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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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在中国市场，这一转型呈现出更为复杂的现实图景。一方面，继续依赖抽佣，短期内仍可能支撑财务表现；但长期看，生态摩擦加剧、供给侧对抗与用户体验下降，将反过来侵蚀平台的商业基础。另一方面，转向服务化、工具化与效率定价，虽然短期承压，却有助于重建平台与供给侧之间的关系，使平台从分配者逐步转向基础设施提供者。
Coulibaly has hundreds of thousands of followers across Instagram, TikTok, YouTube, Snapchat and other social media platforms, where he posts under the moniker Diaper Man.。关于这个话题，同城约会提供了深入分析