쉐도잉 연습: How does AI work? - 영상으로 영어 말하기 배우기
레슨 만드는 중...
1
Hey, it's Esther.
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My friend took this video while riding in a car.
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Watch the steering wheel turn and see if you notice something strange.
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There's no one driving.
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This is what's sometimes called a self -driving car.
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Instead of a person driving, the car is controlled by a computer system with artificial intelligence.
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You've probably heard about artificial intelligence or AI.
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Like maybe you've heard that AI can chat with you online.
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You type a question and it answers.
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Or maybe you've heard that AI can make pictures, like this AI image of a made -up animal.
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Someone named Damari is curious about AI.
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Let's give Damari a call now.
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Hi, Esther.
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Hey, Damari.
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I have a question for you.
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How does AI work?
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That's a great question.
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AI is changing so fast that we can't cover everything in one video.
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I just mentioned a few things that AI can do today.
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Drive cars, chat, and make pictures.
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These things are really different.
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You might wonder how AI does them all.
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But if I told you my friend could do all these things, that wouldn't be so surprising.
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People can learn to do different things, and learning is a big part of how AI works.
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So let's start with some ways that you learn.
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Like how this baby is learning.
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They're making a mess, but watch closely.
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What do you think this baby is learning?
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Now would be a good time to pause the video and discuss.
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Okay, ready?
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Maybe you guessed that this baby is learning to feed themselves.
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For any baby, it takes a lot of tries to get food in their mouth.
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They learn from what works and from what doesn't.
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Each time a baby tries something, their brain gathers information and starts to notice similarities or patterns.
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When a baby gets older, they can use what they learned from past experiences, combined with what they're noticing now, to figure out how to eat new foods.
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Now imagine if, instead of learning like this, you came up with step -by -step instructions for feeding yourself.
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Like, step one, find food.
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Step two, pick up food.
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Step three, put food in mouth.
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But wait, how do you pick it up?
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A slice of pizza is not like tiny peas.
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And picking up soup?
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Totally different.
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Just think of other foods.
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You'd need specific instructions for each one.
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that might sound silly for a person
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but step -by -step instructions are one way
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that computers work people decide what they want a computer to do
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and come up with step -by -step instructions for the computer
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to follow you may have heard this called programming ai works differently
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people still decide what they want the computer to do
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but instead of step -by -step instructions they come up with programming that helps a computer system learn to do a task.
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How that works gets really complicated and varies a lot, but one way is a bit like this messy learning.
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Similar to how a baby gets lots of experiences with food, an AI system is given lots of information.
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So an AI system designed to make images would get information
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in the form of pictures photographs drawings all kinds of pictures we're talking thousands and thousands
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the system is programmed to find patterns in the information like these pictures of cats
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i see a pattern of having pointy ears
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and furry tails the ai system can use patterns like these to make new images of cats.
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But at first, the information is just a digital jumble, and the AI doesn't know what it's looking at.
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It's a bit like a baby making a mess with food.
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The program has to try over and over again, making messy mistakes and finding what works better.
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That's how the AI learns.
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Let's give the AI system a new task.
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Make a picture of a unicorn cat.
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It can use patterns it learns from pictures of cats
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and patterns it learns from pictures of unicorns to predict what's important to include for something that's part cat and part unicorn.
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Then it decides how to make a new image.
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Sometimes AI systems don't get things right.
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That's why AI systems are programmed to learn from what works and what doesn't in order to improve.
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Today, some AI systems are able to do complicated tasks like driving,
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and some can make images of things that seem real but aren't, like this one.
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Hummingbirds don't actually live inside tulips.
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This is an image made by AI.
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This photo was taken in the real world.
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That's a real hummingbird's nest.
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See how incredibly tiny it is?
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This photo and this AI image both seem real.
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But the AI one is not what happens in real life.
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That's why it's important to look up other kinds of information to learn more and check facts.
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So in summary, AI systems do different things, but the basic way that they work is similar.
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Instead of following step -by -step instructions, AI systems work by learning.
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You learn from experiences and use what you learn to figure out how to do new tasks
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and make decisions that's your intelligence
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and your intelligence is the inspiration for artificial intelligence both you
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and ai systems learn from what works
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and from what doesn't work in order to get better at a task ai is changing fast
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and there's much more to explore along with impressive things ai
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can do there are also big concerns like how much energy and water is used to run AI.
