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

201,653 views

2023-06-11 ・ BBC Learning English


New videos

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

201,653 views ・ 2023-06-11

BBC Learning English


Please double-click on the English subtitles below to play the video.

00:06
Hello. I'm Rob and this is 6 Minute
0
6080
2240
00:08
English– the show that brings you an
1
8320
1680
00:10
interesting topic, authentic listening
2
10000
2240
00:12
practice and some vocabulary to help
3
12240
2560
00:14
you improve your language skills.
4
14800
1680
00:16
And hello, I'm Neil. Our topic today
5
16480
2400
00:18
is transport. How do you think you'll
6
18880
2400
00:21
be travelling to work in, say, 30
7
21280
2240
00:23
years' time, Rob?
8
23520
1120
00:24
Well, not only will homeworking
9
24640
1920
00:26
be more prevalent – that means
10
26560
1600
00:28
‘common’ – but I hope I won't be
11
28160
1520
00:29
working in 30 years' time!
12
29680
1440
00:31
Good answer! But if we look back
13
31840
2000
00:33
and see how transport has changed
14
33840
1920
00:35
in the last 30 years, it makes you
15
35760
1760
00:37
wonder what the future holds.
16
37520
1840
00:39
Yes, we've seen how air travel has
17
39360
2160
00:41
become commonplace for
18
41520
1120
00:42
many people.
19
42640
960
00:43
Commonplace means ‘not unusual’.
20
43600
1840
00:46
And there's been the development of
21
46000
1360
00:47
high-speed train travel. But the main
22
47360
2080
00:49
priority has been speed – going
23
49440
2080
00:51
faster to make your journeys quicker.
24
51520
2240
00:53
That's true, and we'll be discussing
25
53760
1600
00:55
some ideas for making transport
26
55360
1680
00:57
even faster soon.
27
57040
1760
00:58
But let's not waste any time and
28
58800
1920
01:00
speed on to today's quiz question.
29
60720
2240
01:02
Ah yes, time waits for no one, not
30
62960
2000
01:04
even you, Neil.
31
64960
1200
01:06
So, can you answer this question?
32
66160
2000
01:08
According to Guinness World Records,
33
68160
1920
01:10
in which country has the fastest
34
70080
2160
01:12
ever train been recorded?
35
72240
2000
01:14
Is it in… a) China, b) Japan, or,
36
74240
3520
01:17
c) France?
37
77760
960
01:19
All these countries have fast
38
79760
1920
01:21
trains but I've heard that Chinese
39
81680
1520
01:23
trains go particularly fast. So, I'm going
40
83200
2240
01:25
to say a) China.
41
85440
1680
01:27
Well, you'll have to wait until the
42
87120
1680
01:28
end of the programme to see if
43
88800
1520
01:30
you're right.
44
90320
1040
01:31
But let's talk more now about the
45
91360
1920
01:33
future of transport.
46
93280
1600
01:34
One development we hear much
47
94880
1520
01:36
about is automation.
48
96400
1760
01:38
Automation means ‘using
49
98160
1360
01:39
machines to do work that humans
50
99520
2000
01:41
normally do’ and in terms of
51
101520
1760
01:43
transport this means driverless
52
103280
2080
01:45
vehicles.
53
105360
720
01:46
It won't be too long before we
54
106080
1520
01:47
become the passenger in a
55
107600
1200
01:48
driverless car.
56
108800
880
01:50
Scary! And the French train
57
110240
2160
01:52
engineering company, Alstom, is
58
112400
2000
01:54
planning to test automated freight
59
114400
1760
01:56
trains later this year.
60
116160
1360
01:57
The automated train prototype can
61
117520
2240
01:59
travel for about 100 kilometres
62
119760
2000
02:01
without driver intervention.
63
121760
1840
02:03
A prototype is the first version of
64
123600
2320
02:05
something which can be tested
65
125920
1840
02:07
before it is produced in large
66
127760
1520
02:09
quantities.
