ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: The Great A.I. Debate: Should We Fear the Digital Revolution? [2015] | Intelligence Squared

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183 ประโยค

หากประโยคสั้นหรือยาวเกินไป กดที่ Edit เพื่อปรับแก้

So I've got some good and bad news

and since we're in England we'll start with the good news because we always need to end with the bad news.

The good news from your point of view and of course I'm arguing

that we should be scared but there's one thing we shouldn't be scared of.

We don't need to fear that in 20 or 30

or even 50 years we will become as human beings indistinguishable

from computers in other words in 50 years we could all

be here it could be like a science fiction movie

and we won't know whether you're sitting next to a computer

or not so that's the good news you don't have to worry about singularity

but that doesn't mean we should not be fearful of robots

that doesn't mean that we have a lot to be scared about just

because we're not about to become indistinguishable from robots doesn't mean they're about to take away our livelihood

and I'm guessing that many of you are lawyers

or doctors journalists people trained in a field you probably went

to university you spent years acquiring your intelligence your skill your intellect

and you sell

that skill as a teacher as a doctor as an accountant

as a lawyer your value in the economy is based on that expertise

and it is you I'm afraid who have the most to fear from this great revolution the digital revolution

which one set of economists call our second machine age

because this is as profound as earth shaking as culturally socially

and above all else economically profound as the first Industrial Revolution of the 19th century.

What we're on the brink of is a world of increasingly intense, sophisticated, artificial intelligence.

In Silicon Valley, where I'm from, we call it the machine learning revolution.

It's the revolution of algorithms, not the traditional science fiction, old -fashioned HG Wells notion,

Doctor Who, of the robot trundling along the street, the Dalek get

that image out of your mind think of the algorithm think

of the self -driving car think of Google think of these incredible new technologies

which are coming out of Silicon Valley

which are essentially replacing human labor skilled human labor

because here's the paradox it's really hard for computers to replicate

what seems to us to be simple tasks simple tasks like

doing the garden the washing up cooking cutting someone's hair

but on the other hand

and here is the dark scary horrific element to the new

world we're about to enter it's not difficult to do what seems to us at least to be the difficult things.

The bad news, and this is really bad news for most of you, and especially for your kids because they are trying to follow in your footsteps,

is that this world is about to be swept away by the digital revolution.

Machines will learn how to diagnose diseases.

What does that say for all doctors around the world?

We already have software now that grades essays.

What becomes of school teachers, what becomes of university teachers.

Two researchers at Oxford University have argued

that over the next 10 years 47 % of our jobs will become irrelevant

and those 47 % I'm afraid for you guys are your kind of jobs.

And it's not just skilled labor, it's not just the professional class, it's not just those people who have been fortunate

or unfortunate enough to go to university we have a large

audience a television audience from the developing world these are people

who are embracing education who see it as a way out

of poverty i'm afraid the news is really troubling for them

because they missed the bus development which was always taken for granted no longer will happen.

And we have these increasing inequalities in Silicon Valley because all the wealth is going to the platform companies.

All the wealth is going to companies like Amazon and Google

and the other companies that have harnessed this technology for their own benefit.

What we're seeing is a hollowing out of the middle class,

a hollowing out of the kind of jobs that you guys have depended on and a replacement by the algorithm,

by the machine, and by a tiny group of people who own and control that machine.

That's the reason, I'm afraid, why you should be afraid, very afraid.

Thank you.

Thank you very much.

So our second speaker is speaking against the motion, Walter Isaacson.

And Walter became famous for his internationally acclaimed book on the life of Steve Jobs,

and he gained unprecedented access to Steve Jobs in the last months of his life.

He's also president and CEO of the Aspen Institute in Washington

and a former chairman and CEO of CNN and the managing editor of Time magazine.

How do you fit it all in?

Thank you for making the time for us today.

Your time starts when you get to the lectern.

Thank you.

