BOX SET: 6 Minute English - 'The Future' English mega-class! 30 minutes of new vocabulary!

219,276 views ・ 2023-06-11

BBC Learning English


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Hello. I'm Rob and this is 6 Minute
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English– the show that brings you an
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interesting topic, authentic listening
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practice and some vocabulary to help
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you improve your language skills.
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And hello, I'm Neil. Our topic today
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is transport. How do you think you'll
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be travelling to work in, say, 30
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years' time, Rob?
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Well, not only will homeworking
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be more prevalent – that means
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‘common’ – but I hope I won't be
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working in 30 years' time!
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Good answer! But if we look back
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and see how transport has changed
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in the last 30 years, it makes you
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wonder what the future holds.
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Yes, we've seen how air travel has
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become commonplace for
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many people.
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Commonplace means ‘not unusual’.
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And there's been the development of
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high-speed train travel. But the main
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priority has been speed – going
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faster to make your journeys quicker.
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That's true, and we'll be discussing
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some ideas for making transport
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even faster soon.
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But let's not waste any time and
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speed on to today's quiz question.
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Ah yes, time waits for no one, not
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even you, Neil.
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So, can you answer this question?
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According to Guinness World Records,
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in which country has the fastest
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ever train been recorded?
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Is it in… a) China, b) Japan, or,
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c) France?
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All these countries have fast
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trains but I've heard that Chinese
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trains go particularly fast. So, I'm going
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to say a) China.
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Well, you'll have to wait until the
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end of the programme to see if
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you're right.
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But let's talk more now about the
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future of transport.
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One development we hear much
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about is automation.
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Automation means ‘using
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machines to do work that humans
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normally do’ and in terms of
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transport this means driverless
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vehicles.
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It won't be too long before we
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become the passenger in a
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driverless car.
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Scary! And the French train
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engineering company, Alstom, is
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planning to test automated freight
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trains later this year.
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The automated train prototype can
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travel for about 100 kilometres
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without driver intervention.
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A prototype is the first version of
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something which can be tested
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before it is produced in large
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quantities.
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Of course, some trains are already
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driven by computers but there's
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an exciting plan to develop a form
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of driverless vehicle that could
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move you around at 1,123
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kilometres per hour.
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Come on, Neil. That sounds a bit
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far-fetched – like flying cars that
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we see in sci-fi movies – it's
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difficult to believe because
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it's unlikely to happen.
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Well, you say that but it's already
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being tested in Nevada in the
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USA and has a name – Hyperloop One.
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Tell me more!
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The idea is, you get loaded into
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a pod then you're pushed through
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a metal tube at high speed, taking
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you to your destination in minutes
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rather than hours.
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Anita Sengupta is the lead systems
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engineer and says there's nothing
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scary about it…
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The Hyperloop is a maglev train
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in a vacuum system – or in a vacuum
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tube – and so you can also think of
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it as an aircraft flying at 200,000 feet
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so people don't have any issue flying
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in aeroplanes and people don't have
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any issue going in maglev trains.
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This is simply combining the two
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and allows you to be more
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energy efficient.
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So, Anita Sengupta explained the
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type of technology the Hyperloop used.
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First she mentioned maglev – that's
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a short way of saying magnetic levitation.
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It's when trains travel on magnetic
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track rather than conventional rails.
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And then she mentioned a vacuum
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system - a vacuum is a space that
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has had all the air and any other
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gases removed from it.
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So the tube these pods travel in have
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no air in so there's no resistance.
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And these technologies are more
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efficient and they save energy.
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Which is a good thing.
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This sounds like a great way to
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travel but will it take off?
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Well, BBC technology correspondent
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Rory Cellan-Jones isn't so sure.
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He thinks it will be quite challenging
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to convince governments to allow
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long metal tubes to be built on or
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below ground.
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But we have to try these new
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technologies, Rob.
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If we didn't, we'd still be travelling
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around on horse and cart!
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A good point, Neil – and we wouldn't
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have been able to travel at the great
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speeds mentioned in today's question.
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Now, earlier I asked you, according to
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Guinness World Records, in which
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country has the fastest ever train
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travelled?
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Is it in…a) China, b) Japan, or
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c) France?
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And I said a) China.
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And you were wrong, Neil.
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China does have some very
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fast trains.
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But the fastest recorded train was a
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maglev from the Central Japan
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Railway Company, which ran on a
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test track at a speed of 603
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kilometres per hour.
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Now that would make my
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commute to work very quick!
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OK, shall we recap some of the
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vocabulary we've heard today?
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Starting with commonplace.
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Yes. Which means ‘not unusual or often seen’.
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For example, 'free Wi-Fi in coffee shops
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is commonplace these days.'
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And very useful it is too!
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Next we had automation, meaning
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‘using a machine to do something
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instead of a human.’
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'Automation in the car making
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industry has led to the loss of
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hundreds of jobs.'
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Of course, when you build a new car
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you need to make a prototype – that's
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the first version of something which
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can be tested before it is produced in
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large quantities.
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'The prototype of a new solar-powered
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bike has been so successful that it's
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now going into mass-production.'
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Come on, Rob, that sounds a bit
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far-fetched – and by that I mean ‘so
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unbelievable it's unlikely to happen.’
