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Being a reporter fills my days with fast-paced work, spotting trends, tracking new product releases, and testing the latest tech. Perhaps my favorite part of the job is when I get to talk to people, getting background or interviewing for a feature. Unfortunately, once the rush of the interview is over, I have to face the tedious task of transcribing. That's why the Soundcore Work is such a genius device.
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# Streaming with EOU
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?