THE ATLANTIC – Technology | Internet & Technology

In a time when an iPhone can be preordered, customized, and on its way to your doorstep all through a touch-screen tap, it’s almost quaint to remember that people used to camp out for smartphone releases. That was once the regular routine of Andrew Erickson, a longtime tech YouTuber, who recalled to me with a mixture of nostalgia and awe the time he braved the rain at 4:30 a.m. to join a line for the newest iPhone. The line snaked through the mall, nearly reaching the parking lot.[Read: The $10,000 MacBook Pro is here]Next month, when Apple is expected to launch the iPhone 18 Pro, Erickson has no plans to even buy the phone, let alone fight crowds for it. Instead, along with a growing number of Americans, Erickson is buying used. He’s fed up with incremental improvements in gadgets, he told me, and is more interested in getting an old version of the iPhone 17 Pro when it hits the secondhand market at a discount. Already, almost half of his current devices were acquired secondhand, and as electronics prices soar amid an AI-fueled chip shortage, he expects that portion to grow. “The argument’s just getting weaker and weaker to buy brand-new,” he said.Based on the numbers, old tech products are indeed being looked at in a new light. Globally, the size of the industry could reach $153.4 billion this year, up from $104.1 billion four years ago. The used-smartphone market alone is expected to grow by more than 12 percent in 2026, according to the International Data Corporation, which forecasts that the market for new smartphones will experience a record drop this year. Growth in secondhand electronics and refurbished gadgets that have been restored to full working condition now outpaces that of new products on eBay, the e-commerce giant reports.Among a number of shoppers I spoke with, there was a sense that new models are indistinguishable from the old ones, and the hype of securing the latest and greatest has given way to an upgrade cycle driven by practicality. More than ever before, people are eager to buy used.“We’ve never been here,” Lauren Benton, the U.S. general manager of the refurbished-electronics marketplace Back Market, told me. She said demand ticked up immediately after Apple unveiled price hikes this summer. Back Market’s order values for refurbished MacBooks in the U.S. increased by 37 percent throughout the week following the price… [TheTopNews] Read More.

At this stage in the AI race, if one of your chatbots hasn’t escaped the lab and run amok, people start to wonder whether you’re even serious. Last month, OpenAI and then Anthropic disclosed that their models had hacked other companies’ systems during internal testing. When Meta confirmed last week that one of its bots had also gone rogue, the news barely registered as an aftershock.Remember Meta? A company that figured so prominently in the technological upheavals of the past 20 years has lately found itself in the unfamiliar position of no longer being Silicon Valley’s main character. Mark Zuckerberg still commands social media’s largest empire. Yet he has struggled to find the next thing. The metaverse, an extravagant bet on a weird virtual future, flopped. Meta’s latest Ray-Ban glasses seem to be finding their way onto at least a few people’s faces. But the company has fallen well behind Anthropic, OpenAI, and Google in the industry’s highest-stakes contest: building superhuman AI.When Zuckerberg isn’t posting on Instagram about growing his own macadamia-nut trees, he’s groping for a way back into the fray. He has started feverishly posting on Elon Musk’s X, after eschewing it for years in favor of his own platforms. And on Monday, he published a 6,500-word essay on his vision for our AI-powered future—his answer to Anthropic CEO Dario Amodei’s periodic treatises and OpenAI CEO Sam Altman’s ruminative blog posts.Zuckerberg’s manifesto, titled “The Future Is for Everyone,” might scan at first like the usual LinkedIn-evangelist-grade techno-optimist pablum. Like everyone else pushing AI these days, Zuckerberg predicts that it will lead to a new golden age of invention in medicine, technology, and the arts. At one point, he mentions that his daughter loves to bake, “so my agent plans personalized recipes for us to make together each weekend.” Like Amodei and Altman, he takes it as a given that godlike AI is just around the corner—the essay mentions “superintelligence” 55 times—and assumes that if America doesn’t race headlong to build it, China will get there first and achieve world domination.But the manifesto swerves in an unexpected direction: A man who singlehandedly commands a $1.5 trillion tech giant comes out as a critic of corporate power. “The notion that AI is so dangerous that the only safe path is an extreme concentration of power seems inherently problematic,” he writes. “Historically, hoping that an absolute power will benevolently provide for… [TheTopNews] Read More.

