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Claude's Maker Files to Go Public: Revenue Up 14-Fold — episode cover art
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Claude 的公司要上市:钱多了十四倍

Claude's Maker Files to Go Public: Revenue Up 14-Fold

About this story

Anthropic's IPO filing pairs 14-fold revenue growth and a $2 trillion valuation target with an $80.7 billion loss and warnings about AI risk. HSK 5+ Chinese listening practice.

This is an HSK 5+ Chinese listening episode that runs about 7 minutes. The full Mandarin script is shown with tap-for-pinyin and a line-by-line English translation, so you can listen and read at once — comprehensible input in the sense of Stephen Krashen's i+1 theory. It teaches 12 key vocabulary words such as 公司、收入、数字 and walks through 5 grammar patterns, each explained in English with examples. The same news story is retold at 4 difficulty levels — use the level selector above to find the version that is challenging but still understandable for you.

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原文

Read the complete story in Chinese. Reveal pinyin and English only when you need them.

先看两个数字。
一个是一百六十三亿美元。
另一个是八百零七亿美元。
都是美元,都是今年前六个月。
一个是收入。
一个是亏损。
收入是去年的十四倍。
亏损也比去年多了很多。
一家公司,收入多了十四倍,为什么亏得也更多?
Anthropic 的上市文件里,这里最值得看。
这份文件的价值,不在数字上。
Anthropic 做 AI。
它的产品叫 Claude。
这份文件是星期一给大家看的。
公司要在 Nasdaq 上市,名字是 ANT。
它可能有一千亿美元以上。
估值可能达到两万亿美元。
如果成了,它会超过 SpaceX 六月的上市。
那会是历史上最大的 IPO。
SpaceX 当时的估值,是一万七千七百亿美元。
今年五月,Anthropic 的估值是九千亿美元。
另一家做 AI 的公司 OpenAI,当时是七千三百亿美元。
OpenAI 还想要新的钱,估值可能到一万五千亿美元。
所以,这不是一家公司的故事。
这是两家 AI 公司的竞争。
也是整个 AI 的考试。
再说那个很大的亏损。
八百零七亿美元里,有七百二十四亿不是公司手里的钱。
它只是数字。
原因是可转换票据。
可转换票据,是一种借来的钱。
这种可转换票据,以后会变成公司的股份。
股份,就是公司的一点点。
公司的估值越高,这笔钱在数字上就越大。
公司的股份也更贵了。
规定要求公司写一个很大的数字。
它不是公司真的花掉了七百二十四亿。
把这一次的钱拿掉,公司真的少了的钱只有六亿九千三百万美元。
去年这个时候,这个数字是二十一亿美元。
去掉这一次的钱,公司甚至有了十六亿美元的利润。
利润大约是收入的百分之十。
公司手里的钱也是多的,三十九亿美元。
去年这个时候,公司少了十五亿美元。
所以,这份上市文件里有两个故事。
一个是数字上的八百零七亿。
一个是公司真的少了的六亿九千三百万。
收入为什么多了这么多?
因为公司客户在用 Claude。
它们用它写程序、写东西、做分析。
去年秋天,Claude 写程序写得好了很多。
很多科技公司随后开始广泛使用。
文件里具体说,有一千九百多个客户每年花一百万美元以上。
其中,两百五十个客户每年花一千万美元以上。
公司的规模是五千三百个人。
公司开了五年,一共有大约一千三百亿美元。
公司有一个很大的目标。
这个目标,要很多钱。
这些钱,很多要用来买电脑。
文件里说,公司在电脑上花了八十九亿五千万美元。
去年,这个数字是二十三亿三千万美元。
