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Мужской барак в исправительно-трудовом лагере
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Since the 1960s, global GDP has been rapidly rising and living standards have reached record highs. But something else has been rocketing up too – carbon emissions. For years, scientists and economists have been asking: is it possible to grow without heating and polluting the Earth? And as the climate becomes more unstable, the issue is only becoming more urgent. Madeleine Finlay hears from two economists arguing for a change in how we measure a country’s success. Nick Stern is professor of economics and government at the London School of Economics and an advocate of green growth, an approach to growth that prioritises green industry. Jason Hickel is a political economist and professor at the Autonomous University of Barcelona who advocates degrowth, shrinking parts of the economy that do not advance our social and ecological goals.
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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: