As machines continue to exceed human performance in a range of tasks, it is natural to ask how we might think about human intelligence in a future populated by super intelligent machines. One way to do this to think about the unique computational problems posed by human lives, and in particular by our finite computational resources and finite lifespan. Thinking in these terms highlights two problems: making efficient use of our cognitive resources, and being able to learn from limited amounts of data. It also sets up a third problem: solving computational problems beyond the scale of any one individual. I will argue that these three problems pick out the key characteristics of human intelligence, and highlight some recent progress in understanding how human minds solve them.
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