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G7 Leaders Discuss AI Compute Race — episode cover art
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G7 的 AI 午餐会:当大国领导,和 AI 巨头同桌

G7 Leaders Discuss AI Compute Race

About this story

The G7 AI working lunch in Évian: power-holders and tech giants at one table, what they feared about fast-moving AI, the US-led coalition pitch from the American CEOs, Altman's international-forum idea, and Europe's push for 'tech sovereignty' — a contest over who calls the shots, with no result. HSK 4 Chinese listening practice.

This is an HSK 4 Chinese listening episode that runs about 4 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 14 key vocabulary words such as 国家、世界、结果 and walks through 7 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.

今天我们说一件,很值得聊的国际新闻。
六月十七号,在法国的依云,
开了一场很特别的午餐会。
要听懂这件事,
我们先简单说一下 G7。
G7,中文叫"七国集团"。
就是世界上七个最发达、
最有钱的国家组成的一个小圈子。
里面有美国、英国、法国、
德国、日本这些国家。
每年,这几个国家的领导,
都会找个地方,开一次会。
一起商量世界上的大事。
今年的会,开在法国。
而这场午餐会,
最特别的地方在于:
桌子上坐的,不只是各国领导。
还有一群科技公司的老板。
而且,是当今全世界,
做 AI 做得最好的那几家公司。
比如 OpenAI 的奥特曼,
谷歌 DeepMind 的哈萨比斯,
还有 Anthropic 的阿莫迪。
这些名字你可能不熟,
但是他们做的产品,你大概率用过,
或者听过。
所以你想象一下那个画面:
一边,是掌握权力的国家领导。
另一边,是掌握技术的科技巨头。
他们坐在一张桌子上,吃饭、聊天。
那他们到底在聊什么呢?
核心就一件事:
怎么让 AI,安全地发展。
现在 AI 的能力,涨得太快了。
快到连这些做 AI 的人,
自己都有点担心。
他们担心几样东西:
比如 AI 会不会被用来做坏事;
比如怎么保护孩子,
不被网上的 AI 内容伤害;
还比如,一个国家的 AI,
会不会太依赖另一个国家。
但是,最有意思的,
是他们在"谁来定规矩"上的分歧。
几位美国公司的老板,
提出了一个想法:
应该由美国来牵头,
拉上一批国家,组成一个联盟,
一起来制定 AI 的规则和标准。
说白了,就是希望美国当那个带头的。
奥特曼还提议,
建立一个国际性的论坛,
专门给各国的 AI,
做一个统一的、公正的安全测试。
但是,欧洲这边,心里并不舒服。
以法国为代表的欧洲国家,
越来越担心一件事:
那就是美国,在 AI 上太强势了。
他们提出一个词,叫"技术主权"。
意思是:欧洲不想只是跟在美国后面,
听美国的、用美国的、守美国定的规矩。
欧洲也想有自己的 AI,
自己的话语权。
所以这顿饭,表面上是和和气气地吃饭,
其实底下,是一场关于
"未来谁说了算"的较量。
那么,他们谈出结果了吗?
说实话,没有。
这场午餐会,
没有发布任何具体的政策,
也没有定下任何规则。
大家只是坐下来,
把各自的想法和担心,摆到了桌面上。
但即便如此,
这顿饭本身,已经是一个信号。
它说明:AI 这件事,
已经重要到,
需要最有权力的人,
和最懂技术的人,
坐到同一张桌子上来谈了。
最后,我们一起想一想。
有一种全新的、强大的技术。
做出它的公司说:"我们最懂,我们来定规矩。
可是别的国家说:"不行,我们也要参与。
你觉得,一个强大的技术,
到底应该由谁来管?
是由最懂它的人?
还是由所有可能被它影响的人,
一起来决定?
这个问题,没有标准答案。
但是它,关系到我们每一个人的未来。
最后我想问你。
当 AI 越来越多地,
进入你的工作和生活,
你最希望,有人帮你守住的,
是哪一条底线?
English transcript reference

Today we'll talk about a piece of international news worth discussing.

On June 17, in Évian, France,

a very special working lunch was held.

To understand this,

let's first briefly explain the G7.

G7, in Chinese, is called the 'Group of Seven'.

It's a small circle of the world's seven most developed,

wealthiest countries.

It includes the US, the UK, France,

Germany, Japan, and such countries.

Every year, these countries' leaders

find a place to hold a meeting.

Together they discuss the world's big matters.

This year's meeting was held in France.

And this lunch,

what made it most special was:

the ones at the table weren't only national leaders.

There was also a group of tech-company bosses.

And moreover, the companies that, in the world today,

do AI the best.

For example, OpenAI's Altman,

Google DeepMind's Hassabis,

and Anthropic's Amodei.

These names may be unfamiliar to you,

but the products they make, you've most likely used,

or heard of.

So picture that scene:

on one side, national leaders who hold power.

On the other, tech giants who hold the technology.

They sat at one table, eating, chatting.

