485 / AI说：你看起来像个东西，我爱你！You Look Like a Thing and I Love You

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人们受到更好的寻找

People are better at searching.

但当你去寻找

But when you go searching.

最好的方法是不寻找

The best way is not to search.

不要寻找 而是与Indeed合作

Don't search, but collaborate with Indeed.

寻找的过程可以很慢和荒凉

The process of searching can be slow and desolate.

简单地寻找Indeed

Simply search for Indeed.

Indeed是你的合作和寻找平台

Indeed is your platform for collaboration and job searching.

以Indeed数量来说,Indeed有超过350万个月份的观众

In terms of Indeed's numbers, Indeed has over 3.5 million monthly viewers.

以及一个合作引擎

and a collaborative engine

能帮你找到高级的选手很快

I can help you find high-level players quickly.

扔掉忙碌

Throw away the busyness.

使用Indeed

Use Indeed.

为计划 检查和讯息

Plan for inspection and messages.

所以你能更快地联系选手

So you can contact the players faster.

加入更多的3.5亿的公司

Join more than 350 million companies.

世界上使用Indeed

Indeed is used around the world.

去找高级人物很快

It’s quick to find high-level figures.

听众们的这个节目

This program for the audience

会得到$75的负责工作信息

You will receive information on responsible work for $75.

以让你的工作更有视力

To make your work more visible.

在indeed.com

on indeed.com

p-o-d-k-a-t-z-12

p-o-d-k-a-t-z-12

那是indeed.com

That is indeed.com.

p-o-d-k-a-t-z-12

p-o-d-k-a-t-z-12

条件和情况都在

The conditions and situation are all present.

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Please don't hesitate to like, subscribe, share, and support Mirror and the Diandian program with donations.

欢迎订阅 转发 打赏支持明镜与点点栏目

Welcome to subscribe, share, and donate to support the Mirror and Diandian programs.

请不吝点赞 订阅 转发 打赏支持明镜与点点栏目

Please don't hesitate to like, subscribe, share, and support Mingjing and the Diandian program.

欢迎订阅 转发 打赏支持明镜与点点栏目

Welcome to subscribe, forward, and support Mingjing and Diandian programs with donations.

input is better

The input is better.

或者说你的input好的话

Or say, if your input is good.

你的output就会很好

Your output will be great.

AI和人差不多

AI is similar to humans.

那么我从这本书里还学到的

So what I learned from this book is also

一个很具体的操作

A very specific operation.

其实这一点我觉得在现在

Actually, I think this is true now.

很多进行人工智能的运用的时候

When many implement artificial intelligence applications

都会谈到的就是narrow the task

What we often talk about is narrowing the task.

就是你把让AI去执行的指令

It's just the instructions you give to AI to execute.

或者说尺度尽量压缩到

Or it can be said that the scale is minimized as much as possible.

一个可控的范围

A controllable range.

给它一个界定的范围

Give it a defined scope.

让它在这个框架里面去工作

Let it work within this framework.

那么会非常有效

Then it will be very effective.

那么最常见的

So the most common ones.

比如说我们现在都知道

For example, we all know now.

你要给AI设定一个工作的

You need to set a job for the AI.

比如说方向

For example, direction.

如果你要让它给你提供一些

If you want it to provide you with some.

设计领域的建议

Suggestions in the design field

那么可以先给它指定这个角色

Then it can be assigned this role first.

是一个设计师

It is a designer.

是一个资深设计师

He is a senior designer.

然后你可以给它指定

Then you can specify it.

你要解决的问题

The problem you need to solve.

是哪个环境内的

In which environment is it?

哪个领域的问题

Which field's problems?

那么比如说

So, for example,

是这个用户体验设计的

It is the user experience design of this.

或者是UI设计的

Or it could be UI design.

然后再给它具体的问题

Then give it specific questions.

甚至再给它一些具体的例子

Even provide some specific examples for it.

这个时候

At this moment.

它给你的输出和反馈

It gives you output and feedback.

就会比较接近你需要的要求

It will be closer to the requirements you need.

所以narrow the task

So narrow the task.

