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Apple's standard iPhone 18 could feature 12GB of memory for the first time, according to analyst Dan Nystedt.
— Dan Nystedt (@dnystedt) April 24, 2026
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John Ternus was unavoidable when Apple debuted the Macbook Neo. He kicked off an intimate media event for the Neo, introducing it as a transformative machine for Apple thanks to its low $599 cost ($499 for education customers) and premium build quality. He was interviewed on Good Morning America, the sort of prominent media feature CEO Tim Cook typically handles. And when I asked Apple workers about the Neo at its launch event, they almost always brought up Ternus' vision of the laptop.
For all intents and purposes, Tetanus was Apple's frontman for the MacBook Neo.
Ternus is slated for his coronation as Apple's CEO on September 1, and the Neo is not only a feather in his cap, but a likely indication of the company's approach to products going forward. It's a sign that Apple is getting more comfortable taking risks.
Apple lives and dies on its own premium image. It completely gave up on making cheap iPhones like the SE and 5C, and the $599 iPhone 16e and 17e are more expensive than typical mid-range Android phones (though the $249 Apple Watch SE is admittedly one of the cheaper smartwatches around.). It was risky to shove a mobile processor into a full-fledged computer, which could have made it too weak. And it was a gamble to stick with a meager 8GB of RAM, practically sacrilegious within the Apple pantheon. It's not breaking new ground for product categories, but the Neo, in being a budget laptop at all, is surprisingly un-Apple.
A c
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Apple's first foldable iPhone, dubbed the "iPhone Ultra," could be missing at least five key features present on the iPhone 18 Pro models despite its $2,000 price point.
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DeepSeek has released its latest AI models, the V4 Pro and Flash versions, a bit over a year after it went viral and became the top rated free app on Apple's App Store in the US. "Welcome to the era of cost-effective 1 million context length," DeepSeek said in its announcement. Context length is what you call the maximum number of tokens that an AI model can remember, so the bigger it is, the more coherent and consistent an AI is when it comes to extended conversations. OpenAI's r
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