Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI could kill us all, a number of leading US AI companies are publicly suggesting it’s time to pump the brakes and “pace the frontier” of bleeding-edge AI development.Their motivations are suspect, but leaders at major AI companies — including Anthropic, OpenAI, Google, Microsoft, and X — are at least paying lip service to the idea of a superintelligence slowdown.Will these AI companies actually slow down? Will anyone step in to regulate these companies like they claim to have wanted for years? Will they manage to convince world leaders that the US must “beat China” to superintelligence and go even faster?Read on below for the latest updates in this AI saga. Anthropic proposes three rules for measuring AI progress. King Charles says AI needs “sufficient means of control before it is all too late.” Microsoft AI CEO says AI threats are real, and Anthropic is making it worse OpenAI reveals six more “concerning” AI incidents under its new rules for reporting safety issues. Jensen Huang sure is getting cozy with Trump. A brief history of AI executives calling for regulation Two Google Deepmind researchers lend voices to the AI apocalypse. Guy getting super rich off unfettered AI development says it doesn’t need regulation. Zuck doesn’t want to press pause on AI. Barack Obama takes the middle way on AI. Is Big Tech’s AI slowdown a safety pact or a cartel? What execs and politicians are saying about slowing down AI development Microsoft says ‘people matter more than AI’ following safety concerns China: AI CEOs are “fear mongering.” Sam Altman: Let’s slow down. Is it time for AI companies to press pause? Sam Altman says OpenAI going public in 2026 would be ‘ill-advised’ Anthropic CEO says it’s time to pump the brakes on AI

Good things come to those who wait, which is excellent news for people who have been waiting patiently for an official way to rebind the dodge button in the newly launched title Valheim. Despite the game undergoing five years of early access, the devs have finally added a way to change what you press to dodge an incoming attack.

Although Home Assistant’s terrific IoT paraphernalia management provisions and automation capabilities are worth highlighting, what I really love about this smart home platform is the sheer amount of ways I can customize it. The templates for deploying FOSS services within the app store alone make it possible to extend HASS’ functionality by bringing support for NVR solutions, ESP32 calibration tools, AI services, and a bunch of other utilities. That’s before I even mention the sheer number of wacky and ingenious integrations available on the Home Assistant Community Store.

Among the mainstream streaming platforms, Roku is the least complicated. It might not be the prettiest or least clunky, but it's the most straightforward to use and least customizable. However, I found more beneath the basic UI than I expected once I started exploring its hidden menus. The menus let me do more than launch apps and watch streaming content.

The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Grok Bot and other tools that manage groups of AI agents, each project has "threads" running different tasks in parallel, with a "coordinator" directing everything: Under the hood, each thread is a Claude Code cloud session working on its own branch and copy of the repo. The coordinator keeps work organized, but if any threads work on the same code, the overlap is resolved as a merge conflict just like any other PR. Each thread can further split its delegated work …Read the full story at The Verge.

I still remember installing Microsoft PowerToys for the first time a couple of years ago just because I wanted to replace Windows Search with something simpler. At the time, I just wanted to get away from unnecessary web results and Start menu recommendations when I tried to open an app. But then, when Raycast rolled out on Windows as a beta last year, I decided to give it a shot since I used to rely on it quite a bit on my MacBook Air. Now that it's finally available as a stable build, I feel more comfortable talking about it.

It's been a while since my NAS was just the spot where I stored data. Between Docker containers, self-hosted services, backups, and, of course, media, what I want from the hardware has changed a lot. While my Synology has been a solid companion, I've been on the lookout for something a bit more powerful. Something with a bit more grunt under the hood.

In my early ESP32 tinkering days, I’d only use the microcontroller to test with LEDs, resistors, and other circuitry components. In fact, writing simple C++ programs to perform basic tasks on the ESP32 was the farthest I’d go with this microcontroller. And even then, my entire motivation behind tinkering with ESP32 templates on Arduino IDE was to get some first-hand experience with coding.

I have got a fairly old smart TV, not the archaic kind, but it's about 4-5 years old. And over time, I noticed it slowed down a bit, as is the case with any device. Even our smartphones and computers slow down after a few years. For the longest time, I ignored it because I just assumed that TVs have less powerful processors and don't always age as gracefully.

When you swap over to a smart home, it doesn't really feel like an upgrade when you're standing in the dark for 3 to 5 seconds while your smart bulbs think about turning on.

I copy a ridiculous number of things while working. A useful link from a browser, a sentence from an article, a screenshot, or a file I need in another app can all end up in my clipboard within minutes. The problem starts when I need those things later. I used to treat every copy as a quick transaction: copy it, use it, move on. That worked until I started handling several things at once. I wanted something that could keep up without making my workflow more complicated. That's when I came across Edge Drop, and it changed how I deal with copied content.

Using Docker Desktop meant never having to open a terminal or command prompt on Windows 11. I enjoyed that convenience until I opened the Task Manager to check something and learned that the app’s helper processes were using over a GB of memory on my desktop. And I wasn’t even building or serving anything. I had assumed that stopping a container released the resources.