Optimizing humans for machine-like performance

Book Excerpt: The Numerati by Stephen Baker

Takriti confesses that he’s nervous. His assignment is to translate the complexity of highly intelligent knowledge workers into the same types of equations and algorithms that are used to fine-tune shipping or predict the life span and production of a mainframe computer. With time, he and his team hope to build detailed models for each worker, each one complete with a person’s quirks, daily commute, and allies, perhaps even enemies. These models might one day include whether the workers eat beef or pork, how seriously they take the Sabbath, whether a bee sting or a peanut sauce could lay them low. No doubt, some of them thrive even in the filthy air in Beijing or Mexico City, while others wheeze. If so, the models would eventually include this detail, among countless others. The idea is to build richly textured models that behave in their symbolic realm just like their flesh-and-blood counterparts. Then planners can manipulate them, looking for the most efficient combinations.

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