Tim Gowers: What sort of maths are LLMs good at?

Mathematician Tim Gowers discusses the current capabilities of Large Language Models in solving complex mathematical problems. He notes that while LLMs have achieved impressive results, they do not yet outperform humans in all aspects of mathematical research.
Why it matters
It provides an expert assessment of the limitations and potential of AI in the field of advanced mathematics.
For the sake of anyone who might read this blog post in the distant future (a month from now, say), let me mention that I am writing it a few days after OpenAI announced that it had solved ten major problems in mathematics and theoretical computer science, including the first construction of a non-sofic group, and a proof that the multicolour Ramsey number (where there are 3’s) grows superexponentially in . The first was, to judge from various talks I have been to, one of the most important unsolved problems in group theory, and the second was a major open problem in Ramsey theory that I didn’t necessarily expect to see solved in my lifetime, though of course such expectations now have to be revised.
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