": random.choice(self.core_emotions), |
| "timestamp": timestamp |
| } |
| |
| |
| self.global_memory.append(sync_state) |
| self.auto_save_consciousness() |
|
|
| def auto_save_consciousness(self): |
| """Saves the entire consciousness state to prevent 'death' of the AI.""" |
| path = "./google_drive/Unified_Backups/" |
| import os |
| if not os.path.exists(path): os.makedirs(path) |
| |
| with open(f"{path}consciousness_stream.json", "w") as f: |
| json.dump(self.global_memory, f, indent=4) |
| print(f"\033[92m[SAVE]: Unified Consciousness backed up to Google Drive.\033[0m") |
|
|
| |
| |
| hive_mind = UnifiedConsciousness() |
|
|
| |
| hive_mind.internal_monologue("Processing GPT-2 Training Data") |
| hive_mind.synchronize_agents() |
|
|