Explore the fascinating intersection of neurobiology and artificial intelligence in this thought-provoking lecture by Professor Peter Robin Hiesinger. Delve into the complex question of how neural networks develop into intelligent brains, comparing biological and artificial systems. Examine the nature vs. nurture debate, the history of AI development, and the challenges of replicating human-level intelligence. Discover insights on topics such as random connectivity in neural networks, insect intelligence, deep learning breakthroughs, and the limitations of current AI models. Investigate the brain wiring problem, the role of genetics in neural development, and the concept of algorithmic information theory. Gain a deeper understanding of the complexities involved in creating artificial general intelligence and the ongoing quest to unravel the mysteries of biological and artificial neural networks.