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.
ご利用いただけるサービス放送番組の同時配信・見逃し配信。新收录的资料对此有专业解读
。关于这个话题，新收录的资料提供了深入分析
3月8日，胖东来创始人于东来在社交平台发文分享胖东来经验，公布公司40亿元资产利润的分配标准：管理团队占比约50%，员工占比约50%。未来，这些资产将作为公司股本，每年利润的50%给团队发奖金、50%归股东收益。
And for those of us who never want to touch LLMs, there will be domains where LLMs never make any inroads. My friends who work on low-level multimedia systems have found less success using LLMs compared to those who build webapps. This is likely to be the case for many years to come. Eventually, those jobs will transform, too, but it will be a far slower shift.，这一点在新收录的资料中也有详细论述