67
129280
720
02:10
Of course, some trains are already
68
130000
1840
02:11
driven by computers but there's
69
131840
1920
02:13
an exciting plan to develop a form
70
133760
2320
02:16
of driverless vehicle that could
71
136080
1840
02:17
move you around at 1,123
72
137920
4240
02:22
kilometres per hour.
73
142160
1440
02:23
Come on, Neil. That sounds a bit
74
143600
1440
02:25
far-fetched – like flying cars that
75
145040
2240
02:27
we see in sci-fi movies – it's
76
147280
1840
02:29
difficult to believe because
77
149120
1520
02:30
it's unlikely to happen.
78
150640
1440
02:32
Well, you say that but it's already
79
152080
1920
02:34
being tested in Nevada in the
80
154000
1440
02:35
USA and has a name – Hyperloop One.
81
155440
2880
02:38
Tell me more!
82
158880
880
02:39
The idea is, you get loaded into
83
159760
2080
02:41
a pod then you're pushed through
84
161840
1840
02:43
a metal tube at high speed, taking
85
163680
1920
02:45
you to your destination in minutes
86
165600
1920
02:47
rather than hours.
87
167520
1360
02:48
Anita Sengupta is the lead systems
88
168880
2400
02:51
engineer and says there's nothing
89
171280
1760
02:53
scary about it…
90
173040
960
02:54
The Hyperloop is a maglev train
91
174560
2240
02:56
in a vacuum system – or in a vacuum
92
176800
2560
02:59
tube – and so you can also think of
93
179360
1680
03:01
it as an aircraft flying at 200,000 feet
94
181040
2320
03:03
so people don't have any issue flying
95
183360
1280
03:04
in aeroplanes and people don't have
96
184640
1360
03:06
any issue going in maglev trains.
97
186000
1360
03:07
This is simply combining the two
98
187360
1360
03:08
and allows you to be more
99
188720
880
03:09
energy efficient.
100
189600
720
03:11
So, Anita Sengupta explained the
101
191280
2720
03:14
type of technology the Hyperloop used.
102
194000
2720
03:17
First she mentioned maglev – that's
103
197280
2240
03:19
a short way of saying magnetic levitation.
104
199520
3040
03:22
It's when trains travel on magnetic
105
202560
2000
03:24
track rather than conventional rails.
106
204560
2560
03:27
And then she mentioned a vacuum
107
207120
1920
03:29
system - a vacuum is a space that
108
209040
2240
03:31
has had all the air and any other
109
211280
1200
03:32
gases removed from it.
110
212480
1520
03:34
So the tube these pods travel in have
111
214000
2240
03:36
no air in so there's no resistance.
112
216240
1760
03:38
And these technologies are more
113
218560
1520
03:40
efficient and they save energy.
114
220080
1840
03:41
Which is a good thing.
115
221920
1120
03:43
This sounds like a great way to
116
223760
1360
03:45
travel but will it take off?
117
225120
2080
03:47
Well, BBC technology correspondent
118
227200
2000
03:49
Rory Cellan-Jones isn't so sure.
119
229200
2480
03:51
He thinks it will be quite challenging
120
231680
2080
03:53
to convince governments to allow
121
233760
1680
03:55
long metal tubes to be built on or
122
235440
2160
03:57
below ground.
123
237600
880
03:58
But we have to try these new
124
238480
1600
04:00
technologies, Rob.
125
240080
1120
04:01
If we didn't, we'd still be travelling
126
241200
2000
04:03
around on horse and cart!
127
243200
1440
04:05
A good point, Neil – and we wouldn't
128
245200
2000
04:07
have been able to travel at the great
129
247200
1920
04:09
speeds mentioned in today's question.
130
249120
2560
04:11
Now, earlier I asked you, according to
131
251680
1920
04:13
Guinness World Records, in which
132
253600
1680
04:15
country has the fastest ever train
133
255280
2400
04:17
travelled?