这点也很重要

This point is also very important.

但另外就是局限了

But on the other hand, it is limited.

就是使用AI的局限了

It's just the limitations of using AI.

在这本书里面提到

It is mentioned in this book.

bears

bears

也就是这种

This is it.

偏见或者说偏差

Bias or deviation.

那么在使用AI的时候

So when using AI,

有偏差

There is a deviation.

其实我们都知道

In fact, we all know.

首先它有 hallucination

First, it has hallucination.

就是幻想

It's just a fantasy.

就AI它会非常自信的

AI will be very confident about it.

给你一些错误的答案

Give you some wrong answers.

想象的答案

Imagined answer

那么这是一种

So this is a kind of...

还有一种其实数据本身

There is actually another type of data itself.

可能会存在偏差

There may be deviations.

比如说数据你给到AI的

For example, the data you provide to AI.

或者说它现有的数据

Or it can be said that its existing data.

本身缺乏了某些方面的角度

Lacks certain perspectives in itself.

的话

if so

它输出的结果也会有问题

The output result will also have problems.

最常见的

The most common.

比如说在前段时间

For example, some time ago.

我不知道现在有没有修复了

I don't know if it has been fixed now.

在前段时间

Some time ago.

如果你要AI说

If you want AI to speak.

生成一个科学家的形象

Generate an image of a scientist.

它生成的科学家

The scientist it generated.

如果生成10张图片

If 10 images are generated.

可能有七八张都是男性

There may be seven or eight pictures that are all of males.

只有两三张是女性

Only two or three of them are women.

为什么呢

Why is that?

因为同样的情况

Because of the same situation.

当你在谷歌上去搜索

When you search on Google

scientist

scientist

科学家

Scientist

因为这个是一个宗姓词

Because this is a surname term.

没有男也没有女

There are no men and no women.

那么得出来的结果

Then the result obtained.

其实如果是

Actually, if it is...

搜图片的话

If you are searching for images.

那么前两页的大部分

So most of the previous two pages.

你看到的第一感觉的结果

The result of the first impression you see.

都是男性

All are males.

男性为多

More males.

所以这也是数据上出现的一些偏差

So this is also some bias that appears in the data.

那么如何去避免

So how to avoid it?

那么这是我们在使用AI的时候

So this is what we encounter when using AI.

我觉得应用者会需要考虑

I think the users will need to consider.

但从我们具体使用者来说

But from the perspective of us specific users.

具体的个人用户来说

For specific individual users

也需要去意识到

It also needs to be realized.

它是有偏差的

It is biased.

它是有想象的

It is imaginative.

你需要去核实

You need to verify.

你需要去带着critical thinking

You need to go with critical thinking.

就带着批判性思维

Just carry a critical mindset.

去看他们提供的内容

Go see the content they provided.

那么第二呢

Then what about the second?

就是关于这个道德方面的一些考虑

It is about some considerations regarding this ethical aspect.

比如说privacy

For example, privacy.

这个隐私

This privacy.

或者比如说这个AI会代替人的工作

For example, this AI might replace human jobs.

这些如何去考虑

How should we consider these?

那么这不是我这期节目

Then this is not my episode.

想深入聊的话题

Topics that I want to discuss in depth.

大家感兴趣

Everyone is interested.

可以去自己再去研究

You can go and study it yourself.

那么我之前在读这本书之前

So before I read this book,

其实有这些问题

In fact, there are these problems.

比如说AI和人是如何学东西的

For example, how AI and humans learn things.

在刚刚说到的machine learning

In the machine learning just mentioned.

就是已经把这个问题说清楚了

This means that the issue has already been clarified.

然后传统的编程和机器学习有什么区别

What is the difference between traditional programming and machine learning?

Ok 也知道了

Okay, got it.

那么AI是聪明还是蠢

So is AI smart or dumb?

这个领域这个角度其实也分

This field from this angle can actually be divided as well.

如果是从解决具体的问题

If it is about solving specific problems.

给它一个非常清晰的尺度

Give it a very clear scale.

然后有足够的良心和能力

Then have enough conscience and ability.

