The battle over WBD left three big winners on Wall Street—while the thousands who lost out will remain behind the scenes

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This includes expertise vital to keeping the oil pumps working: with the skilled engineers formerly on the PDVSA payroll now plying their trade elsewhere, the system limps on with a skeleton staff.

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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?

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Last year, Stirling Council announced a £750,000 investment in the park to make it "Scotland's leading sustainable outdoor events space."