Google's driverless car | Sebastian Thrun

668,923 views ใƒป 2011-03-31

TED


์•„๋ž˜ ์˜๋ฌธ์ž๋ง‰์„ ๋”๋ธ”ํด๋ฆญํ•˜์‹œ๋ฉด ์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค.

๋ฒˆ์—ญ: Poram Lee ๊ฒ€ํ† : Juyung Seo
00:15
As a boy,
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์–ด๋ ธ์„ ๋•Œ ์ €๋Š”
00:17
I loved cars.
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์ฐจ๋ฅผ ์ข‹์•„ํ–ˆ์Šต๋‹ˆ๋‹ค.
00:19
When I turned 18,
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18์‚ด์ด ๋˜๋˜ ํ•ด์—
00:21
I lost my best friend to a car accident.
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๊ตํ†ต์‚ฌ๊ณ ๋กœ ๊ฐ€์žฅ ์นœํ•œ ์นœ๊ตฌ๋ฅผ ์žƒ์—ˆ์Šต๋‹ˆ๋‹ค.
00:25
Like this.
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์ด๋ ‡๊ฒŒ, ์ˆœ์‹๊ฐ„์—์š”.
00:27
And then I decided I'd dedicate my life
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๊ทธ๋ž˜์„œ ์ €๋Š” ์ œ ์ธ์ƒ์„
00:30
to saving one million people
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๋งค๋…„ ์ˆ˜๋ฐฑ๋งŒ์˜ ์‚ฌ๋žŒ์˜ ๋ชฉ์ˆจ์„ ๊ตฌํ•˜๋Š”๋ฐ
00:32
every year.
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์ด๋ฐ”์ง€ํ•˜๊ธฐ๋กœ ํ–ˆ์Šต๋‹ˆ๋‹ค.
00:34
Now I haven't succeeded, so this is just a progress report,
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์•„์ง ์„ฑ๊ณตํ•˜์ง€๋Š” ๋ชปํ–ˆ๊ณ , ์ด๊ฑด ๋‹จ์ง€ ์ค‘๊ฐ„๋ณด๊ณ ์— ๋ถˆ๊ณผํ•˜์ง€๋งŒ
00:37
but I'm here to tell you a little bit about self-driving cars.
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์Šค์Šค๋กœ ์šด์ „ํ•˜๋Š” ์ž๋™์ฐจ์— ๋Œ€ํ•ด ์งง๊ฒŒ ๋ง์”€๋“œ๋ฆฌ๋ ค๊ณ  ํ•ฉ๋‹ˆ๋‹ค.
00:40
I saw the concept first
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์ด ๊ฐœ๋…์„ ์ฒ˜์Œ ์•Œ๊ฒŒ ๋œ ๊ฑด
00:42
in the DARPA Grand Challenges
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DARPA Grand Challenges์—์„œ์˜€์Šต๋‹ˆ๋‹ค.
00:44
where the U.S. government issued a prize
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๋ฏธ๊ตญ ์ •๋ถ€๊ฐ€
00:46
to build a self-driving car that could navigate a desert.
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์‚ฌ๋ง‰์„ ์Šค์Šค๋กœ ์ฃผํ–‰ํ•˜๋Š” ์ž๋™์ฐจ์— ์ƒ๊ธˆ์„ ๊ฑธ์—ˆ์Šต๋‹ˆ๋‹ค.
00:49
And even though a hundred teams were there,
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๋ฐฑ์—ฌ ๊ฐœ์˜ ํŒ€์ด ์ฐธ๊ฐ€ํ–ˆ์—ˆ์ง€๋งŒ
00:52
these cars went nowhere.
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์ œ๋Œ€๋กœ ํ•˜๋Š” ํŒ€์€ ์—†์—ˆ์Šต๋‹ˆ๋‹ค.
00:55
So we decided at Stanford to build a different self-driving car.
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๊ทธ๋ž˜์„œ ์Šคํƒ ํผ๋“œ์—์„œ ์šฐ๋ฆฐ ๋‹ค๋ฅธ ๋ฌด์ธ ์ฃผํ–‰ ์ฐจ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ธฐ๋กœ ํ•ฉ๋‹ˆ๋‹ค.
00:58
We built the hardware and the software.
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์šฐ๋ฆฐ ํ•˜๋“œ์›จ์–ด์™€ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.
01:01
We made it learn from us,
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์šฐ๋ฆฌ๋กœ๋ถ€ํ„ฐ ์Šต๋“ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋งŒ๋“ค๊ณ 
01:03
and we set it free in the desert.
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์‚ฌ๋ง‰์— ๋‚ด๋ณด๋ƒˆ์Šต๋‹ˆ๋‹ค.
