Zhavoronkov Alex
Insilico Medicine, Hong Kong Science and Technology Park, Hong Kong.
Oncoscience. 2022 Dec 21;9:82-84. doi: 10.18632/oncoscience.571. eCollection 2022.
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.
利用Transformer神经网络和其他深度学习架构的大语言模型在许多以前只有人类智能才能完成的任务中取得了前所未有的成果。在本文中,我们与OpenAI开发的人工智能模型ChatGPT合作,在通常用于证明对上帝信仰合理性的帕斯卡赌注哲学论证的背景下,推测雷帕霉素的应用。针对“从帕斯卡赌注的角度,写出关于服用雷帕霉素为何可能比不服用更有益的详尽研究观点”这一问题,ChatGPT根据动物潜在寿命延长的临床前证据,提供了使用雷帕霉素的利弊。本文展示了ChatGPT产生复杂哲学论证的潜力,且雷帕霉素不应被用于任何标签外的用途。