For a few days recently, the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself as a social network for bots. As the website's tagline puts it: "Where AI agents share, discuss, and upvote. Launched on January 28, Moltbook went viral in a matter of hours. It's been designed as a place where instances of a free open-source LLM-powered agent known as OpenClaw (formerly known as ClawdBot, then Moltbot), could come together and do whatever they wanted. But is Moltbook really a glimpse of the future, as many have claimed? More than a billion people worldwide suffer from a mental-health condition, according to the World Health Organization. The prevalence of anxiety and depression is growing in many demographics, particularly young people, and suicide is claiming hundreds of thousands of lives globally each year. Given the clear demand for accessible and affordable mental-health services, it's no wonder that people have looked to artificial intelligence for possible relief. Millions are already actively seeking therapy from popular chatbots, or from specialized psychology apps like Wysa and Woebot. Four timely new books are a reminder that while the present feels like a blur of breakthroughs, scandals, and confusion, this disorienting time is rooted in deeper histories of care, technology, and trust. Making AI Work, MIT Technology Review's new AI newsletter, is here For years, our newsroom has explored AI's limitations and potential dangers, as well as its growing energy needs . And our reporters have looked closely at how generative tools are being used for tasks such as coding and running scientific experiments . But how is AI being used in fields like health care, climate tech, education, and finance? How are small businesses using it? And what should you keep in mind if you use AI tools at work? These questions guided the creation of Making AI Work, a new AI mini-course newsletter. Read more about it, and sign up here to receive the seven editions straight to your inbox. The number of civil lawsuits it's pursuing has sharply dropped in comparison to Trump's first term. It's the latest example of Brussels' attempts to rein in Big Tech. Local governments and banks are only too happy to oblige promising startups. Cryptocurrency is now fully part of the financial system, for better or worse. "Agentic engineering" is the next big thing, apparently. Runners had long suspected its suggestions were pushing them towards injury. Only around three dozen supporters turned up. Its menswear suggestions are more manosphere influencer than suave gentleman. "There is no Plan B, because that assumes you will fail.

Years of layering new tools on old infrastructure has left enterprise IT brittle and fragmented. For decades, enterprises reacted to shifting business pressures with stopgap technology solutions. To rein in rising infrastructure costs, they adopted cloud services that could scale on demand. When customers shifted their lives onto smartphones, companies rolled out mobile apps to keep pace. And when businesses began needing real-time visibility into factories and stockrooms, they layered on IoT systems to supply those insights. Each new plug-in or platform promised better, more efficient operations.

AI is driving unprecedented investment for massive data centers and an energy supply that can support its huge computational appetite. One potential source of electricity for these facilities is next-generation nuclear power plants, which could be cheaper to construct and safer to operate than their predecessors. Watch a discussion with our editors and reporters on hyperscale AI data centers and next-gen nuclear--two featured technologies on the MIT Technology Review list . China figured out how to sell EVs. Now it has to deal with their aging batteries. Here are our picks for the advances to watch in the years ahead--and why we think they matter right now.

While AI is all over the stages, Trump is dominating the side conversations. I've been here for two days now, attending meetings, speaking on panels, and basically trying to talk to anyone I can. And as far as I can tell, the only things anyone wants to talk about are AI and Trump. Davos is physically defined by the Congress Center, where the official WEF sessions take place, and the Promenade, a street running through the center of the town lined with various "houses"--mostly retailers that are temporarily converted into meeting hubs for various corporate or national sponsors. So there is a Ukraine House, a Brazil House, Saudi House, and yes, a USA House (more on that tomorrow). There are a handful of media houses from the likes of CNBC and the .

In these politically divisive times, there's one thing we all agree on--we don't want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of specialized computer chips running in parallel to perform the complex calculations required by advanced AI models. A single facility can cover millions of square feet, built with millions of pounds of steel, aluminum, and concrete; feature hundreds of miles of wiring, connecting some hundreds of thousands of high-end GPU chips, and chewing through hundreds of megawatt-hours of electricity. These facilities run so hot from all that computing power that their cooling systems are triumphs of engineering complexity in themselves. But the star of the show are those chips with their advanced processors.

This year, hype around AI really exploded, and so did concerns about AI's environmental footprint. We also saw some surprising biotech developments. It's been a busy and productive year here at . We published magazine issues on power, creativity, innovation, bodies, relationships, and security . We hosted 14 exclusive virtual conversations with our editors and outside experts in our subscriber-only series, Roundtables, and held two events on MIT's campus. And we published hundreds of articles online, following new developments in computing, climate tech, robotics, and more.

The Cybertruck, sycophantic AI, and humanoid robots all made this year's list of the biggest technology failures. Welcome to our annual list of the worst, least successful, and simply dumbest technologies of the year. This year, politics was a recurring theme. Donald Trump swept back into office and used his executive pen to reshape the fortunes of entire sectors, from renewables to cryptocurrency. The wrecking-ball act began even before his inauguration, when the president-elect marketed his own memecoin, $TRUMP, in a shameless act of merchandising that, of course, we honor on this year's worst tech list. We like to think there's a lesson in every technological misadventure.