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Well, something people once thought
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far-fetched is now a reality and that's
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maglev – that's short for magnetic
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levitation and is how some of the
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world's fastest trains travel.
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Finally, we discussed the word vacuum.
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It's a space that has had all the air and
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other gases removed from
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it – basically an empty space.
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'The plan for Virgin's Hyperloop One
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is to make a maglev even faster by
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putting it in a vacuum tube.'
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And that brings us to the end of
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today’s 6 Minute English.
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Don’t forget to check out our You Tube,
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Facebook, Twitter and Instagram pages,
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and we’ll see you next time. Goodbye.
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Bye
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06:13
Hello. This is 6 Minute English from
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BBC Learning English. I’m Neil.
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And I’m Rob.
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From the ancient Roman sea god, Neptune,
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to myths of mermaids, to modern Hollywood
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films like Finding Nemo, people throughout
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history have been fascinated by the idea of
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living underwater.
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In this programme, we’ll be hearing about
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projects to create liveable underwater
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habitats and the challenges they face.
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We’ll be finding out how realistic it is to
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believe that in a few years we could be
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eating breakfast whilst watching fish
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swim outside the kitchen window, before
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heading off to work in an office under
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the ocean...
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…and we’ll be learning some related
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vocabulary as well.
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But first, it’s time for our quiz question.
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One of the first adventure stories to fire
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the public’s imagination about the
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underwater world was the 1870 novel,
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Twenty Thousand Leagues Under the Sea.
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But who wrote this underwater classic?
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Was it: a) H G Wells?, b) Arthur
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Conan Doyle?, or c) Jules Verne?
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I think I know this one, Neil. Wasn’t it,
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a) H G Wells?
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OK, Rob, we’ll find out later if you’re right.
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Now, one of the most ambitious designs
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for an underwater city is Ocean Spiral,
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a huge transparent globe attached
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to the seabed – the solid ground
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which lies deep below the sea level.
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The top of the globe stands above
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the surface of the ocean and
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running through the centre is a tower
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to add strength, and to provide space
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for homes, offices and even an
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amusement park for five thousand
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underwater residents.
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Ocean Spiral has been dreamt up
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by the Japanese Shimizu Corporation.
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Here’s Shimizu engineer, Maksaki
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Takeuchi, explaining to BBC World
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Service programme, CrowdScience,
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the motivation behind the idea:
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At the moment the world is facing a
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lot of serious problems regarding food,
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energy, water, natural resources...
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however, we are trying to solve the
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issues just by using our land.
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Our idea is to connect the sea surface
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and the deep sea vertically and that way
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we believe that we can utilise the
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capability of the deep sea and that’s the
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purpose of this whole project.
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The effects of human activity on the
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land have led some to look to the oceans
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for natural resources - naturally existing
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things such as minerals, oil, coal and
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other energy sources that can be
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used by people.
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This search deep underwater is
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happening vertically - at a ninety
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degree angle straight up or down
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from the ground, as opposed to
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horizontally, or flat across the
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Earth’s surface.
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But as yet, Shimizu Corporation’s plans
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for an underwater city are still in the
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planning stages - no part of the project
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has yet been built and the total cost
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is thought to exceed 26 billion dollars.
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In fact, the longest anyone has spent
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living under the sea is only 73 days.
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That record was set by Roger Garcia,
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ex-military diver and head of The
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Aquarius, currently the world’s only
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underwater research station.
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Here’s Roger Garcia, explaining to
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BBC World Service programme,
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CrowdScience, what happens to the
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human body after living underwater
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for so long:
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Perhaps a change in their voice, not
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much ‘cos we’re not very deep, that’s
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because the air becomes denser.
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Physiologically, the most important thing
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though, is that since you are, in this case,
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at two and a half times atmospheric
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pressure you do take on more inner gas,
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and, in this case, inside The Aquarius we
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just breathe normal air - you’re gonna
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take on more nitrogen and depending
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on how long you stay in The Aquarius,
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that’s going to incur some sort of
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decompressed obligation.
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In addition to engineering challenges,
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living underwater for long periods of
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time also affects the human body.
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One example is the bends – or
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decompression sickness, a serious
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medical disorder created by nitrogen
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bubbles in the muscles when returning
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to the surface of the sea too quickly.
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The bends, and changes to the voice,
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are examples of how underwater living
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changes the body
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physiologically – relating
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to how the bodies of living humans and
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animals function.
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As divers descend deep below the
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ocean’s surface, there is an increase in
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atmospheric pressure – the normal air
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pressure within the Earth’s atmosphere.
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The deeper they dive, the higher
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the pressure.
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Physiological reactions like the bends are
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caused by divers incorrectly readjusting
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to normal atmospheric pressure.
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Well, Neil, with so many difficulties, it’s
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no surprise that H G Wells's fantasy of
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living under the sea is still science-fiction.
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Ah, but are you sure it was H G Wells,
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11:15
Rob?
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11:16
In my quiz question I asked you who wrote
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11:18
the classic underwater adventure Twenty
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Thousand Leagues Under the Sea.
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Yes, and I said a) H G Wells.
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11:25
Which was… the wrong answer!
