There is an explanatory elegance to Rivka Galchen’s writing for The New Yorker that I’ve admired for a long time. Here, it finds a superb partner in the mind of Terence Tao, a renowned mathematician. As artificial intelligence casually spits out answers to notably evasive problems, Tao and his colleagues wrestle with the existential implications for their field. Galchen’s profile of Tao is also a demonstration of mathematics as human lineage and artistic practice, a chain of problems that has long encouraged expansive thinking. That chain now appears strained to the point of breaking—a potential “decoupling,” Galchen writes, of “problem-solving and insight.” Don’t miss the superb ending on this one.
“Let me be clear. There was no fun in this for me,” he said. “The fun was had before I gave it to this computer program. But talking to the A.I. about it—this is not fun.” He recalled, as a kid, falling in love with logic puzzles. What he loved was being in the dark, trying to find his way forward. “The fun part was not understanding, and struggling to understand,” he said. “Having all the solutions written down is the least fun part.”
More stories from the intersection of problem-solving and insight
What Can We Gain by Losing Infinity?
“Ultrafinitism, a philosophy that rejects the infinite, has long been dismissed as mathematical heresy. But it is also producing new insights in math and beyond.”
Have We Been Measuring Mountains All Wrong?
“A new method for quantifying grandeur is reshuffling the pecking order of the planet’s most impressive peaks. Turns out Everest has steep competition.”
At 17, Hannah Cairo Solved a Major Math Mystery
“After finding the homeschooling life confining, the teen petitioned her way into a graduate class at Berkeley, where she ended up disproving a 40-year-old conjecture.”
