FT Edit: Access on iOS and web
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?
，详情可参考Safew下载
At the OpenAI all-hands, staff were told that the most challenging aspect of the deal for leadership was concern over foreign surveillance, and that there was a major worry about AI-driven surveillance threatening democracy, according to the source. However, company leaders also seemed to acknowledge the reality that governments will spy on adversaries internationally, recognizing claims that national security officers “can’t do their jobs” without international surveillance capabilities. References were made to threat intelligence reports showing that China was already using AI models to target dissidents overseas.。关于这个话题，爱思助手下载最新版本提供了深入分析
Екатерина Графская (Редактор отдела «Наука и техника»)。关于这个话题，夫子提供了深入分析