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G7 Leaders Discuss AI Compute Race — episode cover art
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权力与算力同桌:G7 的 AI 午餐会,和一场没有结论的较量

G7 Leaders Discuss AI Compute Race

About this story

Advanced Chinese listening practice. The full story of the G7 AI working lunch in Évian (June 17, 2026): heads of state (Trump, Macron) and the leaders of OpenAI, Google DeepMind, Anthropic and others at one table; the US-led-coalition proposals vs Europe's 'tech sovereignty'; no binding outcome — and the deeper question of whose hands should hold the steering wheel of a powerful new technology, from gunpowder to nuclear to AI. HSK 5-6 Chinese listening practice.

This is an HSK 5-6 Chinese listening episode that runs about 6 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 政治、政府、国际 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.

今天我们聊一件,看似平常,其实意味深长的事。
六月十七号,在法国小镇依云,
G7 峰会的最后一天,
办了一场特别的工作午餐会。
我们先交代一下背景。
G7,也就是"七国集团",
是由美国、英国、法国、德国、
日本、意大利、加拿大,
这七个发达国家组成的。
每年,这些国家的领导人,
都会聚到一起,
讨论全球最重要的议题。
而今年,最受关注的议题,
毫无悬念,是人工智能,也就是 AI。
这场午餐会真正特别的地方在于它的座位。
餐桌的一边,
是掌握政治权力的各国元首,
包括美国总统特朗普、
法国总统马克龙等人。
另一边,
则坐着一群掌握着技术权力的人——
也就是当今全球最顶尖的 AI 公司的掌门人。
据报道,出席的科技领袖将近十几位,
其中包括 OpenAI 的奥特曼、
谷歌 DeepMind 的哈萨比斯、
Anthropic 的阿莫迪,
还有 Meta、Mistral、Cohere、
Salesforce 等公司的高管。
可以说,全球 AI 的半壁江山,
都坐在了这一张餐桌旁。
这场午餐会的主题,
官方的说法是:
"确保人工智能安全、快速、
而有效地落地。
说白了,桌上的人,
都在试图回答同一个问题:
当 AI 强大到这个程度,
我们该如何驾驭它?
讨论的话题很广。
从最前沿的 AI 风险,
到支撑 AI 的基础设施,
再到一个国家的"技术主权",
甚至包括如何在网络上,保护儿童。
但是,整场午餐会最核心的张力,
其实集中在一个问题上:
究竟,由谁来为 AI 制定规则?
在这一点上,
几位美国科技公司的掌门人,
给出了相当一致的方向。
Anthropic 的阿莫迪,
和谷歌 DeepMind 的哈萨比斯,
都呼吁建立一个,
由美国主导的 AI 联盟,
由美国牵头,联合一批国家,
共同来制定 AI 的标准和规则。
OpenAI 的奥特曼,
则进一步提议,
建立一个国际性的论坛,
为各国的 AI,
提供统一、公正的能力与风险测试,
并成为各国合作的平台。
这些提议听起来很有建设性。
但是,如果你站在欧洲的角度,
味道就有点不一样了。
近年来,以法国为代表的欧洲国家,
对美国在 AI 领域的绝对主导,
越来越警惕。
他们反复强调一个概念:
"技术主权"。
言下之意是:
欧洲不愿意,
只是被动地接受美国的技术、
美国的标准、美国定下的游戏规则。
法国方面就明确表示,
欧洲要的是有能力去竞争,
而不仅仅是去合规、去跟随。
所以你看,
这场看似其乐融融的午餐,
桌面之下,
其实是一场关于
未来话语权的暗自角力。
一边,是技术的创造者,
希望由自己、由自己的国家,
来主导规则的制定。
另一边,是其他的国家,
不愿意把自己的未来,
完全交到别人手里。
那么,这场午餐会,
最终谈出什么结果了吗?
答案是:几乎没有。
会后,没有发布任何具体的政策,
也没有形成任何有约束力的协议。
所有人只是坐下来,
把各自的立场和担忧,
摆到了台面上,如此而已。
但是,我想说,
不要小看这样一场"没有结论"的午餐。
因为它本身,
就传递了一个清晰的信号:
人工智能,
已经不再只是科技公司的事情了。
它的重要性,
已经上升到,
需要全球最有权力的政治领袖,
和最有能力的技术领袖,
面对面、坐下来,
郑重其事地讨论的程度。
这顿饭,
是这个时代的一个缩影。
节目的最后,
我想和你聊聊,
这件事背后,那个更根本的问题。
人类历史上,
每一种足够强大的新技术——
从火药,到核能——
都会面对同一个追问:
它的方向盘,应该握在谁的手里?
是握在最懂它、
也最有动力推动它的创造者手里?
那样也许最高效,
但是会不会,缺少制约?
还是握在更多人、
更多国家的手里?
那样也许更安全、更公平,
但是会不会,太慢、太乱?
AI,
正是我们这一代人,
要面对的那个新的"火"。
这一次,
我们能不能,
比过去做得更好一点?
所以最后,
我把两个问题,留给你。
第一,你信任谁,来为 AI 定规矩?
是科技公司,是政府,
还是某种全新的、大家一起参与的方式?
第二,回到你自己。
在这个 AI 飞速变化的时代,
你希望牢牢握在自己手里的,
又是什么?
这两个问题,没有标准答案。
但是它们,值得你慢慢地想。
English transcript reference

