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.
I work in a tangential field to NLP, and constantly deal with experts in the field, whose explanations can go over my head. Any time I’m pointed to good resources on the topic, I get happy. This is one of them. Additionally, for a good intro to word vectors in general, and how to compute them, you can check out Understanding word vectors, a Jupyter notebook by Allison Parrish.