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Position: Hippocampal Explicit Memory Is the Cornerstone for AGI

Zac Boring June 11, 2026 1 min read
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Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, raising expectations for Artificial General Intelligence (AGI). This position paper argues that integrating explicit memory is the cornerstone for advancing LLMs toward AGI. The key reason is that the underlying learning mechanism of LLMs is highly analogous to human implicit memory. However, higher-order cognitive functions necessary for AGI, such as long-

By Sangjun Park

Read the full article at ArXiv cs.AI →