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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Steven Frank, the co-founder of Panic, wrote this in 1999, with similar themes:。旺商聊官方下载是该领域的重要参考
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The Dreamie is refreshingly compact, too. It takes up significantly less real estate on my nightstand than the Philips Wake-Up Light I've been using forever, or something like a Hatch Restore. The smaller footprint is something I appreciate as a person always battling cluttered surfaces. That also makes it better for travel. Since podcasts and sleep insights aren't available yet, I haven't been able to test those out, but they're non-critical features for me. The company has shared an estimated timeline of Q1-Q2 for these features to arrive, with podcasts likely coming first. They'll be nice to have, podcasts especially, but the Dreamie is more than able to do its main job of creating an environment that supports better sleep without those things.