Vectors are over, hashes are the future of AI

Artificial intelligence has been built on the back of vector arithmetic. Recent advances show for certain AI applications this can actually be drastically outperformed (memory, speed, etc) by other binary representations (such as neural hashes) without significant performance trade off. Once you work with things like neural hashes, it becomes apparent many areas of AI can move away from vectors to hash based structures and trigger an enormous speed up in AI advancement. This article is a brief introduction in to the thinking behind this and why this may well end up being an enormous shift. A hash function is any function that can be used to map data of arbitrary size to fixed-size values.