Your 1M+ Context Window LLM Is Less Powerful Than YouThink

Recent analyses suggest that the primary limitation of large language models (LLMs) is not merely the size of their context window but the efficiency of their working memory. Enhancing working memory capabilities could significantly improve LLM performance, as current models struggle to effectively utilize extended context despite having large theoretical window sizes, indicating that memory management and retrieval mechanisms are critical bottlenecks in advancing AI language understanding.