Despite those limitations, iVerify says Coruna likely infected tens of thousands of phones. The company consulted with a partner that has access to network traffic and counted visits to a command-and-control server for the cybercriminal version of Coruna infecting Chinese-language websites. The volume of those connections suggest, iVerify says, that roughly 42,000 devices may have already been hacked with the toolkit in the for-profit campaign alone.
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?
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responsible for producing a single tuple. To start you call next() on the root operator (projection in this case). It
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