First, we begin with a description of the technical architecture of ChatGPT and how it differs from other large scale artificial intelligence language models. From there, we define the current use cases of ChatGPT, followed by an analysis of some of the current limitations of ChatGPT. In particular, we look at the inability of ChatGPT to be creative, issues of perpetuating biases, and possibility of identification. Finally, we look at some of the likely key impacts of ChatGPT, including copyright considerations and economic ramifications. As much as possible, this analysis is done from a non- technical standpoint, and seeks to show how AI is beginning to connect with daily life.