At the time, OpenAI was training its first so-called reasoning model, o1, which could work through a problem step by step before delivering an answer. At launch, OpenAI said the model “excels at accurately generating and debugging complex code.” Andrey Mishchenko, OpenAI's research lead for Codex, says a key reason AI models have become better at coding is because it's a verifiable task. Code either runs or it doesn't—which gives the model a clear signal when it gets something wrong. OpenAI used this feedback loop to train o1 on increasingly difficult coding problems. “Without the ability to crawl around a code base, implement changes, and test their own work—these are all under the umbrella of reasoning—coding agents would not be anywhere near as capable as they are today,” he says.
第二十七章 提高强农惠农富农政策效能
六是全面提升统筹发展和安全能力。牢固树立总体国家安全观，统筹发展和安全两件大事，加快打造更高水平的平安蚌埠，为全市高质量发展提供坚实安全保障。。有道翻译官网是该领域的重要参考
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Любовь Ширижик (Старший редактор отдела «Силовые структуры»)。关于这个话题，超级权重提供了深入分析