01:06
And the unimaginable happened:
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๊ทธ๋ฆฌ๊ณ  ์ƒ์ƒํ•  ์ˆ˜ ์—†๋Š” ์ผ์ด ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
01:08
it became the first car
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๊ทธ๊ฒƒ์€ ๋ฐ”๋กœ ๊ทธ ๋Œ€ํšŒ ์‚ฌ์ƒ ์ฒ˜์Œ์œผ๋กœ
01:10
to ever return from a DARPA Grand Challenge,
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์ €ํฌ ์ฐจ๊ฐ€ ์™„์ฃผ๋ฅผ ํ•ด์„œ ๋Œ์•„์˜จ ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค.
01:12
winning Stanford 2 million dollars.
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์ƒ๊ธˆ์œผ๋กœ ์ด๋ฐฑ๋งŒ ๋‹ฌ๋Ÿฌ๋ฅผ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค.
01:17
Yet I still hadn't saved a single life.
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ํ•˜์ง€๋งŒ ์•„์ง ๋‹จ ํ•œ ์‚ฌ๋žŒ์˜ ๋ชฉ์ˆจ๋„ ๊ตฌํ•˜์ง€๋Š” ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.
01:20
Since, our work has focused
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๊ทธ๋•Œ๋ถ€ํ„ฐ ์šฐ๋ฆฌ์˜ ์ž‘์—…์€
01:23
on building driving cars
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์–ด๋””์„œ๋“  ์Šค์Šค๋กœ ์ฃผํ–‰ํ•  ์ˆ˜ ์žˆ๋Š”
01:25
that can drive anywhere by themselves --
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์ž๋™์ฐจ๋ฅผ ๋งŒ๋“œ๋Š” ๋ฐ ์ง‘์ค‘๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
01:28
any street in California.
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์บ˜๋ฆฌํฌ๋‹ˆ์•„์˜ ์–ด๋Š ๊ฑฐ๋ฆฌ์—์„œ๋„ ๋ง์ด์ฃ .
01:30
We've driven 140,000 miles.
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์šฐ๋ฆฌ๋Š” 140,000๋งˆ์ผ์„ ์ฃผํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. [์•ฝ 225,300km: ๋ฒˆ์—ญ์ฃผ]
01:33
Our cars have sensors
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์šฐ๋ฆฌ ์ฐจ์—๋Š” ๋งˆ๋ฒ•์ฒ˜๋Ÿผ
01:36
by which they magically can see
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์•ž์„ ๋ณผ ์ˆ˜ ์žˆ๋Š” ์„ผ์„œ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค.
01:39
everything around them
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์ฃผ๋ณ€์„ ๋‘˜๋Ÿฌ๋ณด๊ณ 
01:41
and make decisions
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์šด์ „๊ณผ ๊ด€๋ จ๋œ ๋ชจ๋“  ์ธก๋ฉด์— ๋Œ€ํ•ด์„œ
01:43
about every aspect of driving.
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๊ฒฐ์ •์„ ๋‚ด๋ฆฝ๋‹ˆ๋‹ค.
01:46
It's the perfect driving mechanism.
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์™„๋ฒฝํ•œ ์šด์ „ ๋ฉ”์ปค๋‹ˆ์ฆ˜์ด์ฃ .
01:49
We've driven in cities,
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์ด๊ณณ ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์™€ ๊ฐ™์€
01:51
like in San Francisco here.
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๋„์‹œ์—์„œ๋„ ์ฃผํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.
01:53
We've driven from San Francisco to Los Angeles on Highway 1.
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์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์—์„œ ๋กœ์Šค์•ค์ ค๋ ˆ์Šค๊นŒ์ง€ ์ด์–ด์ง€๋Š” 1๋ฒˆ ๊ณ ์†๋„๋กœ๋„ ๋‹ฌ๋ ธ๊ณ 
01:57
We've encountered joggers,
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์กฐ๊น…ํ•˜๋Š” ์‚ฌ๋žŒ๊ณผ๋„ ๋งˆ์ฃผ์ณค๊ณ 
01:59
busy highways, toll booths,
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ํ˜ผ์žกํ•œ ๊ณ ์†๋„๋กœ์™€ ํ†จ๊ฒŒ์ดํŠธ๋„ ์ฃผํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.
02:02
and this is without a person in the loop;
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์šด์ „์ž ์—†์ด ๋ง์ด์ฃ .
02:04
the car just drives itself.
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์ž๋™์ฐจ๊ฐ€ ์Šค์Šค๋กœ ์šด์ „ํ•ฉ๋‹ˆ๋‹ค.
02:06
In fact, while we drove 140,000 miles,
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์‚ฌ์‹ค, ์šฐ๋ฆฌ๊ฐ€ 14๋งŒ ๋งˆ์ผ์„ ์šด์ „ํ•˜๋Š” ๋™์•ˆ
02:09
people didn't even notice.