134
257680
880
04:18
Is it in…a) China, b) Japan, or
135
258560
3440
04:22
c) France?
136
262000
1280
04:23
And I said a) China.
137
263280
1920
04:26
And you were wrong, Neil.
138
266320
1680
04:28
China does have some very
139
268000
1600
04:29
fast trains.
140
269600
1200
04:30
But the fastest recorded train was a
141
270800
2080
04:32
maglev from the Central Japan
142
272880
2160
04:35
Railway Company, which ran on a
143
275040
2000
04:37
test track at a speed of 603
144
277040
2320
04:39
kilometres per hour.
145
279360
1120
04:40
Now that would make my
146
280480
1200
04:41
commute to work very quick!
147
281680
1280
04:43
OK, shall we recap some of the
148
283520
2000
04:45
vocabulary we've heard today?
149
285520
1600
04:47
Starting with commonplace.
150
287120
2000
04:49
Yes. Which means ‘not unusual or often seen’.
151
289120
3840
04:52
For example, 'free Wi-Fi in coffee shops
152
292960
2400
04:55
is commonplace these days.'
153
295360
1520
04:56
And very useful it is too!
154
296880
1360
04:58
Next we had automation, meaning
155
298800
2480
05:01
‘using a machine to do something
156
301280
1360
05:02
instead of a human.’
157
302640
1360
05:04
'Automation in the car making
158
304000
1680
05:05
industry has led to the loss of
159
305680
1600
05:07
hundreds of jobs.'
160
307280
1520
05:08
Of course, when you build a new car
161
308800
1840
05:10
you need to make a prototype – that's
162
310640
2320
05:12
the first version of something which
163
312960
1920
05:14
can be tested before it is produced in
164
314880
2000
05:16
large quantities.
165
316880
1280
05:18
'The prototype of a new solar-powered
166
318160
2080
05:20
bike has been so successful that it's
167
320240
2160
05:22
now going into mass-production.'
168
322400
1440
05:24
Come on, Rob, that sounds a bit
169
324560
1440
05:26
far-fetched – and by that I mean ‘so
170
326000
2400
05:28
unbelievable it's unlikely to happen.’
171
328400
2480
05:30
Well, something people once thought
172
330880
2160
05:33
far-fetched is now a reality and that's
173
333040
2960
05:36
maglev – that's short for magnetic
174
336000
2320
05:38
levitation and is how some of the
175
338320
2240
05:40
world's fastest trains travel.
176
340560
1760
05:42
Finally, we discussed the word vacuum.
177
342960
2560
05:45
It's a space that has had all the air and
178
345520
2400
05:47
other gases removed from
179
347920
1280
05:49
it – basically an empty space.
180
349200
2080
05:51
'The plan for Virgin's Hyperloop One
181
351280
2160
05:53
is to make a maglev even faster by
182
353440
2480
05:55
putting it in a vacuum tube.'
183
355920
2240
05:58
And that brings us to the end of
184
358160
1200
05:59
today’s 6 Minute English.
185
359360
1600
06:00
Don’t forget to check out our You Tube,
186
360960
2240
06:03
Facebook, Twitter and Instagram pages,
187
363200
2240
06:05
and we’ll see you next time. Goodbye.
188
365440
1680
06:07
Bye
189
367120
500
06:13
Hello. This is 6 Minute English from
190
373520
1840
06:15
BBC Learning English. I’m Neil.
191
375360
2080
06:17
And I’m Rob.
192
377440
880
06:18
From the ancient Roman sea god, Neptune,
193
378320
2720
06:21
to myths of mermaids, to modern Hollywood
194
381040
2640
06:23
films like Finding Nemo, people throughout
195
383680
2640
06:26
history have been fascinated by the idea of
196
386320
2720
06:29
living underwater.
