mlsanityData to 7 Oct 2026

AI Insights into Theoretical Physics and the Swampland Program: A Journey Through the Cosmos with ChatGPT

arXiv 2301.08155 ↗First posted 10 Jan 2023physics.pop-ph cs.AI cs.CLcited by 10

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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.