Position: Hippocampal Explicit Memory Is the Cornerstone for AGI
A new position paper argues that integrating explicit memory is crucial for advancing Large Language Models (LLMs) towards Artificial General Intelligence (AGI). The paper posits that LLMs' current learning mechanisms are akin to human implicit memory, which is insufficient for higher-order cognitive functions like strategic planning and symbolic reasoning. These functions, essential for AGI, are believed to rely heavily on hippocampal explicit memory, suggesting a need for computational systems that can replicate this type of memory. AI
IMPACT Suggests a new direction for AI research by highlighting the importance of explicit memory for achieving AGI.