公司还用别人的电脑。
用五年,要给大约一千二百五十二亿美元。
所以,上市以后,公司会有很多钱。
这些钱会很快变成更多的电脑。
更多的电脑,会变成更强的 AI。
可是,同一份文件里,还有另一种声音。
Anthropic 自己承认,AI 可能带来很大的危险。
文件里充分说明了风险。
里面包括 AI 可能不按人说的做。
也包括 AI 被人用来做很不好的事。
它的技术,还让很多国家政府不安。
因为它可能进入别人的安全系统。
今年,百分之五到百分之七的收入,来自后来发现不按规定做事的客户。
十月,美国 FTC 向它发出了调查要求。
它和美国政府,也还有问题。
这些话不是外面的人说的。
是公司自己写在文件里的。
一家卖 AI 的公司,在自己的上市文件里把 AI 写得这么危险。
这个现象很明显。
美国做投资的人,一边看收入,一边看这些风险。
他们想知道,这样的收入能不能一直这么好。
这份文件出现的时间,也很有意思。
AI 这件事已经四年了。
做投资的人开始怀疑,这么多钱放进去,什么时候能收回来。
这个月,做智能戒指的 Oura 推迟了上市。
戒指,是戴在手上的东西。
Oura 的戒指可以看身体。
SoftBank 的 SB Energy 也推迟了上市。
它们都在等。
如果要 AI 的人真的少了,很多公司会不好过。
AI 的钱能不能收回来,是这一轮 AI 的大问题。
这份文件,不只是数字。
它也在问一些问题。
AI 这件事,还在很早的阶段。
这个阶段,要花很多钱。
钱能不能收回来,是核心的问题。
对于做投资的人,这是最需要想的事。
公司的优势,是 AI 很强。
可是,这个优势,能不能一直有?
文件的数据,说明了公司的样子。
数据也说明,客户在一年比一年多。
这个趋势,会不会一直下去?
没有人能绝对说,AI 一定安全。
危险的程度,也没有人知道。
公司自己承认,AI 有很大的风险。
公司强调,它想把 AI 做好。
谁有 AI 的权力,也是一个大问题。
这是一个重大的问题。
现在,AI 公司要上市,让所有人看它们的钱。
Anthropic 的故事,正好要回答这个问题。
它是2021年开的。
开公司的人是 Dario Amodei 和他的妹妹 Daniela。
还有另外五个人。
他们以前都在 OpenAI。
因为对 AI 该怎么发展,想法不一样,才出来自己开公司。
2024年十月,Dario 写过一个东西,叫《Machines of Loving Grace》。
他承认,大多数人想错了 AI 的好处。
也想错了 AI 的风险。
他还说,AI 可能帮人找到新的药,促进人的健康。
也可能推动经济更好。
这件事的意义,不只是钱。
所以,有人叫他们 doomer。
当然,也有人不喜欢 Anthropic。
Dario 主张政府对 AI 有规定。
他也不喜欢把 AI 的东西都给大家看。
Nvidia 的 Jensen Huang 和 Meta 的 Mark Zuckerberg 都说过他。
他们说,他想把 AI 的权力放在自己手里。
有人说,他的权力太大了。
这份上市文件,一边给人看很多的钱,一边说自己有很大的风险。
它像镜子一样。
把这一轮 AI 最好的东西和最危险的东西,同时照了出来。
如果你的工作里,有一个很聪明、也可能不听你的 AI,你会用吗?
English transcript reference

First, look at two numbers.

One is 16.3 billion dollars.

The other is 80.7 billion dollars.

Both are in dollars, both for the first six months of this year.

One is revenue.

One is a loss.

Revenue is fourteen times last year's.

The loss also increased a lot from last year.

A company whose revenue grew fourteen-fold - why did it also lose more?

In Anthropic's IPO document, this is the most interesting part.

The value of this document is not in the numbers.

Anthropic makes AI.

Its product is called Claude.

The document was shown to everyone on Monday.

The company wants to list on Nasdaq under the name ANT.

It could raise more than 100 billion dollars.

Its valuation could reach 2 trillion dollars.

If it succeeds, it will surpass SpaceX's June listing.

