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?
This Tweet is currently unavailable. It might be loading or has been removed.，这一点在im钱包官方下载中也有详细论述
圖像加註文字，外籍移工長年抗議台灣不公平勞動與強迫勞動，2025年參與遊行的移工與聲援團體超過百人。「高到不合理」的仲介費，推荐阅读Line官方版本下载获取更多信息
В Финляндии предупредили об опасном шаге ЕС против России09:28
美國總統特朗普（Donald Trump，川普）在競選總統期間，曾承諾將會實施更嚴厲的移民政策和更嚴格的執法措施，他曾經明確表示：「上任第一天，我就會展開美國史上最大規模的罪犯驅逐行動。」