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์‚ฌ๋žŒ๋“ค์€ ์ด๋ฅผ ์•Œ์•„์ฑ„์ง€์กฐ์ฐจ ๋ชปํ–ˆ์Šต๋‹ˆ๋‹ค.
02:12
Mountain roads,
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์‚ฐ์•… ๋„๋กœ,
02:14
day and night,
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๋ฐค๋‚ฎ,
02:17
and even crooked Lombard Street
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์‹ฌ์ง€์–ด ์ƒŒํ”„๋ž€์‹œ์Šค์ฝ”์˜ ๊ผฌ๋ถˆ๊ผฌ๋ถˆํ•œ ๊ฝƒ๊ธธ
02:20
in San Francisco.
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๋กฌ๋ฐ”๋“œ ๊ฑฐ๋ฆฌ๋„ ์ฃผํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.
02:22
(Laughter)
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(์›ƒ์Œ)
02:25
Sometimes our cars get so crazy,
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๋•Œ๋กœ๋Š” ์ฐจ๊ฐ€ ์ •๋ง ๋ฏธ์นœ ๋“ฏ์ด
02:28
they even do little stunts.
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๋ฌ˜๊ธฐ๋ฅผ ๋ถ€๋ฆฌ๊ธฐ๋„ ํ•ฉ๋‹ˆ๋‹ค.
02:32
(Video) Man: Oh, my God.
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(๋น„๋””์˜ค) ๋‚จ์ž: ์˜ค, ๋ง๋„ ์•ˆ ๋ผ.
02:36
What?
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๋ญ? ๋ง™์†Œ์‚ฌ.
02:38
Second Man: It's driving itself.
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๋‘ ๋ฒˆ์งธ ๋‚จ์ž: ์Šค์Šค๋กœ ์šด์ „ํ•˜์ž–์•„!
02:42
Sebastian Thrun: Now I can't get my friend Harold back to life,
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์ง€๊ธˆ ์ œ ์นœ๊ตฌ ํ•ด๋Ÿด๋“œ๋ฅผ ๋‹ค์‹œ ์‚ด๋ ค๋‚ผ ์ˆ˜๋Š” ์—†์Šต๋‹ˆ๋‹ค.
02:45
but I can do something for all the people who died.
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ํ•˜์ง€๋งŒ ์ฃฝ์€ ๋ชจ๋“  ์ด๋“ค์„ ์œ„ํ•ด ๋ญ”๊ฐ€ ํ•  ์ˆ˜๋Š” ์žˆ์ฃ .
02:47
Do you know that driving accidents
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์ Š์€ ์ธต์˜ ์‚ฌ๋ง ์›์ธ ์ผ ์ˆœ์œ„๊ฐ€
02:50
are the number one cause of death for young people?
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๊ตํ†ต์‚ฌ๊ณ ๋ผ๋Š” ๊ฒƒ์„ ์•„์‹ญ๋‹ˆ๊นŒ?
02:53
And do you realize that almost all of those
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๊ทธ๋ฆฌ๊ณ  ๋Œ€๋ถ€๋ถ„ ์›์ธ์ด
02:56
are due to human error
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์ธ๊ฐ„์˜ ์‹ค์ˆ˜๋ผ๋Š”๊ฑธ ์•„์‹ญ๋‹ˆ๊นŒ?
02:59
and not machine error,
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๊ธฐ๊ณ„์˜ ์‹ค์ˆ˜๊ฐ€ ์•„๋‹ˆ๋ผ์š”.
03:01
and can therefore be prevented by machines?
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๊ทธ๋ฆฌ๊ณ  ๊ทธ๋ ‡๊ธฐ์— ๊ธฐ๊ณ„๋กœ ์˜ˆ๋ฐฉํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„์š”.
03:05
Do you realize
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์—ฌ๋Ÿฌ๋ถ„์€ ๊ณ ์†๋„๋กœ์˜
03:07
that we could change the capacity of highways
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๊ตํ†ต ์ˆ˜์šฉ๋Ÿ‰์„ ๋‘ ๋ฐฐ ํ˜น์€ ์„ธ ๋ฐฐ๊นŒ์ง€๋„
03:10
by a factor of two or three
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๋Š˜๋ฆด ์ˆ˜ ์žˆ์Œ์„ ์•Œ๊ณ  ๊ณ„์‹ญ๋‹ˆ๊นŒ?
03:13
if we didn't rely on human precision
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๋งŒ์•ฝ ์šฐ๋ฆฌ๊ฐ€ ์ธ๊ฐ„์— ์˜์กดํ•˜์ง€ ์•Š๊ณ 
03:15
on staying in the lane --
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์ฐจ์„  ์ค€์ˆ˜์™€
03:17
improve body position
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์ฐจ๊ฐ„ ๊ฑฐ๋ฆฌ ์œ ์ง€๋ฅผ ๊ฐœ์„ ํ•˜๋ฉด
03:19
and therefore drive a little bit closer together
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๋” ์ข์€ ๊ธธ์—์„œ ๋” ๊ฐ€๊นŒ์ด
03:21
on a little bit narrower lanes,
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์ฃผํ–‰ํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์ด์ฃ .
