๐ Vision Pro Redefine Tech Style, Huawei's AI Shift & Vanishing Tech
Todayโs pick
Vision Pro Teardown-Why Those Fake Eyes Look So Weird. The strangest thing about the Vision Pro is also the thing that makes it most uniquely Apple: itโs got a big shiny bubble glass front, which makes it stand out from the aluminum- and plastic-shrouded competition, even when itโs off. And when itโs on, itโs even strangerโinstead of being fully transparent, behind the glass, an odd lenticular screen displays a 3D-ish video of the userโs eyes, emulating their gaze. By Charlie Sorrel via iFixit
๐: An X-ray of the vision pro, the density and complexity of it's interior parts is just insane. - Sterling Crispin (@sterlingcrispin)
AI chip demand forces Huawei to slow smartphone production - sources. Soaring appetite for Huawei's (HWT.UL) artificial intelligence (AI) chips coupled with manufacturing constraints has forced the Chinese tech giant to prioritise AI and slow production for its premium Mate 60 phones, people familiar with the matter said. Byย Fanny Potkin via Reuters
๐: Worth a read. Al chip demand forces Huawei to slow smartphone production Soaring appetite for Huawei's AI chips coupled with manufacturing constraints has forced the Chinese tech giant to prioritise AI and slow production for its premium Mate 60 phones, sources said. - Josh Ye (@ByJoshYe)
The best way to reach new readers is through word of mouth. If you click THIS LINK in your inbox, itโll create an easy-to-send pre-written email you can just fire off to some friends.
10 technologies that won't exist in 5 years. Some technologies are more important than others โ indeed, some are life or death. Technological progress is not a mystical force that delivers the most important ones first. Some problems are hard to solve, and won't make you much money even if you succeed, and don't get talked about on the news. Jacob Trefethen's blog
๐: striking table and call for funding - Sam Altman (@sama)
How to detect poisoned data in machine learning datasets. Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, months or even years of work they would otherwise use to undo the damage that poisoned data sources caused. By Zac Amos, ReHack via VentureBeat
๐: How to #detect #PoisonedData in #MachineLearning datasets - Spiros Margaris (@SpirosMargaris)
Amazon strikes ad data deal with Reach as Google kills off cookies. Tech giant Amazon has struck a deal with the UK's largest publisher Reach over obtaining customer data to target online advertising, as the media industry scrambles to respond to Google's move to axe โcookiesโ. In one of the first such agreements in Europe, Amazon and Reach unveiled a partnership on Monday designed to compensate for the loss of โthird partyโ cookies that help gather information about users by tracking their activity across websites to help target advertising. By Daniel Thomas via Financial Times
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