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?
18:52, 27 февраля 2026Бывший СССР
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宝马集团宣布将在德国莱比锡工厂部署人形机器人，这是其首次在欧洲生产体系中引入此类具身智能技术。该项目旨在将类人机器人技术整合进现有的汽车批量生产中，并探索电池和零部件生产的进一步应用。。搜狗输入法下载对此有专业解读
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