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Eternl.ai
  • 1. Overview & Propositions
    • Future of Gaming
    • AI Game Developer Challenges
  • 2. Ecosystem
    • Scaling of Game Hub
    • Ecosystem Moat
  • 3. Ability SDKs
    • Intelligent Agent
    • Dynamic World
  • 4. Gaming AGI
    • Foundation Models
    • RL Model Library
    • Publication & Patent
  • 5. Compute Network
    • Architecture
    • Breakthrough
  • 6. Gamer Rollup
    • Tokenomics
  • 7. AI-Native Game Concepts
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  1. 2. Ecosystem

Ecosystem Moat

PreviousScaling of Game HubNext3. Ability SDKs

Last updated 1 year ago

Eternl.ai aims to within a year, establishing a robust moat and virtuous growth cycle enabled by the deeply integrated ecosystem.

As our ecosystem has more games, it has a:

  • More Omnipotent Game AGI: compatible with more games across genres and gameplay design.

  • More Retentive Game Hub: providing a larger platform for AI assets and social network to flourish.

  • More Cost-effective Computing Network: offering more reliable and cost-efficient inferencing.

As our ecosystem has more data, it has a:

  • More Powerful Gaming AGI: improved by more fine-tuning and reverse reinforcement learning.

  • More Engaging Game Hub: offering higher quality AI games with more immersive experiences.

As our ecosystem has better AGI, better games, and more players,

  • Players can engage in hundreds of AI games across genres, enjoying diversified and reimagined experiences as well as fostering their digital identities, AI assets, and social networks.

  • Developers can build quality AI games seamlessly and affordably and monetize from the largest AI player community via diversified methods of player top-ups, tokens, game NFTs, and AI assets.

scale our Game Hub