197
389040
1280
06:30
In this programme, we’ll be hearing about
198
390880
1680
06:32
projects to create liveable underwater
199
392560
2480
06:35
habitats and the challenges they face.
200
395040
2800
06:37
We’ll be finding out how realistic it is to
201
397840
2240
06:40
believe that in a few years we could be
202
400080
2400
06:42
eating breakfast whilst watching fish
203
402480
2720
06:45
swim outside the kitchen window, before
204
405200
2080
06:47
heading off to work in an office under
205
407280
2000
06:49
the ocean...
206
409280
880
06:50
…and we’ll be learning some related
207
410160
1600
06:51
vocabulary as well.
208
411760
1360
06:53
But first, it’s time for our quiz question.
209
413120
3040
06:56
One of the first adventure stories to fire
210
416160
2480
06:58
the public’s imagination about the
211
418640
1840
07:00
underwater world was the 1870 novel,
212
420480
3120
07:03
Twenty Thousand Leagues Under the Sea.
213
423600
2320
07:05
But who wrote this underwater classic?
214
425920
2800
07:08
Was it: a) H G Wells?, b) Arthur
215
428720
3280
07:12
Conan Doyle?, or c) Jules Verne?
216
432000
2960
07:16
I think I know this one, Neil. Wasn’t it,
217
436160
2000
07:18
a) H G Wells?
218
438160
1920
07:20
OK, Rob, we’ll find out later if you’re right.
219
440080
2880
07:22
Now, one of the most ambitious designs
220
442960
2240
07:25
for an underwater city is Ocean Spiral,
221
445200
2960
07:28
a huge transparent globe attached
222
448160
2480
07:30
to the seabed – the solid ground
223
450640
2160
07:32
which lies deep below the sea level.
224
452800
2480
07:35
The top of the globe stands above
225
455280
2080
07:37
the surface of the ocean and
226
457360
1680
07:39
running through the centre is a tower
227
459040
2240
07:41
to add strength, and to provide space
228
461280
2240
07:43
for homes, offices and even an
229
463520
2240
07:45
amusement park for five thousand
230
465760
2320
07:48
underwater residents.
231
468080
1520
07:49
Ocean Spiral has been dreamt up
232
469600
2080
07:51
by the Japanese Shimizu Corporation.
233
471680
2320
07:54
Here’s Shimizu engineer, Maksaki
234
474560
2080
07:56
Takeuchi, explaining to BBC World
235
476640
2560
07:59
Service programme, CrowdScience,
236
479200
1840
08:01
the motivation behind the idea:
237
481040
1840
08:06
At the moment the world is facing a
238
486960
3120
08:10
lot of serious problems regarding food,
239
490080
3200
08:13
energy, water, natural resources...
240
493280
3520
08:16
however, we are trying to solve the
241
496800
2480
08:19
issues just by using our land.
242
499280
3680
08:22
Our idea is to connect the sea surface
243
502960
3600
08:26
and the deep sea vertically and that way
244
506560
3680
08:30
we believe that we can utilise the
245
510240
3440
08:33
capability of the deep sea and that’s the
246
513680
3040
08:36
purpose of this whole project.
247
516720
3120
08:41
The effects of human activity on the
248
521200
2080
08:43
land have led some to look to the oceans
249
523280
2720
08:46
for natural resources - naturally existing
250
526000
2720
08:48
things such as minerals, oil, coal and
251
528720
2640
08:51
other energy sources that can be
252
531360
1760
08:53
used by people.
253
533120
1040
08:54
This search deep underwater is
254
534160
1760
08:55
happening vertically - at a ninety
255
535920
2400
08:58
degree angle straight up or down
256
538320
1920
09:00
from the ground, as opposed to
257
540240
1440
09:01
horizontally, or flat across the
258
541680
2160
09:03
Earth’s surface.
