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In pursuit of a global maximum, reaching minima is often better than reaching a local maxima. Local maxima make us risk averse.

While pursuing a global maximum you may find the function itself is changing. Reaching the global maximum of one function may not be the true goal.

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Best to assume you're never at the global maximum while still operating as if it exists somewhere ... it's just really hard to do.

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