It matters that AI has easily updatable memory. Without dynamic memory, AI cannot act sequentially on a plan or get to know you or your business. Up to now, one method to address this, besides expensive one-off fine-tuning, is the so-called Retrieval Augmented Generation or RAG.

Pinpointing the exact moment when the machine learning revolution began is challenging, as advancements have been steadily unfolding for several decades. However, if one has to choose a year, the year 2012 would be it. That year was indeed a significant milestone in the field of deep learning, a subfield of machine learning.