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?
走进克恩—里伯斯公司展厅，指甲盖大小的精密弹簧在灯光下泛着金属光泽。这家百年企业，占据着全球汽车安全带卷簧市场的重要份额。1993年，一个小小的弹簧，拉开了太仓与德企故事的序幕。
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Anthropic 内部很早就意识到，训练 AI 模型光靠网络上的内容不够用。
习近平总书记微笑作答：“我是人民的勤务员。”
Известный американский писатель-фантаст Дэн Симмонс 21 февраля ушел из жизни в возрасте 77 лет. Об этом сообщается на сайте Degnity Memorial.