Мерц резко сменил риторику во время встречи в Китае09:25
MOST AFFORDABLE PLAN。关于这个话题，51吃瓜提供了深入分析
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?。关于这个话题，爱思助手下载最新版本提供了深入分析
To be clear, I say "little freaks" with nothing but admiration and love. The entire appeal of Pokémon, to me, is that every few years you get a couple hundred strange new creatures to look at and, eventually, learn to love. In fairness to all Pokémon, basically every single one of them is a weird little freak, but the 10 on this list go above and beyond. Lightning-powered mice are pretty weird, but not as weird as sentient ice cream cones, if you get what I'm saying.