“感受到国家对农业发展的高度重视，作为一名全国人大代表，我的责任感也更加强烈。”徐淙祥笑着说，今年全国两会召开在即，他已做好准备，“我的关注点永远离不开农村土地，结合前期调研与实地走访了解的情况，我将围绕农村养老、农业现代化、农民技能培训等提出建议，希望为推动乡村全面振兴贡献力量。”
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After two decades of deferring to executive authority and eroding anti-bribery laws, the supreme court has suddenly limited presidential power in a way that could make one ugly form of political influence a bit more difficult to pull off. Last week’s ruling did not merely strip one president of his executive power to unilaterally impose levies across broad swaths of the economy – it makes it harder for any president to transform tariffs from a broad economic policy into a personal political cudgel that muzzles criticism and enforces fealty.
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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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