That would be the largest IPO in history.

SpaceX's valuation at the time was 1.77 trillion dollars.

In May this year, Anthropic's valuation was 900 billion dollars.

The other AI company, OpenAI, was valued at 730 billion dollars then.

OpenAI also wants new money, at a valuation that could reach 1.5 trillion dollars.

So this is not just one company's story.

It is a competition between two AI companies.

It is also an exam for all of AI.

Now back to that huge loss.

Of the 80.7 billion, 72.4 billion is not money in the company's hands.

It is just a number.

The reason is convertible notes.

A convertible note is a kind of borrowed money.

These convertible notes will later turn into shares of the company.

A share is a little piece of the company.

The higher the company's valuation, the bigger this money becomes on paper.

The company's shares also became more expensive.

The rules require the company to write a very big number.

It is not that the company actually spent 72.4 billion.

Take out this one-time money, and the money the company actually lost was only 693 million dollars.

At this time last year, that number was 2.1 billion dollars.

Take out the one-time money, and the company even had a profit of 1.6 billion dollars.

Profit was about ten percent of revenue.

The company also has a lot of cash on hand: 3.9 billion dollars.

At this time last year, the company was down 1.5 billion dollars.

So this IPO document contains two stories.

One is the 80.7 billion on paper.

The other is the 693 million the company actually lost.

Why did revenue grow so much?

Because the company's customers are using Claude.

They use it to write code, write text, and do analysis.

Last fall, Claude became much better at writing code.

Many tech companies then began using it widely.

The document specifically says that more than 1,900 customers each spend over 1 million dollars a year.

Among them, 250 customers each spend over 10 million dollars a year.

The company has a staff of 5,300 people.

The company has been around for five years and has raised about 130 billion dollars in total.

The company has a very big goal.

That goal requires a lot of money.

Much of this money will be used to buy computers.

The document says the company spent 8.95 billion dollars on computers.

Last year, that number was 2.33 billion dollars.

The company also uses other people's computers.

Over five years, it will pay about 125.2 billion dollars.

So after going public, the company will have a lot of money.

This money will quickly turn into more computers.

More computers will turn into stronger AI.

But in the same document, there is another voice.

Anthropic itself acknowledges that AI may bring great danger.

The document fully explains the risks.

They include AI possibly not doing what people tell it to do.

They also include AI being used by people to do very bad things.

Its technology also makes many governments uneasy.

Because it could get into other people's security systems.

This year, five to seven percent of revenue came from customers later found not to be following the rules.

In October, the U.S. FTC sent it a demand for information.

It also still has issues with the U.S. government.

These words were not said by outsiders.

The company itself wrote them in the document.

A company that sells AI describes AI as this dangerous in its own IPO document.

This phenomenon is obvious.

American investors look at the revenue on one side and these risks on the other.

They want to know whether this revenue can keep being this good.

The timing of this document is also very interesting.

AI has been a thing for four years now.

Investors are starting to doubt when all the money poured in will come back.

This month, Oura, which makes smart rings, delayed its listing.

A ring is something you wear on your hand.

Oura's ring can monitor your body.

SoftBank's SB Energy also delayed its listing.

They are all waiting.

If the people who want AI really become fewer, many companies will struggle.

Whether the money in AI can be recovered is the big question for this round of AI.

This document is not just numbers.

It is also asking some questions.

AI is still at a very early stage.

This stage costs a lot of money.

Whether the money can be recovered is the core question.

For investors, this is the thing they most need to think about.

The company's advantage is that its AI is strong.

But can this advantage last?

The data in the document shows what the company looks like.

The data also shows that customers are increasing year by year.

Will this trend continue?

No one can say for absolute certain that AI is safe.

Nor does anyone know the degree of danger.

The company itself acknowledges that AI carries great risk.

The company stresses that it wants to do AI well.

Who holds power over AI is also a big question.

This is a major issue.

