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The U.S. is racing to triple its nuclear power by 2050, but soaring uranium prices and lack of domestic supply threaten the goal—until Fluxnium emerges with a game-changing solution: extracting uranium from seawater using smart polymer fibers. Backed by the DOE and major energy players like Constellation Energy, this startup just landed $7M in seed funding to scale a tech that could slash costs, avoid geopolitical risks, and power America’s clean energy future—including AI data centers—for millennia.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://techcrunch.com/2026/09/16/clean-tech-startup-fluxnium-found-a-way-to-tap-50000-years-worth-of-nuclear-fuel/

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Apple’s iPhone 18 Pro looks almost identical to the 17 Pro—same cases, same sleek design—but packs a few subtle upgrades that might excite tech fans. The big headline? A moving aperture that adjusts between f/1.48 for low-light shots and f/4 for sharp close-ups, offering better control in tricky lighting. Image quality gains are minor, though—you’ll barely notice unless you’re shooting in dim light or macro mode. Even more exciting: manual camera controls finally arrive in the native app, letting you tweak shutter speed, white balance, and aperture (though the on-screen dials are tiny). Under the hood, it’s powered by the new A20 Pro chip with improved thermal management, plus Apple’s own modem (which seems stable). The Dynamic Island shrinks, hiding Face ID underneath. Overall, it’s a solid, incremental update—not a revolution. If you crave something groundbreaking, wait for the foldable Duo dropping next month.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.theverge.com/tech/995945/iphone-18-pro-max-review-camera-aperture

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https://sources.thednn.ai/511d9669e38912e4

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Meta’s rumored new smart glasses, called Luna, could debut as early as next week at their Connect event — and they might skip the camera entirely. Designed to look like regular eyewear, Luna features six microphones for chatting with Meta AI and a new Muse agent, plus built-in speakers. This move aims to sidestep the privacy backlash that plagued their current glasses, which have been banned in courtrooms and some venues due to covert recording. While Luna is expected to ship in October with multiple styles, whispers suggest Meta’s also working on AR glasses called Phoenix, slated for 2027. Even without a camera, Luna’s microphone-heavy design and Meta’s trust issues could still spark concern.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.theverge.com/tech/996138/meta-luna-ray-ban-smart-glasses-camera-free-connect

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Amazon’s launched Alexa Plus in India, packed with Hindi support and smarter conversation skills—remembering context, switching between Hindi and English mid-sentence, and handling complex tasks like grocery orders or smart home control. Early access is live for both language groups, then free for Prime members; others pay ₹2,000/month. It’s deeply integrated with local services like Swiggy, Zomato, travel sites, and music apps including Amazon Music and JioSaavn. After testing since June, this upgrade follows Alexa’s 2017 India debut and 2019 Hindi rollout, capitalizing on India’s 600M+ Hindi speakers. Smart home device sales jumped 20% last year, and Alexa Plus—first announced in 2025, rolled out to U.S. users in 2026—is now expanding globally to the UK, Canada, and Germany with localized language support.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://techcrunch.com/2026/09/16/amazon-launches-alexa-in-india-with-hindi-support/

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Tesla’s new Cybercab, designed for hands-free, reclined rides, has sparked a safety debate. While the car encourages comfort, Tesla’s rider guide insists on limiting recline to 35 degrees and keeping seatbelts tight—citing crash injury risks. Federal data reveals over 40 deaths in accidents involving reclined passengers in the past decade, likely an undercount. As self-driving cars reshape how we sit in vehicles, the NHTSA is revisiting outdated safety standards, developing advanced crash-test dummies like THOR-AV to simulate real-world positions. Meanwhile, the U.S. lags behind countries like China in adopting these innovations, raising alarms about falling behind on critical safety updates as automotive use evolves.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.wired.com/story/how-self-driving-cars-might-change-crash-testing-forever/

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https://sources.thednn.ai/7a69a20b51e33a30

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WIRED just launched a new app to keep you ahead of the curve—packed with personalized daily updates, original videos, narrated stories, and live Q&A sessions with experts. Whether you’re reading, watching, or listening, it’s designed to make their cutting-edge tech journalism more interactive and accessible. With Apple unveiling foldable iPhones and smart glasses on the horizon, plus apps like ZuckOff detecting hidden recordings, WIRED’s move is all about staying connected to tomorrow’s tech right now.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.wired.com/story/introducing-the-wired-app/

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Prediction markets like Polymarket and Kalshi are transforming into full-fledged media powerhouses, blending forecasting with news-style content to navigate legal ambiguity and capture audience attention. By partnering with giants like Dow Jones, CNN, and CNBC, they’re embedding themselves in the information ecosystem, leveraging their predictive accuracy as a credibility boost. Polymarket’s bold “News 2.0” branding and hires of figures like Nate Silver signal a serious editorial push, while Meta’s interest hints at a broader industry shift. As these platforms grow, they’re not just betting on outcomes—they’re reshaping how we consume news, blurring lines between finance, prediction, and journalism.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.wired.com/story/prediction-markets-polymarket-media-company-kalshi/

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A daring group of hackers pulled off a jaw-dropping breach on a Flock Safety camera, copying its data and exposing how it tracks not just vehicles—but people. Despite Flock’s claims of encryption, the hackers cracked it by accessing unencrypted Android partitions and snagging an encryption key, unlocking massive troves of video footage. They’re sharing every step to educate others—and to dismantle the myth that these cameras are invulnerable. What’s even more unsettling? The cameras actively detect human presence, raising serious privacy alarms. This isn’t just vandalism—it’s a tech exposé that could reshape how we think about surveillance in our cities.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.wired.com/story/hackers-flock-camera-data-shows-how-system-works/

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https://sources.thednn.ai/513c0b5608683ce8

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Silicon Valley’s AI race is cooling down as tech giants warn the technology could be dangerously powerful — and now they’re calling for global cooperation with China to manage the risks. While U.S. allies aim to maintain a lead by cracking down on chip smuggling and tech transfers, China sees the offer as unequal leverage, not true partnership. Chinese experts echo the urgency but question U.S. motives, fearing AI could amplify disinformation, cyberattacks, and military threats — while suspecting American safety calls are really about market advantage. Despite the mistrust, early talks hint at possible high-level meetings — signaling that even fractured alliances might find common ground on AI’s future.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.wired.com/story/china-isnt-buying-silicon-valley-call-for-ai-slowdown/

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https://sources.thednn.ai/493a35dd82c06a82

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A new AI model called Jev, from TypeSafe, is shaking things up by making real-time, type-safe decisions inside software—not just churning out text. Built by Diogo Almeida, one of ChatGPT’s original architects, Jev uses Reinforcement Learning for Calibrated Decisions to deliver precise, confident answers in milliseconds, slashing costs and outperforming traditional models by over 190x. Designed to plug seamlessly into code, it’s perfect for developers needing speed, accuracy, and reliability—especially in real-time systems like games. Early access is live today.

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This is an automated, high-level news summary based on public reporting.
Sources:
https://www.artificialintelligence-news.com/news/chatgpt-pioneer-launches-jev-model-for-programmatic-logic/

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