Journalism/art students: It's never too early to start thinking about those summer internships. Quanta Magazine has three to choose from: Writing: simonsfoundation.wd1.myworkdayjobs.com/simonsfoundati… Engagement: simonsfoundation.wd1.myworkdayjobs.com/simonsfoundati… Art: simonsfoundation.wd1.myworkdayjobs.com/simonsfoundati…

1/n: There are some academic papers that are so brilliantly and so accessibly written and so universal in scope that they transcend disciplines and stand as timeless testaments to both great thinking and great writing. Here's a short personal selection:

Hello! I’m back on the job as physics editor Quanta Magazine and eager for pitches. X’s science journalism community has become something of a bleached coral reef, but any writers out there with story ideas or general interest in working together, please DM me. Thanks! 💡✍️

There is probably going to be another eruption in Iceland this week. That sort of forecasting is often not possible for volcanoes around the world. But it is here. How come? Read my Quanta Magazine feature on Iceland’s magma hunters to find out.

Great Quanta Magazine coverage of the "Murmurations" phenomenon: quantamagazine.org/elliptic-curve…

Listen to our very own Professor Laura DeMarco speak on mathematics as a “whole unexplored universe which has no boundaries!” She joined the Harvard Radcliffe Institute podcast to reconsider not only what math is but also what it can do—and who can do it. #harvardmath radcliffe.harvard.edu/news-and-ideas…

The talk relates to using complexity theory to tackle Hawking's black hole information paradox. And Quanta Magazine has you covered again. Charlie Wood interviewed a bunch of young physicists working on this last year--including Pennington. “It represents to some degree the end

Apply to be Quanta Magazine's next news assistant working alongside the best team in science journalism: quantamagazine.org/about/#quanta-…

It's wonderful to see Avi receive this recognition for his inestimable influence on theoretical computer science. Congratulations, Avi!

Sheon's explainer is very good! Since Avi Wigderson's work has touched nearly part of the field, the award is a great shameless self-promotion opportunity for all of us CS journalists.

AI Starts to Sift Through String Theory’s Near-Endless Possibilities Using AI, string theorists are finally showing how Calabi-Yau manifolds translate into sets of elementary particles — though not yet those of our universe. 🔥by Charlie Wood quantamagazine.org/ai-starts-to-s…

If you're interested in a jargon-less explanation of "Learning quantum Hamiltonians at any temperature in polynomial time": Lakshmi Chandrasekaran, PhD (she/her) wrote a great piece on it. Thanks, Lakshmi!

Nat Geo laid of all its writers, and most of its old editors. They’re now hiring social media managers, content strategists, SEO editors, etc. Who needs writers when you could hire new staff to “assist managers [with] best-in-class creative social stunts”?

Are you interested in writing about math and working with the great Jordana Cepelewicz? Apply here to join the Quanta Magazine team! simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfo…

New today in Quanta Magazine: the most pure unadulterated fun I've had reporting a story in my time as a journalist to date. After decades, an open online collaboration has definitively identified an unusually active computer program called the fifth busy beaver. 1/5

Fabulous piece on the 800 page-proof of the geometric Langlands conjecture, a key pillar of the “grand unified theory of mathematics” by Erica Klarreich for Quanta Magazine. Do read! quantamagazine.org/monumental-pro…

Long before the binary 0s and 1s of digital computing, analog computers measured the tides, calculated the position of the planets, and predicted eclipses. Max G. Levy and Michael Moyer detail the history and strengths of these machines: quantamagazine.org/what-is-analog…

John Hopfield and Geoffrey Hinton have won this year’s The Nobel Prize in physics for developing methods that have shaped modern powerful machine learning algorithms. The unusual choice highlights the way that physics inspired some of the earliest neural networks. 🧵