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11:27
It was, in fact, c) Jules Verne, the
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11:30
French author who also wrote Around
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11:32
the World in Eighty Days.
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11:34
In this programme, we’ve been
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11:35
discussing the challenge of living
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11:36
underwater, going down vertically – at
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11:39
a 90 degree angle – to the seabed – the
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11:42
solid ground hundreds of metres under
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11:44
the sea.
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11:44
Ocean explorers search underwater
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11:46
for natural resources – useful materials
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11:49
like coal and oil.
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11:50
But they face many physiological
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1920
11:52
problems – problems relating to how
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2160
11:54
the human body functions, such as the
336
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2240
11:57
bends – a painful medical condition
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11:59
caused by returning too quickly to
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1920
12:01
atmospheric pressure – the Earth’s
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12:03
usual air pressure.
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12:05
That’s all for this programme, but we
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12:06
hope you’ll be diving back into 6 Minute
342
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12:08
English very soon.
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12:10
Bye for now!
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12:11
Bye!
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683
12:17
Hello and welcome to 6 Minute
346
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12:19
English. I'm Dan and joining me
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1600
12:20
today is Neil. Hi, Neil.
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12:22
Hi Dan. What’s with the protective
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12:24
gear and helmet?
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12:25
I’m just getting ready for the inevitable
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12:27
rise of the machines. That’s the takeover
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12:30
of the world by artificial intelligence, or
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3200
12:33
AI, which some people predict will happen.
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12:37
'Inevitable' means 'cannot be avoided or
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12:39
stopped'. Rise of the machines? What do
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12:42
you mean?
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12:43
It’s our topic in this 6 Minute English.
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12:45
We’ll be talking about that, giving you
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12:47
six related pieces of vocabulary and, of
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12:50
course, our regular quiz question.
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12:52
That’s the first thing you’ve said that
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1600
12:54
makes any sense. What’s the question?
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12:56
The word ‘robot’ as we use it today was first
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12:59
used in a 1920’s Czech play ‘Rossum’s Universal
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13:03
Robots’. But before this, what was its
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3440
13:07
original meaning:
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1520
13:08
a) forced labour, b) metal man, or
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13:11
c) heartless thing?
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13:13
I will go for a) forced labour.
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13:17
We’ll find out if you were right or not
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13:19
later in the show.
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13:20
OK Dan. Tell me what’s going on.
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13:22
I saw a news article written by BBC
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2480
13:25
technology correspondent Rory
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1920
13:27
Cellan-Jones about the recent CES
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3120
13:30
technology show in Las Vegas.
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13:32
He interviewed David Hanson, founder
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2800
13:35
of Hanson Robotics, who said it was his
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3120
13:38
ambition to achieve an AI that can beat
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13:42
humans at any intellectual task.
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13:45
Surely, it’s a good thing! Better AI and
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13:48
robotics could take over many of the
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13:50
jobs that we don’t want to do, or that
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2240
13:52
are so important to get 100% right…
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2560
13:55
like air traffic control.
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1920
13:57
We’d never have another plane crash.
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1920
13:59
It would be infallible because it
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14:00
would be so clever.
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14:02
'Infallible' means 'never failing'.
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14:04
And that’s what bothers me.
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14:06
What happens when its intelligence
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1920
14:08
surpasses ours? Why should it do
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14:10
what we want it to do?
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1600
14:12
To surpass something is to do or
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1920
14:14
be better than it. Dan, you’ve been
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14:16
watching too many movies.
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14:17
Robots fighting humanity is a
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1760
14:19
popular theme. Guess what… humanity
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14:22
often wins. And besides, we would
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14:24
programme the computer to be
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1280
14:25
benevolent.
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1120
14:26
'Benevolent' means 'kind and helpful'.
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2480
14:29
But that’s just it, once the intelligence
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14:31
becomes sentient, or able to think for
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2640
14:34
itself, who knows what it will do.
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14:36
We humans are not exactly perfect,
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1840
14:38
you know. What happens if it decides
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2160
14:40
that it is better than us and wants us
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14:42
out of the way?
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14:44
Don’t worry. Asimov thought of that.
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2800
14:46
Isaac Asimov was an American
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1760
14:48
science fiction writer who, among
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2080
14:50
other things, wrote about robots.
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1920
14:52
He came up with three laws that
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2000
14:54
every robot would have to follow to
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2160
14:56
stop it from acting against humanity.
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2160
14:58
So we’re safe!
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15:00
I’m not so sure. A sentient robot could
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2800
15:03
make up its own mind about how to
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2000
15:05
interpret the laws. For example, imagine
421
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3120
15:08
if we created an AI system to protect
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2880
15:11
all of humanity.
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1120
15:12
Well, that’s great! No more war.
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1920
15:14
No more murder. No more fighting.
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1920
15:16
Do you really think that humans
426
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1600
15:17
can stop fighting? What if the AI decides
427
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2880
15:20
that the only way to stop us from hurting
428
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2240
15:22
ourselves and each other is to control
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3920
15:26
everything we do, so it takes over to
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3040
15:29
protect us. Then we would lose our
431
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2880
15:32
freedom to a thing that we created
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2480
15:35
that is infallible and more intelligent
433
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2960
15:38
than we are! That’s the end, Neil!
