Mathematicians Puzzled Over a Famous Problem for 80 Years. Now, They've Used A.I. to Identify a Clever Solution
Mathematicians have long grappled with the unit distance problem posed by Paul Erdős in 1946. Recently, an artificial intelligence model developed by OpenAI has proposed a more effective strategy than Erdős' original approach. This breakthrough raises questions about the role of AI in solving complex mathematical problems.
- ▪The unit distance problem involves arranging dots on a plane to maximize the number of pairs at the same distance apart.
- ▪For 80 years, Erdős' grid-like arrangement was believed to be the best solution.
- ▪OpenAI's AI model has identified a strategy that produces more pairs than Erdős' proposed method.
Opening excerpt (first ~120 words) tap to expand
Mathematicians Puzzled Over a Famous Problem for 80 Years. Now, They’ve Used A.I. to Identify a Clever Solution In 1946, the mathematician Paul Erdős posed the unit distance problem—and suggested a winning strategy. An A.I. model has now landed on a better one. Why didn’t humans get there first? Ellen Wexler | Writer and Special Projects Editor June 3, 2026 12:14 p.m. ShareCopy linkEmailSMSFacebookXRedditLinkedInBlueskyPrintAdd as preferred source For 80 years, most mathematicians assumed Paul Erdős' strategy was correct. OpenAI Place any number of dots on a two-dimensional plane—say, a piece of paper—and measure the distance between each pair.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Smithsonian Magazine.