An AI solved an 80-year-old combinatorial geometry problem that stumped mathematicians. It didn't just brute-force the answer but pursued exotic, creative approaches humans would find too exhausting. Researchers say this speed plus inventiveness will soon transform physics, chemistry, and materials science.
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Math is cooked. This is one of the most important problems, combinatoric geometry, that stood for the past 80 years, and now AI has just solved it. Mathematicians and others point to those exhaustive brute force solutions and say, maybe AI is more exhaustive, it's better at brute force, but it lacks human brilliance. It lacks leaps of, of creative insight. This is not a problem like that. This is a problem that has the top mathematicians in the world looking at its reasoning traces and concluding that not only was it faster in some sense, not only was it able to brute force lots of different theoretical approaches, but it was also smarter. From looking at the reasoning chain, they could see that it was pursuing all sorts of, call them exotic possibilities that humans would be too exhausted to pursue. So it was arriving at creativity by sort of both being faster, but also being able to brute force all sorts of outlandish possibilities. That's going to play out everywhere else as well. It's going to play out in physics, it's going to play out in every science, engineering, and tech. Starting gun. #SolveEverything, Peter, we're seeing it.
The starting gun. And while people may not relate to math, they sure are going to relate to physics and chemistry and biology, material sciences. These are going to give birth to trillion-dollar outcomes.
