PR:X

HUB

[sjlavieth@gmail.com] | [x.com/modsias] |

Summary: A highly motivated and experienced researcher/engineer with a strong background in AI, token economics, and distributed systems. Proven ability to develop innovative solutions and apply mathematical models to complex problems. Passionate about contributing to the development of safe and beneficial AI.

• Artificial Intelligence (NLP, GPT models, Personality Modeling)
• Token Economics (Cobb-Douglas, Emission Decay, Token-Gated Access)
• Voice Assistant Integration (Amazon Alexa, Apple Siri, Home Assistant)
• Mathematical Modeling (Optimization, Statistics, Game Theory)
• Cloud Computing (Google Cloud Platform)
• Java, JavaScript, Node.js

This project demonstrates a streaming service with a token-based creator economy, featuring AI-powered content generation, token rewards, and advanced features.

• Improved content quality and engagement by refining natural language processing using advanced GPT models.
• Developed mathematical personality modeling (P = (empathy, creativity, precision)) for nuanced content creation.
• Optimized the memory system with a recency bias function (f(t) = exp(-λt)).
• Reduced response generation complexity towards O(log n).

• Designed a sustainable and equitable token economy using the Cobb-Douglas production function (R = C^α * V^β) for reward distribution.
• Calibrated the exponential emission decay function (E(t) = E₀ × λ^t).
• Implemented dynamic, token-gated service access with mathematical scaling.

• Expanded the reach and utility of the voice assistant through enhanced integration and rewards.
• Developed a sophisticated mathematical reward model for voice interactions.
• Improved conversation context awareness for seamless multi-turn interactions.
• Integrated with diverse voice platforms (Amazon Alexa, Apple Siri, Home Assistant).

• Comprehensive system monitoring with mathematical health metrics
• RMB/GBT currency exchange integration for global transactions
• Excelsior premium health features for enhanced reliability
• Token-based incentives for system monitoring and maintenance

GET /health
Response: Comprehensive health status with metrics

GET /api/health/metrics
Response: Detailed system metrics and service dependencies

GET /api/exchange/rates
Response: Current RMB/GBT exchange rates

POST /api/exchange/convert
{
  "amount": 100,
  "targetCurrency": "RMB"
}
Response: Converted token amount with exchange data

POST /api/excelsior/subscribe
{
  "userId": "creator1",
  "features": ["predictiveScaling", "redundantBackups", "crossChainBridge"]
}
Response: Excelsior subscription details

• Cobb-Douglas production function for reward distribution: R = C^α * V^β
• Exponential emission decay function: E(t) = E₀ × λ^t
• Token-gated service access with mathematical scaling

The platform provides token-gated Java debugging capabilities. Higher token balances unlock more advanced debugging features.

# Start Java application with debugging enabled (consumes tokens)
./scripts/java-debug.sh start [class-or-jar] --token-level creator

# Attach debugger to running Java process
./scripts/java-debug.sh attach [pid] [user-id]

# Check debug session status and token consumption
./scripts/java-debug.sh status [user-id]

• Natural language processing using GPT models
• Mathematical personality modeling: P = (empathy, creativity, precision)
• Memory system with recency bias function: f(t) = exp(-λt)
• Response generation bounded by O(log n) complexity

• Content filtering using sigmoid threshold: σ(x) = 1/(1+e^(-x))
• Rate limiting with token bucket algorithm B(t) = min(B(t-1) + r, B_max)
• Staking mechanism with continuous compounding: A = Pe^(rt)
• Temperature modulation via linear combination T = λ₁v₁ + λ₂v₂ + λ₃v₃

The platform includes an "Ask Me Anything" (AMA) voice assistant that integrates with popular voice platforms and rewards users with tokens for voice interactions.

• Amazon Alexa: Use the Token Economy skill to ask questions and earn tokens
• Apple Siri: Configure Siri Shortcuts to interact with the token economy
• Home Assistant: Integrate with your home automation system

• Token rewards for voice questions using mathematical reward model
• Conversation context awareness for multi-turn interactions
• Integration with the core token economy system
• Voice-based token balance inquiries

# Alexa Skill Endpoint
POST /api/voice/alexa

# Siri Shortcut Endpoint
POST /api/voice/siri
{
  "question": "How does token economy work?",
  "userId": "user123",
  "shortcutId": "token_ama"
}

# Home Assistant Integration
POST /api/voice/home-assistant
{
  "question": "What is my token balance?",
  "userId": "user123",
  "entityId": "token_assistant"
}

# Voice Platform Configuration
GET /api/voice/config?platform=alexa|siri|home-assistant

# Voice Interaction Statistics
GET /api/voice/stats

Voice interactions earn tokens based on:

• Question complexity (length and context)
• User frequency (regular users earn bonus rewards)
• Platform-specific factors

{
  "message": "Your message here"
}

Response:

{
  "message": "AI response",
  "metadata": {
    "filtered": boolean,
    "rateLimits": {
      "remaining": number,
      "limit": number
    },
    "tokenRewards": {
      "earned": number,
      "cached": boolean
    }
  }
}

The service automatically handles Google Cloud CLI availability, with graceful fallback to local mode when the CLI is unavailable. This ensures token operations continue even when cloud connectivity is limited.

npm ci  # Use this to install exact versions from package-lock.json

1. Provide OpenAI API key: export OPENAI_API_KEY=your_key_here
2. Select 'Deploy to Cloud Run' from Cloud Code
3. Deploy with token economics parameters:

   TOKEN_EMISSION_RATE=1000 CREATOR_RATIO=0.7 CONSUMER_RATIO=0.2 EXCHANGE_ENABLED=true EXCELSIOR_ENABLED=true node app.js
   

To configure Git for this project, follow these steps:

1. Set your user name and email:

   git config --global user.name "Your Name"
   git config --global user.email "your.email@example.com"

2. Configure line endings (optional, but recommended for cross-platform compatibility):

   git config --global core.autocrlf true

We welcome contributions to this project! Please follow these guidelines:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with clear, concise messages.
4. Submit a pull request.

Please ensure your code adheres to the project's coding standards and includes appropriate tests.