Alexander Willis is a senior editor who graduated from the Mayborn School of Journalism at the University of North Texas and currently lives in the Metro Nashville area, Tennessee. Prior to joining ...
With her mother still missing, the “Today” host’s comeback was a rare TV example of learning to live with not knowing. By James Poniewozik James Poniewozik is the chief television critic of The New ...
A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...
Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...
If you, dear reader, found the strength and courage to waddle through my previous articles in the series, I salute you! In case you didn’t, don’t worry! No, really; that’s fine. I’m not sad at all. A ...
Last month, my husband, our 6-year-old daughter, and I flew from Nashville to San Francisco for our yearly visit with my brother and his family. Every time, my nervous system exhales amid the city’s ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...
Ben Dowson has spent his life in motion — climbing, skiing, gymnastics — and testing the limits of what the human body can do. Along the way, he sustained injuries that led him down a path of ...
Chinese tech giant ByteDance finalized its agreement to sell a majority stake in its video platform TikTok to a group of U.S. investors. TikTok announced on Jan. 22, 2026, that it has formed TikTok ...
Physical neural networks (PNNs) are a class of neural-like networks that make use of analogue physical systems to perform computations. Although at present confined to small-scale laboratory ...