Despite artificial neural networks achieving human-level feats in reasoning and creativity, neuroscientists argue that fundamental gaps in understanding the brain persist. This article explores the unanswered questions—from synaptic plasticity to cortical architecture—that challenge the notion that AI has 'solved' intelligence, urging a deeper dive into biological computation.