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?
7月30日，对方以“配合公安调查“为由，让母亲购买了一部华为手机——他们称这是“办案专用机”。他们要求母亲每天准时在华为手机上专有的“畅连”app上进行“视频签到”和“通话打卡”，汇报当天情况，并随时接受“工作指示”。 在密集的“工作指令”间隙，他们也会穿插几句关心的话，“吃饭了吗？”“天气热，注意防暑。”“早点休息。”。一键获取谷歌浏览器下载对此有专业解读
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Otherwise, there can be power struggles, misalignment in vision, and confusion amongst the wider company.
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