Also you hear that example over and over again because you can't get other ones to work reliably with Word2Vec; you'd have thought you could train a good classifier for color words or nouns or something like that if it worked but actually you can't.

Because it could not tell the difference between word senses I think Word2Vec introduced as many false positives as true positive, BERT was the revolution we needed.

I use similar embedding models for classification and it is great to see improvements in this space.