Towards The Ultimate Brain: Exploring Scientific Discovery with ChatGPT AI

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.

Towards the ultimate brain: Exploring scientific discovery with ChatGPT AI

“…This experiment pushes the boundaries of what can be achieved with these models and highlights the importance of continued research and development in this field (Srivastava et al. 2022; Stokel‐Walker 2023; Adesso 2023; Gil 2022).…”

“…The use of ChatGPT in this paper is a testament to the potential of advanced language models in facilitating human creativity and analytical thinking. This experiment pushes the boundaries of what can be achieved with these models and highlights the importance of continued research and development in this field (Srivastava et al 2022;Stokel-Walker 2023;Adesso 2023;Gil 2022).…”

“…2022) and offer a valuable contribution to the advancement of AI and scientific understanding. The ability of ChatGPT to generate coherent and sound text highlights the potential of human‐AI teaming in scientific discovery, and further underscores the need for ongoing research and development in this area (Stokel‐Walker 2023; Adesso 2023).…”

Toward the Uniform of Chemical Theory, Simulation, and Experiments in Metaverse Technology

“…Digitalization in chemistry implies the fading boundary among experiments, theory, and simulation and provides a direct link to AI technology. All the AI-treasured resources like GPT-4 50 and ChatGPT, 51 and the services like AlphaGo 52 and MuZero, 53 can collectively serve digital chemistry. The merged data impels the understanding rather than experiments in Hoffman's picture.…”

FECDO-Flexible and Efficient Coding for DNA Odyssey

“…To fully exploit known knowledge for data compression, we further performed pattern extraction by prompting pre-trained language models (PLM). PLMs, like GPT [33] BERT [34] and Roberta [35], contain abundant information about natural language, since these models are trained with vast amount of text corpus. PLMs are usually applied to downstream tasks by fine-tuning, which is impractical for data compression due to the demands for storing large numbers (millions to billions) of model parameters.…”