AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT
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Abstract (arXiv)
In this case study, we explore the capabilities and limitations of ChatGPT, a natural language processing model developed by OpenAI, in the field of string theoretical swampland conjectures. We find that it is effective at paraphrasing and explaining concepts in a variety of styles, but not at genuinely connecting concepts. It will provide false information with full confidence and make up statements when necessary. However, its ingenious use of language can be fruitful for identifying analogies and describing visual representations of abstract concepts.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 0 of its 26 references that are in the map. First posted on arXiv 10 Jan 2023.
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Citing papers per year: 2023: 5; 2024: 3; 2025: 2.
10 papers.
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 152
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- 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Servingcited by 13
- 2023Scaling Evidence-based Instructional Design Expertise through Large Language Modelscited by 3
- 2023POSQA: Probe the World Models of LLMs with Size Comparisonscited by 2
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPTcited by 1
- 2024Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalographycited by 0
- 2025Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?cited by 0
- 2025Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving2 Sep 2025
- 2025Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?17 Jun 2025
- 2024Investigation of the effectiveness of applying ChatGPT in Dialogic Teaching Using Electroencephalography25 Mar 2024
- 2024A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems28 Feb 2024
- 2024WIPI: A New Web Threat for LLM-Driven Web Agents26 Feb 2024
- 2023DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions7 Dec 2023
- 2023POSQA: Probe the World Models of LLMs with Size Comparisons20 Oct 2023
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT5 Aug 2023
- 2023Scaling Evidence-based Instructional Design Expertise through Large Language Models31 May 2023
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models4 Apr 2023