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Tao Subnet Sharding
  • πŸ™ŒOverview
  • πŸ‘‹Introduction
    • Overview of Bittensor Protocol
    • What is sharding?
    • Introducing Tao Subnet Sharding
    • Solution to subnet sharding
    • Vision
    • Integration
    • AI & Blockchain Revolution
  • πŸ“ΊVideo Tutorial
    • Video Guide
  • πŸ‘Features
    • Fundamentals
      • Shard Segmentation
      • Parallel Processing
      • Specialization
      • Inter-Shard Communication
      • Rewards and Incentives
      • Robust Consensus Mechanisms
      • Flexibility and Scalability
      • Continuous Improvement
      • Security
  • πŸ—ΊοΈRoadmap
    • Phases
      • Phase 1: Research and Development
      • Phase 2: Design and Planning
      • Phase 3: Implementation and Testing
      • Phase 4: Deployment and Integration
      • Phase 5: Optimization and Expansion
  • ❓FAQ
    • Frequently Asked Questions
  • πŸ™Guidelines & Socials
    • Community
    • Terms of Service
    • Privacy Policy
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  1. Introduction

Overview of Bittensor Protocol

The Bittensor Protocol stands as a pioneering force in the blockchain, focused on the development of decentralized intelligence networks. At its core, Bittensor facilitates the creation of decentralized subnets, functioning as incentive-based markets where participants, known as subnet miners, contribute their expertise to produce high-quality decentralized intelligence. These contributions are then rewarded with TAO tokens, fostering a competitive yet collaborative environment where the best ideas and responses flourish.

One of the key features of the Bittensor Protocol is its emphasis on incentivizing high-quality contributions within decentralized networks. Through a robust reward mechanism, participants are encouraged to continuously improve the network's capabilities while upholding strict quality standards. This commitment to excellence has positioned Bittensor as a frontrunner in the development of decentralized intelligence networks, driving innovation and advancement within the blockchain ecosystem.

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Last updated 1 year ago

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