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chart-networkFeasibility and Challenges

Implementing AI faces hurdles such as:

  • Large-scale data processing

  • High computational costs

  • Latency limitations

  • L1/EVM constraints

  • Data quality

  • AI model security

  • Reliability

  • Balancing transparency with competitive edge

Especially challenging is performing real-time AI inference on-chain, which may require hybrid on-chain/off-chain architectures. Allowing AI Agents to create Vaults and power the AI Forge also demands strong governance, risk control, and robust security measures.

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