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 There has been a lot of discussion lately about skyrocketing memory chip prices, and how that might impact the iPhone and other Apple devices.
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 Sonos this week kicked off a new home theater equipment sale, with big discounts aimed at anyone preparing for a Super Bowl party. This sale includes deals on Sonos smart speakers, sound bars, subwoofers, and more.
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Cooking in the air fryer is fast and easy. Here's how to make (almost) any recipe air fryer friendly.
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While it's important to stay informed about what's going on in the world, endlessly scrolling through your social media feeds and absorbing what's likely to be a largely negative influx of information can't be great for your mental wellbeing. Perhaps with an eye on stopping you from doomscrolling, developer Lyra Rebane created Xikipedia, a social media-style feed of Wikipedia entries.
The web app algorithmically displays info from Simple Wikipedia. "It is made as a demonstration of how even a basic non-[machine learning] algorithm with no data from other users can quickly learn what you engage with to suggest you more similar content," the Xikipedia landing page reads. "No data is collected or shared here, the algorithm runs locally and the data disappears once you refresh or close the tab."
You can opt to see entries from certain categories (including custom ones) and you can like "posts," each of which is a summary of the relevant Simple Wikipedia entry. Liking a post makes it more likely for posts from the same category, parent categories and linked articles to appear in your feed, Rebane explained.
You can click or tap on a post to visit the full article. It's important to note that, since Xikipedia pulls text and images from random articles, you'll probably see some NSFW material if you scroll for long enough, so be warned. You'll also likely need to wait a beat for Xikipedia to load its 40MB of data.
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Kick-start your 2026 strength training journey with these expert tips and strategies.
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 Apple's first foldable could feature the biggest ever iPhone battery and eclipse rival devices, according to a known leaker.
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Imagine running fleets of iPhones that alert you when unexpected security-related incidents take place, or when otherwise legitimate service requests arrive from devices at an unexpected time or location. Imagine management and security software that not only identified these kinds of anomalies but gave you useful advice to help remediate the problem.
This, and more, is the kind of protection Jamf hopes to deliver using generative AI tools.
Generative IT for Apple admins
Jamf believes generative AI can be a big benefit to tech support and IT admin, and talked about its efforts at the end of an extensive Jamf Nation User Conference (JNUC) keynote. Akash Kamath, the company's senior vice president, engineering, explained that just as the Mac made computing personal, genAI makes AI personal.
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