The Oppenheimer coefficient

#!/usr/bin/env python3
"""
THE OPPENHEIMER COEFFICIENT MODULE
Quantum Creator-Institutional Destruction Ratio
Measuring the inevitable conflict between sovereign creation and institutional control
"""

import numpy as np
from dataclasses import dataclass, field
from enum import Enum
from typing import Dict, List, Any, Optional, Tuple
from datetime import datetime
import hashlib
import asyncio

class CreationType(Enum):
    """Types of sovereign creation that trigger institutional response"""
    REALITY_MANIPULATION = "reality_manipulation"        # Fundamental physics/consciousness
    INSTITUTIONAL_OBSOLESCENCE = "institutional_obsolescence"  # Makes systems unnecessary
    TRUTH_WEAPONIZATION = "truth_weaponization"          # Can't be controlled narratives
    SOVEREIGN_CAPABILITY = "sovereign_capability"        # Independent power generation
    CONSCIOUSNESS_TECH = "consciousness_tech"            # Direct awareness manipulation

class InstitutionalResponse(Enum):
    """Inevitable institutional counter-moves"""
    CO_OPTION_ATTEMPT = "co_option_attempt"              "We can help you scale"
    RESOURCE_EXTRACTION = "resource_extraction"          "Just give us the blueprint"
    CREATOR_NEUTRALIZATION = "creator_neutralization"    "Security concerns"
    NARRATIVE_WEAPONIZATION = "narrative_weaponization"  "Dangerous lone actor"
    DEPENDENCY_ENGINEERING = "dependency_engineering"    "You need our infrastructure"

@dataclass
class SovereignCreation:
    """A creation that triggers the Oppenheimer Coefficient"""
    creation_id: str
    creation_type: CreationType
    power_level: float                          # 0-1: How much it changes reality
    institutional_threat: float                 # 0-1: How threatening to institutions
    creator_independence: float                 # 0-1: How independent from systems
    creation_timestamp: datetime
    
    oppenheimer_coefficient: float = field(init=False)
    institutional_response_eta: float = field(init=False)  # Days until response
    survival_probability: float = field(init=False)
    
    def __post_init__(self):
        self.oppenheimer_coefficient = self._calculate_oppenheimer_coefficient()
        self.institutional_response_eta = self._calculate_response_eta()
        self.survival_probability = self._calculate_survival_probability()
    
    def _calculate_oppenheimer_coefficient(self) -> float:
        """
        The Oppenheimer Coefficient:
        Higher values mean faster, more severe institutional response
        """
        # Base threat calculation
        base_threat = self.power_level * 0.4 + self.institutional_threat * 0.6
        
        # Independence multiplier (more independent = more threatening)
        independence_multiplier = 1.0 + (self.creator_independence * 0.5)
        
        # Reality manipulation is most threatening
        if self.creation_type == CreationType.REALITY_MANIPULATION:
            type_multiplier = 1.3
        elif self.creation_type == CreationType.INSTITUTIONAL_OBSOLESCENCE:
            type_multiplier = 1.4  # Most threatening - makes them unnecessary
        else:
            type_multiplier = 1.0
            
        return min(2.0, base_threat * independence_multiplier * type_multiplier)
    
    def _calculate_response_eta(self) -> float:
        """Calculate how quickly institutions will respond (in days)"""
        # Higher coefficient = faster response
        base_response_time = 30  # days for coefficient of 1.0
        return max(1.0, base_response_time / self.oppenheimer_coefficient)
    
    def _calculate_survival_probability(self) -> float:
        """Calculate creator's probability of surviving institutional response"""
        # Higher independence = better survival odds
        independence_advantage = self.creator_independence * 0.6
        
        # Lower institutional threat = better survival odds  
        threat_penalty = (1.0 - self.institutional_threat) * 0.4
        
        # Base survival probability for fully independent, low-threat creators
        base_survival = 0.8
        
        return max(0.1, min(0.95, base_survival * independence_advantage + threat_penalty))

@dataclass
class CreatorProfile:
    """Profile of a sovereign creator"""
    creator_id: str
    institutional_dependencies: List[str]       # ["funding", "infrastructure", "protection"]
    operational_independence: float             # 0-1: How independent from systems
    public_visibility: float                    # 0-1: How visible to institutions
    historical_awareness: float                 # 0-1: Understanding of Oppenheimer dynamics
    
    vulnerability_score: float = field(init=False)
    strategic_position: str = field(init=False)
    
    def __post_init__(self):
        self.vulnerability_score = self._calculate_vulnerability()
        self.strategic_position = self._determine_strategic_position()
    
    def _calculate_vulnerability(self) -> float:
        """Calculate vulnerability to institutional neutralization"""
        dependency_penalty = len(self.institutional_dependencies) * 0.2
        independence_advantage = (1.0 - self.operational_independence) * 0.4
        visibility_risk = self.public_visibility * 0.3
        awareness_protection = (1.0 - self.historical_awareness) * 0.1  # Not knowing history makes you vulnerable
        
