Nvidia’s $100 billion investment in OpenAI guarantees the startup will buy millions of Nvidia GPUs. Oracle then spends $40 billion on Nvidia chips to power OpenAI’s $300 billion cloud deal. The circular economy fuels massive paper gains but raises bubble concerns.
Companies like Amazon, UPS, and Target have announced over 60,000 layoffs this year. But experts say the real drivers are old-school cost-cutting and economic anxiety, not AI taking jobs—at least not yet.
Scientists are creating lab-grown cancer models that mimic human biology with stunning accuracy. These new approaches could finally give us a window into cancer’s earliest stages, something that’s been nearly impossible to study until now.
Intel is making some surprisingly smart moves in the AI and graphics space. Their latest updates could actually make them competitive in areas where they’ve been lagging behind. It’s worth paying attention to.
As artificial intelligence becomes embedded in governance systems worldwide, we face a critical juncture. The choices made today will determine whether AI becomes democracy’s guardian or its greatest threat.
Marc Benioff’s billion-dollar bet on AI agents faces mounting challenges as adoption numbers disappoint and technical complexity hampers implementation. The Salesforce CEO’s visionary AI strategy confronts enterprise reality.
As AI reshapes corporate hiring and market valuations, the Federal Reserve admits it lacks tools to measure the economic impact. This wait-and-see approach could prove costly when AI-driven productivity gains and job displacement accelerate.
As AI models grow exponentially more powerful, they’re colliding with the unyielding laws of physics. The industry’s survival depends on solving problems that traditional computing never faced.
A startling claim that 80% of ransomware attacks are AI-driven has been withdrawn by MIT Sloan after security experts exposed fundamental flaws. The incident reveals how AI hype is being monetized through questionable research partnerships.
Even the most advanced AI models struggle with tasks humans consider simple, like finding and passing butter. New research exposes critical gaps in spatial reasoning that could delay real-world robotics applications by years.
