Measuring progress towards AGI

Progress towards AGI (Artificial General Intelligence) is difficult to measure concretely. AGI aims to achieve the cognitive capabilities of humans, which encompass a wide range of tasks. While specific tasks can be measured more easily, measuring the generality of AGI is more challenging. It requires a comprehensive set of tests that cover various cognitive tasks humans can perform. Human performance serves as a benchmark, and an AI system must match or exceed human performance across different tasks. When an AI system consistently performs at or above human levels across a broad range of cognitive tasks, it can be considered as an AGI candidate.