Watching the evolution of various on-chain systems over the years, I noticed a subtle yet critical turning point—the protocol started to ask a new question: even if the conditions are met, is it really time to execute now?
The previous logic was particularly simple and straightforward. When the price was right, the time was right, and the wallet balance was sufficient, the system would execute. It compressed the entire world into a bunch of static conditions and then checked them one by one. But once multi-chain parallelism, asynchronous states, and complex strategies began to layer upon each other, the "condition triggers execution" approach started to show its flaws.
The real issue lies not in the action taken, but in what happens before the execution.
I have reviewed quite a few real-world protocol cases, and a common situation is: the contract runs completely according to the rules, yet the results inexplicably deviate. It is only after further investigation that I understand – the rules themselves are fine, but the premises on which these rules depend have long changed, and the system remains oblivious.
For example, some assumptions judge that the liquidity distribution remains stable, but cross-chain migration has already begun; some parameters are based on low market correlation, but now they are highly correlated; some strategies benefit from historical data, but the composition of participants has already changed. This is not a data error, but the system is still operating under "outdated premises".
So what on-chain systems truly lack is not more rules, but the ability to verify before executing: do the premises for these executions still hold?
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Watching the evolution of various on-chain systems over the years, I noticed a subtle yet critical turning point—the protocol started to ask a new question: even if the conditions are met, is it really time to execute now?
The previous logic was particularly simple and straightforward. When the price was right, the time was right, and the wallet balance was sufficient, the system would execute. It compressed the entire world into a bunch of static conditions and then checked them one by one. But once multi-chain parallelism, asynchronous states, and complex strategies began to layer upon each other, the "condition triggers execution" approach started to show its flaws.
The real issue lies not in the action taken, but in what happens before the execution.
I have reviewed quite a few real-world protocol cases, and a common situation is: the contract runs completely according to the rules, yet the results inexplicably deviate. It is only after further investigation that I understand – the rules themselves are fine, but the premises on which these rules depend have long changed, and the system remains oblivious.
For example, some assumptions judge that the liquidity distribution remains stable, but cross-chain migration has already begun; some parameters are based on low market correlation, but now they are highly correlated; some strategies benefit from historical data, but the composition of participants has already changed. This is not a data error, but the system is still operating under "outdated premises".
So what on-chain systems truly lack is not more rules, but the ability to verify before executing: do the premises for these executions still hold?