但實際上，張又俠和習近平在早年並無交集，兩人在北京所上的並不是同一所學校，之後，習近平到陝西下鄉，而張又俠到雲南服役。到1980年代初，習近平回到北京，在國防部任秘書；而張又俠開赴中越戰爭的前線並立下戰功。
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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Comparison between error-diffusion dithering and ordered dithering. Left to right: error-diffusion, ordered.
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LEGAL-NOTICE.md