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Konstantin Kakaes

Reporter · US

Indexed articles, last 90 days
2
Latest publication
Aug 3, 2026
Outlet visibility, for Quanta Magazine
Top 500K sites
Earliest in this view
Aug 3, 2026
The latest indexed work is over 30 days old. There may be a gap in what we hold.

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  1. Article · Aug 3, 2026 · Konstantin Kakaes

    Why the Legendary Erdős Problems Are Falling to AI | Quanta Magazine (opens the original)

    Excerpt · Neutral tone · English

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    On May 20, 2026, OpenAI made an announcement that shook the mathematical world. An internal AI model — one not available to the public — had come up with a counterexample to the “unit distance” problem, a conjecture made in 1946 by Paul Erdős, the prolific, itinerant Hungarian mathematician. Erdős posed thousands of questions, but this one was special: It was both simple to explain and mathematically deep. It was the first historically significant proof to come from an AI model. Though the model

  2. Article · Aug 3, 2026 · Konstantin Kakaes

    Why the Legendary Erdős Problems Are Falling to AI (opens the original)

    Excerpt · Neutral tone

    Read excerpt

    AI’s greatest mathematical successes have come from answers to problems posed by a mid-20th century iconoclast. By examining what makes the Erdős problems unique, mathematicians are trying to understand how AI might change the rest of math. The post Why the Legendary Erdős Problems Are Falling to AI first appeared on Quanta Magazine

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For Quanta Magazine, the outlet · Measured Aug 1, 2026

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