This podcast episode explores various aspects of cognition, intelligence, and machine learning. It delves into the relationship between language and cognition, discussing how language acts as an operating system for the brain. The conversation also highlights the importance of concept visualization and mind mapping in organizing thoughts and stimulating creativity. The limitations and challenges of deep learning in AI research are explored, along with the need for tests that measure the generality of AI through skill acquisition. The significance of priors and core knowledge in human intelligence is discussed, as well as the design and nature of psychometric tests. The podcast concludes with a reflection on the nature of intelligence and the potential of machine intelligence to achieve human-like generalization.
