[justsomehnguy]

> Interpreting an image in the concept of a machine baffles me, it doesn’t have eyes

Your mistake here is thinking what machine has understanding of anything. It doesn't. But if you know how human learning works, what is a compression and what is a lossy compression then it is quite easy to understand.

Machine is fed with tons of images with word references what is in the image. Then it finds what is similar in the images of a similar objects, ie works just like a compression algo, except it doesn't store the exact matches but relationships of some markers it finds in the images. That's why it doesn't and doesn't need to understand where is sofa and what is a sofa, it just have a relationship between something what has a relationship to the word 'sofa' and relationship with something what we, human describe as 'position'.