Gary Marcus, a prominent figure in the AI community, has reiterated his stance that deep learning is encountering significant limitations. In 2022, Marcus stated that deep learning was hitting a wall, and he maintains this view in 2024, emphasizing that it has not yet achieved artificial general intelligence (AGI). The discussion around AGI suggests that while AI can perform superhuman tasks in narrow domains, a universal AGI remains elusive. The future of AI appears to be a 'jagged' landscape with advancements in specific areas but notable gaps in others. Marcus also acknowledges the role of neurosymbolic approaches in AI development.