On the Measure of Intelligence

In this episode of The Turing Talks, we explore a groundbreaking approach to understanding intelligence in artificial intelligence (AI) systems. We discuss how intelligence differs from mere skill, emphasizing the need for an anthropocentric perspective that evaluates AI against human-like general intelligence. The conversation includes a new framework for assessing intelligence based on Algorithmic Information Theory (AIT), focusing on the efficiency of skill acquisition and the challenge of generalization. We also introduce the Abstraction and Reasoning Corpus (ARC) as a benchmark for measuring AI’s capacity to handle novel tasks, while addressing the limitations of current evaluation methods and the need for further research.