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《经济学人》双语:AI时代,有图也无真相?

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发表于 2024-6-16 11:43:07 | 显示全部楼层 |阅读模式

原文标题:

Pics and it didn’t happen

AI-generated content is raising the value of trust

Who did the posting will soon matter more than what was posted
有图也无真相

AI生成的内容对信任度的要求在提高

谁发布的内容比内容本身更重要

[Paragraph 1]

IT IS NOW possible to generate fake but realistic content with little more than the click of a mouse.

现在只需轻点鼠标,就能生成逼真的虚假内容。

This can be fun: a TikTok account on which—among other things—an artificial Tom Cruise wearing a purple robe sings “Tiny Dancer” to (the real) Paris Hilton holding a toy dog has attracted 5.1m followers.

有趣的案例:一个TikTok账号上,一个身穿紫袍的数字人汤姆·克鲁斯对着(真实的)帕利斯·希尔顿(手里拿着一只玩具狗)唱着“Tiny Dancer”,吸引了510万粉丝。

It is also a profound change in societies that have long regarded images, video and audio as close to ironclad proof that something is real.

这深刻改变了长久以来将图像、视频和音频视为近乎铁证的社会观念。

Phone scammers now need just ten seconds of audio to mimic the voices of loved ones in distress; rogue AI-generated Tom Hankses and Taylor Swifts endorse dodgy

products online, and fake videos of politicians are proliferating.

现在,电信诈骗犯只需要10秒钟的音频就能模仿出亲人痛苦的声音;骗子通过AI生成的汤姆·汉克斯和泰勒·斯威夫特在网上为假冒伪劣产品代言,政界人士的虚假视频也层出不穷。

[Paragraph 2]

The fundamental problem is an old one.

根本问题其实是个老问题。

From the printing press to the internet, new technologies have often made it easier to spread untruths or impersonate the trustworthy.

从印刷机到互联网,新技术让传播谣言或冒充可信者变得更加容易。

Typically, humans have used shortcuts to sniff out foul play: one too many spelling mistakes suggests an email might be a phishing attack, for example.

通常情况下,人们会采用一些便捷方法来识别"猫腻":例如,拼写错误过多表明电子邮件可能是钓鱼网站。

Most recently, AI-generated images of people have often been betrayed by their strangely rendered hands; fake video and audio can sometimes be out of sync.

最近,由AI生成的人像照片经常因奇怪的手部渲染而穿帮。伪造的视频和音频有时会出现不同步的情况。

Implausible

content now immediately raises suspicion among those who know what AI is capable of doing.

现在,对于那些了解AI能力的人来说,似是而非的内容会立即引起他们的怀疑。

[Paragraph 3]

The trouble is that the fakes are rapidly getting harder to spot.

问题在于,现在越来越难以发现这些假冒内容。

AI is improving all the time, as computing power and training data become more abundant.

随着计算能力和训练数据的日益丰富,AI技术也在不断进步。

Could AI-powered fake-detection software, built into web browsers, identify computer-generated content? Sadly not.

内置在网页浏览器中的人工智能假冒检测软件能否识别出计算机生成的内容?很遗憾,目前还无法做到。

Eventually AI models will probably be able to produce pixel-perfect counterfeits—digital clones of what a genuine recording of an event would have looked like, had it happened.

最终,人工智能模型很可能能够生成像素完美的赝品——即事件真实记录的数字克隆,如果事件确实发生过的话。

Even the best detection system would have no crack to find and no ledge to grasp.

即使是最好的检测系统,也无法找到破绽,更没有合适的应对方法。

Models run by regulated companies can be forced to include a watermark, but that would not affect scammers wielding open-source models, which fraudsters can tweak and run at home on their laptops.

由受监管公司运行的模型可以被强制加入水印,但这不会影响骗子们使用开源模型,骗子们可以在家里的笔记本电脑上调整和运行这些模型。

[Paragraph 4]

Dystopian possibilities abound.

未来世界充满反面乌托邦的可能。

It will be difficult, for example, to avoid a world in which any photograph of a person can be made pornographic by someone using an open-source model in their basement, then used for blackmail—a tactic the FBI has already warned about.

例如,这样的情景很难避免:有人在地下室使用开源模型将某人的照片制作成情色内容,然后用于敲诈勒索——联邦调查局已经对此提出警告。

Perhaps anyone will be able to produce a video of a president or prime minister announcing a nuclear first strike, momentarily setting the world on edge.

也许任何人都能制作总统或总理宣布核打击的视频,瞬间让世界陷入紧张状态。

Fraudsters impersonating relatives will prosper.

冒充亲属的诈骗者将大行其道。

[Paragraph 5]

Yet societies will also adapt to the fakers.

然而,社会也会逐渐适应造假者的存在。

People will learn that images, audio or video of something do not prove that it happened, any more than a drawing of it does (the era of open-source intelligence, in which information can be reliably crowdsourced, may be short-lived).

人们会意识到,图像、音频或视频并不能证明某件事情真实发生过,就像图画不能证明某件事情发生一样(开源情报时代可能转瞬即逝,因为大众都能搜集到可靠信息)。

Online content will no longer verify itself, so who posted something will become as important as what was posted.

网络上的内容将不再自行验证其真实性,因此内容发布者将变得与内容本身一样重要。

Assuming trustworthy sources can continue to identify themselves securely—via URLs, email addresses and social-media platforms—reputation and provenance will become more important than ever.

假设可信的信息来源能够继续通过 URL、电子邮件地址和社交媒体平台安全地识别自己的身份,那么声誉和出处将变得比以往任何时候都更加重要。

[Paragraph 6]

It may sound strange, but this was true for most of history.

这听起来可能有些奇怪,但在历史上的大部分时期都是如此。

The era of trusted, mass-produced content was the exception.

可信赖的、大规模生产内容的时代屈指可数。

The fact that people may soon struggle to spot the invisible hand of AI does not mean the marketplace of ideas is doomed.

人们可能很快就难以发现人工智能这只无形的手,但这并不意味着人类思想市场的终结。

In time, the fakes that thrive will mostly be the funny ones.

随着时间的推移,大量涌现的虚假内容大部分都是搞笑段子。

(恭喜读完,本篇英语词汇量597左右)

原文出自:2024年1月20日《The Economist》Leaders版块

精读笔记来源于:自由英语之路

本文翻译整理: Irene

本文编辑校对: Irene

仅供个人英语学习交流使用。

【补充资料】

(来自于网络)

URL(uniform resource location)网络链接:统一资源定位符(或称统一资源定位器/定位地址、URL地址),有时也被俗称为网页地址(网址)。URL就如同在网络上的门牌,是因特网上标准的资源的地址(Address)。它最初是由蒂姆•伯纳斯-李发明用来作为万维网的地址,现在它已经被万维网联盟编制为因特网标准。

【重点句子】

(3个)

It is also a profound change in societies that have long regarded images, video and audio as close to ironclad proof that something is real.

这深刻改变了长久以来将图像、视频和音频视为近乎铁证的社会观念。

Online content will no longer verify itself, so who posted something will become as important as what was posted.

网络上的内容将不再自行验证其真实性,因此内容发布者将变得与内容本身一样重要。

The fact that people may soon struggle to spot the invisible hand of AI does not mean the marketplace of ideas is doomed.

人们可能很快就难以发现人工智能这只无形的手,但这并不意味着人类思想市场的终结。

自由英语之路

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