Today we'll talk about something that seems ordinary but is actually deeply significant.

On June 17, in the small French town of Évian,

on the final day of the G7 summit,

a special working lunch was held.

Let's first lay out the background.

G7 — the 'Group of Seven' —

is made up of the US, UK, France, Germany,

Japan, Italy, and Canada,

these seven developed countries.

Every year, these countries' leaders

gather together

to discuss the world's most important issues.

And this year, the most-watched issue,

with no suspense, is artificial intelligence — AI.

What truly made this lunch special was its seating.

On one side of the table

were the heads of state who hold political power,

including US President Trump

and French President Macron, among others.

On the other side

sat a group of people who hold technological power —

the leaders of today's top global AI companies.

According to reports, nearly a dozen tech leaders attended,

including OpenAI's Altman,

Google DeepMind's Hassabis,

Anthropic's Amodei,

plus executives from Meta, Mistral, Cohere,

Salesforce, and others.

You could say half of global AI

was seated at this one table.

The theme of this lunch,

in the official wording, was:

'Ensuring artificial intelligence is deployed safely, rapidly,

and effectively.'

Put plainly, the people at the table

were all trying to answer the same question:

when AI is this powerful,

how do we steer it?

The topics discussed were wide.

From the most frontier AI risks,

to the infrastructure that supports AI,

to a country's 'tech sovereignty',

and even how to protect children online.

But the core tension of the whole lunch

was concentrated on one question:

who, in the end, sets the rules for AI?

On this point,

several American tech-company leaders

gave a fairly consistent direction.

Anthropic's Amodei,

and Google DeepMind's Hassabis,

both called for building

a US-led AI coalition —

with America taking the lead, uniting a group of countries,

to jointly set AI's standards and rules.

OpenAI's Altman

went a step further, proposing

an international forum,

to give each country's AI

a unified, impartial test of capability and risk,

and to be a platform for cooperation among nations.

These proposals sound constructive.

But if you stand in Europe's shoes,

the flavor is a little different.

In recent years, European countries led by France

have grown more and more wary

of America's absolute dominance in AI.

They repeatedly stress one concept:

'tech sovereignty'.

What they imply is:

Europe is unwilling

to passively accept America's technology,

America's standards, the game rules America sets.

France stated clearly

that what Europe wants is the ability to compete,

not merely to comply and follow.

So you see,

this seemingly warm and friendly lunch,

beneath the table,

was a quiet contest over

future say-so.

On one side, the creators of the technology,

hoping that they, and their own country,

lead the making of the rules.

On the other, other countries,

unwilling to hand their future

entirely into someone else's hands.

So, this lunch —

did it ultimately produce a result?

The answer is: almost none.

Afterward, no specific policy was released,

and no binding agreement was formed.

Everyone just sat down

and put their positions and worries

on the table — that was all.

But, I'd say,

don't underestimate such a 'resultless' lunch.

Because it itself

sends a clear signal:

artificial intelligence

is no longer just a matter for tech companies.

Its importance

has risen to the point

where it needs the world's most powerful political leaders,

and its most capable technological leaders,

to sit down face to face

and discuss it in earnest.

