#FedDovishNow Off-chain Logic Integration Solution $LA
Problem: The most powerful AI models in the world, used for everything from credit scoring in the $7 trillion lending market to complex game logic, are too resource-intensive to run directly on the blockchain. This forces decentralized applications to rely on centralized off-chain models, creating an opaque system where users cannot verify that the AI is functioning correctly or fairly.
Solution: Optimistic Machine Learning (opML), a new paradigm enabled by verifiable computing @Lagrange Official. It operates in three stages:
1. Optimistic Execution: The AI model operates off-chain. Its output (e.g., "credit score 750" or "this game action is permissible") is sent to a smart contract on-chain and is *optimistically* assumed to be correct. In over 99.9% of cases, the process ends here, providing instant results.
2. Dispute Period: For a short period, anyone can challenge the validity of the AI's result.
