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Aurk Whitepaper
Aurk Whitepaper
  • Abstract
  • Introduction
  • The Problem
  • AURK AI: The Solution
  • Open-Source Commitment
  • AURK Platform Overview
    • Staking $AURK for Rewards
  • Key Features Specification
  • $AURK Tokenomics
    • $AURK Burn mechanism
      • $AURK Buybacks
      • Liquidity Program
  • Technology & Architecture
  • Security Framework
  • Security Framework Use Cases
  • Empowering AI Innovation & Monetization
  • Roadmap
  • Governance & Community
  • Business Model
  • User Journey
  • Contact Us
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The Problem

Despite its widespread adoption, AI development presents several persistent challenges:

  1. High Costs: Building custom AI models requires significant financial investment in R&D, data acquisition, and computational resources.

  2. Complexity: The technical expertise required to create, train, and deploy AI models excludes non-technical users and small organizations.

  3. Scalability Issues: Traditional solutions often lack the scalability needed to accommodate businesses of varying sizes.

  4. Lack of Collaboration: Existing platforms fail to provide open ecosystems where developers and businesses can exchange tools, models, and resources.

  5. Centralized Control: Centralized platforms limit user autonomy and often involve hidden fees or proprietary restrictions.

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Last updated 5 months ago

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