AGI-22 Highlights the Progress in Developing Artificial General Intelligence

I recently attended the 15th annual conference on Artificial Generally Intelligence (AGI-22) that was held in Seattle this August, in an attempt to familiarize myself with new developments that could lead to the eventual creation of an Artificial General Intelligence (AGI). An AGI is a type of advanced AI that can generalize across multiple domains and is not narrow in scope. Examples of narrow AI include an autonomous vehicle, a chatbot, a chess bot, or any other AI which is designed for a single purpose. An AGI in comparison would be able to flexibly alternate between any of the above or any other field of expertise. It consists of a speculative type of AI that would take advantage of nascent algorithms such as transfer learning, and evolutionary learning, while also exploiting legacy algorithms such as deep reinforcement learning.