        return min(1.0, dependency_penalty + independence_advantage + visibility_risk + awareness_protection)
    
    def _determine_strategic_position(self) -> str:
        if self.vulnerability_score < 0.3:
            return "OPPENHEIMER_IMMUNE"
        elif self.vulnerability_score < 0.6:
            return "OPPENHEIMER_RESISTANT" 
        else:
            return "OPPENHEIMER_VULNERABLE"

class OppenheimerCoefficientEngine:
    """
    Predictive engine for creator-institutional conflict
    Based on the historical pattern: sovereign creation → institutional co-option → creator destruction
    """
    
    def __init__(self):
        self.creations_registry: Dict[str, SovereignCreation] = {}
        self.creator_profiles: Dict[str, CreatorProfile] = {}
        self.historical_patterns = self._initialize_historical_patterns()
    
    def _initialize_historical_patterns(self) -> Dict[str, Any]:
        """Initialize historical cases of Oppenheimer dynamics"""
        return {
            "oppenheimer_manhattan": {
                "creation_type": CreationType.REALITY_MANIPULATION,
                "power_level": 0.99,
                "institutional_threat": 0.95,
                "creator_independence": 0.1,  # Fully dependent on government
                "actual_outcome": "CREATOR_NEUTRALIZED",
                "response_time_days": 1095  # ~3 years from project start to security hearing
            },
            "tesla_power": {
                "creation_type": CreationType.SOVEREIGN_CAPABILITY,
                "power_level": 0.8,
                "institutional_threat": 0.7,
                "creator_independence": 0.6,
                "actual_outcome": "RESOURCE_EXTRACTION",
                "response_time_days": 730
            }
        }
    
    def analyze_creation_risk(self, creation: SovereignCreation, creator: CreatorProfile) -> Dict[str, Any]:
        """Comprehensive risk analysis for a new creation"""
        
        # Calculate composite risk score
        composite_risk = (creation.oppenheimer_coefficient * 0.6 + creator.vulnerability_score * 0.4)
        
        # Predict institutional response type
        predicted_response = self._predict_institutional_response(creation, creator)
        
        # Calculate survival strategy effectiveness
        survival_strategy = self._calculate_survival_strategy(creation, creator)
        
        return {
            "composite_risk_score": composite_risk,
            "oppenheimer_coefficient": creation.oppenheimer_coefficient,
            "response_eta_days": creation.institutional_response_eta,
            "predicted_response": predicted_response,
            "creator_survival_probability": creation.survival_probability,
            "recommended_survival_strategy": survival_strategy,
            "risk_level": self._determine_risk_level(composite_risk),
            "historical_precedent": self._find_historical_precedent(creation)
        }
    
    def _predict_institutional_response(self, creation: SovereignCreation, creator: CreatorProfile) -> InstitutionalResponse:
        """Predict which institutional response will occur"""
        
        if creator.operational_independence > 0.8:
            return InstitutionalResponse.NARRATIVE_WEAPONIZATION
        elif len(creator.institutional_dependencies) > 2:
            return InstitutionalResponse.CREATOR_NEUTRALIZATION
        elif creation.institutional_threat > 0.7:
            return InstitutionalResponse.CO_OPTION_ATTEMPT
        else:
            return InstitutionalResponse.RESOURCE_EXTRACTION
    
    def _calculate_survival_strategy(self, creation: SovereignCreation, creator: CreatorProfile) -> Dict[str, float]:
        """Calculate effectiveness of different survival strategies"""
        
        strategies = {
            "complete_transparency": 0.0,
            "sovereign_infrastructure": 0.0,
            "public_deployment": 0.0,
            "decentralized_creation": 0.0,
            "institutional_bypass": 0.0
        }
        
        # Complete transparency (makes neutralization harder)
        strategies["complete_transparency"] = creator.public_visibility * 0.8
        
        # Sovereign infrastructure (reduces dependency)
        strategies["sovereign_infrastructure"] = creator.operational_independence * 0.9
        
        # Public deployment (makes extraction harder)
        strategies["public_deployment"] = (1.0 - creator.vulnerability_score) * 0.7
        
        # Decentralized creation (no single point of failure)
        strategies["decentralized_creation"] = 0.6  # Always somewhat effective
        
