An interesting way to think of AI:

It's just an insanely good compression algorithm. However, rather than being able to extract all of the images and text it is trained on word for word like we normally do with compressed files, it stores a highly generalized relationship between one set of words and another, and one set of pixels and another. So you can't pull an exact image like you can from a zip file, but you can pull the *idea* of a cat, the *style* of Wes Anderson, and the common patterns of a landscape. It's a compression of ideas and context as a collective, rather than the compression of the exact group of individual images that can be later recalled.

#AI_Unchained