ValidNet
  • Overview
    • 🚨The Centralization Crisis in AI
    • 💡Mission & Vision
    • 🔋Rethinking AI Trust: The Role of Decentralized Validation
  • introduction
    • 🎁Trusted AI Pillars
      • Lightweight Validator Nodes
      • Memory Anchors: Modular Validation Logic
      • Proof-of-Validation (PoV) Consensus
      • Dual-Layer Incentives and Slashing
      • On-Chain Transparency and Traceability
      • Anchor Builder Toolkit
    • ⚒️Core Workflow Overview
  • Tokenomics
    • 💰Tokenomics
      • Utility
  • Roadmap
    • ⛳Roadmap
  • FAQ
    • ❓FAQ
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  1. introduction
  2. Trusted AI Pillars

On-Chain Transparency and Traceability

On ValidNet, every validation process is recorded immutably on-chain, ensuring that all AI output verifications are fully transparent and auditable by anyone. From the input data hash and the Memory Anchor used, to validator identities, verdicts, and timestamps—each element of the task lifecycle is stored on the blockchain. This guarantees that every result is not only reproducible but also traceable to its origin, logic, and participants. By eliminating black-box processes and embedding proof directly into the protocol, ValidNet transforms AI validation into a trustless, verifiable, and publicly accountable system.

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Last updated 1 month ago

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