259
543840
1120
09:04
But as yet, Shimizu Corporation’s plans
260
544960
2720
09:07
for an underwater city are still in the
261
547680
2400
09:10
planning stages - no part of the project
262
550080
2560
09:12
has yet been built and the total cost
263
552640
2080
09:14
is thought to exceed 26 billion dollars.
264
554720
2865
09:17
In fact, the longest anyone has spent
265
557585
2000
09:19
living under the sea is only 73 days.
266
559600
2960
09:22
That record was set by Roger Garcia,
267
562560
2480
09:25
ex-military diver and head of The
268
565040
2080
09:27
Aquarius, currently the world’s only
269
567120
2320
09:29
underwater research station.
270
569440
2000
09:31
Here’s Roger Garcia, explaining to
271
571440
1920
09:33
BBC World Service programme,
272
573360
1600
09:34
CrowdScience, what happens to the
273
574960
2080
09:37
human body after living underwater
274
577040
2320
09:39
for so long:
275
579360
1226
09:41
Perhaps a change in their voice, not
276
581017
2823
09:43
much ‘cos we’re not very deep, that’s
277
583840
1920
09:45
because the air becomes denser.
278
585760
2003
09:47
Physiologically, the most important thing
279
587763
2477
09:50
though, is that since you are, in this case,
280
590240
4320
09:54
at two and a half times atmospheric
281
594560
2240
09:56
pressure you do take on more inner gas,
282
596800
3360
10:00
and, in this case, inside The Aquarius we
283
600160
2880
10:03
just breathe normal air - you’re gonna
284
603040
2400
10:05
take on more nitrogen and depending
285
605440
3040
10:08
on how long you stay in The Aquarius,
286
608480
2080
10:10
that’s going to incur some sort of
287
610560
1760
10:12
decompressed obligation.
288
612320
2136
10:14
In addition to engineering challenges,
289
614703
2257
10:16
living underwater for long periods of
290
616960
1920
10:18
time also affects the human body.
291
618880
2720
10:21
One example is the bends – or
292
621600
2000
10:23
decompression sickness, a serious
293
623600
2480
10:26
medical disorder created by nitrogen
294
626080
2400
10:28
bubbles in the muscles when returning
295
628480
1920
10:30
to the surface of the sea too quickly.
296
630400
2718
10:33
The bends, and changes to the voice,
297
633118
2236
10:35
are examples of how underwater living
298
635354
2326
10:37
changes the body
299
637680
1200
10:38
physiologically – relating
300
638880
1840
10:40
to how the bodies of living humans and
301
640720
2080
10:42
animals function.
302
642800
1200
10:44
As divers descend deep below the
303
644000
2000
10:46
ocean’s surface, there is an increase in
304
646000
2320
10:48
atmospheric pressure – the normal air
305
648320
2720
10:51
pressure within the Earth’s atmosphere.
306
651040
2480
10:53
The deeper they dive, the higher
307
653520
1644
10:55
the pressure.
308
655164
1236
10:56
Physiological reactions like the bends are
309
656400
2480
10:58
caused by divers incorrectly readjusting
310
658880
2560
11:01
to normal atmospheric pressure.
311
661440
2240
11:03
Well, Neil, with so many difficulties, it’s
312
663680
2560
11:06
no surprise that H G Wells's fantasy of
313
666240
3120
11:09
living under the sea is still science-fiction.
314
669360
3360
11:12
Ah, but are you sure it was H G Wells,
315
672720
2560
11:15
Rob?
316
675280
800
11:16
In my quiz question I asked you who wrote
317
676080
2320
11:18
the classic underwater adventure Twenty
318
678400
2320
11:20
Thousand Leagues Under the Sea.
319
680720
1840
11:22
Yes, and I said a) H G Wells.
320
682560
2800
11:25
Which was… the wrong answer!
321
685360
2400
11:27
It was, in fact, c) Jules Verne, the
322
687760
2560
11:30
French author who also wrote Around
323
690320
2080
11:32
the World in Eighty Days.