So what exactly were they talking about?

The core was one thing:

how to let AI develop safely.

Right now AI's capabilities are rising too fast.

So fast that even these AI-makers

are a little worried themselves.

They worry about several things:

for instance, whether AI will be used to do harm;

for instance, how to protect children

from being harmed by AI content online;

and for instance, whether one country's AI

will become too dependent on another country.

But the most interesting part

is their disagreement over 'who sets the rules'.

Several American companies' bosses

put forward an idea:

America should take the lead,

pull together a group of countries into a coalition,

and jointly set AI's rules and standards.

Put plainly, they hope America is the one in front.

Altman also proposed

building an international forum,

specifically to give each country's AI

a unified, impartial safety test.

But Europe, on its side, wasn't comfortable.

European countries, with France as the representative,

are increasingly worried about one thing:

that America is too dominant in AI.

They raise a term: 'tech sovereignty'.

It means: Europe doesn't want to just follow behind America,

listening to America, using America's, obeying rules America sets.

Europe also wants its own AI,

its own voice.

So this lunch, on the surface a friendly meal,

was, underneath, a contest over

'who calls the shots in the future'.

So, did they talk out a result?

Honestly, no.

This lunch

released no specific policy,

and set down no rules.

Everyone just sat down

and put their thoughts and worries on the table.

But even so,

this meal itself is already a signal.

It shows: the matter of AI

has become important enough

that it needs the most powerful people,

and the people who understand the tech best,

to sit at the same table to talk.

Finally, let's think together.

There's a brand-new, powerful technology.

The company that made it says: 'We understand it best, we'll set the rules.'

But other countries say: 'No, we want to take part too.'

Do you think a powerful technology

should, in the end, be managed by whom?

By the people who understand it best?

Or by everyone who could be affected by it,

deciding together?

This question has no standard answer.

But it concerns the future of every one of us.

Finally, I want to ask you.

As AI more and more

enters your work and life,

the thing you most hope someone helps you hold the line on,

which line is it?

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
guójiācountry

HSK 1-3. country.

shìjièworld

HSK 1-3. world.

jiéguǒresult; outcome

HSK 1-3. result; outcome.

guānxirelationship; connection

HSK 1-3. relationship; connection.

jìshùtechnology / technique

HSK 1-3. technology / technique.

ānquánsafe / safety

HSK 1-3. safe / safety.

fā zhǎnto develop; development

HSK 1-3. to develop; development.

Qī guó jítuánthe Group of Seven

Glossed inline: 世界上七个最发达、最有钱的国家组成的一个小圈子.

wǔcānhuìworking lunch / luncheon

一场很特别的午餐会 = a very special working lunch — the event itself.

kējì jùtóutech giant

掌握技术的科技巨头 = the tech giants who hold the technology.

zhǎngwòto hold / grasp / control

掌握权力 / 掌握技术 = hold power / hold the technology. The power-vs-tech framing.

fēnqídisagreement; divergence

在'谁来定规矩'上的分歧 = the disagreement over who sets the rules.

qiāntóuto lead; spearhead

应该由美国来牵头 = America should take the lead.

liánméngalliance; coalition

组成一个联盟 = form a coalition — the US-led AI coalition idea.

* beyond level超纲词

What grammar patterns appear in this episode?

语法

最特别的地方在于 + Clause

'what's most special about it is that...'. Foregrounds the key point.

而这场午餐会,最特别的地方在于:桌子上坐的,不只是各国领导。

不只是 X,还有 Y (not only X, but also Y)

Expands the scope.

桌子上坐的,不只是各国领导。还有一群科技公司的老板。

会不会 + Verb? (will it or won't it?)

Yes-no question expressing a worry.

AI 会不会被用来做坏事;

会不会太依赖另一个国家。

说白了,... (put plainly...)

Spoken marker that restates the essence simply.

说白了,就是希望美国当那个带头的。

表面上 ... 其实 ... (on the surface X, but actually Y)

Contrasts appearance with reality.

这顿饭,表面上是和和气气地吃饭,其实底下,是一场较量。

即便如此,... (even so...)

Concedes a point, then asserts significance.

但即便如此,这顿饭本身,已经是一个信号。

关系到 + Noun (it concerns / bears on X)

Marks stakes.

但是它,关系到我们每一个人的未来。

Proper nouns

专有名词
G7 / 七国集团Qī guó jítuánthe Group of Seven — US, UK, France, Germany, Japan, Italy, Canada依云YīyúnÉvian — the French town hosting the 2026 G7 summit奥特曼ÀotèmànSam Altman — CEO of OpenAI哈萨比斯HāsàbǐsīDemis Hassabis — CEO of Google DeepMind阿莫迪ĀmòdíDario Amodei — CEO of AnthropicOpenAIOpenAIOpenAI — maker of ChatGPT谷歌 DeepMindGǔgē DeepMindGoogle DeepMind — Google's AI labAnthropicAnthropicAnthropic — maker of Claude

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