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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，这一点在51吃瓜中也有详细论述
黎智英早前在上訴時陳詞指，涉案公司力高與《蘋果》的業務相關，公司只是共用蘋果大樓，黎智英、黃偉強沒有披露責任。
12月23日，北京市交管局网站发布通告称，根据国务院办公厅《关于2025年部分节假日安排的通知》、北京市人民政府《关于实施工作日高峰时段区域限行交通管理措施的通告》，以及北京市交通委员会、北京市生态环境局、北京市公安局公安交通管理局《关于对外省区市机动车采取交通管理措施的通告》相关规定，决定2025年1月1日，对本市机动车和非本市进京载客汽车交通管理措施作出以下调整：本市机动车不受工作日高峰时段区域限行交通管理措施限制。办理进京通行证（六环内）的非本市进京载客汽车，不受7时至9时、17时至20时禁止在五环路（含）以内道路行驶，以及9时至17时按车牌尾号区域限行交通管理措施限制，但应遵守“全天禁止进入二环路（含）以内道路、建国门外大街、复兴门外大街、复兴路（木樨地桥至新兴桥段）”管理规定。据北京市交管局网站SourcePh" style="display:none"
// Async — when source or transforms may be asynchronous