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?
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搭载 Windows 10 Mobile 的 Lumia 950，图片来自 Windows CentralWindows 10 Mobile 更像一次方向摇摆的过渡产物。微软试图统一桌面与移动端体验，把同一套设计语言和交互逻辑强行拉到手机上：汉堡菜单、更多文字标签、更复杂的层级结构，以及越来越接近桌面 Windows 的设置方式。这些改变看似「更现代」「更通用」，却也让界面逐渐变得拥挤、沉重。换句话说，Windows 10 Mobile 开始变得和别人一样。，更多细节参见91视频