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Cewsco

All-in-one AI assistant — chat, images, voice & market data Discussion | Link

2026-06-26 04:33 5 原文
AI 资讯 The Verge AI

Score a discounted Xbox console before the prices jump

Microsoft announced today that the price of all Xbox models will rise in August, the second time in less than a year as memory prices continue to wreak havoc on every industry from cars to computing. Thankfully, we’re already out looking for Prime Day deals, and we were able to find some discounts on both […]

Brad Bourque 2026-06-26 04:18 13 原文
AI 资讯 Reddit r/MachineLearning

Kuma: compiling PyTorch models into self-contained WebGPU executables [P]

I've been experimenting with a compiler/runtime project that I'm not entirely sure is a good idea, so I'd love some feedback from people who've worked on deployment systems. The idea is to compile an exported PyTorch model into a self-contained package that contains: graph binary weights backend kernels (currently WGSL) runtime metadata A lightweight runtime loads that package and executes it directly in the browser with WebGPU. No Python, no server inference, and no dependency on a heavyweight runtime. Right now the attached demos are just neural video representations because they were easy to test, but the motivation is actually operator networks and scientific ML, where I like the idea of distributing a single portable artifact. The repo is here: https://github.com/Slater-Victoroff/Kuma I'm mostly looking for architectural feedback. Some questions I'm wrestling with: Is embedding backend kernels in the artifact a terrible idea? Is this solving a real deployment problem or just reinventing ONNX Runtime? Are there existing systems I should study that take a similar approach? If you were designing a deployment format today, what would you change? I'd especially appreciate thoughts from people who've worked on ONNX, IREE, TVM, ExecuTorch, MLIR, or similar compiler/runtime projects. submitted by /u/svictoroff [link] [留言]

/u/svictoroff 2026-06-26 04:17 5 原文
AI 资讯 The Verge AI

Instagram wants to monopolize your attention

This week, Instagram launched a series of new features for its smart TV app that are all designed to get people to spend more time on the platform through the biggest screens in their homes. In addition to vertical Reels, Instagram for TV - which is currently available for Amazon Fire TV, Google TV, and […]

Charles Pulliam-Moore 2026-06-26 04:10 12 原文
AI 资讯 The Verge AI

RAMageddon just got extremely real

As far as prices go, Apple is kind of a reverse canary in the coal mine. With its famously generous margins and immense purchasing volume, it can afford to ride out price fluctuations in its supply chain in a way no other consumer tech company can. So when Apple raises prices across nearly all of […]

Allison Johnson 2026-06-26 04:00 6 原文