The new Fire TV OS update makes navigating content even easier, adding tabs across the top for search, home, movies, TV shows, sports, news, and live content that pull recommendations from all of your subscriptions. Your apps now live on their own row, and you can pin up to 20 favorites instead of just six. You also get support for Alexa Plus, letting you search for specific types of content with your voice, jump to particular scenes, control compatible smart home devices, check sports scores, and more. The update also improves the remote, with a long press of the Home button opening a panel so you can quickly adjust audio or check on devices like Ring cameras.
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Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:,更多细节参见爱思助手下载最新版本
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