В России ответили на имитирующие высадку на Украине учения НАТО18:04
消費税減税 国民会議での論点は 専門家と考える【経済コラム】
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Москвичей предупредили о резком похолодании09:45
Historically, LLMs have been poor at generating Rust code due to its nicheness relative to Python and JavaScript. Over the years, one of my test cases for evaluating new LLMs was to ask it to write a relatively simple application such as Create a Rust app that can create "word cloud" data visualizations given a long input text. but even without expert Rust knowledge I could tell the outputs were too simple and half-implemented to ever be functional even with additional prompting.