(单词翻译:单击)
Welcome to the HBR IdeaCast from Harvard Business Review. I’m Curt Nickisch.
欢迎来到哈佛商业评论的HBR IdeaCast。我是柯特·尼基施。
You don’t have to be at the cutting edge of your industry or profession to be working on artificial intelligence.
在人工智能领域工作，你不一定要处于行业或专业最前沿才能工作。
You’ve probably already heard the term ChatGPT.
您可能已经听说过ChatGPT这个术语。
That is, if you’re not using it already yourself.
如果你自己还没有用过ChatGPT，也应该听说过。
Late in 2022 is when businesses of all sides and individuals started talking about how this easily accessible type of AI really was poised to change work as we knew it. Really this time.
2022年底，各行各业以及每个人都开始讨论这种易获取的人工智能将如何真正改变我们所知的工作。这次来真的。
ChatGPT has burst into public consciousness by making it much easier for anyone to use it and see its potential and use cases have been making headlines for reasons good and bad.
ChatGPT通过让每个人都能轻松使用并发现其潜力而突然进入公众意识，好好坏坏的使用案例一直占据新闻头条。
Even with this rapid distribution, companies are still very far behind in developing strategies, policies, and best practices, and that needs to change quickly according to today’s guest.
尽管ChatGPT发布之快，但其公司在制定战略、政策和最佳实践方面仍跟不上，据今天的嘉宾所言，这些都需要迅速改变。
He says the use of ChatGPT AI could have something like a 50% productivity increase for some workers.
他说，对一些员工来说，ChatGPT AI的使用可能会使生产率提高50%。
Companies need to know how to harness that power and they need to develop a strategy fast.
企业需要知道如何利用这种力量，他们需要快速制定战略。
Ethan Mollick is an associate professor of management at the Wharton School of the University of Pennsylvania.
伊桑·莫利克是宾夕法尼亚大学沃顿商学院管理学副教授。
He’s been researching and teaching on artificial intelligence in his work on innovation and he’s been using ChatGPT himself and in his classroom.
他一直在创新工作中研究人工智能并对其进行授课，他自己本人一直在使用ChatGPT，而且也将其应用于课堂。
He wrote the HBR article “ChatGPT Is a Tipping Point for AI.” Hi Ethan.
他是《哈佛商业评论》一文《ChatGPT引爆人工智能》的作者。嗨, 伊桑。
Hello, nice to be here.
大家好，很高兴来到这里。
What exactly is different about this technology or this ecosystem this time around?
这次的技术或生态系统究竟有什么不同?
So actually the fact that there’s no ecosystem is part of what’s interesting, but the technology’s not new, right?
事实上，有趣的是，生态系统没有什么不同，这项技术也并不新鲜，对吧?
GPT3, which is the sort of base generation of this technology’s been around for over a year and it was okay, right?
GPT3，是这项技术的基础一代，已经存在了一年多了，还可以，对吧?
You’d look at it and it was a distinctly sort of D minus student.
你会发现它显然是一个成绩拿D-的学生。
It produced okay work and then when the chat bot came out and the associated 3.5 model, they were just larger models with some additional tweaking but not radical changes in technology.
它产出的活儿说得过去，之后，聊天机器人及其相关的3.5模型问世了，模型变得更大，稍稍做了一些改进，但在技术上没有根本性的变化。
