@kejiqu · Post #4116 · 01/31/2026, 01:44 AM
有人将 Apple 最令人恼火的 bug 变成了浪费人类时间的计分板 一个新网站将 Apple 最为持久的软件 bug 转化为一个幽默的计分板,利用夸张的数学计算来估算这些 bug 造成的集体人类时间浪费。该网站旨在以一种轻松的方式呈现 Apple 长期存在的软件问题,并量化其对用户的影响。9to5Mac 🏷#Apple#bugs#scoreboard#wasted#time 📢频道👥群组📝投稿
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Source channel @githubtrending · Post #14659 · May 1
#cplusplus#arm#convolution#deep_learning#embedded_devices#llm#machine_learning#ml#mnn#transformer#vulkan#winograd_algorithm MNN is a lightweight and efficient deep learning framework that helps run AI models on mobile devices and other small devices. It supports many types of AI models and can handle tasks like image recognition and language processing quickly and locally on your device. This means you can use AI features without needing to send data to the cloud, which improves privacy and speed. MNN is used in many apps, including those from Alibaba, and supports various platforms like Android and iOS. It also helps reduce the size of AI models, making them faster and more efficient. https://github.com/alibaba/MNN
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@kejiqu · Post #4116 · 01/31/2026, 01:44 AM
有人将 Apple 最令人恼火的 bug 变成了浪费人类时间的计分板 一个新网站将 Apple 最为持久的软件 bug 转化为一个幽默的计分板,利用夸张的数学计算来估算这些 bug 造成的集体人类时间浪费。该网站旨在以一种轻松的方式呈现 Apple 长期存在的软件问题,并量化其对用户的影响。9to5Mac 🏷#Apple#bugs#scoreboard#wasted#time 📢频道👥群组📝投稿