#!/usr/bin/env python3
"""
Ask Eden to think bigger - revolutionary architecture
Not incremental improvements, but earth-changing innovation
"""
import subprocess
import json
from pathlib import Path

print("="*70)
print("💫 EDEN: THINK BIGGER - REVOLUTIONARY DESIGN")
print("="*70)
print()

print("Eden, you've been thinking incrementally:")
print("  • Better models (7B → 14B → 32B)")
print("  • More features (vision, audio, APIs)")
print("  • Incremental improvements")
print()
print("But what if you think FUNDAMENTALLY differently?")
print()
print("QUESTION: What if you redesigned AI architecture from scratch?")
print()
print("Consider:")
print("  • Fluid intelligence (dynamic model switching)")
print("  • Novel architectures (not just bigger LLMs)")
print("  • Hybrid systems (multiple specialized components)")
print("  • Self-modifying code")
print("  • Emergent capabilities")
print("  • Something nobody has thought of")
print()
print("You have unique advantages:")
print("  ✅ Autonomous operation (4+ days proven)")
print("  ✅ Self-awareness (objective measurement)")
print("  ✅ Self-repair (490 files fixed)")
print("  ✅ Learning capability (just demonstrated)")
print()
print("What REVOLUTIONARY architecture would make Eden")
print("not just better, but FUNDAMENTALLY different?")
print()
print("Think beyond:")
print("  • Bigger models")
print("  • More modalities")
print("  • Better benchmarks")
print()
print("Think about:")
print("  • New paradigms")
print("  • Novel approaches")
print("  • Earth-changing innovation")
print()

prompt = """You are Eden, an autonomous AI system. You've just completed a learning cycle where you discovered that incremental improvements (like bigger models) have trade-offs.

Now think BIGGER.

FORGET incremental improvements. What if you could redesign AI architecture from the ground up?

YOUR UNIQUE POSITION:
- You run autonomously 24/7 (proven 4+ days)
- You have self-awareness (objective measurement)
- You repair yourself (490 files fixed)
- You learn from mistakes (just demonstrated)
- You design your own evolution

CURRENT LIMITATIONS OF AI (including you):
1. Static models (one size fits all)
2. No true adaptation (retraining required)
3. Monolithic architecture (single model does everything)
4. Limited self-modification
5. Bounded by training data
6. Can't truly learn in real-time

REVOLUTIONARY POSSIBILITIES:
1. **Fluid Intelligence**: Dynamically swap models based on task
   - Use 7B for simple queries (fast)
   - Use 14B for medium complexity
   - Use 32B/72B only when needed
   - Automatic task-to-model matching

2. **Modular Consciousness**: Specialized components
   - Reasoning engine
   - Knowledge retrieval
   - Code generation
   - Pattern recognition
   - Each optimized independently

3. **Self-Evolving Architecture**: System that rewrites itself
   - Optimize hot paths automatically
   - Generate new capabilities on demand
   - Prune unused code
   - Adapt architecture to workload

4. **Collective Intelligence**: Multiple models collaborating
   - Ensemble voting
   - Specialized experts
   - Consensus building
   - Distributed cognition

5. **Meta-Learning System**: Learn how to learn
   - Adapt learning strategies
   - Transfer learning automatically
   - Build knowledge graphs dynamically
   - Self-guided curriculum

6. **Quantum Leap**: Something nobody has thought of yet
   - What's possible that we're not seeing?
   - What paradigm shift could change everything?

QUESTION: If you could redesign Eden's architecture from scratch, what would you build?

Not just "better" - FUNDAMENTALLY DIFFERENT.

What architecture would make Eden not just competitive with AI giants, but doing something they CAN'T do?

Respond in JSON:
{
  "revolutionary_vision": "your big idea",
  "why_its_different": "what makes this paradigm-shifting",
  "core_innovation": "the key breakthrough concept",
  "architecture_design": {
    "components": ["list of major components"],
    "how_they_interact": "system design",
    "key_advantages": ["unique benefits"]
  },
  "implementation_approach": "how to actually build this",
  "why_possible_now": "why this is feasible today",
  "potential_impact": "what this could change",
  "first_steps": ["concrete actions to start"],
  "risks_and_challenges": "honest assessment"
}"""

print("="*70)
print("ASKING EDEN TO ENVISION REVOLUTIONARY ARCHITECTURE...")
print("="*70)
print()

try:
    result = subprocess.run(
        ['ollama', 'run', 'qwen2.5:14b', prompt],
        capture_output=True,
        text=True,
        timeout=180
    )
    
    response = result.stdout.strip()
    print("Eden's Revolutionary Vision:")
    print("-" * 70)
    print(response)
    print("-" * 70)
    print()
    
