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  • Awareing Ourselves to Death
    From the comfort of my desk, I can see it all. A series of webcam feeds show me the sun setting over Tel Aviv and southern Lebanon. A map of the world, flecked with red dots, indicates that most of Europe and the Middle East are on “high alert.” I toggle a button on the map’s control panel, and the globe is instantly latticed with the locations of undersea fiber-optic cables. Below the map, a live feed of Bloomberg TV is running with the chyron Oil Extends Rout on Stockpile Talks. I scroll down and am greeted by walls of headlines, grouped into categories such as “World News” and “Intel Feed.” A “country instability” meter clocks Iran at 100 percent, while a different widget informs me that the world’s “strategic risk overview” remains “stable” at 50, whatever that means.   I am looking at World Monitor, a website that turns any browser into a makeshift situation room, and I love it. Built to look like a cross between a Bloomberg terminal and a big screen at U.S. Strategic Command, the site aims to display as much information about world events as possible in an assortment of real-time feeds. This is information overload presented as intelligence.World Monitor was built over a single weekend in January by Elie Habib, an engineer based in the United Arab Emirates whose day job is as CEO of Anghami, one of the Middle East’s largest music-streaming services. “I wanted to extract the signal from the noise,” he told me recently. But what he really built, by his own admission, is a noise machine. Right now, the site pulls in more than 100 different streams of data, including stock prices, prediction markets, satellite movements, weather alerts, major-airport flight data, fire outbreaks, and the operational status of cloud services such as Cloudflare and AWS. The information is all real, but what exactly a person ought to do with it is unclear.When Habib posted about the project on X, he was shocked by the response. At one point, tens of thousands of people were using the site at the same time; more than 2 million people accessed it in the first 20 days. Habib’s inbox filled with requests for new features as well as messages from venture capitalists looking to spin up World Monitor into a full-time business. Via GitHub, where Habib has made the code for World Monitor open-source and… [TheTopNews] Read More.
    THE ATLANTIC – Technology | Internet & TechnologySat, March 14, 2026
    4 hours ago
  • Well, That’s One Way to Sell Americans on Electric Cars
    In a TikTok video posted earlier this week, a Chihuahua claps its paws and dances to disco in front of a Tesla. “EV owners seeing gas prices go up, and not having to pay it,” the caption reads. In another, a clip of the comedian Zach Galifianakis laughing hysterically is superimposed over a gas-price sign. Across social media, Americans who drive electric vehicles can’t help but gloat. Who’s laughing now?Indeed, a car that doesn’t require gas sure does sound appealing right now. As the Iran crisis continues to choke the global supply of oil, gas prices are rising higher and higher. Americans are now paying an average of $3.63 a gallon at the pump, according to AAA—up from $2.94 just a month ago. Four bucks may be right around the corner, and elevated prices could linger for months. Already, ride-share drivers are getting pickier about the trips they accept and driving longer hours to offset the extra costs. Commuters are hunting for the best deals on services such as GasBuddy—which has seen its daily active users more than double in a week and a half. At one Chevron in downtown Los Angeles, people are stopping just to take photos of the electronic sign displaying a price of $8.38 per gallon.America could have entered this fiasco with a better hand. The current spike in gas prices—and whatever comes next—could have been much more manageable if more people had electric vehicles in their driveway. Yet relatively few Americans are currently in the position to recharge instead of refuel (regardless of whether they’re rubbing it in with Chihuahua memes). In the United States, sales of electric vehicles have risen considerably over the years, but adoption lags behind the rest of the world. Just under 8 percent of new cars sold last year in the U.S. were electric, compared with a fifth in Europe and a third in China. Now America is quite literally paying the price for sticking with gas.[Read: The American car industry can’t go on like this]Some of the skepticism toward EVs is understandable: They generally cost more than conventional cars, plus there’s that unfamiliar business of charging. A road trip in an EV requires more planning than simply stopping at the nearest gas station when the low-fuel light starts blinking. On top of that, low gas prices have made it easy for less climate-conscious buyers to adopt an attitude of… [TheTopNews] Read More.
    THE ATLANTIC – Technology | Internet & TechnologyFri, March 13, 2026
    19 hours ago
  • Inside the Dirty, Dystopian World of AI Data Centers
    Photographs by Landon SpeersAs we drove through southwest Memphis, KeShaun Pearson told me to keep my window down—our destination was best tasted, not viewed. Along the way, we passed an abandoned coal plant to our right, then an active power plant to our left, equipped with enormous natural-gas turbines. Pearson, who directs the nonprofit Memphis Community Against Pollution, was bringing me to his hometown’s latest industrial megaproject.Already, the air smelled of soot, gasoline, and asphalt. Then I felt a tickle sliding up my nostrils and down into my throat, like I was getting a cold. As we approached, I heard the rumble of cranes and trucks, and then from behind a patch of trees emerged a forest of electrical towers. Finally, I saw it—a white-walled hangar, bigger than a dozen football fields, where Elon Musk intends to build a god.This is Colossus: a data center that Musk’s artificial-intelligence company, xAI, is using as a training ground for Grok, one of the world’s most advanced generative-AI models. Training these models takes a staggering amount of energy; if run at full strength for a year, Colossus would use as much electricity as 200,000 American homes. When fully operational, Musk has written on X, this facility and two other xAI data centers nearby will require nearly two gigawatts of power. Annually, those facilities could consume roughly twice as much electricity as the city of Seattle.To get Colossus up and running fast, xAI built its own power plant, setting up as many as 35 natural-gas turbines—railcar-size engines that can be major sources of smog—according to imagery obtained by the Southern Environmental Law Center. Pearson coughed as we drove by the facility. The scratch in my throat worsened, and I rolled up my window.xAI’s rivals are all building similarly large data centers to develop their most powerful generative-AI models; a metropolis’s worth of electricity will surge through facilities that occupy a few city blocks. These companies have primarily made their chatbots “smarter” not by writing niftier code but by making them bigger: ramming more data through more powerful computer chips that use more electricity. OpenAI has announced plans for facilities requiring more than 30 gigawatts of power in total—more than the largest recorded demand for all of New England. Since ChatGPT’s launch, in November 2022, the capital expenditures of Amazon, Microsoft, Meta, and Google have exceeded $600 billion, and much of that spending has gone… [TheTopNews] Read More.
