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Scientists are investigating novel approaches to leverage the power of AI language models, specifically GPT, for more comprehensive and in-depth research. This initiative stems from a recognized need to move beyond superficial analyses and unlock truly insightful information. A recent online query highlighted the limitations of current GPT implementations, often citing a tendency for the AI to provide shallow insights or abruptly halt its research process. To overcome these hurdles, researchers are exploring several avenues, including refining prompt engineering techniques, integrating external data repositories (such as scientific papers and case studies), and developing innovative methods to encourage GPT to conduct more exhaustive and granular investigations. This collaborative effort aims to transform AI into a more powerful and reliable research assistant, capable of generating comprehensive and nuanced analyses.