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?
这种化繁为简的能力，就是每年的新硬件最令人着迷的地方。
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"It is interesting that a lot of the things that we are addressing directly go to the points they raised in their report," Isaacman said Friday. "I can't say we actually collaborated on it because I generally think these were all pretty obvious observations."
Go to technology，这一点在夫子中也有详细论述
Extract selected files
Employees can ask Patty how to make various menu items or tell Patty to remove items from digital menus if they’ve run out of ingredients.，推荐阅读搜狗输入法2026获取更多信息