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  • Introduction & Executive Summary
  • Problems and How We Are Aiming to Solve Them
    • Static and Rigid Consensus Approaches
    • Limited Integration of Advanced Technologies
    • Challenges in Scalability and Inclusion
    • Ecosystem Fragmentation and Integration Hurdles
  • Technical Architecture Overview
    • PoS Validators: The Backbone of Stability
    • PoT Validators: Extensive Reach and Accessibility
    • AI Nodes: Intelligence, Adaptability, and Open Competition
    • Data Flow and Consensus Interplay
    • Benefits of the Integrated Architecture
  • Consensus Protocol Mechanics
  • Incentive Alignment
  • Security
  • Milestones
  • Conclusion
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Security

By dynamically updating trust scores and leveraging AI-driven anomaly detection:

  • Malicious proposals are quickly detected.

  • Validators lose trust score (and thus influence) for misbehavior.

  • Collusion and censorship become unprofitable.

  • Diverse AI models make it hard for adversaries to game the system.

This adaptive defense ensures a secure, trust-centric environment.

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Last updated 4 months ago