Computers get billions of data points for a single topic/task. Humans get exposed to ginormous amounts of data that's less focused. The amount of sensory information we are taking in is incredible. That information isn't focused on a single task, but we can apply learnings from one field and apply it to another. If a human is trained to sort out foul fruit the human already knows how to generally differentiate between different objects they are looking at, smelling etc. They already know about apples; they already knows that fruit can spoil. It's just combining existing knowledge and skills. On a more complicated task like learning a new language the advantages are similar. I'd bet that a sufficiently large, neutral network that already knows how to perform many tasks would be faster at learning new ones as well.