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.
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“拥抱AI这件事，我身边的、认识的同行其实没有大家想象中那么排斥，现在很多编剧都很年轻，大家好奇去尝试也很正常。但我们是希望AI真的能帮到我们，而不是在打发编剧。”玖月感慨。