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?
--tdt Use TDT decoder
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丹期也表示，他很清楚中期選舉的影響，也警惕剩下三年多任期時間有限：「沙漏正慢慢流逝，時間正在被浪費。」
The answer was the US Navy, which was hungry for new pilots after World War Two. It was not building rockets but at least it involved flying.
"self_check": ["lint", "typecheck", "关键场景手测"]