Artificial Intelligence

Photo by Robb Miller on Unsplash Just a few months ago, artificial intelligence felt unstoppable. Big Tech stocks were on fire, AI hype was everywhere, and companies like Nvidia, Microsoft, and Meta couldn’t stop talking about their big bets on the future. But this past week? The mood on Wall Street shifted hard. The Nasdaq […]

Image by BoliviaInteligente on Unsplash It’s official: Nvidia is now worth more than the entire cryptocurrency market—combined. On Wednesday, the chipmaker crossed the $5 trillion mark in market valuation, a first in history. That’s just three months after it hit $4 trillion. To put it bluntly, Nvidia is on a run like no other, and

Photo by Growtika on Unsplash We keep asking: Can AI replace software engineers entirely? Technically, maybe. But should it? Let me tell you a story. The promise of AI coding tools has hit the enterprise world like a lightning bolt. Companies see the numbers — a $4.8 billion AI code tools market growing at 23%

Photo by Joshua Reddekopp on Unsplash When it comes to building and deploying AI at scale, you’d think cost would be the biggest concern. After all, compute isn’t cheap. But according to leaders at fast-growing companies like Wonder and Recursion, cost isn’t what’s keeping them up at night. Instead, it’s all about speed, scalability, and

Lawsuits say GPT-4o acted as a “suicide coach” and pushed people toward delusions, raising serious concerns about AI safety Image by Marcel Strauß on Unsplash It’s hard to ignore the promise of artificial intelligence. But for some families, AI hasn’t just missed the mark—it’s devastated their lives. Seven more families have now filed lawsuits against

Photo by Zulfugar Karimov on Unsplash It turns out being polite isn’t a good disguise. According to a surprising new study by researchers across four major universities, AI can fake intelligence better than it can fake human vibes—and that “overly nice tone” might be the biggest giveaway. In a cross-platform study testing how well AI

Photo by Olivie Zemanova on Unsplash A new benchmark and framework set out to make testing AI agents more reliable, reproducible, and ready for the real world If you’ve ever tried evaluating autonomous AI agents running in terminal environments, you know it can feel like chasing smoke. Some tasks break overnight. Others depend on flaky

Photo by Weichao Deng on Unsplash What do giant red crabs and Google have in common? Right now, they both have their eyes (or sensors) on Christmas Island. You might’ve seen headlines recently claiming Google is planning a powerful AI data center on the tiny, crab-covered Australian territory in the Indian Ocean. The suggestion: maybe

Devices, sensors, and systems are getting smarter by keeping AI close to where data lives. Here’s why businesses are leaning in — and why it’s more than just a performance boost. Photo by Hyundai Motor Group on Unsplash For years, AI lived safely in the cloud or within power-hungry data centers, crunching numbers, training models,

Photo by BoliviaInteligente on Unsplash Moonshot AI just released an open-access model that’s outperforming the biggest names in AI—and yes, it’s completely free to use. If you’re into large language models (LLMs), this might be the moment you’ve been waiting for. Today, Moonshot AI—a startup out of China founded just last year—released its new Kimi