Now AI companies want to go public and show everyone their money.

Anthropic's story is precisely trying to answer this question.

It was founded in 2021.

The people who founded it were Dario Amodei and his sister Daniela.

Plus five other people.

They all used to work at OpenAI.

They left to start their own company because they disagreed about how AI should develop.

In October 2024, Dario wrote something called "Machines of Loving Grace."

He acknowledged that most people misunderstand the benefits of AI.

And also misunderstand the risks of AI.

He also said AI could help people find new drugs and improve human health.

It could also drive the economy to do better.

The meaning of this is not just about money.

So some people call them doomers.

Of course, some people also dislike Anthropic.

Dario advocates government regulation of AI.

He also does not like making AI's technology open to everyone.

Nvidia's Jensen Huang and Meta's Mark Zuckerberg have both criticized him.

They say he wants to keep AI power in his own hands.

Some say his power is too great.

This IPO document shows people a lot of money on one side and says it carries great risk on the other.

It is like a mirror.

It reflects both the best and the most dangerous parts of this round of AI at the same time.

If your job involved an AI that is very smart and may not listen to you, would you use it?

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
gōngsīcompany

A business. Anthropic 的上市文件里,这里最值得看。

shōurùrevenue

Money a company receives from sales. 收入是一百六十三亿美元。

shùzìfigure; number

A number written down. 它只是数字。

wèntíquestion; problem

Something to be answered or solved. 谁有 AI 的权力,也是一个大问题。

qūshìtrend

The direction something is moving in. 这个趋势,会不会一直下去?

xiànxiàngphenomenon

Something that can be observed. 这个现象很明显。

kěnéngpossible; may

Used for what may happen. 它可能有一千亿美元以上。

diànnǎocomputer

A machine that runs software. 这些钱,很多要用来买电脑。

kuīsǔnloss

Money a company loses. 一个是亏损。

fēngxiǎnrisk

The chance that something bad happens. 文件里充分说明了风险。

kèhùcustomer

A paying user of a company's products. 文件里具体说,有一千九百多个客户每年花一百万美元以上。

kě zhuǎnhuàn piàojùconvertible note

Debt that later converts into shares. 原因是可转换票据。

* beyond level超纲词

What grammar patterns appear in this episode?

语法

一边……,一边……

Two actions happening at the same time.

美国做投资的人,一边看收入,一边看这些风险。

对于……,……

对于 marks the person or thing a statement applies to.

对于做投资的人,这是最需要想的事。

如果……,会……

如果 sets a condition; 会 gives the result.

如果成了,它会超过 SpaceX 六月的上市。

把……拿掉

把 moves the object before the verb: 把 X 拿掉 means take X out.

把这一次的钱拿掉,公司真的少了的钱只有六亿九千三百万美元。

一年比一年多

一年比一年多 means more each year.

数据也说明,客户在一年比一年多。

Proper nouns

专有名词
AnthropicAnthropic, the AI company that makes ClaudeClaudeClaude, Anthropic's AI assistantOpenAIOpenAI, the company behind ChatGPT and Anthropic's rivalSpaceXSpaceX, Elon Musk's rocket companyElon MuskElon Musk, SpaceX's chief executiveDario AmodeiDario Amodei, Anthropic's chief executiveDanielaDaniela Amodei, Dario's sister and Anthropic's co-founderGoldman SachsGoldman Sachs, a major American investment bankNasdaqNasdaq, the American stock exchange where ANT will tradeNvidiaNvidia, the chip company led by Jensen HuangJensen HuangJensen Huang, Nvidia's chief executiveMetaMeta, the parent company of FacebookMark ZuckerbergMark Zuckerberg, Meta's chief executiveOuraOura, a maker of smart ringsSB EnergySB Energy, a SoftBank subsidiarySoftBankSoftBank, the Japanese investment groupFTCFTC, the U.S. Federal Trade Commission

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