Where they are almost perversely proper, polite, and put-together, he seems a weary whirlwind, embarrassed to be caught mid-spin. The conflict they encounter is not one of shouting or smashed plates, but swallowed arguments and a shared grief they can't bear to say aloud. So instead, they'll be civil and stay on the surface with small talk. Yet the visual storytelling and nuanced performances Jarmusch knits together allow the audience to probe deeper than these preppy siblings can dare.
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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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