the word embeddings of different countries and their capitals you can see that the difference vectors are all quite parallel alright so the vector from China to Beijing and Russia to Moscow they're almost parallel so it means that the relationships captured between the aspera the words are easily lay you can translate these relationships easily to like another capital and you basically have to translate the country by the same translation vector so so it's geometrically very consistent and you've also seen earlier about how DC Gann was