Two major open-source virtualization projects have released significant updates. QEMU 10.2 adds IO_uring support for better performance, while Cloud Hypervisor 49 enhances AArch64 and Microsoft Hyper-V compatibility.
AI tools are letting marketers produce work at a volume that would have required a full agency just a few years ago. But unlimited creative firepower creates a new, more challenging problem.
Google is testing a new AI tool called Disco that can turn your open Chrome tabs into custom web applications. Built on Gemini 3, it creates “GenTabs” for tasks like study or travel planning through natural language commands. The experimental tool is currently limited to Mac users via Google Labs.
The next wave of AI isn’t just about chatting. It’s about agents that act on your behalf, and they need access to your calendar, emails, and even your operating system to work. This creates a profound new threat to privacy and cybersecurity.
According to Fortune, finance leaders are declaring 2026 the year for enterprise-scale AI, shifting from experimentation to building foundations for deployment. They predict AI will drive faster decisions and leaner operations, but demand new rigor in data governance and oversight.
Reuters Breakingviews spins a fictional tale for 2026. It predicts the AI infrastructure boom could sputter, leaving a glut of empty data centers ripe for reinvention by opportunistic entrepreneurs.
Microsoft donated $1 million for Donald Trump’s 2025 inauguration, but CEO Satya Nadella skipped the event. This set the tone for a year where the tech giant could no longer avoid politics.
Fearing a bubble in U.S. tech stocks, global investors are increasing wagers on Chinese AI companies. They’re betting on giants like Alibaba and a wave of chipmaker IPOs, drawn by lower valuations and China’s push for tech self-reliance.
Everyone wants to deploy AI agents, but most are choosing the wrong tasks. A new article lays out five essential rules for picking use cases that deliver real ROI and avoid costly automation mistakes. It starts with focusing on simple, repetitive work you already understand deeply.
A Swiss investigation reveals Palantir was rejected by government agencies at least nine times over seven years, largely due to data access fears. This has sparked calls from UK MPs for a review of Palantir’s major NHS and Ministry of Defence contracts.
