Konstantin Kakaes
- 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
Latest articles
Why the Legendary Erdős Problems Are Falling to AI | Quanta Magazine (opens the original)
Read excerpt
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
Why the Legendary Erdős Problems Are Falling to AI (opens the original)
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
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
Top 500K sites
For Quanta Magazine, the outlet · Measured Aug 1, 2026
Website popularity band, not a count of readers or article views.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.