10 fascinating AI news stories you might have missed this week(ish)
Let’s be real—trying to keep up with AI news right now feels like chasing a toddler on roller skates downhill. Every week, there’s something new, slightly unsettling, and undeniably impressive. But don’t worry—I’ve rounded up the top 10 AI stories of the week (according to myself, of course) so you can sound smart at brunch or pretend you’ve totally read that article everyone’s sharing.
Here’s what’s buzzing in the AI world:
1. Experts sound the alarm on AI’s potential takeover (huh?)
Apparently, some very smart and very nervous people think AI could literally take over the world. Experts are raising concerns about Artificial General Intelligence (AGI) developing too quickly without guardrails in place. You know, the type of AI that might someday decide it’s tired of being your unpaid intern and would rather run a nuclear plant. From surpassing human intelligence to possibly messing with infrastructure, the doomsday clock is ticking in silicon. Cue the existential dread—and the calls for regulation.
2. AI trained on human thoughts is now a thing
Synchron and Nvidia have entered their sci-fi era, building an AI system trained directly on human brain activity. Yes, really. The goal is to help people with paralysis control devices using only their thoughts. So far, it’s showing promise in translating brain signals into commands. It’s like mind-reading, but for a good cause. And also slightly terrifying if your brain is full of chaos like ours.
3. Nvidia launches next-ben AI chips and software
At the GTC 2025 conference, Nvidia basically threw a party for its new AI tech. They unveiled DGX Spark (aka superpowered desktop AI machines) and Spectrum-X networking tools, all aimed at making AI models faster, smarter, and hungrier for data. The TL;DR: they’re building the infrastructure for AI’s glow-up. Investors cheered. Developers geeked out. And the rest of us wondered if our laptops are now considered fossils.
4. Apple is using maps data to train AI (yes, really)
Apple is now training AI using images from its “Look Around” Maps feature. They promise the training uses blurred imagery to protect privacy, which is Apple’s way of saying “We’re not Google, pinky swear.” The AI models are expected to improve features like image enhancement and real-world object recognition. Translation: Apple is late to the AI party, but it brought some very fancy chips and dip.
5. Google is overhauling “Search” to compete with AI tools
Tired of ChatGPT stealing its thunder, Google is overhauling Search. They're integrating advanced AI tools to give you smarter, faster, and possibly sassier answers. It’s a full-on AI makeover, and honestly, it’s about time. We’ve all typed “define vibes” at 2 a.m. and deserved better results. This move is Google’s way of saying, “Hey, we’re still cool, too.”
6. AI’s economic jolt: Bank of England’s Governor weighs in (cheerio!)
Bank of England Governor Andrew Bailey has compared the transformative potential of artificial intelligence to that of electricity. Speaking at the University of Leicester, Bailey highlighted AI’s capacity to enhance productivity, reduce costs, and drive continuous improvement, potentially revitalizing the UK’s sluggish economic growth. He emphasized the need for investment in human skills to fully harness AI’s benefits. Additionally, Bailey called for international cooperation to address global trade strains, advocating for multilateral engagement over bilateral tariffs.
7. Want a raise? Learn AI instead of getting another degree
According to a new report, AI skills are now more lucrative than traditional degrees in some industries. That’s right—your “Intro to Prompt Engineering” certificate might be more valuable than your dusty master’s thesis. Employers are scrambling to hire anyone who knows how to train a chatbot or wrangle an LLM. Suddenly your late-night AI tinkering might actually pay off.
8. AI is taking on long, complex projects—and winning
New research shows that AI systems are getting much better at completing long, multi-step projects—stuff that used to take humans days or weeks. Think writing reports, conducting analysis, or building entire applications. The machines are getting more “agent-like,” working across time and tasks without quitting for lunch. Slightly amazing. Slightly intimidating. Hug your project manager.
9. Governments are getting cozy with AI, too
The U.S. General Services Administration is testing two new AI tools to support federal workers with tasks like analyzing data and navigating procurement policies. One of them even comes with a built-in chatbot (finally, government tech with a pulse). If it goes well, expect AI to become a staple across more public services. Bureaucracy, but make it high-tech.
10. Apple spends big to catch up in AI
After lagging behind on generative AI, Apple is throwing a casual $1 billion at Nvidia gear to build a major server cluster. The goal? Boost its own generative AI capabilities and finally give Siri a glow-up. After years of being everyone’s least favorite virtual assistant, Siri might soon have a chance to redeem herself. Maybe.