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近日，苹果在「Apple 支持」App 内正式上线网络测速工具，支持 iOS18 及更高版本系统。
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Knowledge Retrieval（规范/PRD/接口文档）
4. 跨境差异化选品与套利： 利用TikTok的内容流量，通过大数据工具（如Scrape Temu）发现高毛利差异化产品，并在Shopify等平台进行独立站运营，规避国内价格战 [18, 33]。
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?