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中国高翻团队倾力之作
全文字数：1728字
阅读时间：16分钟
上期翻译答案
Landsbergispart of the National Distracted Driving Coalition, a group formed in 2021 that’s redoubling efforts to fix the data problem to help persuade cellphone makers, motor vehicle manufacturers, software companies, lawmakers and distracted drivers themselves that the problem constitutes a public health crisis that all parties have let slide.
兰德斯伯格是美国国家分心驾驶联盟的成员，该联盟成立于2021年，正在加倍努力解决数据问题，来说服手机制造商、汽车制造商、软件公司、立法者和分心的司机，由于各方都放任不管，这个问题形成了一场公共健康危机。
1. redouble your effort: to greatly increase your effort as you try to do something
2. let something slide: to let a situation get gradually worse
《本期内容》
双语阅读
AI’s value lies in accurate predictions and suggestions. But unlike traditional products and services, which rely on turning supplies (like electricity or human capital) into outputs (like light or tax advice), AI requires large data sets that must be kept fresh through back-and-forth customer interactions. To remain competitive, an AI operator mustcorraldata, analyze it, offer predictions, and then seek feedback to sharpen the suggestions. The value of the system depends on — and increases with — data that arrives from users.
人工智能的价值在于提供准确的预测和建议。但与依赖于将供应品（如电力或人力）转化为产成品（如电灯或税务建议）的传统产品和服务不同，人工智能需要大量数据集，必须通过与客户来回交互来保持最新状态。为了保持竞争力，人工智能运营商必须收集数据、分析数据、提供预测，然后寻求反馈以完善建议。系统的价值取决于来自用户的数据，且价值会随着数据的增加而增加。
The technology’s performance — its ability to accurately predict and suggest —hinges onan economic principle called data network effects. Data network effects are a new form: Like the more familiar effects, the more users, the more valuable the technology is. But here, the value comes not from the number of peers or the presence of many buyers and sellers. Rather, the effects stem from the nature of the technology: AI improves through reinforcement learning, predictions followed by feedback. As its intelligence increases, the system makes better predictions, enhancing its usefulness, attracting new users and retaining existing ones. More users mean more responses, which further prediction accuracy, creating a virtuous cycle.
这项技术的性能——准确预测和建议的能力——取决于一个被称为数据网络效应的经济学原理。数据网络效应是一种新形式：就像多看效应（对越熟悉的东西越喜欢的现象）一样，用户越多，技术就越有价值。但在这里，价值并不来自同行的数量或众多买家和卖家的存在。相反，这些效应来自于技术的本质：人工智能通过强化学习、预测和反馈来改进。随着智能水平提高，系统会做出更好的预测，增强其实用性，吸引新用户并保留现有用户。用户越多，反应越多，预测的准确性就越高，形成良性循环。
There are at least three broad lessons here. First, feedback is crucial. The benefits of AI intensify with a constant stream of user reactions. To remain intelligent, an algorithm needs a data stream of current user choices and rating of past suggestions. Without feedback, even the best engineering algorithm won’t remain smart for long.
此处至少有三个明确的教训。首先，反馈至关重要。人工智能的价值随着不断的用户反应而增强。翻译划线句，长按文末小程序码打卡，答案下期公布~如果没有用户反馈，就算是最好的工程算法也不会一直那么智能。
Second, executives should routinizemeticulousgathering of information to maximize the benefits of these effects. They ought totraversethe typical financial and operational records. Useful bits of data can be found everywhere, inside and outside the corporation. They may come from interactions with buyers, suppliers, and coworkers.
其次，高管应该将细致的信息收集工作常规化，从而将这些效用的好处最大化。他们应该检查日常财务和运营记录。有用的数据无处不在，在公司内外都可以找到。他们可能来自与买家、供应商和同事的互动。
Finally, everyone should consider the data they share, intentionally or not. Facts and feedback are essential for building better predictions. But the value of your data can be captured by someone else. Executives should consider whose AI stands to benefit from the data they share (or allow access to). Sometimes, they should limit sharing.
最后，每个人都应该考虑他们无论是有意还是无意中共享的数据。事实和反馈对于做出更好的预测至关重要。但是你的数据的价值可能会被其他人获取。高管们应该考虑哪些人工智能能够从他们共享(或允许访问)的数据中获益。有时候，他们应该限制共享。
本文节选自：Harvard Business Review（哈佛商业评论）
发布时间：2023.03.14
作者：Sheen S. Levine
原文标题：How Network Effects Make AI Smarter
词汇积累
1. corral
/kɒˈrɑːl/
n.畜栏；（营地中防御用的）车阵
v.把（马、牛）关进畜栏；把（一群人）集中关在一起；将（车辆）围作车阵；捉住
2.meticulous
/mɪˈtɪkjʊləs/
adj. 一丝不苟的，注意细节的
3.traverse
/ˈtrævɜːs/
v. 横穿，穿过; 横越岩石面的攀爬; (滑雪时)横线下(坡); <喻>整体考虑(问题)，全面讨论; 来回移动，斜向移动; 转动(大炮等带轴设备); <法律>否认(一项指控)，反驳
n. (爬陡坡时的)斜向攀上(下); 越过，穿过; 滑雪横切运动; (逆风时轮船所作的)曲线航行，折航; 通廊，楼厢; 机器部件的横转，横向运动
词组搭配
1.hinge on 取决于…；以…为转移
写作句总结
The benefits of AI intensify with a constant stream of user reactions.
结构：The benefits of AI intensify with a constant stream of user reactions.
人工智能的价值随着不断的…而增强。
例句：The benefits of AI intensify with a constant stream of upgrading.
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