AI产业链的三层架构：从“卖铲子”到“淘金客”的价值传导要理解上游企业业绩与股价的诡异背离，就需要回到AI产业链的三层架构——一个形象的“淘金热”比喻，能清晰拆解各环节的价值逻辑与生存现状，进而找到这一矛盾的根源。
What are your go-to custom routing settings that you're glad are still supported?
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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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