Baboon actually. This year, The Atlantic compared similarities between these thoughtful animals and how Google’s search system works.
“Google’s machine learning methods bear a familial resemblance to the baboon processing of language.
After a mere six weeks of training, the baboons could tell an English word they’d never seen before (e.g. hope) from a non-English word scramble (e.g. tekl) 75 percent of the time, much greater than chance. But, of course, they couldn’t actually read the words and know what they meant… They did not even know what the symbols they were choosing meant, only that some selections led to food while others did not.” Read more at The Atlantic.