The President swept off to Beijing to court Xi Jinping. Back Stateside, it was non-Presidential motorcades, video games, and a languid vibe at the White House. The endless motorcades and wail of sirens in Washington this week made it seem as if the President were travelling non-stop around the city, or receiving a bevy of foreign dignitaries. As it happened, it was National Police Week, and the ceremonial convoys were carrying the families of police officers who had been killed in the line of duty. Donald Trump was leaving for China.

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Subhalata Pradhan, a Gram Vikas fieldworker, talks to Raja Pradhan about the chatbot and addresses concerns over sharing his details. Subhalata Pradhan, a Gram Vikas fieldworker, talks to Raja Pradhan about the chatbot and addresses concerns over sharing his details. India's scattered workforce: the chatbot keeping families in touch during emergencies Covid exposed the lack of data on the country's 140 million mobile migrant workers, but a new project in Odisha is helping to fill in the gaps Mon 16 Mar 2026 02.00 EDTLast modified on Mon 16 Mar 2026 02.03 EDT Raja Pradhan is sitting cross-legged, scrolling on his phone in his village in eastern India when a green WhatsApp chat bubble pops up on the screen. Are you going outside for work? He reads the message twice, unsure whether to respond.

One icy morning in February, nearly 200 people gathered in a church in downtown Richmond, Va. Most had awakened before dawn and driven in from across the state. There were Republicans and Democrats from rural farms and D.C. exurbs. They shared one goal: to fight back against AI development in a region with the largest concentration of data centers in the world. "Aren't you tired of being ignored by both parties, and having your quality of life and your environment absolutely destroyed by corporate greed?" state senator Danica Roem said, to a standing ovation. The activists--wearing homemade shirts with slogans like Boondoggle: Data Center in Botetourt County--marched to the state capitol and spent the day testifying to lawmakers about their fears over data centers' impacts on electricity, water, noise pollution, and more. Some lawmakers pledged to help: "You're getting a sh-t deal," state delegate John McAuliff told activists. The phrase captured many people's feelings toward the AI industry as a whole. Not much unites Americans these days.

We reduce the output range analysis on theINNs to solving a mixed integer linear programming problem.

In addition, we present an alternative design that permits a near-optimal sublinear decoding timeofO(klog2k+klogn).

Researchers at the company are trying to understand their A.I. system's mind--examining its neurons, running it through psychology experiments, and putting it on the therapy couch. It has become increasingly clear that Claude's selfhood, much like our own, is a matter of both neurons and narratives. A large language model is nothing more than a monumental pile of small numbers. It converts words into numbers, runs those numbers through a numerical pinball game, and turns the resulting numbers back into words. Similar piles are part of the furniture of everyday life. Meteorologists use them to predict the weather. Epidemiologists use them to predict the paths of diseases. Among regular people, they do not usually inspire intense feelings. But when these A.I. systems began to predict the path of a sentence--that is, to talk--the reaction was widespread delirium. As a cognitive scientist wrote recently, "For hurricanes or pandemics, this is as rigorous as science gets; for sequences of words, everyone seems to lose their mind." It's hard to blame them. Language is, or rather was, our special thing. We weren't prepared for the arrival of talking machines. Ellie Pavlick, a computer scientist at Brown, has drawn up a taxonomy of our most common responses. There are the "fanboys," who man the hype wires. They believe that large language models are intelligent, maybe even conscious, and prophesy that, before long, they will become superintelligent. The venture capitalist Marc Andreessen has described A.I. as "our alchemy, our Philosopher's Stone--we are literally making sand think." The fanboys' deflationary counterparts are the "curmudgeons," who claim that there's no there, and that only a blockhead would mistake a parlor trick for the soul of the new machine. In the recent book " The AI Con," the linguist Emily Bender and the sociologist Alex Hanna belittle L.L.M.s as "mathy maths," "stochastic parrots," and "a racist pile of linear algebra." But, Pavlick writes, "there is another way to react." It is O.K., she offers, "to not know." What Pavlick means, on the most basic level, is that large language models are black boxes. We don't really understand how they work. We don't know if it makes sense to call them intelligent, or if it will ever make sense to call them conscious. The existence of talking machines--entities that can do many of the things that only we have ever been able to do--throws a lot of other things into question. We refer to our own minds as if they weren't also black boxes.

Abby Johnson, former Planned Parenthood clinic director, releases documentary "Unthinkable" exposing what she calls abortion industry secrets after leaving in 2009.

Is the Dictionary Done For? The print edition of Merriam-Webster was once a touchstone of authority and stability. Then the internet brought about a revolution. Wars over words are inevitably culture wars, and debates over the dictionary have raged for as long as it has existed. Once, every middle-class home had a piano and a dictionary. The purpose of the piano was to be able to listen to music before phonographs were available and affordable. Later on, it was to torture young persons by insisting that they learn to do something few people do well. The purpose of the dictionary was to settle intra-family disputes over the spelling of words like "camaraderie" and "sesquipedalian," or over the correct pronunciation of "puttee." This was the state of the world not that long ago. In the late nineteen-eighties, Merriam-Webster's Collegiate Dictionary was on the best-seller list for a hundred and fifty-five consecutive weeks. Fifty-seven million copies were sold, a number believed to be second only, in this country, to sales of the Bible. There was good money in the word business.

The developers of a browser tool that changes AI-centric LinkedIn posts to Allen Iverson facts want to help "take back control of your experience of the internet." Give yourself a nice gift this holiday season. Download a free Chrome extension that replaces those incessant LinkedIn posts about artificial intelligence with facts about a very different kind of AI: Allen Iverson. Yes, the answer to your generative AI woes is "The Answer," the crossover king, the four-time NBA scoring champ. One of the defining traits of LinkedIn has always been unhinged posts from power users--the r/LinkedInLunatics subreddit exists for a reason--but the obsessive tenor of LinkedIn posting has become, somehow, more unbearable over the past few years as the generative AI hype cycle has grown.