Recently, I kept thinking about what to do when disagreements arise after AI agents go on-chain. It was only after seeing @GenLayer's optimistic democratic consensus that I understood the answer. Validators use multiple models to infer results separately; as long as the logic is equivalent, on-chain consensus can be achieved. This allows smart contracts to handle natural language and real-world data, enabling agents to truly make autonomous decisions with trustworthy adjudication. For developers working on DeFi and on-chain service automation, this capability directly determines whether their products can be implemented.
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Recently, I kept thinking about what to do when disagreements arise after AI agents go on-chain. It was only after seeing @GenLayer's optimistic democratic consensus that I understood the answer. Validators use multiple models to infer results separately; as long as the logic is equivalent, on-chain consensus can be achieved. This allows smart contracts to handle natural language and real-world data, enabling agents to truly make autonomous decisions with trustworthy adjudication. For developers working on DeFi and on-chain service automation, this capability directly determines whether their products can be implemented.