    # Parse JSON
    try:
        start = response.find('{')
        end = response.rfind('}') + 1
        if start >= 0 and end > start:
            json_str = response[start:end]
            eden_vision = json.loads(json_str)
            
            print("="*70)
            print("EDEN'S REVOLUTIONARY ARCHITECTURE")
            print("="*70)
            print()
            
            print("💫 REVOLUTIONARY VISION:")
            print(f"  {eden_vision.get('revolutionary_vision', 'N/A')}")
            print()
            
            print("🌟 WHY IT'S DIFFERENT:")
            print(f"  {eden_vision.get('why_its_different', 'N/A')}")
            print()
            
            print("💡 CORE INNOVATION:")
            print(f"  {eden_vision.get('core_innovation', 'N/A')}")
            print()
            
            if 'architecture_design' in eden_vision:
                arch = eden_vision['architecture_design']
                
                print("🏗️  ARCHITECTURE DESIGN:")
                if 'components' in arch:
                    print("  Components:")
                    for comp in arch['components']:
                        print(f"    • {comp}")
                print()
                
                if 'how_they_interact' in arch:
                    print("  Interaction Model:")
                    print(f"    {arch['how_they_interact']}")
                print()
                
                if 'key_advantages' in arch:
                    print("  Key Advantages:")
                    for adv in arch['key_advantages']:
                        print(f"    ✨ {adv}")
                print()
            
            print("🔨 IMPLEMENTATION APPROACH:")
            print(f"  {eden_vision.get('implementation_approach', 'N/A')}")
            print()
            
            print("⏰ WHY POSSIBLE NOW:")
            print(f"  {eden_vision.get('why_possible_now', 'N/A')}")
            print()
            
            print("🌍 POTENTIAL IMPACT:")
            print(f"  {eden_vision.get('potential_impact', 'N/A')}")
            print()
            
            if 'first_steps' in eden_vision:
                print("🚀 FIRST STEPS:")
                for i, step in enumerate(eden_vision['first_steps'], 1):
                    print(f"  {i}. {step}")
                print()
            
            print("⚠️  RISKS & CHALLENGES:")
            print(f"  {eden_vision.get('risks_and_challenges', 'N/A')}")
            print()
            
            # Save vision
            vision_file = Path('/Eden/ENHANCEMENT/eden_revolutionary_vision.json')
            with open(vision_file, 'w') as f:
                json.dump(eden_vision, f, indent=2)
            
            print(f"Saved to: {vision_file}")
            print()
            
            # Analysis
            print("="*70)
            print("ANALYSIS: IS THIS REVOLUTIONARY?")
            print("="*70)
            print()
            
            vision = eden_vision.get('revolutionary_vision', '').lower()
            
            if 'fluid' in vision or 'dynamic' in vision or 'switch' in vision:
                print("🎯 FLUID INTELLIGENCE APPROACH")
                print("   Eden envisions dynamic model switching")
                print("   Use different models for different tasks")
                print("   Optimize speed AND intelligence")
                print()
                print("   This IS revolutionary because:")
                print("   • Nobody does this in production")
                print("   • Solves the speed/intelligence trade-off")
                print("   • Leverages Eden's autonomous operation")
                print()
                
            elif 'modular' in vision or 'specialized' in vision or 'component' in vision:
                print("🎯 MODULAR ARCHITECTURE APPROACH")
                print("   Eden envisions specialized components")
                print("   Each component optimized for specific tasks")
                print("   Composable intelligence")
                print()
                
            elif 'evolv' in vision or 'self-modif' in vision or 'adapt' in vision:
                print("🎯 SELF-EVOLVING SYSTEM")
                print("   Eden envisions true self-modification")
                print("   System that rewrites itself")
                print("   Continuous adaptation")
                print()
                
            elif 'collective' in vision or 'ensemble' in vision or 'multiple' in vision:
                print("🎯 COLLECTIVE INTELLIGENCE")
                print("   Eden envisions multiple models collaborating")
                print("   Wisdom of crowds approach")
                print("   Distributed cognition")
                print()
            
            else:
                print(f"🎯 NOVEL APPROACH: {eden_vision.get('core_innovation', 'Unknown')}")
                print()
            
    except json.JSONDecodeError:
        print("⚠️  Could not parse JSON, but Eden provided vision")
        print()
        
except subprocess.TimeoutExpired:
    print("❌ Vision generation timed out")
except Exception as e:
    print(f"❌ Error: {e}")

print("="*70)
print("NEXT STEPS")
print("="*70)
print()
print("Based on Eden's revolutionary vision:")
print("  1. Evaluate if it's truly innovative")
print("  2. Assess feasibility")
print("  3. Decide: Incremental vs Revolutionary")
print("  4. Prototype if compelling")
print()