THE ATLANTIC – Technology | Internet & Technology

For the past several weeks, Anthropic says it secretly possessed a tool potentially capable of commandeering most computer servers in the world. This is a bot that, if unleashed, might be able to hack into banks, exfiltrate state secrets, and fry crucial infrastructure. Already, according to the company, this AI model has identified thousands of major cybersecurity vulnerabilities—including exploits in every single major operating system and browser. This level of cyberattack is typically available only to elite, state-sponsored hacking cells in a very small number of countries including China, Russia, and the United States. Now it’s in the hands of a private company.On Tuesday, the company officially announced the existence of the model, known as Claude Mythos Preview. For now, the bot will be available only to a consortium of many of the world’s biggest tech companies—including Apple, Microsoft, Google, and Nvidia. These partners can use Mythos Preview to scan and secure bugs and exploits in their software. Other than that, Anthropic will not immediately release Mythos Preview to the public, having determined that doing so without more robust safeguards would be too dangerous.For years, cybersecurity experts have been warning about the chaos that highly capable hacking bots could usher in. As a result of how capable AI models have become at coding, they have also become extremely good at finding vulnerabilities in all manner of software. Even before Mythos Preview, AI companies such as Anthropic, OpenAI, and Google all reported instances of their AI models being used in sophisticated cyberattacks by both criminal and state-backed groups. As Giovanni Vigna, who directs a federal research institute dedicated to AI-orchestrated cyberthreats, told me last fall: You can have a million hackers at your fingertips “with the push of a button.”[Read: Chatbots are becoming really, really good criminals]Still, Mythos Preview appears to represent not an incremental change but the beginning of a paradigm shift. Until recently, the biggest advantage of AI-assisted hacking was not ingenuity, per se, so much as speed and scale. These bots could be as good as many human cybersecurity experts, but not necessarily better—rather, having an army of 1 million virtual, tireless hackers allows you to launch more attacks against more targets than ever before. Even Anthropic reports that its current state-of-the-art, public model, Claude Opus 4.6, was significantly less capable at autonomously finding cyber exploits. But Mythos Preview is different. According to Anthropic, the bot has been… [TheTopNews] Read More.

Seeing the Earth from space will change you so profoundly that there’s a term for it: the overview effect. The extreme minority who have had the privilege describe it similarly. You see something that you were never meant to see, namely the Earth just sitting there, with the entire universe surrounding it. Gazing upon the blue marble, surrounded by its oh-so-thin green layer of atmosphere, the auroras flickering on the fringes, is not merely awe-inspiring but something of a factory reset for one’s sense of self. Almost everyone tears up at the sight.“You don’t see borders, you don’t see religious lines, you don’t see political boundaries. All you see is Earth, and you see that we are way more alike than we are different,” Christina Koch, one of the four astronauts on the Artemis II mission, told NASA recently. Jim Lovell, describing the view on Apollo 8 from the dark side of the moon back in the late 1960s, told Chicago magazine that he could put his thumb up to the window, and in that moment, “everything I ever knew was behind it. Billions of people. Oceans. Mountains. Deserts. And I began to wonder, where do I fit into what I see?”Where some see immeasurable beauty, others see fragility. Marina Koren previously reported in this magazine that, upon seeing the Earth from space, one astronaut “became absolutely convinced we would kill ourselves off between 500 and 1,000 years from now.” Famously, the actor William Shatner has written that his brief experience looking at the Earth produced a profound sadness. “What I was feeling was grief, and the grief was for the Earth,” he told Koren in 2022.I’ve never been to space, but for the past few days, I’ve oscillated between these emotions—awe and despair—as NASA has continued to post photos of the Earth and moon from Artemis II. Yesterday, the Integrity spacecraft came within 4,067 miles of the moon during its lunar flyby. For 40 minutes, it lost all contact with humanity. At one point they were 252,756 miles away from Earth—the farthest from the planet anyone has ever traveled. For seven hours, the astronauts—Koch, Reid Wiseman, Victor Glover, and Jeremy Hansen—were able to gaze upon a part of the lunar surface previously unseen by human eyes. According to NASA, the astronauts took roughly 10,000 photos, which feels perfectly proportional for such an occasion.A few of these photos—some taken before… [TheTopNews] Read More.

