179 summarised stories about Apple, each linking back to the original source. Browse all topics →
The Verge 1 month ago 46 ● 10 sources
The Vergecast discussed Apple’s launch event, including CEO John Ternus’s first appearance as CEO, iPhone updates, and concerns about AI features on the Apple Watch. The iPhone 18 Pro’s variable aperture camera was a specific focus during the conversation. The episode shifts from early impressions of Apple’s first folding phone to evaluating camera details and how watch AI features could affect future product direction.
Trending Topics 1 month ago 39 ● 10 sources
Apple unveiled its first foldable iPhone, the iPhone Duo, which drew market attention despite not being positioned around artificial intelligence. The 256 GB US starting price is $1,999, with pre-orders opening in mid-October and retail availability in 70+ countries a week later. The rollout shifts focus to foldable hardware and to a region-limited Siri AI rollout, while AI monetisation plans move toward iCloud+ limits as investors watch whether this affects replacement cycles, pricing, and services growth.
The Verge 1 month ago 52 ● 5 sources
The article argues Apple should build a single “home computer” that merges a Wi‑Fi router, an AI-powered smart home hub, and local storage. It points to John Ternus’s first keynote as Apple CEO, where he described an “intelligent personal hub” focused on local processing and privacy. It says an upcoming smart home hub should act as infrastructure (not just a screen-based interface) so it can run tasks locally in your home.
Product Hunt 1 month ago 24
Paste launched an “Intelligent Clipboard” feature that predicts which copied items you’ll paste next based on what you’re working on. It launched today and is powered by Apple Intelligence. This adds clipboard suggestions to Paste while running privately on the user’s Mac.
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15 October 2026
Meta used today’s open-weight model drop to make a point: “frontier” doesn’t have to stay in the datacenter. Muse Spark Open ships as an 816B multimodal model with a 1 million–token context window, paired with Muse Code for coding and agent-style workflows—and it comes with strings. The license is free for use and fine-tuning, but it adds revenue-linked conditions (including advance notice above $20 million) and asks developers to display “Built with Muse Spark Open.” Running locally is a hardware project in itself: Meta says you need about 1TB of RAM. Still, the rollout is broad—Meta is making it available via multiple API platforms for desktop-focused tasks, and now through Amazon SageMaker JumpStart for deploy-to-your-own-AWS-account use, including BF16 and a 4-bit NVFP4 variant.
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