The advancements in AI are coming at a staggering pace. Current AI responds to questions based on aggregated machine learning and inferences acquired from training data across the web. This next generation of AI is being trained not only to learn from mistakes, but hypothesize responses based on weighting the probable outcomes of mashing together disparate sources of data to create likelihood of accuracy while looking at past performance to create a decision for moving forward. This model comes close to AGI, or artificial general intelligence, and it is truly fascinating. AGI has lots of people scared, but more immediately, this is an opportunity.