Nvidia CEO Jensen Huang with an RTX laptop at CES 2025. | Image: Getty Images It's the world's worst kept secret that Nvidia is about to announce its own Arm-powered laptop chips at Computex this weekend, and now Microsoft, Nvidia, and Arm are all openly teasing the announcement. The Windows and Nvidia GeForce accounts on X both posted "A new era of PC" earlier today, and now Arm has followed up with an identical post. All three posts include coordinates pointing to where Computex is hosted in Taipei. Nvidia is holding a Computex keynote in Taipei at 8PM PT / 11PM ET on Sunday night, where it's rumored to be announcing its new N1 and N1x laptop chips.A new era of PC. 25.0528, 121.5990- Windows (@Windows) May 29, …Read the full story at The Verge.

The Pentagon awarded SpaceX a $4.16 billion contract to build missile-tracking satellites linked with President Donald Trump's planned "Golden Dome" defense system, as reported earlier by Bloomberg. In an announcement on Friday, the US Space Force says the sensor-equipped satellites will allow it to detect and track targets from space.The Elon Musk-owned SpaceX - which recently filed for what could be the biggest initial public offering ever - already has contracts with the Space Force to develop other parts of the Golden Dome. Similar to Israel's Iron Dome, Trump's pricey defense system would identify and take down missiles and other airb …Read the full story at The Verge.

Considering how many AI tools and features have launched in the past three years, we've all gotten into the habit of using them all the same way: sending a prompt and hoping for the best. For a lot of AI products, especially conversational chatbots that are meant to generate an answer and nothing more, that's basically fine. The worst case is a reply you don't like, and you try again.

Whenever something doesn't feel right with your body, it's always tempting to reach for Google to see what might be wrong. It's quick, it's free, and it can sometimes make you feel at peace (and sometimes make you panic even more). LLMs have only accelerated this behaviour, with people flocking to AIs to share malaises, upload photos of injuries, and ask about conditions.

There's no question about AI's effect on coding. It has huge ramifications on how people create apps and systems, and curators of software have had to consider whether or not they allow AI-generated code in their projects. Linus Torvalds has already given the green light to AI-generated code (although it still has to be good code), but a maintainer at Flathub has gone the opposite way and banned it, because people just can't behave.

It's getting harder and harder to find a monitor that doesn't have some flavor of OLED panel, which is a good thing because the technology is getting better and better. That leaves monitor manufacturers having to differentiate in other ways, like this Lenovo Yoga Pro 27UD-10.

Google recently made waves with its announcement of the Googlebook platform. Bringing together elements of Chrome OS and Android, along with a lot of AI features, it's the company's latest attempt at winning over laptop users, after Chromebooks mostly gained traction in the entry-level education market.

Smart home automation room tracking is frustrating. Let's say you place a Zigbee motion sensor in your home office, but because you're sitting quietly working at your PC, reading a long thread, or even just browsing YouTube, the sensor assumes the room is empty and plunges you into darkness. The irony of this is that you're sitting in front of a multi-thousand-dollar machine that knows exactly what you're doing down to the millisecond.

NotebookLM has been one of the most reliable tools in my stack for over a year now. Like most of you probably, it's where I go when I've got a pile of, well, anything to make sense of. However, reliability and versatility aren't the same things. NotebookLM is built around a fairly rigid idea of how research should go - you bring it a clean set of sources and it works strictly within them. When you veer off that path the sessions can start to get frustrating pretty quickly.

Whether it’s Perplexity’s reliable and transparent nature or Claude Code’s programming capabilities, there’s no denying that cloud-based large language models can be a godsend for productivity. Most cloud LLMs ship with beginner-friendly UIs, and the fact that you don’t have to put in extra work just to get them up and running makes them pretty convenient for the average user.

After years of sticking to Windows 10, I finally switched to Windows 11 a while back. This was a forced upgrade since I wanted to use my new OLED display's HDR capabilities to the fullest, and also because Windows 10 entered EOL status back in October 2025. I assumed I would have to make peace with some amount of bloatware and the questionable design choices in Windows 11, but I was wrong. With debloating tools and Windows mods making it possible to remove almost everything annoying about the OS, I didn't have to suffer in silence. I could also disable data tracking, advertisements, tips, and suggestions, and whatever else Microsoft calls its shady data-collection tactics. Only then did Windows 11 start to feel like an OS working for me instead of the other way around.

I wanted the problem to be almost anything except the obvious one. My 3D printer was tuned well enough, my bed was clean, my filament was dry, and my slicer profile looked respectable at a glance. Yet print after print came out with ugly walls, rough top surfaces, and seams that looked more like damage than a normal part of the process. I kept changing everything around the failure instead of admitting that my extrusion settings might be wrong.