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?
阿爸也常笑阿妈脾气暴躁，没文化，两个人聊不到一块，吃不到一块。但村里有事，别人问他怎么决定，他第一句话永远是“找我老婆，我都听老婆的”。就连这次我想多问点他以往的事，他也是说“问我老婆，她比我更清楚”。
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2026-02-28 11:03:22
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Some research suggests hormonal contraception may subtly influence attraction in partners