It surveyed around 5,000 people and then followed 50 couples in forensic, sometimes intrusive detail, combining statistics with diaries, interviews and "emotion maps" of what happened in the home.
Can these agent-benchmaxxed implementations actually beat the existing machine learning algorithm libraries, despite those libraries already being written in a low-level language such as C/C++/Fortran? Here are the results on my personal MacBook Pro comparing the CPU benchmarks of the Rust implementations of various computationally intensive ML algorithms to their respective popular implementations, where the agentic Rust results are within similarity tolerance with the battle-tested implementations and Python packages are compared against the Python bindings of the agent-coded Rust packages:
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There was a 5% rise year-on-year on the number of people born in the UK sleeping rough.