When asked about wealth inequality, few can say they clearly understand how severe this gap is. For a more precise visual, consider that Elon Musk, reportedly the richest man on Earth, has a network that exceeds the gross domestic products (GDPs) of countries like Portugal, Pakistan and Finland. According to the UN, even a small fraction of his wealth, $6 billion, would save at the very least 42 million people who are on the brink of starvation. Although Musk is just one example, his wealth indicates one thing, a very extreme wealth gap that currently exists, leading many to wonder about the reasons for this. For one, the aphorism "the rich get richer, and the poor get poorer" often comes to mind.

As we come to the end of 2021, it seems fitting to provide an update on our AI development over the past few months and also look forward to what is to come in the early stages of 2022. The majority of 2021 has been about building the platform to host DynaSets, as well as the Beta of DynaSets themselves. While all of this has been going on, our AI team has been working hard preparing data pipelines, scraping years worth of data from all over the internet, designing tools to clean that data. The data then prepared for consumption by AI Algorithms and the training of our first AI market predictors. While the Beta launching this week will use only offline signal generating algorithms which will be utilized by human traders, the data that is generated during these two months of testing will be invaluable in the training of the more advanced AI's set to be autonomously deployed as part of the public launch of DynaSets in early 2022.