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LLMs prove adept at solving complex mathematical problems, including proofs and counterexamples

By PulseAugur Editorial · [1 sources] ·

Large Language Models (LLMs) have demonstrated proficiency in solving complex mathematical problems, extending beyond merely finding counterexamples to also proving difficult statements. While LLMs have been instrumental in solving famous problems, a notable trend is their success in identifying counterexamples rather than direct proofs. This capability has been observed in their work on significant mathematical challenges such as the Jacobian conjecture and the unit distance conjecture. AI

IMPACT LLMs are proving capable of solving complex mathematical problems, including generating proofs and finding counterexamples for difficult conjectures.

RANK_REASON The item discusses the capabilities of LLMs in solving mathematical problems, referencing specific conjectures, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs prove adept at solving complex mathematical problems, including proofs and counterexamples

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The item discusses the capabilities of LLMs in solving mathematical problems, referencing specific conjectures, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Gowers’s Weblog: What sort of maths are LLMs good at?. “A first remark here is that LLMs are not just good at finding counterexamples: they can find proofs of d

    Gowers’s Weblog: What sort of maths are LLMs good at?. “A first remark here is that LLMs are not just good at finding counterexamples: they can find proofs of difficult statements as well. However, it is notable that the most famous problems they have solved have almost all been …

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