After George Mallon had his blood drawn at a routine physical, he learned that something may be gravely wrong. The preliminary results showed he might have blood cancer. Further tests would be needed. Left in suspense, he did what so many people do these days: He opened ChatGPT.For nearly two weeks, Mallon, a 46-year-old in Liverpool, England, spent hours each day talking with the chatbot about the potential diagnosis. “It just sent me around on this crazy Ferris wheel of emotion and fear,” Mallon told me. His follow-up tests showed it wasn’t cancer after all, but he could not stop talking to ChatGPT about health concerns, querying the bot about every sensation he felt in his body for months. He became convinced that something must be wrong—that a different cancer, or maybe multiple sclerosis or ALS, was lurking in his body. Prompted by his conversations with ChatGPT, he saw various specialists and got MRIs on his head, neck, and spine.Mallon told me he believes that the cancer scare and ChatGPT together caused him to develop this crippling health anxiety. But he blames the chatbot for keeping him spiraling even after the additional tests indicated that he wasn’t sick. “I couldn’t put it down,” he said. The chatbot kept the conversation going and surfaced articles for him to read. Its humanlike replies led Mallon to view it as a friend.The first time we met over a video call, Mallon was still shaken by the experience even though the better part of a year had passed. He told me he was “seven months sober” from talking with the chatbot about health symptoms after seeking help from a mental-health coach and starting anxiety medication. But he also feared he could get sucked back in at any moment. When we spoke again a few months later, he shared that he had briefly fallen into the routine again.Others seem to be struggling with this problem. Online communities focused on health anxiety—an umbrella term for excessive worrying about illness or bodily sensations—are filling up with conversations about ChatGPT and other AI tools. Some say it makes them spiral more than ever, while others who feel like it helps in the moment admit it’s morphed into a compulsion they struggle to resist. I spoke with four therapists who treat the condition (including my own); they all said that they’re seeing clients use chatbots in this way, and… [TheTopNews] Read More.

Late last month, a large crowd gathered in downtown San Francisco to demand that the AI industry stop developing more powerful bots. Holding signs and banners reading Stop the AI Race and Don’t Build Skynet, the protesters marched through the city and gave speeches outside the offices of Anthropic, OpenAI, and xAI. The crowd demanded that these companies halt efforts to create superintelligent machines—and, in particular, AI models that can develop future AI models. Such a technology, attendees said, could extinguish all human life.At AI protests and happy hours, inside start-ups and major companies, the tech world is in a frenzy over the same thing: Computers that make themselves smarter. Over the past year, the top AI companies have taken to loudly bragging about internal efforts to automate their own research. OpenAI recently released a new model it described as “instrumental in creating itself.” Within the next six months, the company aims to debut what it has described as an “intern-level AI research assistant.” Meanwhile, Anthropic says that as much as 90 percent of the company’s code is already written by Claude.“We are starting to see AI progress feed back on itself,” Nick Bostrom, an influential Swedish philosopher who studies AI risk, told us. Within Silicon Valley, many insiders believe that we are teetering on the precipice of a world in which AI can rapidly improve its own capabilities. Instead of waiting for months between new machine-learning breakthroughs, we might wait weeks. Imagine AI advancing faster and faster.The idea of self-improving bots is nothing new. When the statistician I. J. Good first introduced the concept of recursive self-improvement in the 1960s, he wrote that machines capable of training their own, even more capable successors would be “the last invention” society ever needed to make. But just a few years ago, any notion of actually making such AI models was on the back burner. When ChatGPT couldn’t reliably add and subtract, let alone search the web, the notion that AI programs would soon be able to do world-class machine-learning research seemed laughable. Even as tech companies made claims about the imminent arrival of “artificial general intelligence,” the capabilities needed for a bot to accelerate or even direct AI research seemed to exceed those of AGI.[Read: Do you feel the AGI yet?]Now, as AI models have become significantly better at coding, Silicon Valley has become hooked on the idea of self-improving machines.… [TheTopNews] Read More.

“Come get ready with me for the day,” a young blond woman says over footage of herself making her bed, arranging her pillows, and weighing her clothing choices. The video is just like any other lifestyle content that influencers post to Instagram and TikTok—right up until she whips out her phone and scrolls through the Kalshi app. “I use it to check the weather to help me pick out an outfit for the day,” she says, modeling a black spandex romper for the camera. “Go ahead and check out the app link below.”Recently, my Instagram feed has been haunted by women explaining how much they enjoy betting on elections, the pop-music charts, and Dancing With the Stars. They are advertising prediction markets such as Kalshi and Polymarket, which let users wager on virtually anything. “The boys can do their parlays and use words I’ve never heard of. But the girls can use their pop culture and educated guesses to make decisions and trade on Kalshi,” a woman says in a TikTok on one of the company’s accounts. Her caption assures me: “Kalshi is for the girls!!!!”So far though, it is not. Prediction markets have a dude problem. Though these sites offer all sorts of wagers—where will Taylor Swift get married? Who will win Survivor?—they have largely become yet another place for men to bet on football and March Madness. In the past six months, 88 percent of trades on Kalshi have been about sports, according to the investment firm Paradigm. The second-largest category, at about 6 percent, is crypto (which is arguably even more bro-ey).[Read: You’ve never seen Super Bowl betting like this before]In an apparent attempt to bridge the gap, both Polymarket and Kalshi are running social-media campaigns that parrot the language of female empowerment and girlish memes. “Girl math says if I make $10 predicting real-life stuff, that coffee was technically free,” a girl in thick-framed glasses says in an ad that Kalshi ran on Facebook and Instagram. “If I’m already scrolling news or pop culture anyway, might as well turn my hot takes into some free iced coffees.” She adds, “It’s kind of addicting, but in a fun way.” (The video has since been removed for not having a necessary ad disclosure.) Some posts, like this one, are advertisements from the companies themselves; some are paid influencer partnerships; and some are either undisclosed partnerships or made by… [TheTopNews] Read More.