One way to think about AI note-taker(会议记录工具)s is as a productivity tool for humans. You might be unable to attend a gathering but you can still find out what happened by reading a summary later. You can receive a set of specific action points rather than operating on the vague assumption(基于模糊的假设行事) that Doris will follow up on something or other(跟进某件说不清的事).
看待AI会议记录工具的一种方式，是把它当作提升人类效率的工具。你可能无法参加某场会议，但事后读一份摘要就能了解发生了什么。你还能收到一组具体的行动要点，而不必模糊地假设多丽丝会跟进某件事——至于是哪件事，谁也说不清。
But another way to think about AI note-takers is as a data-gathering(数据采集) exercise for other machines. Transcripts can be scour(仔细搜寻)ed for previously unseen patterns: how much individuals are contributing; where coaching is needed. And as offhand remarks are turned into permanent records, more employee communication becomes available as training material for AI models.(而随着随口一说的话被转化为永久记录，越来越多的员工通信内容就成了训练AI模型的素材。)
但看待AI会议记录工具还有另一种方式：它是为其他机器进行的数据采集活动。转录文本可以被仔细搜寻，从中发现此前未曾察觉的模式：谁贡献了多少、哪里需要辅导。而随着随口一说的话被转化为永久记录，越来越多的员工通信内容就成了训练AI模型的素材。
The idea that the sorts of conversations you are having with your colleagues could pave the path to(为……铺平道路) superintelligence(超级智能) may seem laughable. But consider the court battle in America over Google's purchase of data from Spirit Airlines(美国廉价航空公司，2024-2025年破产重组), a bankrupt low-cost carrier(航空公司). The tech giant bid $10m to get hold of Spirit's data, including 100m email messages and 500m Teams titbit(趣闻、小片段)s.
你与同事之间的那些日常对话，竟可能铺就通往超级智能的道路——这个想法或许显得可笑。但请看美国那场围绕谷歌收购Spirit航空数据的法庭之争。这家科技巨头出价1000万美元，只为拿到Spirit的数据，其中包括1亿封电子邮件和5亿条Teams聊天碎片。