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Thomas said: "Everyone in the Radio 2 presenter family is hugely excited to be heading to Stirling for our Radio 2 in the Park weekend.
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Those with growth-based views, Carroll argues, still want something special, but expect rough patches. "They ask… what can they do to make their relationship better, have improvement and have growth?"
The Ploopy Discord is very active, especially the #adept and #adept-mods channels. I hung out there for a little while and learned about ball transfer units (BTUs) for smoother trackball movement and various other modifications people have made to the Adept. My partner incorporated some of those ideas and some of his own into an Adept mod that looks great, functions beautifully, and attaches to my desk perfectly.
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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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