Cortensor
  • Home
  • Abstract
    • Value Proposition
    • Whitepaper
      • Page 1: Introduction and Vision
      • Page 2: Architecture and Technical Overview
      • Page 3: Incentive Structure and Tokenomics
      • Page4: Development Roadmap and Phases
      • Page5: Summary
  • Introduction
    • What is Cortensor?
    • Key Features & Benefits
    • Vision & Mission
    • Team
  • Getting Started
    • Quick Start Guide
    • System Requirements
    • Installation & Setup
      • Getting Test ETH
      • Setup Own RPC Endpoint
      • Router Node Setup
        • Router API Reference
  • Core Concepts
    • Decentralized AI Inference
      • Community-Powered Network
      • Gamification and Quality Control
      • Incentive Structure
    • Universal AI Accessibility
    • Multi-layer Blockchain Architecture
  • Technical Architecture
    • Design Principles
    • Node Roles
    • Node Lifecycle
      • Ephemeral Node State
    • Node Reputation
    • Network & Flow
    • Type of Services
    • Coordination & Orchestration
      • Multi-Oracle Node Reliability & Leadership Rotation
    • AI Inference
      • Open Source Models
        • Centralized vs Decentralized Models
      • Quantization
      • Performance and Scalability
    • Consensus & Validation
      • Proof of Inference (PoI) & Proof of Useful Work (PoUW
      • aka Mining
      • Proof of Useful Work (PoUW)
      • Proof of Useful Work (PoUW) State Machine
        • Miner & Oracle Nodes in PoUW State Machine
      • Sampling in Large Distributed Systems
      • Parallel Processing
      • Embedding Vector Distance
    • Multi-Layered Blockchain Architecture
    • Modular Architecture and Smart Contract Interactions
      • Session Queue
      • Node Pool
      • Session Payment
    • Mining Overview
    • User Interaction & Node Communication
      • Session, Session Queue, Router, and Miner in Cortensor
    • Data Management
      • IPFS Integration
    • Security & Privacy
    • Dashboard
    • Development Previews
      • Multiple Miners Collaboration with Oracle Node
      • Web3 SDK Client & Session/Session Queue Interaction
    • Technical Threads
      • AI Agents and Cortensor's Decentralized AI Inference
    • Infographic Archive
  • Community & Ecosystem
    • Tokenomics
      • Network Incentive Allocation
      • Token Allocations & Safe Wallet Management
    • Staking Pool Overview
    • Contributing to Cortensor
    • Incentives & Reward System
    • Governance & Compliance
    • Safety Measures and Restricted Addresses
    • Buyback Program
    • Liquidity Additions
    • Partnerships
      • Partnership Offering for Demand-Side Partnerships
    • Community Testing
      • Closed Alpha Testing Phase #1
        • Closed Alpha Testing Phase #1 Contest: Closing & Winners Announcement
      • Closed Alpha Testing Phase #2
      • Closed Alpha Testing Phase #3
      • Discord Roles & Mainnet Privileges
      • DevNet Mapping
      • DevNet Modules & Parameters
    • Jobs
      • Technical Writer
      • Communication & Social Media Manager
      • Web3 Frontend Developer
      • Distributed Systems Engineer
  • Integration Guide
    • Web2
      • REST API
      • WebSocket
      • Client SDK
    • Web3
      • Web3 SDK
  • Use Cases
  • Roadmap
    • Technical Roadmap: Launch to Next 365 Days Breakdown
    • Long-term Vision: Beyond Inference
  • Glossary
  • Legal
    • Terms of Use
    • Privacy Policy
    • Disclaimer
    • Agreement for Sale of Tokens
Powered by GitBook
On this page
  1. Technical Architecture

Design Principles

Keeping It Simple and Effective

At Cortensor, we embrace simplicity as a core design principle, guided by Albert Einstein's wisdom:

"Make things as simple as possible, but not simpler." - Albert Einstein

Our approach ensures a maintainable, scalable, and efficient system through three fundamental principles:

1. KISS (Keep It Simple, Stupid)

  • Simple Design: We focus on essential features, avoiding unnecessary complexity.

  • Ease of Maintenance: Simplicity makes our system easier to understand and maintain.

"Debugging is twice as hard as writing the code in the first place." - Brian Kernighan

2. YAGNI (You Aren't Gonna Need It)

  • Avoid Premature Features: We implement functionality only when it's truly needed.

  • Timely Decision-Making: Our design choices are based on current requirements, not speculative needs.

3. Occam's Razor

  • Minimal Assumptions: We design solutions with the fewest assumptions to ensure robustness.

  • Efficiency: Our focus is on straightforward problem-solving, avoiding unnecessary layers and complexity.

Balancing Simplicity and Functionality

While prioritizing simplicity, we carefully balance it with essential functionality:

  • Avoiding Complexity: We actively prevent feature creep and over-engineering.

  • Future-Proofing: Our designs consider maintainability, extensibility, and reusability.

Practical Application

Here's how we apply these principles in Cortensor:

  1. Modular Architecture: Enables easy updates and scalability.

  2. Streamlined Codebase: Focuses on core functionalities, enhancing performance and reliability.

  3. Intuitive User Interface: Ensures ease of use for both developers and end-users.

  4. Efficient Resource Utilization: Optimizes network and computational resources.

Conclusion

By adhering to KISS, YAGNI, and Occam's Razor, Cortensor maintains a lean, efficient, and scalable platform. This approach not only ensures current effectiveness but also facilitates future growth and adaptability in the rapidly evolving field of decentralized AI inference.

PreviousTechnical ArchitectureNextNode Roles

Last updated 7 months ago