Category: Career Advice
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What a Chess Engine Knows About Taste
A graduate student wrote to me recently, after reading something I’d posted about how the value in our work is migrating from execution toward judgment. He’d been circling the same thought: that the future of pure mathematics may be governed less by the practical pressures that shaped the profession for the last century and more…
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The Disclosure Tax: Why Mathematicians Are Quietly Avoiding “We Used AI”
Journals and professional societies are converging on a norm: disclose your use of AI. In writing, in editing, in computation, in research itself. You can already see it on arXiv, a growing number of papers, often from well-established authors, include a line acknowledging AI assistance somewhere in the acknowledgments or methods. But in practice, the…
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The Formula That Unlocked the Drawer
A few years ago, a graduate student and I got stuck. We were chasing a conjecture we were both convinced was true; the numerical evidence was overwhelming, the kind that doesn’t leave much room for doubt. We’d handled the low-dimensional case cleanly and knocked out a good many of the sub-cases one dimension up. And…
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Where the Difficulty Went
A few weeks ago I had what I thought was a good idea. There’s a problem in harmonic analysis I’d been turning over for a while; the technical details don’t matter much for the story, but the shape of it does. An existing proof in the literature worked but didn’t feel optimal to me, and…
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What Happens to Mathematicians When AI Can Do the Math?
If you’re deciding whether to apply to a math PhD program, figuring out how to position a research agenda, or sitting in a department wondering which way the wind is blowing, the next few years will matter more than you probably think. The field is in the early stages of a bifurcation, and the ladder…
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A Letter From 2029: What I Fear About AI and Mathematics
Editorial Note Recently entrepreneur Matt Shumer published “Something Big Is Happening,” a 5,000-word essay comparing the current AI moment to February 2020, right before COVID changed everything. It reached over 80 million people on X and was covered widely. Shumer wrote it for the people in his life who aren’t paying attention to AI, his…
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You Are Who You Work With
A folk saying, a body of research, and what a biology lab can teach mathematicians about doing their best work. Jim Rohn, the American entrepreneur and motivational speaker, had a saying he returned to often: “You are the average of the five people you spend the most time with.” It is the kind of aphorism…
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The Infinite Monkeys Aren’t Random Anymore
When OpenAI announced that one of its systems had disproved a long-standing conjecture in combinatorial geometry, the headline wrote itself: an AI solved a famous open problem in mathematics. The story traveled fast, and the framing was irresistible, a machine had done the thing we’d been told machines couldn’t do. I read the paper, along…
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The Microscope and the Telescope: A Defensive Lineman’s Advice for Mathematicians
Maxx Crosby, the Raiders’ star pass rusher, described his approach to his career in a 2024 interview with Sports Illustrated using a metaphor that’s stuck with me. He credits it to two of his former coaches, Rich Bisaccia and Rod Marinelli: The microscope’s your day-to-day; your 99% of the time, you’re in today. All you’re…
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The Complete Guide to Losing the Academic Mathematics Metagame
A comprehensive manual for sabotaging your own mathematical career Every game has a metagame, the game about the game, the optimal strategies for winning at a specific point in time. Academic mathematics is no exception. While most career advice tells you how to succeed, I’m going to do something different: show you exactly how to…