    THE ATLANTIC – Technology | Internet & TechnologyFri, March 13, 2026
    1 day ago
  • What Was Grammarly Thinking?
    To me, the best first sentence of any piece of journalism is the one in Joan Didion’s 1987 book, Miami, which begins like this: “Havana vanities come to dust in Miami.”I love that sentence and that propulsive first chapter so much that I once sat down to try to figure out how she did it. I looked at the sentences one at a time to assess what purpose each one was serving, and I counted how many of them Didion had needed to accomplish each thing she wanted to accomplish. Then I thought about how she figured out what order to put them in to have maximum page-turning impact. And then I compared all of it unfavorably with the flailing and feeble way in which I would have pursued the same goals. I marked up my copy of the book in a somewhat desperate fashion and then became depressed.That type of copying is pretty normal, and they teach it in school. It’s how you learn (and how you become depressed). But in the age of generative AI, there are many new kinds of copying. For instance, Wired reported last week on a tool offered by Grammarly, which briefly offered users the opportunity to put their writing through something called “Expert Review.” This produced AI-generated advice purportedly from the perspective of a bunch of famous authors, a bunch of less-famous working journalists (including myself, per The Verge’s reporting), and a bunch of academics (including some who had recently died).[Margaret Atwood: Murdered by my replica?]I say “briefly” because the company deactivated the feature today. A lot of people got really mad about it because none of the experts had agreed for their work to be used in such a way, or to serve as uncompensated marketing for an app that people use to help them write more legible emails. “We hear the feedback and recognize we fell short on this,” the company’s CEO, Shishir Mehrotra, wrote on his LinkedIn page yesterday. Not long after, Wired reported that one of the journalists whose name had been used in the feature, Julia Angwin, was filing a class-action lawsuit against Grammarly’s owner, Superhuman Platform. In a statement forwarded by a spokesperson, Mehrotra repeated apologies made in his LinkedIn post and added, "We have reviewed the lawsuit, and we believe the legal claims are without merit and will strongly defend against them."Before the tool went down,… [TheTopNews] Read More.
    THE ATLANTIC – Technology | Internet & TechnologyThu, March 12, 2026
    2 days ago
  • Who Cares If AI Brings Down the Economy?
    The tech billionaire Hemant Taneja admits that AI is a bubble. In fact, he welcomes it: “Bubbles are good,” Taneja, the CEO of General Catalyst, a venture-capital firm, told me in an email. If AI comes crashing down, it will lead to “some spectacular failures,” he said—companies will go under and people will lose their jobs—but that’s a price worth paying for “enduring companies that change the world forever.”His view is widespread in Silicon Valley. Some, such as Nvidia CEO Jensen Huang, reject the notion that their companies are overvalued. But many of the wealthiest and most powerful people in tech are embracing the idea of an AI bubble. Jeff Bezos has argued that AI might be a “good” kind of bubble. Sam Altman has made similar comments, predicting that AI will be a “huge net win for the economy” even if “a phenomenal amount of money” is lost along the way.Indeed, a phenomenal amount of money is at stake: OpenAI, which is still far from profitable, is currently worth more than Toyota, Coca-Cola, and Disney combined. This year, Big Tech plans to spend some $650 billion on the AI build-out—a sum that far exceeds the GDP of most countries. Investors are banking that AI will spur a productivity boom and deliver unimaginable corporate profits, but that future could be far off. If the spending dries up first, the bubble could pop—perhaps dragging the rest of the economy down with it. Nonetheless, Silicon Valley thinks that the present mania will eventually pay back its returns through scientific discovery and economic growth. “Stop trying to make bubbles go away,” as the entrepreneur James Thomason recently wrote. “The benefits of innovation outweigh the costs of volatility.” In other words: Be grateful for the bubble.[Read: Here’s how the AI crash happens]Silicon Valley did not invent the idea that bubbles can be worth the pain. Various economists have made the argument for decades. But as the AI boom has exploded, a book by two investors, Tobias Huber and Byrne Hobart, has helped formalize tech’s pro-bubble ideology. Boom: Bubbles and the End of Stagnation was a hit in Silicon Valley when it came out in 2024, praised by the tech billionaires Peter Thiel and Marc Andreessen.The authors argue that there are essentially two kinds of bubbles: good ones (dot-com, the railroads) and bad ones (the 2008 housing crisis). Both cause damage when they burst, but… [TheTopNews] Read More.
    THE ATLANTIC – Technology | Internet & TechnologyThu, March 12, 2026
    2 days ago
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