Achieving functional parity between AI systems and humans requires key breakthroughs such as understanding critical tasks humans perform that AI cannot, the necessity of physical embodiment and multimodal inputs for cognition, efficient representation of memories to influence behavior, incorporating new information into world models, the origin and importance of theory of mind for adversarial robustness, and hierarchical self-modeling for effective planning and subjective conscious experience. It is crucial to comprehend the differences and similarities between human and AI cognition at a mechanistic level, considering the messy and constrained nature of biological systems and the potential for step-change advances in engineering. By viewing AI developments through the lens of historical cognitive breakthroughs, we can anticipate future advancements beyond the limits of current understanding.

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