OpenAI May Have Solved a $1 Million Math Problem. Now Comes the Trust Problem.
OpenAI may have cracked a $1 million math problem. The bigger question is whether AI should ever learn from the unpublished ideas users trust it with.
AI was supposed to be the assistant.
In this story, the company behind the assistant became the competitor.
And that may be more important than the $1 million math problem OpenAI says it just solved.
The problem is called Navier–Stokes.
Forget the maths.
It is basically a 90-year-old question about whether the equations we use to describe moving water and air can suddenly break down.
OpenAI says its new internal AI cracked it.
Around 10,000 AI agents worked on the problem.
88 hours later, they had a proof.
That alone could become one of the biggest moments in the history of AI-assisted science.
But then the story gets uncomfortable.
Two mathematicians, Tristan Buckmaster and Levent Alpöge, had spent months working on a closely related approach.
They were using AI to help them.
Including OpenAI’s Codex.
Buckmaster says they had been putting all of their unpublished drafts into Codex throughout the project.
Then word of their progress reached OpenAI.
OpenAI confirms that those rumours prompted it to send its new internal model after the Millennium Prize problems.
Days later, its AI had gone further and produced the Navier–Stokes proof.
Now, there is no evidence that OpenAI simply stole their work.
Buckmaster explicitly says he doesn’t know whether their data was used.
And OpenAI says neither its researchers nor its AI agents accessed their specific private work.
But then OpenAI adds one extraordinary qualification:
It cannot completely rule out that de-identified data derived from the researchers’ use of its products helped improve its models.
Read that again.
Because this is no longer really a story about mathematics.
We are increasingly giving AI the work we haven’t shown the world yet.
Our code.
Our research.
Our business plans.
Our inventions.
Our best unfinished ideas.
And we naturally think of the AI as a tool working for us.
But what happens when the company behind that tool can also build a much more powerful version that works without us?
There are protections. OpenAI says Business, Enterprise and API data isn’t used for training by default, and consumer users can turn training off.
But this case exposes a trust question that is going to become much bigger as AI gets smarter.
Would you put your best unpublished idea into an AI assistant if there were even a small chance the company behind it could learn from it?
