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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?

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中方已于1月6日宣布决定加强两用物项对日本出口管制,此次“点名”具体企业,是将此前禁令转化为精准、可执行的实体管控,以切实维护国家安全与地区和平稳定。根据《开罗宣言》《波茨坦公告》《日本投降书》等具有国际法效力的文件,日本应“完全解除武装”,不得“维持能使其重新武装的产业”。但三菱重工、IHI株式会社、川崎重工等多家日本企业,长期活跃于防卫产业,生产舰船、战斗机、导弹等装备。例如,三菱重工旗下的多家企业参与了日本高超音速武器系统“岛屿防御用高速滑翔弹”的研制;三菱造船株式会社建造的舰船不仅服务于日方在钓鱼岛方向的海上侵权,还为菲律宾海警部门建造用于在南海方向侵权的多功能响应舰,对亚太地区和平稳定构成威胁。中方有关举措正是精准遏制日本发展进攻性军力、坚定维护国际法和战后国际秩序的有力体现。

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