How close are we to developing artificial general intelligence or AGI - AI that can perform any intellectual task a human can? In this episode, we discuss a new framework for classifying and benchmarking progress towards AGI proposed by researchers at Google DeepMind. The core idea is to evaluate AI systems based on their performance across a diverse range of real-world cognitive tasks, understand how general versus narrow current AI capabilities are, and track general advancements over time.
The researchers introduce "Levels of AGI" to categorize AI from non-AI to superhuman abilities based on performance quality and generality assessments. They identify principles for defining and testing AGI capabilities, arguing that standardized benchmarks are needed to measure where AI systems fall on the levels objectively. We chat about how this AGI roadmap enables calibrated progress tracking and risk identification so that AI development can be oriented toward beneficial ends. Please tune in to learn more about the proposed levels of AGI and how they give us a framework to shape the responsible development of intelligent machines.