434
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2720
15:40
I think that’s a little far-fetched, which
435
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2080
15:42
means difficult to believe.
436
942960
1360
15:44
I’m sure others don’t think that way.
437
944320
1840
15:46
OK. Let’s hear what the Learning
438
946160
1920
15:48
English team say when I ask them
439
948080
2240
15:50
if they are worried that AI and robots
440
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2480
15:52
could take over the world.
441
952800
1810
15:55
Well, it’s possible, but unlikely.
442
955417
3143
15:58
There will come a point where our
443
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1120
15:59
technology will be limited – probably
444
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2160
16:01
before real AI is achieved.
445
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2340
16:05
Never in a million years. First of all,
446
965120
2960
16:08
we’d programme them so that they
447
968080
1760
16:09
couldn’t, and secondly we’d beat
448
969840
2400
16:12
them anyway. Haven’t you ever
449
972240
1760
16:14
seen a movie?
450
974000
1709
16:16
I totally think it could happen.
451
976697
2183
16:18
We only have to make a robot
452
978880
1680
16:20
that’s smart enough to start
453
980560
1280
16:21
thinking for itself. After that, who
454
981840
2240
16:24
knows what it might do.
455
984080
1466
16:26
A mixed bag of opinions there, Dan.
456
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1920
16:28
It seems you aren’t alone.
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2160
16:30
Nope. But I don’t exactly have
458
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1840
16:32
an army of support either. I guess
459
992400
2480
16:34
we’ll just have to wait and see.
460
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1440
16:36
Speak for yourself. I’ve waited
461
996320
1600
16:37
long enough – for our quiz question
462
997920
1600
16:39
that is.
463
999520
560
16:40
Oh yeah! I asked you what the
464
1000080
1680
16:41
original meaning of the word ‘robot’
465
1001760
1920
16:43
was before it was used in its
466
1003680
2080
16:45
modern form:
467
1005760
1280
16:47
a) forced labour, b) metal man, or
468
1007040
2960
16:50
c) heartless thing?
469
1010000
1760
16:51
And I said a) forced labour.
470
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1760
16:53
And you were… right!
471
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2240
16:55
Shall we take a look at the
472
1015760
880
16:56
vocabulary then?
473
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1280
16:57
OK. First we had inevitable.
474
1017920
3040
17:00
If something is inevitable then it
475
1020960
2000
17:02
cannot be avoided or stopped.
476
1022960
2400
17:05
Can you think of something
477
1025360
880
17:06
inevitable, Neil?
478
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1040
17:07
It is inevitable that one day the
479
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2000
17:09
Sun will stop burning. Then we had
480
1029280
2960
17:12
infallible, which means never failing.
481
1032240
2720
17:14
Give us an example, Dan.
482
1034960
1360
17:16
The vaccine for smallpox is infallible.
483
1036320
2560
17:18
The natural spread of that disease
484
1038880
1600
17:20
has been completely stopped.
485
1040480
2000
17:22
After that was 'surpasses'.
486
1042480
2320
17:24
If something surpasses something
487
1044800
1920
17:26
else then it becomes better than it.
488
1046720
2560
17:29
Many parents across the world hope
489
1049280
1680
17:30
that their children will surpass them
490
1050960
1680
17:32
in wealth, status or achievement.
491
1052640
2960
17:35
After that we heard benevolent, which
492
1055600
1760
17:37
means kind and helpful. Name a person
493
1057360
2240
17:39
famous for being benevolent, Dan.
494
1059600
1877
17:41
Father Christmas is a benevolent
495
1061477
2363
17:43
character.
496
1063840
1160
17:45
After that we heard sentient.
497
1065000
2360
17:47
If something is sentient, it is able
498
1067360
2160
17:49
to think for itself.
499
1069520
1360
17:50
Indeed. Many people wonder about
500
1070880
1520
17:52
the possibility of sentient life on
501
1072400
2480
17:54
other planets. Finally, we heard
502
1074880
2160
17:57
far-fetched, which means difficult
503
1077040
1600
17:58
to believe. Like that far-fetched
504
1078640
2000
18:00
story you told me the other day
505
1080640
1280
18:01
about being late because of a
506
1081920
1280
18:03
dragon, Dan.
507
1083200
880
18:04
I swear it was real! It had big sharp
508
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2560
18:06
teeth and everything!
509
1086640
960
18:07
Yeah, yeah, yeah. And that’s the end
510
1087600
1920
18:09
of this 6 Minute English. Don’t forget
511
1089520
1840
18:11
to check out our Facebook, Twitter,
512
1091360
1600
18:12
and YouTube pages.
513
1092960
1200
18:14
See you next time!
514
1094160
1120
18:15
Bye!
515
1095280
560
18:15
Bye.
516
1095840
500
18:22
Hello. This is 6 Minute English
517
1102000
1600
18:23
from BBC Learning English.
518
1103600
1520
18:25
I’m Neil.
519
1105120
880
18:26
And I’m Sam.
520
1106000
1360
18:27
Are you feeling well, Sam?
521
1107360
1680
18:29
No headache or sore throat?
522
1109040
2160
18:31
No, I feel fine, thanks, Neil.