This meal

is a microcosm of this era.

At the end of the show,

I want to talk with you about

the more fundamental question behind this.

In human history,

every sufficiently powerful new technology —

from gunpowder to nuclear energy —

has faced the same question:

in whose hands should its steering wheel be held?

In the hands of those who understand it best,

and are most driven to push it forward?

That might be most efficient,

but would it lack restraint?

Or in the hands of more people,

more countries?

That might be safer and fairer,

but would it be too slow, too chaotic?

AI

is exactly the new 'fire'

our generation must face.

This time,

can we

do a little better than before?

So finally,

I'll leave you with two questions.

First, whom do you trust to set the rules for AI?

Tech companies, governments,

or some entirely new way where everyone takes part?

Second, back to yourself.

In this era of AI changing so fast,

what is it that you hope

to hold firmly in your own hands?

These two questions have no standard answer.

But they are worth thinking about slowly.

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
zhèngzhìpolitics

HSK 1-4. politics.

zhèngfǔgovernment

HSK 1-4. government.

guójìinternational

HSK 1-4. international.

zhèngcèpolicy

HSK 1-4. policy.

jiélùnconclusion

HSK 1-4. conclusion.

gàiniànconcept

HSK 1-4. concept.

kējìtechnology

HSK 1-4. technology.

yìwèi shēncháng(idiom) deeply significant; full of meaning

看似平常,其实意味深长 = seems ordinary but is actually deeply significant.

yuánshǒuhead of state

掌握政治权力的各国元首 = the heads of state who hold political power.

zhǎngménrén(figurative) the head / leader of an organization

顶尖 AI 公司的掌门人 = the leaders of top AI companies.

bànbì jiāngshān(idiom) half of the whole (domain)

全球 AI 的半壁江山,都坐在了这一张餐桌旁 = half of global AI was at this one table.

jiàyùto steer; to control / harness

我们该如何驾驭它 = how do we steer it.

qiányánfrontier; cutting edge

最前沿的 AI 风险 = the most frontier AI risks.

jīchǔ shèshīinfrastructure

支撑 AI 的基础设施 = the infrastructure that supports AI.

* beyond level超纲词

What grammar patterns appear in this episode?

语法

看似 X,其实 Y (seems X, but actually Y)

Contrasts surface appearance with deeper reality.

看似平常,其实意味深长。

这场看似其乐融融的午餐,桌面之下,其实是一场角力。

毫无悬念,... (with no suspense / unsurprisingly)

Marks a foregone conclusion.

而今年,最受关注的议题,毫无悬念,是人工智能。

言下之意是 ... (the implication is...)

Unpacks what is meant beneath the words.

言下之意是:欧洲不愿意,只是被动地接受美国的技术。

不要小看 + Noun (don't underestimate X)

Asserts hidden importance.

不要小看这样一场'没有结论'的午餐。

是 ... 还是 ...? (is it X, or Y?) — paired rhetorical

Frames a genuine dilemma with two weighed options.

是握在最懂它的创造者手里?还是握在更多人、更多国家的手里?

从 X,到 Y (from X to Y) — historical sweep

Lists a range to make a general claim.

每一种足够强大的新技术——从火药,到核能——都会面对同一个追问。

这两个问题,没有标准答案。但是值得你慢慢地想。

The channel's signature normal-level close — two questions, no standard answer, worth thinking slowly.

这两个问题,没有标准答案。但是它们,值得你慢慢地想。

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-les-Bains — the French alpine town hosting the 2026 G7 summit特朗普TèlǎngpǔDonald Trump — US President, attended the lunch马克龙MǎkèlóngEmmanuel Macron — French President, host奥特曼ÀotèmànSam Altman — CEO of OpenAI; proposed an international AI-testing forum哈萨比斯HāsàbǐsīDemis Hassabis — CEO of Google DeepMind; backed a US-led coalition阿莫迪ĀmòdíDario Amodei — CEO of Anthropic; backed a US-led coalitionMeta / Mistral / Cohere / SalesforceMeta / Mistral / Cohere / Salesforceother tech firms whose executives attended the lunch技术主权jìshù zhǔquántech sovereignty — Europe's call to control its own AI destiny rather than follow the US

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