My perspective is quite simple: imagine a human mathematician who could access, understand, and simultaneously analyze essentially all the accumulated knowledge in a field, while also being able to explore connections between distant areas of mathematics. Would that person have a much better chance of solving some of the most difficult problems? Absolutely.
This is, in part, what makes systems like ChatGPT and the new generation of mathematical AI so fascinating. They can bring together an extraordinary breadth of mathematical knowledge and explore connections at a scale that is simply beyond any individual human.
Is this good or bad for mathematics?
For me, unequivocally good.
As a mathematics professor, I don’t see the future in fighting AI or trying to preserve mathematics as it was. I see the opportunity to learn how to use AI as a new mathematical tool—to formulate better questions, explore conjectures, test ideas, discover connections, and perhaps reach mathematics that would otherwise take generations to uncover.
The role of the mathematician may change, but mathematics itself may become much more powerful.
The question is no longer whether AI will enter mathematics. It already has. The question is what mathematicians will do with it. @OpenAI@zbMATH
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Business is like assembling a puzzle.
The full picture doesn’t appear at once, it’s built piece by piece: the first call, the initial meeting, consistent effort, and the first trusted deal.
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Patience and persistence are key.
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Business is like assembling a puzzle.
The full picture doesn’t appear at once, it’s built piece by piece: the first call, the initial meeting, consistent effort, and the first trusted deal.
As Keith Ferrazzi writes in Never Eat Alone, success is forged “one relationship at a time.”
Patience and persistence are key.
What’s one relationship that changed the game for you? 👇
#Business #Leadership #Networking #Engineering #Construction #GCC