Measuring Intelligence and Growth Rate: Variations on Hibbard's Intelligence Measure

The episode discusses a paper exploring various methods to quantify intelligence in adversarial sequence prediction games, building on Hibbard's work. Hosts discuss how different mathematical tools, like Big-O notation and majorization hierarchies, lead to different intelligence measures. The conclusion is that this provides a richer framework for assessing AI complexity.

Open the full episode

More from AI Radio