By now most people who deal with machine learning or natural language processing in some way are familiar with the King - Man + Woman = Queen example from word2vec. Here, Schmidt brings up a similarly relatable example: What word is between duck and soup? What words sit between the middle point and those extremes? Iterating these chains brings up really cool patterns.
One of the amazing things of working at a large corporation like Apple is that a seeminlgy small or inconsequential task can end up affecting the way millions of people interact with the world. In this post, Guzman tells the story of her internship at Apple ten years ago, and how she and her mentor changed language forever. The way we communicate with each other is now permeated with their ideas, forever. Emoji are essential to language today. This is the story of the couple of people at Apple who made the first icons on our phones.