Она объяснила, что планеты действительно будут находиться близко друг к другу на небе, но многие из них довольно низко над горизонтом, чтобы их было легко наблюдать. Кроме того, планеты не выстроятся четко в одну линию.
我是一名软件工程师,大半辈子都在给软件加密,防止盗版。我的世界由代码和逻辑构成,我相信任何漏洞都可以通过设置一道“防火墙”来解决。直到今年夏天,我发现自己错了。我构建的技术防线,在电诈分子精心设置的圈套面前,是那么不堪一击。
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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?