It doesn't. The claim they're making is that instead of learning labels from bazillion similar example, they use bazillion of diverse examples to train a more g

It doesn't. The claim they're making is that instead of learning labels from bazillion similar example, they use bazillion of diverse examples to train a more generic classifier capable of "learning" correct labels from just a few (i.e. 5) examples. They compare it with human performance claiming their algorithm is better, but it's kind of a bullshit claim, since people weren't allowed to use scratch paper or see previous examples. So instead of a pattern-matching test they turned this into a memory test. Typical of current AI research. Those people will do anything to be able to claim "better than human" performance.