Calculation of the Ti–Mo phase diagram using density functional theory and crystal symmetry

· · 来源:trace资讯

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?

The Information had previously reported that $35 billion of Amazon’s investment could be contingent on the company either achieving AGI or making its IPO by the end of the year. OpenAI’s announcement confirms the funding split, but says only that the additional $35 billion will arrive “in the coming months when certain conditions are met.”

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Александр Курбатов (редактор отдела «Бывший СССР»)

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