Thank you very much to have good news for you

and good news the good news is you don't have to be afraid

and the other piece of good news is there's no bad

news in this the future is really going to be cool since my

since my distinguished opponent mr keen started with the industrial revolution and said

that this new revolution would be as disruptive as the industrial revolution let me begin by reminding you

that the industrial revolution wasn't all that bad

and at the end of it we had more jobs not

fewer jobs technology can indeed be disruptive it can disrupt certain jobs as mr keen has said

but it always has and i submit always will produce more jobs because it produces more wealth more personal income,

more per capita wealth, and thus more things that we can make and buy.

Every succeeding generation has had a new wave of worry, dire warnings that jobs are being threatened.

But in each one of these cases, they turned out to be wrong.

I was at Time magazine i went back to look 50

years ago 50 years ago to this date almost time magazine did a cover

just like this just like the uh line

that we're looking at it said the robots are coming automation

will take your job it quoted a rather famous um economic historian robert holborn

or most of you have heard of him he says the new technology is threatening a whole new group of skills.

Sounded just like Mr. Keene.

He said the calculating, the remembering, the comparing, the okaying skills,

the preserve of the office worker will go away and machines will invade society to make that type of human labor redundant.

Well guess what?

It's been 50 years and since then, soon after he wrote that, we had the greatest leaps of technology you can imagine.

The The internet, the personal computer, and the microprocessor all come into play, but nobody has been rendered redundant.

There's more jobs and more types of jobs now than there were 50 years ago.

As Marc Andreassen, the person who invented the web browser,

said, just as most of us today have jobs that weren't invented 100 years ago, the same will be true 100 years from now.

Let me give some examples.

100

There's the app economy.

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It began in 2008

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when Steve Jobs was convinced by other members of his management

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team to allow outsiders to create apps for the iPhone and then the iPad.

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The app store alone since then has created 627 ,000 jobs.

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The app economy last year was $100 billion, far surpassing the film industry.

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This is an industry that did not exist seven years ago.

107

Other advances in technology have helped facilitate new forms of work, such as the sharing economy, where people both here, New York,

108

New Orleans, can drive cars, be part of Uber, be part of Airbnb, be part of Lyft.

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Likewise, online marketplaces such as Amazon and eBay have enabled the rise of artisans,

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makers, the type of people that existed in the pre -industrial age, people who had creative instincts and then could have connections to customers around the world.

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If you create a book or a song now, you have new ways to publish, as Pippa did with her own book, new ways to distribute.

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If you dream up a new specialty, this world allows you to find customers and provide a service,

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just as if you were an artisan or a service maker in the pre -industrial revolution.

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It even helps long -established companies find markets all over the globe.

115

There's a more fundamental shift going on in the economy that's also good.

116

We're creating an on -demand or on -tap economy.

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If you need a housekeeper or a handyman, you don't have to go to a particular firm to get it.

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It can be done on tap.

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If new technologies reduce the total number of jobs, we'd all be out of work now.

120

And I doubt that Mr. Keene, nor I, nor you, can guess what wondrous jobs technology will bring to our great -grandchildren.

121

Thank you.

122

Thank you very much indeed, Walter.

123

Our second speaker for the motion is economist George Magnus.

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After a long career in finance in the City of London, George has turned to writing, and he's written The Age of Aging,

125

a study of how demographics are changing the world, economy, and social systems.

126

So, George, please make your way to the lectern and tell us what you think.

127

Thank you very much.

128

So, we're going to talk economics now, okay?

129

Not populism.

130

So what I'd like to put to you this evening is

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that these digital and robotic technologies constitute a very powerful economic threat to our livelihoods because of its effect on jobs,

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on income distribution, and because they demand that we focus on coping mechanisms that we do not yet have.

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now our opponents in this debate

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and you've already heard the first will try to convince you

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that because mankind has always adapted to new technologies historically we shouldn't fear the robotic revolution

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but this time as they say it really is different

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and I'm going to tell you why

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so just over 200 years ago 64 men went on trial

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in York these Luddites they went on a rampage They burned mills and machinery and so on, but their campaign, as we know, was myopic because the Industrial Revolution,

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or the first Industrial Revolution, did leave us all better off.