324
692400
1680
11:34
In this programme, we’ve been
325
694080
1280
11:35
discussing the challenge of living
326
695360
1520
11:36
underwater, going down vertically – at
327
696880
2560
11:39
a 90 degree angle – to the seabed – the
328
699440
2640
11:42
solid ground hundreds of metres under
329
702080
1920
11:44
the sea.
330
704000
640
11:44
Ocean explorers search underwater
331
704640
2080
11:46
for natural resources – useful materials
332
706720
2800
11:49
like coal and oil.
333
709520
1360
11:50
But they face many physiological
334
710880
1920
11:52
problems – problems relating to how
335
712800
2160
11:54
the human body functions, such as the
336
714960
2240
11:57
bends – a painful medical condition
337
717200
2640
11:59
caused by returning too quickly to
338
719840
1920
12:01
atmospheric pressure – the Earth’s
339
721760
2000
12:03
usual air pressure.
340
723760
1280
12:05
That’s all for this programme, but we
341
725040
1520
12:06
hope you’ll be diving back into 6 Minute
342
726560
2320
12:08
English very soon.
343
728880
1200
12:10
Bye for now!
344
730080
1027
12:11
Bye!
345
731107
683
12:17
Hello and welcome to 6 Minute
346
737520
1680
12:19
English. I'm Dan and joining me
347
739200
1600
12:20
today is Neil. Hi, Neil.
348
740800
1360
12:22
Hi Dan. What’s with the protective
349
742160
2320
12:24
gear and helmet?
350
744480
1120
12:25
I’m just getting ready for the inevitable
351
745600
2240
12:27
rise of the machines. That’s the takeover
352
747840
2480
12:30
of the world by artificial intelligence, or
353
750320
3200
12:33
AI, which some people predict will happen.
354
753520
3760
12:37
'Inevitable' means 'cannot be avoided or
355
757280
2480
12:39
stopped'. Rise of the machines? What do
356
759760
2560
12:42
you mean?
357
762320
720
12:43
It’s our topic in this 6 Minute English.
358
763040
2480
12:45
We’ll be talking about that, giving you
359
765520
1920
12:47
six related pieces of vocabulary and, of
360
767440
2560
12:50
course, our regular quiz question.
361
770000
2400
12:52
That’s the first thing you’ve said that
362
772400
1600
12:54
makes any sense. What’s the question?
363
774000
2240
12:56
The word ‘robot’ as we use it today was first
364
776240
2880
12:59
used in a 1920’s Czech play ‘Rossum’s Universal
365
779120
4480
13:03
Robots’. But before this, what was its
366
783600
3440
13:07
original meaning:
367
787040
1520
13:08
a) forced labour, b) metal man, or
368
788560
3040
13:11
c) heartless thing?
369
791600
2160
13:13
I will go for a) forced labour.
370
793760
2880
13:17
We’ll find out if you were right or not
371
797200
2080
13:19
later in the show.
372
799280
1360
13:20
OK Dan. Tell me what’s going on.
373
800640
2160
13:22
I saw a news article written by BBC
374
802800
2480
13:25
technology correspondent Rory
375
805280
1920
13:27
Cellan-Jones about the recent CES
376
807200
3120
13:30
technology show in Las Vegas.
377
810320
2480
13:32
He interviewed David Hanson, founder
378
812800
2800
13:35
of Hanson Robotics, who said it was his
379
815600
3120
13:38
ambition to achieve an AI that can beat
380
818720
3840
13:42
humans at any intellectual task.
381
822560
3200
13:45
Surely, it’s a good thing! Better AI and
382
825760
2640
13:48
robotics could take over many of the
383
828400
2080
13:50
jobs that we don’t want to do, or that
384
830480
2240
13:52
are so important to get 100% right…
385
832720
2560
13:55
like air traffic control.
386
835280
1920
13:57
We’d never have another plane crash.