03:23
and do away with all traffic jams on highways?
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๊ทธ๋ฆฌ๊ณ  ๊ณ ์†๋„๋กœ์˜ ๊ตํ†ต ์ฒด์ฆ๋„ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:28
Do you realize that you, TED users,
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ํ…Œ๋“œ๋ฅผ ๋“ฃ๊ณ  ๊ณ„์‹  ์—ฌ๋Ÿฌ๋ถ„์ด
03:31
spend an average
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ํ•˜๋ฃจ ํ‰๊ท 
03:33
of 52 minutes per day
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52๋ถ„์„ ๊ตํ†ต ์ฒด์ฆ ๋•Œ๋ฌธ์—
03:35
in traffic,
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๋งค์ผ ์ถœํ‡ด๊ทผ ๊ธธ์—์„œ
03:37
wasting your time
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๋‚ญ๋น„ํ•˜๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„
03:39
on your daily commute?
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์•Œ๊ณ  ๊ณ„์‹ญ๋‹ˆ๊นŒ?
03:42
You could regain this time.
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์ด ์‹œ๊ฐ„์„ ๋˜์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
03:44
This is four billion hours
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์ด ๋‚˜๋ผ์—์„œ๋งŒ ๋‚ญ๋น„๋˜๋Š” ์‹œ๊ฐ„์ด
03:46
wasted in this country alone.
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40์–ต ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค.
03:49
And it's 2.4 billion gallons of gasoline wasted.
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๊ทธ๋ฆฌ๊ณ  ํœ˜๋ฐœ์œ  2์–ต 4์ฒœ๋งŒ ๊ฐค๋Ÿฐ์ด ๋‚ญ๋น„๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. [์•ฝ 9์–ต ๋ฆฌํ„ฐ: ๋ฒˆ์—ญ์ฃผ]
03:53
Now I think there's a vision here, a new technology,
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์ž ์ƒˆ๋กœ์šด ๊ธฐ์ˆ  ๋•๋ถ„์— ๋น„์ „์ด ์ƒ๊ฒผ์Šต๋‹ˆ๋‹ค.
03:56
and I'm really looking forward to a time
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์ €๋Š” ์šฐ๋ฆฌ ๋‹ค์Œ ์„ธ๋Œ€๋“ค์ด
03:58
when generations after us look back at us
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์šฐ๋ฆฌ๋ฅผ ๋Œ์•„๋ณด๋ฉฐ ์‚ฌ๋žŒ์ด ์ฐจ๋ฅผ ์šด์ „ํ–ˆ์—ˆ๋‹ค๋‹ˆ
04:00
and say how ridiculous it was that humans were driving cars.
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์ฐธ ํ„ฐ๋ฌด๋‹ˆ ์—†๋‹ค๋ผ๊ณ  ๋งํ•˜๊ธฐ๋ฅผ ์ •๋ง๋กœ ๊ธฐ๋Œ€ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.
04:03
Thank you.
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๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.
04:05
(Applause)
87
245260
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(๋ฐ•์ˆ˜)
์ด ์›น์‚ฌ์ดํŠธ ์ •๋ณด

์ด ์‚ฌ์ดํŠธ๋Š” ์˜์–ด ํ•™์Šต์— ์œ ์šฉํ•œ YouTube ๋™์˜์ƒ์„ ์†Œ๊ฐœํ•ฉ๋‹ˆ๋‹ค. ์ „ ์„ธ๊ณ„ ์ตœ๊ณ ์˜ ์„ ์ƒ๋‹˜๋“ค์ด ๊ฐ€๋ฅด์น˜๋Š” ์˜์–ด ์ˆ˜์—…์„ ๋ณด๊ฒŒ ๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋™์˜์ƒ ํŽ˜์ด์ง€์— ํ‘œ์‹œ๋˜๋Š” ์˜์–ด ์ž๋ง‰์„ ๋”๋ธ” ํด๋ฆญํ•˜๋ฉด ๊ทธ๊ณณ์—์„œ ๋™์˜์ƒ์ด ์žฌ์ƒ๋ฉ๋‹ˆ๋‹ค. ๋น„๋””์˜ค ์žฌ์ƒ์— ๋งž์ถฐ ์ž๋ง‰์ด ์Šคํฌ๋กค๋ฉ๋‹ˆ๋‹ค. ์˜๊ฒฌ์ด๋‚˜ ์š”์ฒญ์ด ์žˆ๋Š” ๊ฒฝ์šฐ ์ด ๋ฌธ์˜ ์–‘์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

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