523
1111200
2560
18:33
Why do you ask?
524
1113760
1520
18:35
Well, I’ve been reading some
525
1115280
1360
18:36
inspirational stories about the
526
1116640
1760
18:38
doctors and nurses
527
1118400
1120
18:39
fighting Covid. When I was a boy, I
528
1119520
2320
18:41
always dreamed of becoming a doctor.
529
1121840
2310
18:44
Ah, I see. Have you ever been in
530
1124150
2570
18:46
hospital?
531
1126720
1280
18:48
Yes, I have, and I remember the
532
1128000
2080
18:50
nurse’s bedside manner – you
533
1130080
1520
18:51
know, the kind and caring way
534
1131600
1840
18:53
that doctors and nurses
535
1133440
1280
18:54
treat people who are ill.
536
1134720
1680
18:56
Nowadays more and more of the
537
1136400
1680
18:58
jobs that humans do are being carried
538
1138080
2080
19:00
out by machines. But I doubt that a
539
1140160
2720
19:02
doctor’s bedside manner could easily
540
1142880
2160
19:05
be replaced by a robot.
541
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2093
19:07
In this programme, we’ll be discussing
542
1147133
2067
19:09
whether the revolution in artificial
543
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1920
19:11
intelligence, often shortened to ‘AI’,
544
1151120
2560
19:13
could replace human doctors
545
1153680
1600
19:15
and nurses.
546
1155280
880
19:16
We’ll be asking: can you imagine a
547
1156160
2000
19:18
future without doctors?
548
1158160
2000
19:20
In fact, machines are already doing
549
1160160
2320
19:22
some of the jobs traditionally done
550
1162480
1840
19:24
by doctors - scanning people’s
551
1164320
2160
19:26
bodies to detect skin cancer,
552
1166480
2160
19:28
for example.
553
1168640
1360
19:30
Yes, that’s true, Sam, and it links to
554
1170000
1840
19:31
my quiz question which is about
555
1171840
1760
19:33
human skin. It’s a well-known fact that
556
1173600
2800
19:36
skin is the human body’s largest
557
1176400
2160
19:38
organ – but how much skin does the
558
1178560
2320
19:40
average adult have? Is it:
559
1180880
2000
19:42
a) 2 square metres?,
560
1182880
2240
19:45
b) 3 square metres? or
561
1185120
2640
19:47
c) 4 square metres?
562
1187760
2640
19:50
Of course our skin gets loose as
563
1190400
2000
19:52
we age but I can’t believe there’s
564
1192400
2240
19:54
3 square metres of it!
565
1194640
2320
19:56
I’ll say the answer is
566
1196960
1280
19:58
a) 2 square metres.
567
1198240
2646
20:00
OK, we’ll find out if that’s correct later.
568
1200886
3194
20:04
Every year in the UK over 5 million
569
1204080
2560
20:06
people are treated for skin cancer.
570
1206640
2080
20:08
Catch it early and your chances
571
1208720
1600
20:10
of survival are increased.
572
1210320
2130
20:12
Usually a skin specialist, or
573
1212450
2430
20:14
dermatologist, will examine your skin
574
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2880
20:17
using a handheld microscope.
575
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2720
20:20
But in 2017, a team of researchers
576
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2800
20:23
at Stanford Medical School made
577
1223280
2240
20:25
an exciting announcement.
578
1225520
2000
20:27
Here’s Oxford University researcher
579
1227520
2000
20:29
Daniel Susskind, telling BBC World
580
1229520
2160
20:31
Service programme, The Big Idea, what
581
1231680
2240
20:33
the medics at Stanford had invented:
582
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3069
20:36
A team of researchers at Stamford
583
1236989
2371
20:39
last year announced the development
584
1239360
1360
20:40
of a system that, if you give it a photo
585
1240720
1520
20:42
of a freckle it can tell you as accurately
586
1242240
2480
20:44
as twenty-one leading dermatologists
587
1244720
2560
20:47
whether or not that freckle is cancerous.
588
1247280
2703
20:51
The Stanford medical team had
589
1251183
1937
20:53
invented an AI system to analyse
590
1253120
2960
20:56
freckles – small brown spots
591
1256080
2560
20:58
found on people’s
592
1258640
880
20:59
skin, especially on pale skin.
593
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3419
21:02
As it turned out, the AI programme was
594
1262939
2501
21:05
better than human doctors at
595
1265440
1440
21:06
telling whether a freckle was harmless
596
1266880
1840
21:08
or cancerous – connected to some
597
1268720
1920
21:10
type of cancer.
598
1270640
1280
21:11
So, it seems that artificial intelligence
599
1271920
2160
21:14
is already replacing humans when
600
1274080
2160
21:16
it comes to detecting
601
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1520
21:17
cancer – and doing
602
1277760
1600
21:19
a better job of it.
603
1279360
1840
21:21
But Daniel Susskind isn’t convinced.
604
1281200
2640
21:23
One reason is that AI systems still
605
1283840
2240
21:26
need humans to programme
606
1286080
1440
21:27
them – and as it turns out, knowing
607
1287520
2320
21:29
exactly how doctors detect
608
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1680
21:31
illness remains
609
1291520
960
21:32
something of a mystery.
