Strange new universes: Proof assistants and synthetic foundations

Author:

Shulman Michael

Abstract

Existing computer programs called proof assistants can verify the correctness of mathematical proofs but their specialized proof languages present a barrier to entry for many mathematicians. Large language models have the potential to lower this barrier, enabling mathematicians to interact with proof assistants in a more familiar vernacular. Among other advantages, this may allow mathematicians to explore radically new kinds of mathematics using an LLM-powered proof assistant to train their intuitions as well as ensure their arguments are correct. Existing proof assistants have already played this role for fields such as homotopy type theory.

Funder

Air Force Office of Scientific Research

Publisher

American Mathematical Society (AMS)

Reference25 articles.

1. [AGG{\etalchar{+}}22] Ayush Agrawal, Siddhartha Gadgil, Navin Goyal, Ashvni Narayanan, and Anand Tadipatri, Towards a mathematics formalisation assistant using large language models, arXiv:2211.07524, 2022.

2. [Bau20] Andrej Bauer, What makes dependent type theory more suitable than set theory for proof assistants? MathOverflow, 2020. \url{https://mathoverflow.net/q/376973} (version: 2020-12-07).

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1. Proof in the time of machines;Bulletin of the American Mathematical Society;2024-02-15

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