{"title":"Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI","authors":"Gerardo Adesso","doi":"arxiv-2308.12400","DOIUrl":null,"url":null,"abstract":"This paper presents a novel approach to scientific discovery using an\nartificial intelligence (AI) environment known as ChatGPT, developed by OpenAI.\nThis is the first paper entirely generated with outputs from ChatGPT. We\ndemonstrate how ChatGPT can be instructed through a gamification environment to\ndefine and benchmark hypothetical physical theories. Through this environment,\nChatGPT successfully simulates the creation of a new improved model, called\nGPT$^4$, which combines the concepts of GPT in AI (generative pretrained\ntransformer) and GPT in physics (generalized probabilistic theory). We show\nthat GPT$^4$ can use its built-in mathematical and statistical capabilities to\nsimulate and analyze physical laws and phenomena. As a demonstration of its\nlanguage capabilities, GPT$^4$ also generates a limerick about itself. Overall,\nour results demonstrate the promising potential for human-AI collaboration in\nscientific discovery, as well as the importance of designing systems that\neffectively integrate AI's capabilities with human intelligence.","PeriodicalId":501310,"journal":{"name":"arXiv - CS - Other Computer Science","volume":"33 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Other Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2308.12400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a novel approach to scientific discovery using an
artificial intelligence (AI) environment known as ChatGPT, developed by OpenAI.
This is the first paper entirely generated with outputs from ChatGPT. We
demonstrate how ChatGPT can be instructed through a gamification environment to
define and benchmark hypothetical physical theories. Through this environment,
ChatGPT successfully simulates the creation of a new improved model, called
GPT$^4$, which combines the concepts of GPT in AI (generative pretrained
transformer) and GPT in physics (generalized probabilistic theory). We show
that GPT$^4$ can use its built-in mathematical and statistical capabilities to
simulate and analyze physical laws and phenomena. As a demonstration of its
language capabilities, GPT$^4$ also generates a limerick about itself. Overall,
our results demonstrate the promising potential for human-AI collaboration in
scientific discovery, as well as the importance of designing systems that
effectively integrate AI's capabilities with human intelligence.