Towards the ultimate brain: Exploring scientific discovery with ChatGPT AI

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Magazine Pub Date : 2023-08-26 DOI:10.1002/aaai.12113

Gerardo Adesso

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引用次数: 4

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 GPT⁴, which combines the concepts of GPT in AI (generative pretrained transformer) and GPT in physics (generalized probabilistic theory). We show that GPT⁴ can use its built-in mathematical and statistical capabilities to simulate and analyze physical laws and phenomena. As a demonstration of its language capabilities, GPT⁴ 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.

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走向终极大脑：用ChatGPT AI探索科学发现

本文提出了一种利用OpenAI开发的人工智能（AI）环境ChatGPT进行科学发现的新方法。这是第一篇完全由ChatGPT输出的论文。我们展示了如何通过游戏化环境指导ChatGPT来定义和基准测试假设的物理理论。通过这种环境，ChatGPT成功地模拟了一种新的改进模型的创建，称为GPT4，它结合了人工智能中的GPT（生成预训练变换器）和物理学中的GPT（广义概率理论）的概念。我们证明GPT4可以使用其内置的数学和统计功能来模拟和分析物理定律和现象。为了展示其语言能力，GPT4还制作了一首关于自己的打油诗。总的来说，我们的研究结果证明了人类与人工智能在科学发现中的合作潜力，以及设计将人工智能的能力与人类智能有效集成的系统的重要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.