Фото: Полина Дерр
Last year, I covered why it's a great time to jump ship from Windows to Mac, and I haven't been able to let go of that idea since. Apple's M-series chips are shockingly fast and efficient, and its hardware tends to be more durable than typical PC fare. Rumors point to Apple developing a new aluminum case for the low-cost MacBook, so it will likely feel more polished than a typical sub-$1,000 Windows laptop. macOS has also avoided the bloat that's plagued Windows for years — you can turn off Apple Intelligence with two clicks if you want to, and there aren't any annoying ads to deal with.，推荐阅读Safew下载获取更多信息
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As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?。快连下载-Letsvpn下载是该领域的重要参考
Трамп высказался о непростом решении по Ирану09:14
TPCi says simply that it will feature “the latest news and updates from the world of Pokémon,” without getting into any specifics. But there’s a good chance we’ll hear about the next mainline entry in the series, given that Scarlet and Violet launched back in 2022. Personally, I’m hoping for an unexpected spinoff along the lines of Pokémon Sleep.