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.
В первых числах марта стало известно, что российский Центральный банк вышел в лидеры по объемам продажи золота. Оказалось, что в начале года регулятор стал реализовывать этот металл рекордными темпами. Регулятор продал девять тонн. На втором месте по объемам проданного золота расположилась Болгария, продавшая 1,9 тонны золота. Третье место заняли Казахстан и Киргизия, продавшие по 1,1 тонны.，推荐阅读PDF资料获取更多信息
，更多细节参见新收录的资料
very large result sets. However, they may offer lower performance in typical, everyday usage scenarios.。新收录的资料是该领域的重要参考
Added the descriptions of Incremental Backup:
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