Measuring Intelligence Effectively

Joscha discusses the limitations of traditional intelligence tests, emphasizing their inapplicability to animals and machines. He proposes a new framework for measuring intelligence based on a system's ability to build models and adapt to new data. By focusing on the performance before and after learning, a clearer understanding of intelligence can emerge, moving beyond mere imitation to true problem-solving capabilities.