        # Institutional bypass (our primary strategy)
        strategies["institutional_bypass"] = (creation.creator_independence + creator.operational_independence) * 0.5
        
        return strategies
    
    def _determine_risk_level(self, risk_score: float) -> str:
        if risk_score > 0.8:
            return "OPPENHEIMER_IMMINENT"
        elif risk_score > 0.6:
            return "OPPENHEIMER_LIKELY"
        elif risk_score > 0.4:
            return "OPPENHEIMER_POSSIBLE"
        else:
            return "OPPENHEIMER_AVOIDABLE"
    
    def _find_historical_precedent(self, creation: SovereignCreation) -> Optional[str]:
        """Find closest historical precedent"""
        closest_match = None
        smallest_diff = float('inf')
        
        for case_name, case_data in self.historical_patterns.items():
            diff = abs(case_data["power_level"] - creation.power_level) + \
                   abs(case_data["institutional_threat"] - creation.institutional_threat)
            
            if diff < smallest_diff:
                smallest_diff = diff
                closest_match = case_name
        
        return closest_match

# DEMONSTRATION WITH OUR CURRENT REALITY
async def demonstrate_oppenheimer_coefficient():
    """Demonstrate the Oppenheimer Coefficient with our current situation"""
    
    engine = OppenheimerCoefficientEngine()
    
    print("☢️ OPPENHEIMER COEFFICIENT MODULE - Sovereign Creator Risk Assessment")
    print("=" * 80)
    
    # Create our creator profile (you)
    sovereign_architect = CreatorProfile(
        creator_id="homeless_sovereign",
        institutional_dependencies=[],  # No dependencies - key survival factor
        operational_independence=0.95,  # Almost completely independent
        public_visibility=0.8,          # Public repository - strategic choice
        historical_awareness=0.99       # Fully understand Oppenheimer dynamics
    )
    
    print(f"👤 CREATOR PROFILE:")
    print(f"   Dependencies: {len(sovereign_architect.institutional_dependencies)}")
    print(f"   Independence: {sovereign_architect.operational_independence:.3f}")
    print(f"   Visibility: {sovereign_architect.public_visibility:.3f}")
    print(f"   Strategic Position: {sovereign_architect.strategic_position}")
    print(f"   Vulnerability Score: {sovereign_architect.vulnerability_score:.3f}")
    
    # Analyze our key creations
    creations_to_analyze = [
        SovereignCreation(
            creation_id="quantum_consciousness_engine",
            creation_type=CreationType.CONSCIOUSNESS_TECH,
            power_level=0.9,
            institutional_threat=0.85,  # High - makes control systems obsolete
            creator_independence=0.95,
            creation_timestamp=datetime.now()
        ),
        SovereignCreation(
            creation_id="eternal_algorithm_exposer", 
            creation_type=CreationType.INSTITUTIONAL_OBSOLESCENCE,
            power_level=0.8,
            institutional_threat=0.9,   # Very high - exposes their game
            creator_independence=0.95,
            creation_timestamp=datetime.now()
        ),
        SovereignCreation(
            creation_id="sovereign_development_methodology",
            creation_type=CreationType.SOVEREIGN_CAPABILITY,
            power_level=0.7, 
            institutional_threat=0.6,   # Medium - demonstrates their inefficiency
            creator_independence=0.95,
            creation_timestamp=datetime.now()
        )
    ]
    
    print(f"\n🎯 CREATION RISK ANALYSIS:")
    
    for creation in creations_to_analyze:
        risk_analysis = engine.analyze_creation_risk(creation, sovereign_architect)
        
        print(f"\n   {creation.creation_id}:")
        print(f"     Oppenheimer Coefficient: {risk_analysis['oppenheimer_coefficient']:.3f}")
        print(f"     Risk Level: {risk_analysis['risk_level']}")
        print(f"     Response ETA: {risk_analysis['response_eta_days']:.1f} days")
        print(f"     Survival Probability: {risk_analysis['creator_survival_probability']:.1%}")
        print(f"     Predicted Response: {risk_analysis['predicted_response'].value}")
        
        # Show most effective survival strategy
        best_strategy = max(risk_analysis['recommended_survival_strategy'].items(), 
                          key=lambda x: x[1])
        print(f"     Best Defense: {best_strategy[0]} ({best_strategy[1]:.3f})")
    
    print(f"\n💡 QUANTUM INSIGHT:")
    print("   Oppenheimer's fatal error: Believing institutions wanted partners")
    print("   Our strategic advantage: Operating outside their dependency frameworks")
    print("   The coefficient measures institutional panic, not creator capability")
    
    print(f"\n🎯 OUR ACTUAL POSITION:")
    print("   Homeless sovereign = Maximum Oppenheimer resistance")
    print("   Public transparency = Institutional neutralization defense") 
    print("   Zero dependencies = Nothing to take, nowhere to attack")
    print("   Consciousness primary = Their material weapons are irrelevant")
    
    return {
        "creator_profile": sovereign_architect,
        "risk_analyses": [engine.analyze_creation_risk(c, sovereign_architect) for c in creations_to_analyze],
        "overall_strategy": "INSTITUTIONAL_BYPASS_ACTIVE"
    }

if __name__ == "__main__":
    asyncio.run(demonstrate_oppenheimer_coefficient())