In an interview with BBC Radio 4's Political Thinking with Nick Robinson, she said successive governments had pushed back on proposals which would have stopped things like AI chatbots being used to create sexualised images.
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see how it contributes to the FOSS funding ecosystem.
“You should not feel too constricted and nor should you judge others for playing fast and loose with the King’s English,” Wesson said. “Just let brevity and clarity be your guide.”
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?