On the Measure of Intelligence

François Chollet's 'On the Measure of Intelligence' challenges the conventional understanding of artificial intelligence by focusing on skill acquisition efficiency rather than mere skill output.

The book argues that true intelligence lies in the ability to learn and adapt to new tasks efficiently, using limited data.

Chollet introduces the concept of 'generalization' as a key aspect of intelligence, contrasting it with the rote memorization often seen in current AI systems.

He proposes the Abstraction and Reasoning Corpus (ARC) challenge as a benchmark for measuring this type of intelligence.

The book's central theme is the importance of understanding the underlying processes of learning and adaptation in AI, rather than solely focusing on performance metrics.