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?
就在一个月前，a16z发布的CIO调查已经给出了预警。报告显示，OpenAI的企业渗透率是78%，钱包份额将近56%，账面上依然是无可争议的第一。但报告同时捕捉到了一个让人坐不住的趋势：从去年5月到现在，Anthropic的企业渗透率增长了25%，在所有前沿大模型厂商里增速最快。。业内人士推荐快连下载安装作为进阶阅读
David Ellison pitches Paramount’s $108 billion hostile bid for WBD as “pro consumer.”。旺商聊官方下载对此有专业解读
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