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?
（六）其他由省级以上公安机关会同电信、广播电视等主管部门认定的，专门用于实施网络违法犯罪或者具有规避监管制度功能的设备、软件、工具、服务。
，更多细节参见夫子
简单来说，世界模型 = 让 AI 在脑子里“模拟整个世界”。它不是简单的“看图、生成视频”，而是让 AI 学会世界有什么物体、物体之间怎么互动、物理规则是什么、事情会怎么发展，然后在内部构建一个虚拟的、可推理的世界。
第五十条 有下列行为之一的，处五日以下拘留或者一千元以下罚款；情节较重的，处五日以上十日以下拘留，可以并处一千元以下罚款：