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?
Дарья Устьянцева (редактор отдела «Мир»)
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此外，辅助功能中新增了「Reduce Highlighting Effects（降低高光效果）」选项，或用于减少按钮与滑块边缘的高光视觉效果。不过，该选项目前的实际变化并不明显。
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诉状特别强调：“Valve的战利品箱危害尤为严重，因为它们在儿童和青少年中非常流行。”诉状援引马萨诸塞州公共卫生部的数据指出，12岁前接触赌博的儿童成年后成为问题赌徒的可能性是其他人的四倍。詹姆斯要求为玩家追回损失，并对Valve处以相当于其非法所得三倍的罚款。