СюжетРакетные удары по Украине:
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.
。whatsapp对此有专业解读
15:32, 10 марта 2026Экономика
他们指出，稀缺性将推动化肥价格在短期内走高，类似于石油市场的情况。尿素期货自战争爆发以来已上涨近25%，而更高的能源价格也将增加 CF 的全球竞争对手成本。