Affiliation:
1. School of Mathematical Sciences, University of Nottingham
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 , which
combines the concepts of GPT in AI (generative pretrained transformer)
and GPT in physics (generalized probabilistic theory). We show that
GPT 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 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.
Cited by
2 articles.
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