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AI Is Making Us Boring — How Chatbots Quietly Pick Our Restaurants and Choices — episode cover art
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AI Is Making Us Boring — How Chatbots Quietly Pick Our Restaurants and Choices

About this story

AI tools are picking our restaurants, ideas, and decisions for us — and slowly turning everyday life less interesting. HSK 2 Chinese listening practice.

This is an HSK 2 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 18 key vocabulary words such as 决定、饭馆、聪明 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.

现在生活我们经常手机电脑我们决定
比如今天是星期五
你想朋友一起去外面吃饭
但是不知道一个饭馆
时候你会怎么
很多拿出手机
他们会问手机今天晚上哪里吃饭最好
手机非常聪明
知道哪个饭馆有名
知道哪个饭馆最多
知道大家觉得哪个饭馆最好
所以手机很快告诉一个名字
应该这个饭馆大家喜欢这里
手机的话
去了那个饭馆
那里确实很好
那里服务客气
那里桌子椅子都很漂亮
觉得很高兴
但是你想一想
你的朋友问了手机同样问题
手机告诉这个饭馆
你的同学问了手机
手机这个饭馆
最后虽然这个城市很大虽然很多饭馆但是大家去了一个地方
大家一样
大家一样
就是我们说的问题
一些美国老师他们做了一个学习研究
他们知道自己东西电脑人选东西什么不同
他们看了很多人的选择
他们发现一个有意思事情
电脑我们东西时候我们变得越来越
为什么这样
我来解释一下
因为电脑喜欢最好东西
电脑看来最好意思就是最多喜欢
所以电脑总是有名红的东西那是
希望高兴所以一样东西
慢慢地大家衣服一样
大家电影一样
大家音乐也是一样
我们每个人都没有什么不同
就是那个老师说的一种情况
还有第二情况
现在电脑聪明
认识
知道什么名字
知道去年什么
知道喜欢什么
比如电脑知道喜欢苹果
一次你想水果时候电脑告诉苹果喜欢苹果
一次还是苹果
虽然很喜欢苹果但是永远香蕉
永远西瓜
不知道西瓜好不好因为电脑告诉
你的世界变得很小
只做以前过的事情
只看以前过的东西
不再新的地方
虽然电脑是想帮助但是变得无聊
无聊就是没意思
有意思地方我们每个人都不一样
喜欢红色衣服喜欢白色衣服
喜欢甜的喜欢
时候我们
比如我们去了一个不好饭馆
但是也是一种学习
也是生活一部分
如果我们总是电脑的话我们不会
但是我们失去发现东西机会
那个美国老师我们不要总是电脑
时候我们自己一想
我们自己
哪怕那个饭馆有名哪怕那个电影
也许你会发现一个很好东西
也许你会变得别人一样
才是真正
所以下次手机告诉最好的饭馆时候可以一想
最好什么意思
是不是只是因为
可以不去这个最好地方
可以旁边那个饭馆一下
就是我们今天告诉大家事情
我们刚才说的其实是关于人工智能问题
人工智能就是一样聪明电脑技术
现在人工智能很多
但是研究发现人工智能我们变得没有个性我们变得很像机器
所以我们小心不要技术我们变得没意思
English transcript reference

Speaking of modern life, we often let phones and computers help us make decisions.

For example, today is Friday.

You want to go out to eat with friends.

But, you don't know which restaurant to go to.

At this moment, what will you do?

Many people will take out their phones.

They will ask their phone: "Where is the best place to eat tonight?"

The phone is very smart.

It knows which restaurant is the most famous.

It knows which restaurant has the most people.

It also knows which restaurant's food everyone thinks is the most delicious.

So, the phone quickly tells you a name.

It says: "You should go to this restaurant, everyone likes it here."

You listened to the phone.

You went to that restaurant.

The food there was indeed very delicious.

The waiters there were also very polite.

The tables and chairs there were all very beautiful.

You feel very happy, right?

But, please think for a moment.

Your friend also asked the phone the same question.

The phone also told him to go to this restaurant.

Your classmate also asked the phone.

The phone also told him to go to this restaurant.

Finally, although this city is big and there are many restaurants, everyone went to the same place.

Everyone ate the same dishes.

Everyone drank the same tea.

This is the problem we want to talk about.

There are some American teachers who did a research study.

They wanted to know the difference between people choosing things themselves and computers helping people choose.

They looked at many people's choices.

They discovered a very interesting thing.

When computers help us choose things, we become more and more alike.

Why is it like this?

Let me explain a bit.

Because computers like the "best" things.

In the computer's view, "best" means "most people like it".

So, the computer always presents the most famous and popular things to you.

It hopes you are happy, so it doesn't give you different things.

Slowly, everyone's clothes become the same.

The movies everyone watches are the same.

The music everyone listens to is also the same.

