Industry
Uber robotaxi rides are now available for passengers in Las Vegas
They will start showing up as an option in the Uber app. Uber's and Motional's Hyundai Ioniq 5 autonomous EVs will start appearing as an option for riders in Las Vegas. Passengers requesting for an UberX, Uber Electric, Uber Comfort or Uber Comfort Electric ride may be matched with a Motional robotaxi. They will not be forced to take it, though, and will be notified and given the option to decline and choose a regular ride instead. But if they want to try it, they can boost their chances of getting matched with a robotaxi ride by opting in via the Ride Preferences section under Settings.
China's OpenClaw Boom Is a Gold Rush for AI Companies
China's OpenClaw Boom Is a Gold Rush for AI Companies Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies. George Zhang thought OpenClaw could make him rich, even though he didn't really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating how it could be deployed to manage stock portfolios and make investment decisions autonomously. Zhang, who works in cross-border ecommerce in the Chinese city of Xiamen, was intrigued enough that he decided to try installing OpenClaw in late February. Zhang is one of the many people in China who got swept up in the craze over OpenClaw recently.
Inside the Dirty, Dystopian World of AI Data Centers
This story appears in the April 2026 print edition. While some stories from this issue are not yet available to read online, you can explore more from the magazine . Get our editors' guide to what matters in the world, delivered to your inbox every weekday. The race to power AI is already remaking the physical world. Three Mile Island's cooling towers have until recently served as grave markers for America's nuclear-power industry. A s we drove through southwest Memphis, KeShaun Pearson told me to keep my window down--our destination was best tasted, not viewed. Along the way, we passed an abandoned coal plant to our right, then an active power plant to our left, equipped with enormous natural-gas turbines. Pearson, who directs the nonprofit Memphis Community Against Pollution, was bringing me to his hometown's latest industrial megaproject.
11 wild photos show the Amazon River in its glory
New photography book takes readers on a journey down the world's longest river. Magnificent frigate birds (Fregata magnificens) make long foraging trips far over the Atlantic Ocean. Breakthroughs, discoveries, and DIY tips sent six days a week. The vital Amazon River is a lifeline for flora and fauna alike. The mighty river is celebrated in a new book, .
Anthropic-Pentagon battle shows how big tech has reversed course on AI and war
Less than a decade ago, Google employees scuttled any military use of its AI. The standoff between Anthropic and the Pentagon has forced the tech industry to once again grapple with the question of how its products are used for war - and what lines it will not cross. Amid Silicon Valley's rightward shift under Donald Trump and the signing of lucrative defense contracts, big tech's answer is looking very different than it did even less than a decade ago. Anthropic's feud with the Trump administration escalated three days ago as the AI firm sued the Department of Defense, claiming that the government's decision to blacklist it from government work violated its first amendment rights. The company and the Pentagon have been locked in a months-long standoff, with Anthropic attempting to prohibit its AI model from being used for domestic mass surveillance or fully autonomous lethal weapons.
Generative modeling for protein structures
Analyzing the structure and function of proteins is a key part of understanding biology at the molecular and cellular level. In addition, a major engineering challenge is to design new proteins in a principled and methodical way. Current computational modeling methods for protein design are slow and often require human oversight and intervention. Here, we apply Generative Adversarial Networks (GANs) to the task of generating protein structures, toward application in fast de novo protein design. We encode protein structures in terms of pairwise distances between alpha-carbons on the protein backbone, which eliminates the need for the generative model to learn translational and rotational symmetries. We then introduce a convex formulation of corruption-robust 3D structure recovery to fold the protein structures from generated pairwise distance maps, and solve these problems using the Alternating Direction Method of Multipliers. We test the effectiveness of our models by predicting completions of corrupted protein structures and show that the method is capable of quickly producing structurally plausible solutions.
Future AI chips could be built on glass
A specialized glass layer could make tomorrow's computers faster and more energy efficient. An early version of the glass substrate developed by Absolics. 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 is planning to start commercial production of special glass panels designed to make next-generation computing hardware more powerful and energy efficient. Other companies, including Intel, are also pushing forward in this area.
Compare top AI models with this 79 lifetime license
When you purchase through links in our articles, we may earn a small commission. ChatPlayground AI lets you run a single prompt across multiple top AI models and compare the results instantly--now just $79 for lifetime access. Using AI tools can feel a bit like a juggling act. One model might be great for brainstorming, another for writing code, and another for summarizing documents. Before long, you're bouncing between platforms just to compare results.
The race to solve the biggest problem in quantum computing
The errors that quantum computers make are holding the technology back. Quantum computers won't be truly useful until they can correct their mistakes Quantum computers are already here, but they make far too many errors. This is arguably the biggest obstacle to the technology really becoming useful, but recent breakthroughs suggest a solution may be on the horizon. Errors creep into traditional computers too, but there are well-established techniques for correcting them. They rely on redundancy, where extra bits are used to detect when 0s incorrectly swap to 1s or vice versa.