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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?
昨天，苹果面向开发者推送了 iOS 26.4 Beta 2，再次对「液态玻璃」（Liquid Glass）的效果进行了微调，其他更新内容以小幅调整为主。，详情可参考51吃瓜
（二）从海关取得的海关进口增值税专用缴款书上列明的增值税税额；，详情可参考旺商聊官方下载
纳税人登记为一般纳税人后，不得转为小规模纳税人。。搜狗输入法下载是该领域的重要参考
On Friday afternoon, Donald Trump posted on Truth Social, accusing Anthropic, the AI company behind Claude, of attempting to "STRONG-ARM" the Pentagon and directing federal agencies to "IMMEDIATELY CEASE" use of its products. At issue is Anthropic CEO Dario Amodei's refusal of an updated agreement with the US military agreeing to "any lawful use" of Anthropic's technology, as Defense Secretary Pete Hegseth mandated in a January memo, to the frustration of many tech workers across the industry.