We each don't have any differences anymore.

This is the first situation that teacher spoke about.

There is also a second situation.

Computers nowadays are smarter.

It recognizes you.

It knows what your name is.

It knows what you bought last year.

It knows what you like to eat.

For example, the computer knows you like to eat apples.

Next time, when you want to buy fruit, the computer will tell you: "Buy apples, you like apples."

The time after that, it still says: "Buy apples."

Although you really like apples, you will never buy bananas.

You will also never buy watermelons.

You don't know if watermelon tastes good because the computer didn't tell you.

Your world becomes very small.

You only do things you have done before.

You only watch things you have watched before.

You don't go to new places anymore.

Although the computer wants to help you, it makes you become very "boring".

"Wúliáo" means uninteresting.

The most interesting thing about humans is that we are all different.

Some people like red clothes, some people like white clothes.

Some people like eating sweet things, some people like eating salty things.

Sometimes, we will choose wrongly.

For example, we go to a bad restaurant and the food tastes bad.

But, this is also a kind of learning.

This is also a part of life.

If we always listen to the computer, we won't choose wrongly.

But, we also lose the opportunity to discover new things.

That American teacher said we shouldn't always listen to the computer.

Sometimes, we need to think for ourselves.

We need to choose for ourselves.

Even if that restaurant isn't famous, even if no one watches that movie.

Maybe you will discover something very good.

Maybe you will become different from others.

This is the real you.

So, next time the phone tells you "This is the best restaurant", you can think about it.

What does "best" mean?

Is it just because many people go there?

You can choose not to go to this "best" place.

You can go to that small restaurant next door to try it out.

This is the thing we want to tell everyone today.

What we just spoke about is actually a problem regarding "Artificial Intelligence".

Artificial Intelligence is computer technology that is as smart as humans.

Nowadays, many people use Artificial Intelligence.

But research has found that Artificial Intelligence makes us lose our individuality and makes us become very much like robots.

So, we must be careful not to let technology make us uninteresting.

Listen again

Try it without the transcript and notice what sounds clearer.

What vocabulary does this episode teach?

词汇
juédìngto decide; decision

Can be used as a verb (to decide) or a noun (a decision).

fànguǎnrestaurant

A common word for a place to eat.

cōngmingsmart / clever

Describes intelligence in people or animals, or advanced capability in technology (like smart phones).

yǒumíngfamous / well-known

Literally 'has name'. Describes people or places known by many.

zǒngshìalways

Adverb indicating frequency.

yīnggāishould / ought to

Used to give advice or express expectation.

fāxiànto discover / to find

To find out something new or realize something.

jīhuìopportunity / chance

Often used with verbs like 有 (have) or 失去 (lose).

fúwùyuánwaiter / server

HSK 1-2. waiter / server.

quèshíindeed / really

Used to affirm that a statement is true.

yánjiūresearch / study

Can be a noun (a study) or a verb (to research).

jiěshìto explain

To make something clear or give reasons.

yǒngyuǎnforever / always

Indicates infinite time or a permanent state.

wúliáoboring / bored

Can describe a person feeling bored or a thing being uninteresting.

shīqùto lose

To lose something abstract (like an opportunity, hope, or love).

nǎpàeven if

Conjunction used to introduce a hypothetical concession.

réngōng zhìnéngArtificial Intelligence (AI)

Specific technical term. 人工 (artificial) + 智能 (intelligence).

gèxìngpersonality / individuality

Refers to the unique character or traits of a person.

* beyond level超纲词

What grammar patterns appear in this episode?

语法

让 (ràng) + Person/Object + Verb/Adj

A causative structure meaning 'to let', 'to make', or 'to allow' someone/something to do something or reach a state.

我们经常让手机和电脑帮我们做决定。

它让你变得很“无聊”。

人工智能让我们变得没有个性。

虽然 ... 但是 ... (suīrán ... dànshì ...)

A conjunction pair meaning 'Although ... but ...'. In Chinese, both parts are usually spoken, whereas in English 'but' is omitted if 'although' is used.

虽然这个城市很大,虽然有很多饭馆,但是大家都去了同一个地方。

虽然你很喜欢苹果,但是你永远不买香蕉了。

越来越 + Adjective (yuè lái yuè)

Indicates a change over time, meaning 'more and more' or 'increasingly'.

我们变得越来越像了。

Verb + 过 (guò)

An aspect particle indicating that an action has been experienced in the past.

你只做以前做过的事情。

你只看以前看过的东西。

哪怕 ... (nǎpà ...)

Meaning 'even if' or 'no matter if'. It introduces a hypothetical scenario that does not change the outcome.

哪怕那个饭馆不有名,哪怕那个电影没人看。

Proper Nouns

专有名词
美国MěiguóUSA / America

Sources

来源

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