610
1292480
1760
21:34
Here’s Daniel Susskind again in
611
1294240
2000
21:36
conversation with BBC World
612
1296240
1600
21:37
Service programme, The Big Idea:
613
1297840
2836
21:41
If you ask a doctor how it is they
614
1301697
2463
21:44
make a diagnosis, they might be
615
1304160
2480
21:46
able to point you to particularly
616
1306640
2240
21:48
revealing parts of a reference book
617
1308880
1840
21:50
or give you a few rules of thumb,
618
1310720
1760
21:52
but ultimately they’d struggle…
619
1312480
1200
21:53
they’d say again it requires
620
1313680
1440
21:55
things like creativity and judgment,
621
1315120
1680
21:56
and these things are very difficult to
622
1316800
2240
21:59
articulate – and so traditionally it’s
623
1319040
1920
22:00
been thought very hard to
624
1320960
1040
22:02
automate – if a human being can’t
625
1322000
1520
22:03
explain how they do these special
626
1323520
1760
22:05
things, where on earth do we begin
627
1325280
2160
22:07
in writing instructions for a
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1327440
1200
22:08
machine to follow?
629
1328640
2800
22:12
Most doctors find it difficult to
630
1332000
2080
22:14
explain how they make a
631
1334080
1440
22:15
diagnosis – their judgement
632
1335520
1840
22:17
about what someone’s
633
1337360
1120
22:18
particular sickness is, made by
634
1338480
1920
22:20
examining them.
635
1340400
1123
22:21
Diagnosing someone’s illness is
636
1341920
1920
22:23
complicated but there are some
637
1343840
1760
22:25
rules of thumb. A rule of thumb is
638
1345600
3120
22:28
a practical but approximate way
639
1348720
2800
22:31
of doing something.
640
1351520
1440
22:32
For example, when cooking, a good
641
1352960
2080
22:35
rule of thumb is two portions of
642
1355040
1840
22:36
water to one portion of rice.
643
1356880
2480
22:39
Exactly. And because identifying
644
1359360
2640
22:42
sickness is so difficult, Daniel
645
1362000
2560
22:44
says “where on earth do we
646
1364560
1840
22:46
begin writing instructions for a
647
1366400
1760
22:48
machine?” We use phrases like
648
1368160
2480
22:50
where, how or what on earth to show
649
1370640
3360
22:54
feelings like anger, surprise
650
1374000
2640
22:56
or disbelief.
651
1376640
1360
22:58
I might show surprise by asking
652
1378000
1760
22:59
Sam, ‘how on earth did you know
653
1379760
1600
23:01
the answer to that?’
654
1381360
1246
23:02
Ha ha! I guess you’re talking about
655
1382606
2114
23:04
your quiz question, Neil? And
656
1384720
2080
23:06
you needn’t be so
657
1386800
880
23:07
surprised – I’m naturally brainy!
658
1387680
2720
23:10
Of course you are. In my quiz
659
1390400
1760
23:12
question, I asked Sam how
660
1392160
1440
23:13
much skin there is
661
1393600
1120
23:14
on an adult human body.
662
1394720
2240
23:16
And I said it was a) 2 square
663
1396960
2320
23:19
metres.
664
1399280
1123
23:20
Which was… the correct answer!
665
1400403
2477
23:22
With your brains, I think you’d make
666
1402880
1520
23:24
a good doctor, Sam, and I’m sure
667
1404400
1840
23:26
you’d have a good bedside
668
1406240
1360
23:27
manner too.
669
1407600
1440
23:29
You mean, the kind and caring way
670
1409040
2720
23:31
that doctors and nurses treat
671
1411760
1440
23:33
their patients.
672
1413200
1306
23:34
OK, let’s recap the rest of the
673
1414506
1974
23:36
vocabulary, starting with freckle – a
674
1416480
2720
23:39
small brown spot
675
1419200
1200
23:40
on someone’s skin.
676
1420400
1280
23:41
Freckles are usually harmless, but
677
1421680
1680
23:43
some skin spots can be
678
1423360
1360
23:44
cancerous – connected to cancer.
679
1424720
2640
23:47
A doctor’s diagnosis is their
680
1427360
1840
23:49
judgement about what someone’s
681
1429200
1600
23:50
particular sickness
682
1430800
1200
23:52
or disease is.
683
1432000
1523
23:53
A rule of thumb is a useful but
684
1433523
2157
23:55
approximate way of doing or
685
1435680
1680
23:57
measuring something.
686
1437360
1440
23:58
And finally, we use phrases
687
1438800
1680
24:00
like, 'where on earth..?'
688
1440480
1789
24:02
as a way to show emotions
689
1442269
1657
24:03
like anger, surprise or disbelief.
690
1443926
2874
24:06
That’s all for this programme
691
1446800
1360
24:08
but join us for the next edition
692
1448160
1520
24:09
of 6 Minute English
693
1449680
1280
24:10
when we’ll discuss another
694
1450960
1200
24:12
trending topic
695
1452160
880
24:13
and the related vocabulary.
696
1453040
2216
24:15
Why on earth would you miss it?
697
1455256
2024
24:17
Goodbye for now!
698
1457280
1440
24:18
Goodbye!
