An LLM prompted to “implement SQLite in Rust” will generate code that looks like an implementation of SQLite in Rust. It will have the right module structure and function names. But it can not magically generate the performance invariants that exist because someone profiled a real workload and found the bottleneck. The Mercury benchmark (NeurIPS 2024) confirmed this empirically: leading code LLMs achieve ~65% on correctness but under 50% when efficiency is also required.
По словам юриста, такое наказание грозит задержанным по пункту «д» части 2 статьи 126 («Похищение несовершеннолетнего») УК РФ, если их вина будет доказана.，详情可参考新收录的资料
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（二）货物共同海损牺牲的金额，货物灭失的，按照货物在装船时的价值加保险费加运费，减除由于牺牲无需支付的运费计算。货物损坏，在就损坏程度达成协议前售出的，按照货物在装船时的价值加保险费加运费，与出售货物净得的差额计算。。新收录的资料对此有专业解读