然后有足够的良心的或者优质的数据

Then there is enough conscientious or high-quality data.

可以分析的话

If it can be analyzed.

AI非常聪明

AI is very smart.

但如果是框架性的一些创新

But if it is some framework-related innovation.

或者是需要去进行一些模糊的判断的话

Or if it requires making some ambiguous judgments.

AI就比较愚蠢

AI is relatively stupid.

而且它会超捷径

And it will surpass shortcuts.

那么这大概就是这本书的一些

Then this is probably some of the content of this book.

我在书中学到一些很实际的一些用法

I learned some very practical usages from the book.

那么在这里其实有一个话题

So there is actually a topic here.

就是人和AI的结合以后会怎么办

What will happen after the integration of humans and AI?

那么很多人会在想AI已经在取代我们的工作了

Many people are wondering if AI is already replacing our jobs.

那么我想大家可能都已经很熟悉的一句话是

So I think everyone is probably very familiar with a phrase that is

不是AI在取代你的工作

It's not AI that is replacing your job.

是会用AI的人在取代你的工作

It is people who can use AI that are replacing your job.

那么就像我们

Then just like us

就像这个Andrew Ng就是温达

Just like this Andrew Ng is Wendao.

他的一句话

His words.

就是担心AI会取代人

I am just worried that AI will replace humans.

那么就像担心这个火星会变得非常拥挤

Then it's like worrying that this Mars will become very crowded.

会出现塞车一样

It will be like a traffic jam.

在现在这个阶段

At this stage.

它还不是我们现在需要去面对的问题

It's not a problem we need to face right now.

可能是很久之后才需要去考虑的问题

It might be a question to consider only after a long time.

但我们现在很多人都需要考虑的问题

But this is a question that many of us need to consider now.

就是你如何能够和AI进行良好的合作

It is about how you can collaborate effectively with AI.

然后如何去更好地使用它

Then how to use it better?

那么这本书的给我得到的一些观点

So, here are some viewpoints I gained from this book.

就是我们需要有批判性的思维

What we need is critical thinking.

需要去有验证

Need to go for verification.

然后需要去理解它的模式上的这种局限

Then we need to understand the limitations of its patterns.

那么你才会更好地运用它

Then you will be able to use it better.

而且能够取长补短

And can complement each other's strengths and weaknesses.

发挥你作为人的油管

Play your role as a human on YouTube.

这是我自己的一个故事

This is a story of my own.

然后另外其实就是两句话

Then there are actually two other sentences.

第一乐观一些

First, be more optimistic.

第二谨慎一些

Be more cautious.

OK

OK

Be optimistic

Be optimistic.

Be cautious

Be cautious.

那么这是对待AI的

So this is how to treat AI.

我自己的两个巨大的

My own two huge ones.

或者说两个take away

Or you could say two takeaways.

两个收获

Two harvests

也是自己在使用AI辅助我工作

I am also using AI to assist me with my work.

比如说现在我在录制这些节目之后

For example, now after I finish recording these programs.

我会用AI来帮我进行校对

I will use AI to help me with proofreading.

进行文字的输出剪辑

Perform text output editing.

进行中英文的翻译

Performing translations between Chinese and English.

那么我也会带着之前也会用使用AI来做一些调研

Then I will also use AI to conduct some research as I did before.

做一些research

Do some research.

但我总是会带着一点批判性思维去看待它

But I always approach it with a bit of critical thinking.

就是我会很乐观

I will be very optimistic.

认为AI可以让我们效率得到极大提升

It is believed that AI can greatly improve our efficiency.

但同时我对它的输出也需要带着一定的谨慎的态度

But at the same time, I need to approach its output with a certain level of caution.

那么这就是我在今天这期节目

So this is what I have for you in today's episode.

You look like a thing and I love you

You look like a thing and I love you.

这本书的书评

The book review.

想要和大家分享的一些自己的感受

I want to share some of my own feelings with everyone.

感谢您的收听

Thank you for your listening.

我们下期节目再见

See you in the next episode.

拜拜

Goodbye.

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Subtitles provided.