This company adopted AI. Here’s what happened to its human workers
原新闻来自于：www.npr.org/sections/mo…
Companies like OpenAI and Google have unveiled new Artificial Intelligence systems with incredible capabilities, making what once seemed like science fiction an everyday reality.
像 OpenAI 以及 Google 这一类的公司已经发布了新的具有难以置信的工作能力的人工智能系统，他们让曾经是科技幻想的事情变为了日常现实。
once 具有“曾经”的含义
everyday reality 日常现实，之前错误翻译为“每一天都变为现实”
It’s an era that is posing big, existential questions for us all, about everything from literally the future of human existence to — more to the focus of Planet Money — the future of human work.
在这个纪元之下，一个巨大的，存在已久的问题；抛给了我们所有人，关于人类的存在问题 – 更多的是我们节目（Planet Money）所关注的焦点 – 人类未来的工作问题
era 纪元
literally 逐字地
human existence 人类存在
existential 存在主义的
Back in 2017, Brynjolfsson published a paper in one of the top academic journals, Science, which outlined the kind of work that he believed AI was capable of doing.
时间转回到 2017 年，博金森在一篇顶级期刊上面发表了一篇科技类的文章，为几类他相信 AI 可以做到的工作画出了大纲。
What can machine learning do? Workforce implications.
机器学习可以做什么？劳动力方面的影响探究。
（这是一篇 npr 上面提及的论文）
Although economic effects of ML are relatively limited today, and we are not facing the imminent “end of work” as is sometimes proclaimed, the implications for the economy and the workforce going forward are profound.
imminent 迫在眉睫的
proclaimed 宣称
即使人工智能经济的影响在今天看来仍然有限，而且我们今天仍然不需要面对人们不时宣称的迫在眉睫的“工作终结”，但我们也要看到，它（人工智能）对于经济与劳动力的影响是意义深远的。
Sure, the current pace of change can feel dizzying and kinda scary.But Brynjolfsson is not catastrophizing.
确实，当前的改变速度确认让人有一些烟花缭乱与感到一点害怕。但是博金森却并不认为这是一场灾难。
catastrophizing 灾难化的
Last week, Brynjolfsson, together with MIT economists Danielle Li and Lindsey R. Raymond, released what is, to the best of our knowledge, the first empirical study of the real-world economic effects of new AI systems.
上一周，博金森，与 MIT 的经济学教授，丹尼尔李以及 雷蒙德教授，联手发布了“什么对于我们的知识而言是最好的”报告，第一份经验主义的对于新AI系统对于现实世界经济影响的报告。
The company’s goal was to improve the performance of their workers, not replace them.
这家企业的目标是改善工作者的表现，而不是替换他们。
This interactive chatbot was trained by reading through a ton of previous conversations between reps and customers.
这个互动聊天机器人通过阅读大量既往的销售代表与客户的对话而训练完成。
interactive 互动的
a ton of 吨，大量的
rep 销售代表
The AI chatbot also knows formulas that often lead to success.
AI 机器人知道通常能够带来成功的公式。
Cyborg customer reps, if you will.
塞伯朋克式的销售代表，如果你愿意的话。
