Gradient Documentation
  • Introduction to Gradient
  • Preface
    • Purpose and Scope of This GitBook
    • How to Use This GitBook
  • Introduction to Liquid Staking
    • What is Liquid Staking?
    • The Importance of Liquid Staking in DeFi
    • Overview of Liquid Staking Tokens (LSTs)
  • The TAO Network and Bittensor
    • Introduction to the TAO Network
    • Bittensor: A Revolution in AI through Blockchain
    • Proof of Intelligence (PoI): A New Consensus Mechanism
    • Operation of the Bittensor Platform
    • Bittensor Use Cases
    • Advantages of Bittensor
  • The Gradient Protocol
    • Overview of Gradient
    • Key Features and Innovations
      • Incentivisation through GDT Tokens
      • The Role of GDT Token and swTAO
      • Seamless Staking Mechanism
      • Bridging the Worlds of Ethereum and the TAO Network
    • Tokenomics
    • Conclusion
  • Technical Architecture
    • Layer 1: The Blockchain
    • Security Protocols
    • Interoperability
    • Layer 2: The AI Integration Layer
    • Layer 3: User Interface and Interaction
    • Conclusion
  • Staking with Gradient
    • Introduction to Staking on Gradient
    • How to Stake wTAO on Gradient
    • Understanding swTAO: Benefits and Use Cases
    • Rewards and Incentives for Stakers
    • Conclusion
  • The TAO Bridge
    • Introduction to the TAO Bridge
    • How the Integrated Bridge Works
    • Use Cases and Advantages
    • Technical Implementation
    • Conclusion
  • Participating in the Gradient Ecosystem
    • Introduction
    • Becoming a Validator or Delegator
    • Governance and the Role of the GDT Token
    • Building on Gradient: Opportunities for Developers
    • Conclusion
  • Security and Risk Management
    • Introduction
    • Security Measures in Gradient
    • Understanding the Risks
    • Conclusion
  • Future Roadmap and Developments on the TAO Network
    • Introduction
    • Enhancements and Innovations
    • User Experience and Accessibility Improvements
    • Strengthening the TAO Network Connection
    • Vision for Gradient on the TAO Network
    • Conclusion
  • Getting Started with Gradient
    • Introduction
    • Setting Up Your Wallet for wTAO and GDT
    • Staking wTAO with Gradient
    • Accessing and Using the Tao Bridge
    • Participating in Governance and the Gradient Community
    • Conclusion
    • Glossary of Terms
    • Frequently Asked Questions (FAQ)
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  1. The TAO Network and Bittensor

Bittensor: A Revolution in AI through Blockchain

The open-source protocol, which powers a decentralized machine learning network, is called Bittensor and it runs on a network called the TAO Network. There, participants are able to collaboratively train machine learning models, with TAO tokens awarded to contributors for the information they provide. This is a profound innovation in AI research and development. Until now, the landscape of AI development and deployment is dominated by Big Tech firms such as Facebook, Apple, Google, Amazon and Microsoft that hold ownership of the dominant AI computing platforms. However, Bittensor has fundamentally changed the paradigm by harnessing the power of blockchains – AI research and development is no longer the sole pursuit of a privileged few – it belongs to the crowd.

Key Components of Bittensor:

  • Decentralization: Bittensor ensures that the development of AI doesn’t only happen behind a few corporate doors, but takes advantage of the talents of anyone who wants to participate, and the diverse perspectives of anyone who wants to participate.

  • Rewarding effort: thanks to the TAO token, contributors can earn real, redeemable monetary rewards for the effort required in training AI models.

  • Openness: An open-source protocol, Bittensor allows developers from all over the world to contribute and innovate, creating a robust ‘ecosystem’ of AI models and applications.

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