Researchers have developed an artificially intelligent system that does the exact opposite of living in the moment.

But it doesnt just think a few steps aheadit thinks millions of steps ahead.

Like areallylong series of steps; were talking a million steps or more.

AI-generated art representing a chess game requiring thousands or millions of moves to win.

AI-generated art representing a chess game requiring thousands or millions of moves to win.© Sergei Gukov (This graphic includes AI-generated art)

Its like trying to find your way through a maze the size of Earth.

These are very long paths that you have to test out, and theres only one path that works.

To be clear, they didnt solve the conjecture itself.

Elon Musk, CEO of Tesla, during a cabinet meeting at the White House in Washington, DC, US, on Thursday, April 10, 2025.

While that might seem anticlimactic, the researchers did disprove ongoing potential counterexamples to the conjecture.

While disproving counterexamples doesnt necessarily make the original conjecture true, it does bolster it.

It gives us new ways to think about it.

Photo:

Gukov compared the math problems to the Rubiks Cube.

Can you take this scrambled, complicated Rubiks Cube and get it back to its original state?

The algorithm ultimately learned to generate long sequences of unexpected moves, which the researchers termed super moves.

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In contrast, ChatGPTs output is much more boring.

If you ask ChatGPT to write a letter, it will come up with something typical.

Its unlikely to come up with anything unique and highly original.

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Its a good parrot, said Gukov.

Our program is good at coming up with outliers.

Basically, our program knows how to learn to learn, Gukov explained.

An image of an AI generated walking TV holding a flower.

Its thinking outside the box.

He added that the team had made significant improvements in an area of math that was decades old.

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