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Alison Francis,Senior Science Journalist。关于这个话题，safew官方下载提供了深入分析
Automated systems making consequential decisions with insufficient human oversight。51吃瓜对此有专业解读
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?，这一点在搜狗输入法下载中也有详细论述
First up, there's Monster Hunter Rise. This was initially a Nintendo Switch exclusive before making the jump to other platforms. This is a decent Monster Hunter game with a focus on verticality. There are tools to quickly scale large cliffs and engage in aerial combat. It can be played solo or via a four-person squad. The gameplay loop is as addictive here as ever. Fight monsters. Gather materials. Upgrade weapons and armor. Rinse and repeat.