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There's lots of debate about when to use AI and what kinds of tasks to use AI for.
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Since you're growing up in a world with AI, you can be part of figuring out how we use it in the future.
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It's good to remember that having AI do a task for you isn't the same as trying it yourself.
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Your brain still needs to learn by doing things that's part of your intelligence
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so stay curious that's all for this week's question thanks damari
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for asking it we want to know what you're curious about it's time to cast your vote
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we picked three questions that we're thinking about answering
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when this video's done playing click on the one you're most
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excited to see answered your vote will help us plan for future mini lessons.
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There are mysteries all around us.
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Stay curious and see you next week.
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이 레슨의 어휘와 말하기 포인트
이 B1 수준 말하기 레슨은 영상 “How does AI work?”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: step, learn, picture, baby, task. 이 영상에는 섀도잉할 문장 100개와 단어 1082개가 있습니다. 말하는 구간의 길이는 7:45입니다. 화자는 분당 약 140단어의 일정한 속도로 말해서 섀도잉하기에 편한 속도입니다. 단어의 84%가 영어에서 가장 많이 쓰이는 3,000단어에 속합니다. 나머지는 연습 전에 미리 확인해 두세요.
이 영상의 핵심 어휘
영상에서 가장 어려운 단어 14개를 발음, 뜻과 함께 정리했습니다.
| 단어 | 발음 | 뜻 |
|---|---|---|
| unicorn 명사 | /ˈju.nɪ.kɔɹn/ | 유니콘, 일각수 |
| artificial 형용사 | /ˌɑː.tɪˈfɪʃ.əl/ | 인공, 인조 |
| hummingbird 명사 | /ˈhʌmɪŋˌbɜɹd/ | 벌새 |
| pea 명사 | /piː/ | 완두 |
| furry 명사 | /ˈfɜɹ.i/ | 수인 |
| similarity 명사 | /ˌsɪm.ɪˈlæɹ.ɪ.ti/ | 유사, 유사성 |
| slice 명사 | /slaɪs/ | 부분, 몫 |
| pause 명사 | /pɔːz/ | 멈춤, 휴지 |
| nest 명사 | /nɛst/ | 둥지, 새집 |
| predict 동사 | /pɹɪˈdɪkt/ | 예언하다, 예측하다 |
| combine 동사 | /kəmˈbaɪn/ | 조합하다, 결합하다 |
| soup 명사 | /sup/ | 국, 탕 |
| photograph 명사 | /ˈfoʊ.təˌɡɹæf/ | 사진 |
| explore 동사 | /ɪkˈsploɹ/ | 탐험하다 |
영상에 나오는 구동사
| 단어 | 뜻 |
|---|---|
| pick up 동사 | 줍다 |
이 영상의 문법
화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.
| 문형 | 영상 속 표현 |
|---|---|
| 수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점 | is controlled · is given · is programmed |
| 현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때 | You've probably heard · you've heard |
| “might / may” 가능성 might/may + 동사 — 가능하지만 확실하지 않은 일 | might wonder · might sound · may have |
| 현재진행 am/is/are + -ing — 지금 또는 요즘 일어나고 있는 일 | is changing · is learning · They're making |
주의할 발음
화자는 doesn't, you're, you've 같은 축약형과 약화된 형태를 21번 사용합니다. 들리는 대로 짧게 발음하세요.
- “sh”와 “zh” 소리: instruction /ɪnˈstɹʌkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- 긴 단어 — 강세 위치에 주의: artificial /ˌɑː.tɪˈfɪʃ.əl/, similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/
한국어 화자가 어려워하는 소리:
- /f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: artificial /ˌɑː.tɪˈfɪʃ.əl/, furry /ˈfɜɹ.i/, photograph /ˈfoʊ.təˌɡɹæf/, differently /ˈdɪf.ə.ɹənt.li/
- /r/과 /l/ 구별하기: similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/, explore /ɪkˈsploɹ/
이 영상으로 연습하는 방법
- 먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
- 보통 속도로 한 문장씩 섀도잉하고, 화자의 리듬과 맞을 때까지 반복합니다.
- 자신의 목소리를 녹음해 원본과 비교하고, unicorn, artificial, hummingbird 같은 단어에 특히 주의합니다.
쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법
쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.