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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（二）扰乱车站、港口、码头、机场、商场、公园、展览馆或者其他公共场所秩序的；
第二百八十四条 海上货物运输请求赔偿的请求权，时效期间为一年。其中，请求承运人、实际承运人赔偿的，时效自货物交付或者应当交付之日起计算；请求托运人、收货人或者运输单证持有人赔偿的，时效自权利人知道或者应当知道权利被侵害之日起计算。
The Writers Guild of America published a statement on the deal.