An introduction to the OpenCog Hyperon framework for Artificiai General Intelligence is presented. Hyperon is a new, mostly from-the-ground-up rewrite/redesign of the OpenCog AGI framework, based on similar conceptual and cognitive principles to the previous OpenCog version, but incorporating a variety of new ideas at the mathematical, software architecture and AI-algorithm level. This review lightly summarizes: 1) some of the history behind OpenCog and Hyperon, 2) the core structures and processes underlying Hyperon as a software system, 3) the integration of this software system with the SingularityNET ecosystem's decentralized infrastructure, 4) the cognitive model(s) being experimentally pursued within Hyperon on the hopeful path to advanced AGI, 5) the prospects seen for advanced aspects like reflective self-modification and self-improvement of the codebase, 6) the tentative development roadmap and various challenges expected to be faced, 7) the thinking of the Hyperon team regarding how to guide this sort of work in a beneficial direction ... and gives links and references for readers who wish to delve further into any of these aspects.

Today, we'd like to share a special update, a deep dive into the AGI progress made by SingularityNET in 2022, and an overview of what makes OpenCog Hyperon -- SingularityNET's approach to an AGI framework -- different from other AI systems. As AI systems demonstrate greater practical functionality each year, it becomes increasingly apparent that the breakthrough from narrow AI to Artificial General Intelligence is near. However, there is still no agreement among researchers about how the breakthrough will be made. While deep neural networks have demonstrated impressive capabilities for impersonating intelligence and producing intelligent-looking artifacts, their complete lack of commonsense understanding and real-world symbol grounding makes it appear unlikely that they can serve as the core component of a true AGI system. It's possible that computational neuroscience simulations will make huge strides, or that AGI will spontaneously emerge from self-organizing networks like the SingularityNET Platform without coordinated planning -- but it seems more likely that some new innovation in cognitive architecture and/or learning and reasoning algorithms will be needed alongside these.

The ultimate vision of artificial intelligence are systems that can handle the wide range of cognitive tasks that humans can. The idea of a single, general intelligence is referred to as Artificial General Intelligence (AGI), which encopmasses the idea of a single, generally intelligent system that can act and think much like humans. However, we have not yet achieved this concept of the generally intelligent system and as such, current AI applications are only capable of narrow applications of AI such as recognition systems, hyperpersonaliztion tools and recommendation systems, and even autonomous vehicles. This raises the question: Is AGI really around the corner, or are we chasing an elusive goal that we may never realize? Dr. Ben Goertzel CEO & Founder of the SingularityNET Foundation is particularly visible and vocal on his thoughts on Artificial Intelligence, AGI, and where research and industry are in regards to AGI. Speaking at the (Virtual) OpenCogCon event this week, Dr. Goertzel is one of the world's foremost experts in Artificial General Intelligence.