├── tsconfig.json # TypeScript config
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?，这一点在新收录的资料中也有详细论述
，详情可参考新收录的资料
RCS 信息的端到端加密扩展到 iPhone 与安卓设备之间，此前仅 iPhone 之间可用，但需运营商支持；
Configurable depth scanning with performance optimizations，推荐阅读新收录的资料获取更多信息