OpenAI says AI solved decades-old Navier-Stokes problem in 88 hours
Translated from Korean and summarized by DistantNews. Read the original for the full story.
At a glance
- OpenAI said its AI model produced a new proof addressing the Navier-Stokes problem, a longstanding mathematical challenge involving fluid motion.
- The company said it used 10,000 AI agents and 130 billion tokens to derive the final proof in about 88 hours.
- The problem concerns whether smooth solutions always exist for the three-dimensional Navier-Stokes equations, which help describe air, water, weather and ocean currents.
A problem that mathematicians have struggled with for decades has reportedly been tackled by artificial intelligence in just 88 hours. OpenAI says its model generated a new proof for the Navier-Stokes problem, one of seven major unsolved challenges in mathematics.
The company announced the result on its official blog on the 8th, local time. OpenAI said it deployed 10,000 AI agents simultaneously and used 130 billion tokens before producing the final proof after roughly 88 hours.
The system used for the effort was an in-house model that OpenAI said performed better than its recently released GPT-6 Astra. The article describes the result as a proposed solution, rather than presenting independent confirmation of the proof.
The Navier-Stokes equations describe how fluids such as water and air move. They are used to explain phenomena ranging from airflow around aircraft to weather and ocean currents. Although the equations were developed in the 19th century, the unresolved three-dimensional question asks whether solutions always remain smooth.
Originally published by Dong-A Ilbo in Korean. Translated, summarized, and contextualized automatically by DistantNews, with a note on how the source frames the story. Not individually reviewed before publishing. How this works.