Plus: NASA unveiled plans for three uncrewed missions to the Moon this year. Here at we understand exactly how relentless the pace of news from the world of artificial intelligence feels New models and capabilities crop up as fast as we can cover them, and the ripple effects they send through tech and wider society are never far behind. Our unique strength lies in cutting through the day-to-day noise to help you understand what's really happening, and what lies around the corner. That's why we created our list of 10 Things That Matter in AI Right Now, unveiled at our flagship AI event EmTech AI a few weeks back ( check the list out if you haven't already!) And it's why we publish so many stories dedicated to explaining how AI works, and what's coming next . We also regularly run live subscriber-only Roundtables events--you can still catch up on last week's session, where we explored how AI might enter the physical realm via world models.

Plus: Google, Microsoft, Amazon and Meta have all set AI spending records. In the past, getting to the North Pole involved a treacherous trip through ice many meters thick. But last year, a research vessel encountered open water and thin ice, which created an easy passage. It provided a reminder of how quickly the Arctic is changing. Now scientists are digging deep below the seabed to find out if the Arctic Ocean was ever ice-free--and what that could mean for the future of Earth's northernmost waters. Here's what they hope to discover .

WIRED spoke with Bloomberg's chief technology officer about the big, chatbot-style changes coming to the iconic platform for traders. For its famous intractability, the Bloomberg Terminal has long inspired devotion, bordering on obsession . Among traders, the ability to chart a path through the software's dizzying scrolls of numbers and text to isolate far-flung information is the mark of a seasoned professional. But as a greater mass of data is fed into the Terminal--not only earnings and asset prices, but weather forecasts, shipping logs, factory locations, consumer spending patterns, private loans, and so on--valuable information is being lost. "It has become more and more untenable," says Shawn Edwards, chief technology officer at Bloomberg.

Plus: DeepSeek has unveiled its long-awaited new AI model. When ChatGPT was released in late 2022, it showed how easily generative AI could create human-like text. This quickly caught the eye of cybercriminals, who began using LLMs to compose malicious emails. Since then, they've adopted AI for everything from turbocharged phishing and hyperrealistic deepfakes to automated vulnerability scans. Many organizations are now struggling to cope with the sheer volume of cyberattacks. AI is making them faster, cheaper, and easier to carry out, a problem set to worsen as more cybercriminals adopt these tools--and their capabilities improve.

Plus: Elizabeth Warren wants answers on xAI's access to military data. Human-made glass is thousands of years old. But it's now poised to find its way into the AI chips used in the world's newest and largest data centers. This year, a South Korean company called Absolics will start producing special glass panels that make next-generation computing hardware more powerful and efficient. Other companies, including Intel, are also pushing forward in this area. If all goes well, the technology could reduce the energy demands of chips in AI data centers--and even consumer laptops and mobile devices.

Plus: GPS jamming has become an invisible battle in the Middle East. Much of the spotlight on AI in the Iran conflict has focused on models like Claude helping the US military decide where to strike. But a wave of "vibe-coded" intelligence dashboards--and the ecosystem surrounding them--reflect a new role that AI is playing in wartime: mediating information, often for the worse. These sorts of intelligence tools have much promise. Yet there are real reasons to be suspicious of their data feeds. The AI firm wants to stop the Pentagon from blacklisting it.

For decades, handmade narco subs have been some of the cocaine trade's most elusive and productive workhorses, ferrying multi-ton loads of illicit drugs from Colombian estuaries toward markets in North America and, increasingly, the rest of the world. Now off-the-shelf technology--Starlink terminals, plug-and-play nautical autopilots, high-resolution video cameras--may be advancing that cat-and-mouse game into a new phase. Uncrewed subs could move more cocaine over longer distances, and they wouldn't put human smugglers at risk of capture. And law enforcement around the world is just beginning to grapple with what this means for the future. This story is from the next print issue of magazine, which is all about crime. Google DeepMind is calling for the moral behavior of large language models--such as what they do when called on to act as companions, therapists, medical advisors, and so on--to be scrutinized with the same kind of rigor as their ability to code or do math.

It's been nearly 20 years since Apple was this untethered from its tech peers, giving investors an appealing alternative to the artificial intelligence-fueled volatility that has gripped most other corners of the stock market in recent weeks. Apple's 40-day correlation to the Nasdaq 100 Index tumbled to 0.21 last week, the lowest since 2006, according to data compiled by Bloomberg. Its correlation with the benchmark has been on the decline since May, when it reached 0.92, as Apple's decision to mostly sit out the AI arms race has turned it into an outlier compared with many of its rivals. A correlation of 1 means the two securities are moving in perfect unison, while a reading of -1 signals they are moving opposite each other. "Apple's lack of correlation is 100% a positive right now," said Art Hogan, who helps oversee $25 billion as chief market strategist at B. Riley Wealth.

Plus: Anthropic's new tools are freaking out the markets Every time OpenAI, Google, or Anthropic drops a new frontier large language model, the AI community holds its breath. It doesn't exhale until METR, an AI research nonprofit whose name stands for "Model Evaluation & Threat Research," updates a now-iconic graph that has played a major role in the AI discourse since it was first released in March of last year. The graph suggests that certain AI capabilities are developing at an exponential rate, and more recent model releases have outperformed that already impressive trend. That was certainly the case for Claude Opus 4.5, the latest version of Anthropic's most powerful model, which was released in late November. In December, METR announced that Opus 4.5 appeared to be capable of independently completing a task that would have taken a human about five hours--a vast improvement over what even the exponential trend would have predicted. But the truth is more complicated than those dramatic responses would suggest.

Elon Musk Is Rolling xAI Into SpaceX--Creating the World's Most Valuable Private Company By fusing SpaceX and xAI--which acquired X last year--Elon Musk tightens his grip over technologies that shape national security, social media, and artificial intelligence. Elon Musk's rocket and satellite company SpaceX is acquiring his AI startup xAI, the centibillionaire announced on Monday. In a blog post, Musk said the acquisition was warranted because global electricity demand for AI cannot be met with "terrestrial solutions," and Silicon Valley will soon need to build data centers in space to power its AI ambitions. "In the long term, space-based AI is obviously the only way to scale," Musk wrote. "The only logical solution therefore is to transport these resource-intensive efforts to a location with vast power and space. I mean, space is called'space' for a reason."