699
1458720
926
24:25
Hello. This is 6 Minute English
700
1465400
1842
24:27
from BBC Learning English.
701
1467242
1414
24:28
I’m Neil.
702
1468656
864
24:29
And I’m Rob.
703
1469520
717
24:30
From the bubonic plague to
704
1470237
1853
24:32
cholera and tuberculosis, disease
705
1472090
2916
24:35
and pandemics have changed the
706
1475006
2036
24:37
way cities have been built.
707
1477042
2074
24:39
For example, buildings in 19th century Paris
708
1479116
3284
24:42
were designed with large, high-up windows
709
1482400
2696
24:45
to allow plenty of sunlight.
710
1485096
1728
24:46
They were supposed to stop
711
1486824
1466
24:48
the spread of tuberculosis.
712
1488290
2000
24:50
Coronavirus has been no different.
713
1490290
2730
24:53
In lockdown, cities from Rio to Barcelona
714
1493020
3835
24:56
were transformed as wildlife and birdsong
715
1496855
2697
24:59
replaced the noise of taxi horns
716
1499552
2000
25:01
and traffic. And with no car pollution,
717
1501552
2403
25:03
you could even see the stars at night!
718
1503955
3056
25:07
In this programme, we’ll be asking if cities
719
1507011
2190
25:09
after lockdown will ever be the same
720
1509201
1926
25:11
again – and if we want them to be.
721
1511127
1964
25:13
We’ll be hearing some ideas from
722
1513091
1853
25:14
different cities around the world.
723
1514944
2073
25:17
And, of course, we’ll be learning
724
1517017
1780
25:18
some new vocabulary along the way.
725
1518797
2257
25:21
One of the cities most affected by
726
1521054
2000
25:23
Covid-19 was Mumbai in India –
727
1523054
2696
25:25
but approximately how many people
728
1525750
1670
25:27
were affected? What’s the estimated
729
1527420
2404
25:29
population of Mumbai?
730
1529824
1413
25:31
That’s my quiz question for you today, Rob.
731
1531237
2367
25:33
Is it: a) 15 million people,
732
1533604
3062
25:36
b) 20 million people, or
733
1536666
1487
25:38
c) 25 million people?
734
1538153
2330
25:40
I know Mumbai is an international
735
1540483
2957
25:43
mega-city, so I’ll say
736
1543440
2364
25:45
b) 20 million people.
737
1545804
2516
25:48
OK, Rob, we’ll find out later if
738
1548320
1920
25:50
that’s right.
739
1550240
1200
25:51
Now, Beatriz Colomina is a professor
740
1551440
2640
25:54
of architecture at Princeton University
741
1554080
2400
25:56
in the United States. She’s spent years
742
1556480
2560
25:59
researching the relationship between
743
1559040
1760
26:00
cities and disease. Here she is talking
744
1560800
2800
26:03
with Kavita Puri, presenter of BBC
745
1563600
2640
26:06
World Service programme, The Inquiry:
746
1566240
2440
26:09
Take tuberculosis. Unlike
747
1569010
2590
26:11
cholera, which
748
1571600
800
26:12
was eliminated in London by
749
1572400
1840
26:14
re-designing the sewage system
750
1574240
1760
26:16
in the 1850s, TB was airborne.
751
1576000
3920
26:19
It became a real problem with
752
1579920
2400
26:22
the rise of the industrial cities, the
753
1582320
2640
26:24
metropolis, before an antibiotic
754
1584960
2960
26:27
was effective.
755
1587920
1520
26:29
One in seven people on the
756
1589440
1520
26:30
planet had TB, but in dense cities
757
1590960
2800
26:33
like Paris, it was one in three. Closely
758
1593760
4000
26:37
packed tenements meant the disease
759
1597760
2240
26:40
spread like wildfire and architects
760
1600000
3120
26:43
and planning experts responded.
761
1603120
2480
26:45
Some diseases, like cholera, could
762
1605600
2080
26:47
be prevented by redesigning cities
763
1607680
2400
26:50
to improve hygiene, like the waste
764
1610080
2240
26:52
water sewers in 19th century London.
765
1612320
2880
26:55
But the problem with tuberculosis, or
766
1615200
2320
26:57
TB for short, was that the disease is
767
1617520
2960
27:00
airborne – carried and spread in
768
1620480
2000
27:02
the air.
769
1622480
720
27:03
Adding to the problem was the fact
770
1623200
1680
27:04
that antibiotics – medicines like
771
1624880
2480
27:07
penicillin that can destroy harmful
772
1627360
2080
27:09
bacteria or stop their growth – was
773
1629440
2560
27:12
not discovered until 1928 – too late
774
1632000
3280
27:15
to save the thousands of people who
775
1635280
1840
27:17
died in Mumbai, New York, Paris and
776
1637120
2240
27:19
other cities during the 1800s.
777
1639360
2080
27:21
Diseases like TB killed more and
778
1641440
2240
27:23
more people as cities industrialised
779
1643680
2880
27:26
and grew bigger and bigger, leading
780
1646560
1840
27:28
to the creation of the
781
1648400
1360
27:29
metropolis – the largest, busiest and
782
1649760
2640
27:32
most important
783
1652400
880
27:33
city in a country or region.
