从春风唤醒生命的感触中，忽然想起了贺知章的名句：“不知细叶谁裁出，二月春风似剪刀。”可再一琢磨，诗里春风固然灵巧，用词确有新奇绝妙处，但总不免失之于锋芒过露。而自己眼见的一切，或许更近于“随风潜入夜，润物细无声”的意味。这风似乎不像剪刀，没那么利落、分明的姿态，倒更像是气是水，是弥漫的、渗透的、无处不在的柔情。它不张扬自己的到来，只是默默地让柳丝自己去绿，让草芽自己去长，让蛰虫自己去醒。像个高明的导演，自己隐在幕后，只让万物去演绎生命的繁华。
В китайских автомобилях появились медиасервисы VKВ каждом пятом новом китайском автомобиле появились медиасервисы VK
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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?