EVO-AI
  • 🚀EVOAI AGENT Whitepaper
    • 💓Abstract
  • 1.Project Vision
    • ❓1.1The Problem
    • ♓1.2 The Solution
    • 💓1.3Why Now?
  • 2.Technology and Architecture
    • ♉Core Components
  • 3.Tokenomics
    • ♦️3.1 $EVO-AI Token
    • 😳3.2 Allocation
    • 🫁3.3 Token Utility
  • 4. Roadmap
    • Q1 2025: User Growth & Framework Stress Testing
    • 🚀Q2 2025: Expansion of the AI Agent Ecosystem
    • Q3 2025: Token Generation Event (TGE) & Exchange Listings
    • Q4 2025: Enterprise Adoption & Ecosystem Leadership
  • 5. Strategic Partners
    • 🛻Strategic Partners
  • 6.Team & Advisors
    • 🧑‍🤝‍🧑Team & Advisors
  • 8. Conclusion
    • 🚩Strategic Enhancement:
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  1. 1.Project Vision

1.1The Problem

Traditional AI systems face significant challenges:

1)Centralization: Dominated by a few tech giants, limiting innovation and accessibility.

2) High Costs: Training and deploying AI models require substantial computational resources.

3) Data Privacy Concerns: Centralized data storage raises risks of breaches and misuse.

4) Lack of Interoperability: AI models operate in silos, hindering collaboration and scalability

PreviousAbstractNext1.2 The Solution

Last updated 1 month ago

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