Feasibility 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.