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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On this page
  • 1. Query Initiation
  • 2. DePIN Resource Allocation
  • 3. Execution & Validation
  • 4. Output Delivery & Monetization
  1. introduction

Core Workflow Overview

The end-to-end process of ValidNet involves four seamless stages, leveraging AI Anchors, DePIN, and blockchain to deliver personalized, verifiable, and efficient AI outputs:

1. Query Initiation

Process:

  • Users submit requests through ValidNet dApps, SDK, or directly to AI Anchors.

  • AI Anchors parse the user’s intent and requirements, including output style, domain-specific rules, compute needs, and privacy preferences.

Technical Details:

  • Anchors utilize natural language processing (NLP) to extract query parameters, converting them into a standardized JSON-based rule set.

  • Users can specify task urgency, cost budgets, or preferred node locations, stored on-chain for transparency.

2. DePIN Resource Allocation

Process:

AI Anchors interact with the ValidNet decentralized compute marketplace to select optimal DePIN nodes for task execution, based on:

  • Cost: Real-time bidding mechanism, inspired by Akash Network’s auction model, ensures cost-effective node selection.

  • Capability: Hardware attestation via Trusted Execution Environment (TEE) verifies node specs.

  • Reputation: On-chain performance history, including past validation accuracy and uptime, determines node reliability.

Technical Details:

  • Smart contracts match Anchor requirements with node profiles, prioritizing nodes with high reputation scores and low latency.

  • Nodes stake VAT tokens to participate, ensuring commitment and reducing malicious behavior.

3. Execution & Validation

Process:

Parallel Processing: The query is distributed to at least three DePIN nodes for redundancy, ensuring robust execution and fault tolerance.

Output Generation: Each node processes the query using multi-model AI, producing an inference output.

Cryptographic Validation: Nodes generate a hash-based commitment to prove correct processing, verified via multi-party computation (MPC) for integrity.

Proof-of-Validation (PoV) Consensus:

  • Validators (a subset of DePIN nodes) compare outputs and commitments using a Byzantine Fault Tolerant (BFT) consensus mechanism.

  • Matching outputs are finalized on-chain, marked as “verified.”

  • Discrepancies trigger slashing of staked VAT tokens from malicious nodes, with tasks re-routed to new nodes.

Technical Details:

  • MPC ensures that nodes cannot tamper with outputs without being detected, thereby achieving distributed trust.

  • BFT consensus requires at least 2/3 node agreement, balancing speed and security.

  • On-chain reputation scores are updated based on validation success, incentivizing honest behavior.

4. Output Delivery & Monetization

Process:

Verified results are returned to the user via dApps or SDK, accompanied by a trust score.

Micro-payments in VAT tokens are automatically distributed via smart contracts:

  • DePIN node operators: 70% for compute and validation contributions.

  • Anchor NFT owners: 15% royalty for creating and sharing high-quality Anchors.

  • Protocol treasury: 15% to fund ecosystem growth.

Technical Details:

  • Payments are settled on Layer-2 Network to minimize gas fees and ensure scalability.

  • Users can monetize Anchors by listing them on the ValidNet marketplace, where community validation enhances their value.

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Last updated 1 month ago

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