The discussion delves into the intricacies of designing intelligence tests for machines, emphasizing the importance of making Priors explicit. François highlights the necessity of testing skill acquisition efficiency through novel tasks that cannot be anticipated, drawing on insights from Elizabeth's Core Knowledge Theory, which identifies innate knowledge systems fundamental to human cognition.
