AI cracks century-old math problem

OpenAI solves Navier-Stokes equations in four days, sparking debate over mathematicians' future role

Sep 18, 2026

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AI cracks century-old math problem

OpenAI solves Navier-Stokes equations in four days, sparking debate over mathematicians' future role

In brief

OpenAI solves Navier-Stokes equations in four days, sparking debate over mathematicians' future role AI solved a 100-year-old math problem but human mathematicians remain essential for creative problem framing Originally reported by Malay Mail.

AI solves century-old math problem

OpenAI's robots solved the Navier-Stokes equations in four days, a problem mathematicians have struggled with for a century.

“I am currently completely overwhelmed with an existential crisis in my field”

Mathematicians' existential crisis

UCLA professor Terence Tao, a Fields Medal winner, described an existential crisis in mathematics after AI solved a century-old problem.

“I am currently completely overwhelmed with an existential crisis in my field”

AI's rapid progress

AI agents solved the Navier-Stokes equations in four days, following patterns developed by Spanish researchers over decades.

“They were following in the footsteps of other mathematicians who'd been developing this programmatic approach”

Plagiarism concerns

Tristan Buckmaster and Levent Alpoge claim their work was plagiarized by OpenAI's AI, though the company denies this.

“They claim they came close to the solution before OpenAIs breakthrough and are now questioning if their work was plagiarized”

Human creativity debate

Experts warn AI lacks the creative leaps needed for true mathematical innovation, though it can solve existing problems efficiently.

“We are still not seeing the kind of leaps of creativity that really involve creating new mathematics”

Physics-informed AI

Caltech's Anima Anandkumar used a physics-informed neural network to solve simplified Navier-Stokes equations without prior research.

“So you could think of OpenAI as being more reliant on humans than we are in some sense”

AI's limitations

AI can produce long chain arguments but still requires human guidance for creative problem framing and meaningful questions.

“It's about asking the questions that will help society as a whole”

Future of math

Mathematicians will continue to play a crucial role in posing meaningful questions, not just solving existing problems.

“It's about asking the questions that will help society as a whole”

The essence

AI solved a 100-year-old math problem but human mathematicians remain essential for creative problem framing

Read the original on Malay Mail

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