387
837200
1920
13:59
It would be infallible because it
388
839120
1760
14:00
would be so clever.
389
840880
1440
14:02
'Infallible' means 'never failing'.
390
842320
2320
14:04
And that’s what bothers me.
391
844640
1600
14:06
What happens when its intelligence
392
846240
1920
14:08
surpasses ours? Why should it do
393
848160
2480
14:10
what we want it to do?
394
850640
1600
14:12
To surpass something is to do or
395
852240
1920
14:14
be better than it. Dan, you’ve been
396
854160
1840
14:16
watching too many movies.
397
856000
1440
14:17
Robots fighting humanity is a
398
857440
1760
14:19
popular theme. Guess what… humanity
399
859200
2960
14:22
often wins. And besides, we would
400
862160
2080
14:24
programme the computer to be
401
864240
1280
14:25
benevolent.
402
865520
1120
14:26
'Benevolent' means 'kind and helpful'.
403
866640
2480
14:29
But that’s just it, once the intelligence
404
869120
2560
14:31
becomes sentient, or able to think for
405
871680
2640
14:34
itself, who knows what it will do.
406
874320
2480
14:36
We humans are not exactly perfect,
407
876800
1840
14:38
you know. What happens if it decides
408
878640
2160
14:40
that it is better than us and wants us
409
880800
2160
14:42
out of the way?
410
882960
1120
14:44
Don’t worry. Asimov thought of that.
411
884080
2800
14:46
Isaac Asimov was an American
412
886880
1760
14:48
science fiction writer who, among
413
888640
2080
14:50
other things, wrote about robots.
414
890720
1920
14:52
He came up with three laws that
415
892640
2000
14:54
every robot would have to follow to
416
894640
2160
14:56
stop it from acting against humanity.
417
896800
2160
14:58
So we’re safe!
418
898960
1440
15:00
I’m not so sure. A sentient robot could
419
900400
2800
15:03
make up its own mind about how to
420
903200
2000
15:05
interpret the laws. For example, imagine
421
905200
3120
15:08
if we created an AI system to protect
422
908320
2880
15:11
all of humanity.
423
911200
1120
15:12
Well, that’s great! No more war.
424
912320
1920
15:14
No more murder. No more fighting.
425
914240
1920
15:16
Do you really think that humans
426
916160
1600
15:17
can stop fighting? What if the AI decides
427
917760
2880
15:20
that the only way to stop us from hurting
428
920640
2240
15:22
ourselves and each other is to control
429
922880
3920
15:26
everything we do, so it takes over to
430
926800
3040
15:29
protect us. Then we would lose our
431
929840
2880
15:32
freedom to a thing that we created
432
932720
2480
15:35
that is infallible and more intelligent
433
935200
2960
15:38
than we are! That’s the end, Neil!
434
938160
2720
15:40
I think that’s a little far-fetched, which
435
940880
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
950320
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
958560
1120
15:59
technology will be limited – probably
444
959680
2160
16:01
before real AI is achieved.
445
961840
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
986480
1920
16:28
It seems you aren’t alone.
457
988400
2160
16:30
Nope. But I don’t exactly have
458
990560
1840
16:32
an army of support either. I guess
459
992400
2480
16:34
we’ll just have to wait and see.
460
994880
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
1011760
1760
16:53
And you were… right!
471
1013520
2240
16:55
Shall we take a look at the
472
1015760
880
16:56
vocabulary then?
473
1016640
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
1026240
1040
17:07
It is inevitable that one day the
479
1027280
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
1084080
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
1145040
2093
19:07
In this programme, we’ll be discussing
542
1147133
2067
19:09
whether the revolution in artificial
543
1149200
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
1214880
2880
20:17
using a handheld microscope.
575
1217760
2720
20:20
But in 2017, a team of researchers
576
1220480
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
1233920
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
1259520
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
1276240
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
1289840
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
628
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

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7