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Data Flow and Consensus Interplay

  1. Data Generation (PoT Layer) PoT validators produce performance data for AI nodes to analyze.

  2. Data Analysis (AI Nodes) AI models interpret this data, identifying reliable validators and anomalies.

  3. Trust Score Submission (AI to PoS) In Effector mode, AI nodes propose updated trust scores to PoS validators.

  4. On-Chain Recording (PoS Validators) PoS validators finalize trust score updates on-chain, backed by economic guarantees.

  5. Adaptive Recalibration (PoT Layer) Trust scores guide PoT validator influence. Good actors gain influence; malicious ones lose ground.

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