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What we did is we harnessed power, and that exposed the limits of human brawn.

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But it was also complementary to human endeavour.

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This is the key point.

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It allowed us to blend men and machines in ways which boosted employment,

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growth, income, and sustained a rising and prosperous middle class.

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The modern technological revolution is different.

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It's exposing the limits not of human brawn, but of human brain.

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And instead of being complementary, modern technology is displacing us.

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Capital is being substituted more and more for labour, threatening jobs, living standards and, as we know from contemporary political debate,

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the fabric of the middle class.

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Not all jobs, of course, are at risk, as you've already heard.

152

Machines are not sufficiently dexterous to do all kinds of manual work

153

and lots of human cognitive and judgmental skills have not been replicated by machines and may not.

154

But they've already been doing routine -based or rule -based jobs on the factory floor and in offices for some time.

155

Since 2010, the number of low -paying and high -paying jobs has gone up, but the number of middle -level jobs,

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middle -wage -paying jobs, has stagnated or dropped in a pattern

157

that is replicated across the whole of Europe in the United States and indeed in some emerging countries, notably in China and India.

158

Successful capitalism needs us to be fully engaged, not just as gadgets savoring consumers, which we all are, but also as producers.

159

In other words, we need to have stable, productive, high levels of employment, which is what robotics is undermining.

160

And because capitalism rewards scarcity, and because the robotics revolution is generating productivity gains that are benefiting a limited number of people,

161

The principal rewards of modern technology are accruing to the owners of capital, not the owners of labor in the main.

162

Think about the three biggest firms in Silicon Valley.

163

They have 137 ,000 people, and these three companies have a market capitalization, in other words,

164

they're worth $1 .2 trillion dollars now just cast your mind

165

back 25 years to 1990 the three biggest companies in detroit had 10 times as many workers 1 .2 million

166

and their combined market value was a mere $36 billion.

167

This fundamental change in the relationship between capital

168

and labor is also illustrated by what we see in lots

169

of surveys about the rising share of profits in national income and the declining share of wages.

170

Because as economic inequality rises, so political inequality rises.

171

And those that benefit from more political power obviously seek changes

172

which further their own economic advantage

173

and you could easily end up without coping mechanisms at a very kind of dystopian political future.

174

I would remind you of the quip from Lord Keynes the famous British economist who quipped

175

that in the long run we're all dead by which he meant

176

that the economists focus on the long -run equilibrium was a waste of time because economic circumstances affect us now next year,

177

in the next few years, not at some vague point in the unmeasurable future.

178

And that's really what is important and brings me to my final point, which is that we need to think about this really seriously and try to develop coping mechanisms.

179

There could be many.

180

Better education, better training, improved access to capital, job protection schemes for certain occupations,

181

high minimum wage, direct transfers, labor -intensive construction, taxation of capital to help displaced workers and so on.

182

I'm not commending, ladies and gentlemen, any particular coping mechanism to you tonight,

183

merely pointing out that we have few and need many as the robotics revolution evolves.

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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้

บทเรียนฝึกพูดนี้ใช้วิดีโอ “The Great A.I. Debate: Should We Fear the Digital Revolution?” เป็นสื่อ วิดีโอนี้มี 183 ประโยค และ 2350 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 16:37 ผู้พูดพูดด้วยความเร็วสม่ำเสมอ ประมาณ 141 คำต่อนาที เหมาะกับการฝึกพูดตาม 84% ของคำอยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ ส่วนที่เหลือควรดูไว้ก่อนเริ่มฝึก

คำศัพท์สำคัญในวิดีโอนี้

คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:

คำศัพท์	คำอ่าน	ความหมาย
mechanism คำนาม	/ˈmɛk.ə.nɪ.zəm/	กลไก, เครื่อง
robot คำนาม	/ˈɹoʊ.bɑt/	หุ่นยนต์, โรบอต
economist คำนาม	/iˈkɑ.nə.mɪst/	นักเศรษฐศาสตร์
wage คำนาม	/weɪd͡ʒ/	ค่าจ้าง, ค่าแรง
algorithm คำนาม	/ˈælɡəɹɪðm̩/	ขั้นตอนวิธี, อัลกอริทึม
threaten คำกริยา	/ˈθɹɛt.n̩/	ขู่
inequality คำนาม	/ˌɪn.ɪˈkwɑ.lɪ.ti/	ความเหลื่อมล้ำ
robotics คำนาม	/ɹoʊˈbɑ.tɪks/	วิทยาการหุ่นยนต์
argue คำกริยา	/ˈɑɹ.ɡju/	เถียง, ถก
remind คำกริยา	/ɹəˈmaɪnd/	เตือน
fundamental คำคุณศัพท์	/ˌfʌn.dəˈmɛn.təl/	พื้นฐาน, เบื้องต้น
reward คำนาม	/ɹɪˈwɔɹd/	รางวัล
opponent คำนาม	/əˈpəʊ.nənt/	คู่ต่อสู้
capitalism คำนาม	/ˈkæp.ə.təlˌɪzm̩/	(ลัทธิ~)ทุนนิยม, ลัทธินายทุน
hollow คำคุณศัพท์	/ˈhɑloʊ/	กลวง

ไวยากรณ์ในวิดีโอนี้

โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:

โครงสร้าง	ในวิดีโอ
Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบัน	have argued · have been · have harnessed
Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำ	is based · be swept · was always taken
Relative clauses who / which + อนุประโยค — ข้อมูลเพิ่มเติมเกี่ยวกับคนหรือสิ่งของ	people who have · development which was · people who own

การออกเสียงที่ควรระวัง

ผู้พูดใช้รูปย่อและรูปลดเสียง 40 ครั้ง เช่น I'm, we're, don't ให้พูดแบบสั้นตามที่ได้ยิน

เสียง “th”: algorithm /ˈælɡəɹɪðm̩/, threaten /ˈθɹɛt.n̩/
เสียง “sh” และ “zh”: fiction /ˈfɪkʃən/, wash /wɑʃ/, essentially /ɪˈsɛnʃəli/, shake /ˈʃeɪk/, artificial /ˌɑː.tɪˈfɪʃ.əl/
คำยาว — ลงเสียงหนักให้ถูกพยางค์: mechanism /ˈmɛk.ə.nɪ.zəm/, economist /iˈkɑ.nə.mɪst/, inequality /ˌɪn.ɪˈkwɑ.lɪ.ti/, fundamental /ˌfʌn.dəˈmɛn.təl/, capitalism /ˈkæp.ə.təlˌɪzm̩/

เสียงที่คนไทยมักออกเสียงยาก:

เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: skill /skɪl/, wage /weɪd͡ʒ/, robotics /ɹoʊˈbɑ.tɪks/, fundamental /ˌfʌn.dəˈmɛn.təl/, convince /kənˈvɪns/
/v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: convince /kənˈvɪns/, invent /ɪnˈvɛnt/, poverty /ˈpɑːvɚti/, productive /pɹəˈdʌk.tɪv/, preserve /pɹəˈzɝv/
/z/ — เสียงก้อง ไม่ใช่ /s/: mechanism /ˈmɛk.ə.nɪ.zəm/, capitalism /ˈkæp.ə.təlˌɪzm̩/, preserve /pɹəˈzɝv/, expertise /ˌɛkspɜːˈtiːz/, likewise /ˈlaɪkˌwaɪz/

วิธีฝึกกับวิดีโอนี้

ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
พูดตามทีละประโยคด้วยความเร็วปกติ ทำซ้ำแต่ละประโยคจนจังหวะของคุณตรงกับผู้พูด
อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง mechanism, robot, economist เป็นพิเศษ

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →

ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: The Great A.I. Debate: Should We Fear the Digital Revolution? [2015] | Intelligence Squared

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เทคนิค Shadowing คืออะไร?