784
1653280
1680
27:34
Many people crowded together in
785
1654960
1520
27:36
large metropolises meaning that
786
1656480
1920
27:38
disease could spread like wildfire – an
787
1658400
2560
27:40
idiom meaning spread quickly around
788
1660960
2000
27:42
many people.
789
1662960
1040
27:44
Even today disease is shaping
790
1664000
1840
27:45
our cities. In post-Covid Paris, new
791
1665840
3280
27:49
ideas for a ’15 minute city’ aim to
792
1669120
2720
27:51
make all public services available
793
1671840
2000
27:53
within a fifteen minute walk to help
794
1673840
2160
27:56
people working from home.
795
1676000
1680
27:57
Other countries want to build
796
1677680
1440
27:59
better, more affordable housing
797
1679120
1680
28:00
outside the city centre.
798
1680800
1680
28:02
But according to Mumbai resident
799
1682480
1680
28:04
Dr Vaidehi Tandel, this won’t
800
1684160
2240
28:06
work – even if the housing on
801
1686400
2000
28:08
offer is better.
802
1688400
1280
28:09
But why? The reason is work.
803
1689680
3120
28:12
When you shift them out, you’re
804
1692800
1360
28:14
moving them away from their
805
1694160
1280
28:15
livelihoods and they’re not going to
806
1695440
1360
28:16
be able to sustain themselves there
807
1696800
1680
28:18
so, they will be coming back because
808
1698480
2400
28:20
their jobs are in the city and they
809
1700880
1680
28:22
cannot afford the commute from
810
1702560
2000
28:24
further off places.
811
1704560
1200
28:26
Dr Vaidehi Tandel there, talking on
812
1706400
2160
28:28
the BBC World Service programme
813
1708560
1840
28:30
The Inquiry.Trying to make cities less
814
1710400
2720
28:33
crowded is one way to minimise the
815
1713120
2160
28:35
risks from disease. But moving people
816
1715280
2480
28:37
away from the city centre means moving
817
1717760
2080
28:39
them away from their livelihood – their
818
1719840
1920
28:41
job or other way of earning money to
819
1721760
1760
28:43
pay for food, housing and clothing.
820
1723520
2880
28:46
Many people still want to live near
821
1726400
1600
28:48
their workplace in the city centre
822
1728000
2080
28:50
because they can’t afford to pay
823
1730080
1600
28:51
for the commute – the journey
824
1731680
1520
28:53
between their home and their
825
1733200
1360
28:54
place of work.
826
1734560
1440
28:56
Which is real problem when you
827
1736000
1440
28:57
live in a city of… how many people
828
1737440
2400
28:59
did you say live in Mumbai, Neil?
829
1739840
2000
29:01
Ah yes, in our quiz question I asked
830
1741840
2320
29:04
you what the estimated population
831
1744160
2000
29:06
of Mumbai is.
832
1746160
1200
29:07
I said b) 20 million people.
833
1747360
2720
29:10
And you were absolutely right!
834
1750080
1760
29:11
Around 20 million people live in
835
1751840
1920
29:13
the Mumbai metropolis, making it
836
1753760
2000
29:15
very difficult to socially distance.
837
1755760
2640
29:18
In this programme, we’ve been
838
1758400
1360
29:19
discussing the relationship between
839
1759760
1600
29:21
cities and disease. In the 1800s,
840
1761360
3040
29:24
tuberculous, or TB, killed thousands
841
1764400
3360
29:27
because it was an airborne
842
1767760
1680
29:29
disease – spread
843
1769440
1280
29:30
in the air, and hard to prevent.
844
1770720
2080
29:32
Antibiotics – medicinal chemicals
845
1772800
2400
29:35
like penicillin which can destroy
846
1775200
1920
29:37
harmful germs, couldn’t help
847
1777120
2160
29:39
because they weren’t discovered
848
1779280
1360
29:40
until decades later.
849
1780640
1760
29:42
So in metropolises – the largest and
850
1782400
2640
29:45
most important cities, where people
851
1785040
1760
29:46
live crowded close together, diseases
852
1786800
2960
29:49
spread like wildfire – an idiom
853
1789760
2400
29:52
meaning spread widely and quickly.
854
1792160
2400
29:54
In Mumbai and other places, the
855
1794560
1840
29:56
problem remains that many
856
1796400
1440
29:57
people need the city for their
857
1797840
1440
29:59
livelihood – job or other way of
858
1799280
2240
30:01
earning money.
859
1801520
960
30:02
So, they prefer to live in the city
860
1802480
1600
30:04
centre instead of paying for the
861
1804080
1600
30:05
daily commute – a journey, often
862
1805680
2160
30:07
by train, bus or car, from your home
863
1807840
2240
30:10
to your workplace.
864
1810080
1600
30:11
That’s all we have time for in
865
1811680
1600
30:13
this programme, but remember you
866
1813280
1440
30:14
can find more useful vocabulary,
867
1814720
2000
30:16
trending topics and help with your
868
1816720
1760
30:18
language learning here at
869
1818480
1440
30:19
BBC Learning English.
870
1819920
1520
30:21
Bye for now!
871
1821440
1050
30:22
Bye bye!
872
1822490
793
About this website

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