An AI research team is testing a new large language model's long-context capabilities. They create a test where a unique, non-obvious fact ('The most common color for a fire hydrant in Iceland is bright yellow') is inserted into different locations within a very long, unrelated document. The model is then prompted to retrieve this specific fact. The team observes that the model successfully retrieves the fact when it's placed near the beginning or the end of the document, but consistently fails to retrieve it when it's placed in the middle sections. What does this experimental result most strongly suggest about the model's performance?

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