A groundbreaking new method lets researchers spot AI models secretly tweaked to generate illegal content—like child abuse material—without ever seeing the harmful output. Traditional testing fails here because creating such content is illegal. Scientists at MIT and Thorn developed a technique that analyzes internal code changes, specifically low-rank adaptations, to detect malicious modifications with 100% accuracy. This breakthrough empowers platforms to block dangerous models before upload, closing a major loophole and offering a vital safety net for AI in the open-source era.

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Parents are cutting back on back-to-school tech spending, down 16% this year, as rising prices and economic concerns push them toward essentials like clothing—up 22%. With AI-driven shopping tools gaining traction, savvy parents are using digital tools to stretch budgets, staying longer on sites and making smarter purchases—even if it means buying fewer gadgets. Retailers are watching closely: the more digitally engaged shoppers are, the more they’re likely to spend, forcing brands to adapt with personalized, AI-powered campaigns to capture their attention.

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Uber’s flipped its script on self-driving cars — no longer building its own fleet, it’s now betting big on becoming the universal platform for both human and robot drivers. With deals signed with over 25 robotaxi companies, Uber’s cars are poised to hit your app soon — but with a twist: they’re lobbying to legally force hybrid networks, where AVs must share the road with human drivers for years, potentially locking out competitors and forcing them onto Uber’s system. This strategy, already pushing through in New Jersey and Washington D.C., marks a dramatic shift from Uber’s past self-driving ambitions — and it’s sparking a fierce debate with Waymo, who wants open competition. The outcome could redefine how we move around cities for decades.

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Autonomous vehicle giants Uber and Waymo are splitting ways in Phoenix, sparking fierce competition and policy showdowns as they race to dominate new markets. NHTSA’s new directive demands AVs clear the way for first responders — a move that hits especially close to home after Waymo’s recent emergency mishap in San Francisco. Meanwhile, federal safety rules are evolving to embrace radical designs like Tesla’s and Zoox’s pedal-less cars, while Rivian pumps in over $1 billion to scale up its R2 SUV production and boost its path to profitability.

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The smart home dream is simple: your space should know what you need, adapting seamlessly without feeling like a tech project. Philips Hue light bulbs are leading the charge, going beyond color with features like motion sensing—making your lights respond to you. It’s not just about automation; it’s about creating the perfect atmosphere, quietly evolving toward a home that truly understands you.

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Spark curiosity and build futures with STEM toys that turn play into powerful learning. From magnetic tiles and coding robots to marble computers and solar system projectors, these hands-on tools ignite creativity, problem-solving, and confidence in kids of all ages. Whether it’s a young builder or an aspiring coder, there’s a challenge that grows with them — and parents and teachers are seeing real results: kids falling in love with science, engineering, and even chess. Updated, affordable, and endlessly engaging, these aren’t just toys — they’re investments in lifelong discovery.

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Apple is finally stepping up on child safety after years of pressure from advocates and legal scrutiny, unveiling a major suite of new features this fall — from “Ask to Browse” in Safari to enhanced content filters and easier parental controls — marking a pivotal shift for the company once known as “just hardware.” While critics like Sarah Gardner of the Heat Initiative call it a necessary, not revolutionary, step, it signals Apple’s growing recognition that protecting kids online is no longer optional. Yet questions remain about accountability and whether these updates truly go far enough in a complex balancing act between safety, privacy, and corporate responsibility.

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Scientists have cracked a major hurdle in drug discovery by blending quantum computing with AI—using a printer-sized quantum machine to boost traditional AI models. This hybrid system designed novel peptide chains, crucial for vaccines and personalized medicine, outperforming AI alone—especially when data is scarce. Developed by Danish researchers during spare time and with leftover funds, the project proves high-risk, high-reward science can thrive outside traditional funding. Next up: scaling to complex proteins and rare diseases, even targeting snake venom antidotes. But with quantum tech still in its infancy, this is just one step in the long road to life-saving drugs.

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