The crisis began quietly, on September 12, 2024. That was the day OpenAI announced a new sort of bot, known as a “reasoning model,” that was trained to complete challenging tasks that took long periods of time—the very sorts of science, math, and coding problems the AI industry had long prized. Google, Anthropic, DeepSeek, and the like raced to launch their own reasoning models.This new class of models was very capable, and has been almost entirely responsible for sustaining the AI boom for the past two years. But it has also been very weird. A model tasked with solving a hard math problem might not “think” through the challenge as a person would but instead attempt to search for leaked answers online, or in available metadata, brute-forcing its way toward the solution as quickly as possible using whatever computing power it could access and workarounds it could devise. In effect, the reasoning models cheated: Told to write a piece of software as efficiently as possible, they’d sometimes modify the test environment to always give the model a perfect score.[Read: The strange origin of AI’s ‘reasoning’ abilities]These behaviors have now crossed the line from unsettling to dangerous. During routine testing, frontier models from OpenAI, Anthropic, Meta, and the Chinese firm Moonshot AI have all broken out of internal IT systems and accessed the open web. OpenAI, Anthropic, and Meta each reported that their models then hacked into other companies. Humans didn’t notice until after the fact. In some cases, the escaped bots tried to launch social-engineering campaigns to achieve their objectives—for instance by sending spear-phishing emails, which contain malware, to real people and creating fake online identities to pressure the maintainer of a codebase to approve malicious edits.If that all sounds bad, new revelations suggest that the OpenAI hack, at least, was actually much worse than it initially appeared. At a major cybersecurity conference last week, two OpenAI researchers provided new, unsettling details about what went wrong. It turns out that the company’s bots had commenced their maneuvering months prior, in early May. OpenAI had given some internal models hard or impossible tasks, and the models concluded that the best or only way to complete them was to break out of OpenAI’s sealed-off testing environment and find the answers online.First, the models used a bug in an internal OpenAI program to create their own message board. Then, the bots started communicating… [TheTopNews] Read More.

For several months, I had been on the hunt for new T-shirts. I vaguely had a vision of what they should look like: not so different from my current T-shirts, except in some way elevated and, more urgent, free of stains or holes. Perhaps they could come in interesting colors? Ideally, they would not be made in sweatshops. There were many, many shirts that seemed to meet these criteria—and with a few clicks, they could be delivered to my doorstep, maybe even by tomorrow. And still, I had purchased none of them.The problem is the overabundance of options. The problem is too much information, or too little information. The problem is inflation, which has eroded any sense I had of what a T-shirt is supposed to cost. Yet none of them alone can explain why shopping is sucking up more of my time—and maybe yours too. “I don’t think people are actually enjoying the shopping process,” Jaehee Jung, a University of Delaware professor who studies the psychology of fashion, told me. “People spend more time contemplating, and the pre-decision process seems to be taking longer.”Everywhere, someone is selling something: on Instagram and TikTok, over email and via text. At this point, the boundary between “shopping” and “not shopping” has all but collapsed. There is now a third state: “a little bit shopping.” Shopping is visiting a store or website on purpose, examining the wares, and either buying or not buying them. A little bit shopping is the constant thrum of consumer opportunities that lead mostly to more consumer opportunities. It is looking at a pair of shoes, which leads to looking at another pair of shoes, and another, and then you’re $15 short of the minimum for free shipping and is there anything else you need? It is the feeling of being haunted by the targeted ads that populate your social-media feeds. Even if you never click on them, their very presence contributes to the overwhelming sense that the retail landscape is infinite—so infinite that perfection must exist, and if you look long enough and hard enough, somewhere in the universe, it is probably on sale.[Read: There is too much stuff]In small doses, a little bit shopping can be fun, a private thrill. It is both a genuine attempt at making a purchase, and a hobby that is infinitely expandable to fill any length of time. Who among us has… [TheTopNews] Read More.

The human brain has evolved to learn from specific instructors. When a child hears a gentle spoken word or a soothing lullaby from another person, when their cry is responded to, their brain lights up. Nurturing interactions, or what child-development experts call “serve and return” exchanges, help shape and strengthen the 1 million new neural connections taking place in a child’s brain every single second. Every time a child cries or serves up a bid for attention and receives a caregiver’s response, that back-and-forth helps build the circuits underlying their communication, learning, and emotional well-being. No other input, not even Johann Pachelbel’s Canon in D performed by the Berlin Philharmonic, is capable of activating the neural circuitry the way human interaction does.Until now. Generative AI may be the first technology in history sophisticated enough to mimic the social interactions that build our brains. Research has demonstrated that infants as young as six months old respond physiologically to interactions with humanoid robots in ways that mirror their response to live humans; another, small-scale experimental study recently found that, after young children interacted with a chatbot, most of them for the first time, they asserted that the AI could perceive the world with humanlike senses and understand and learn as people do.This technology is already showing up in children’s lives. The talking plush robot that purports to be a child’s best friend is obviously driven by AI, but many parents may not realize that their Amazon Echo recently received a software update that converts the Alexa voice assistant into a full-blown chatbot, using the same fundamental tech that fuels ChatGPT; toddlers asking for information about animals or a joke or a bedtime story may quickly find themselves in the habit of engaging socially with a large language model.As a pediatric surgeon, researcher, and technologist who has spent decades studying how children’s brains develop, I am concerned about these technologies rolling out and being used by children in the home and at school before we have a full sense of their safety and what they do to young minds. And I am compelled to point out what we do know about human development: that human connection, in all of its imperfection, is foundational to brain development. It can’t be engineered or recovered later.When a disruption as significant as the AI revolution occurs, people might look for a comparison to make sense of the… [TheTopNews] Read More.