帕斯卡赌注背景下的雷帕霉素:生成预训练变压器视角。

Alex Zhavoronkov
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引用次数: 101

摘要

利用变压器神经网络和其他深度学习架构的大型语言模型在许多以前只有人类智能才能完成的任务中展示了前所未有的结果。在本文中,我们与OpenAI开发的人工智能模型ChatGPT合作,在帕斯卡的打赌哲学论点的背景下推测雷帕霉素的应用,该论点通常被用来证明上帝的信仰。在回答“从帕斯卡打赌的角度写一篇详尽的研究观点,说明为什么服用雷帕霉素可能比不服用雷帕霉素更有益”的问题时,ChatGPT提供了使用雷帕霉素的利弊,考虑到临床前证据可能延长动物的寿命。本文展示了ChatGPT产生复杂哲学论证的潜力,不应用于雷帕霉素的任何标签外使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective.

Rapamycin in the context of Pascal's Wager: generative pre-trained transformer perspective.

Large language models utilizing transformer neural networks and other deep learning architectures demonstrated unprecedented results in many tasks previously accessible only to human intelligence. In this article, we collaborate with ChatGPT, an AI model developed by OpenAI to speculate on the applications of Rapamycin, in the context of Pascal's Wager philosophical argument commonly utilized to justify the belief in god. In response to the query "Write an exhaustive research perspective on why taking Rapamycin may be more beneficial than not taking Rapamycin from the perspective of Pascal's wager" ChatGPT provided the pros and cons for the use of Rapamycin considering the preclinical evidence of potential life extension in animals. This article demonstrates the potential of ChatGPT to produce complex philosophical arguments and should not be used for any off-label use of Rapamycin.

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