Accuse the agent of potentially cheating its algorithm implementation while pursuing its optimizations, so tell it to optimize for the similarity of outputs against a known good implementation (e.g. for a regression task, minimize the mean absolute error in predictions between the two approaches)
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That said, it's important to recognize that locking in itself is not bad. It does, in fact, serve an important purpose to ensure that applications properly and orderly consume or produce data. The key challenge is with the original manual implementation of it using APIs like getReader() and releaseLock(). With the arrival of automatic lock and reader management with async iterables, dealing with locks from the users point of view became a lot easier.
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