Shadowing Practice: How does AI work? - Learn English Speaking with Video

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100 cümleler
Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.
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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.

Uygulamayı İndir

Akıcı konuşmak için ihtiyacınız olan her şey

AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin

Bu dersin kelimeleri ve konuşma notları

Bu B1 seviyesindeki konuşma dersi “How does AI work?” videosuna dayanıyor. En çok tekrarlanan kelimeler: step, learn, picture, baby, task. Bu videoda gölgeleme çalışması için 100 cümle ve 1082 kelime var. Konuşma bölümü 7:45 sürüyor. Konuşmacı dakikada yaklaşık 140 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %84’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
unicorn isim/ˈju.nɪ.kɔɹn/tek boynuzlu at, tekboynuz
artificial sıfat/ˌɑː.tɪˈfɪʃ.əl/yapay, suni
messy sıfat/ˈmɛsi/darmadağınık, karmakarışık
hummingbird isim/ˈhʌmɪŋˌbɜɹd/sinek kuşu
jumble isim/ˈd͡ʒʌmbəl/karışıklık, kargaşa
pea isim/piː/bezelye
furry isim/ˈfɜɹ.i/furry
similarity isim/ˌsɪm.ɪˈlæɹ.ɪ.ti/benzerlik
steer fiil/stɪɹ/yönetmek
slice isim/slaɪs/dilim
pause isim/pɔːz/mola, teneffüs
nest isim/nɛst/yuva
predict fiil/pɹɪˈdɪkt/öngörmek, tahmin etmek
soup isim/sup/çorba
photograph isim/ˈfoʊ.təˌɡɹæf/fotoğraf, kılık

Duyacağınız deyimsel fiiller

KelimeTelaffuzAnlam
figure out fiilaçığa çıkarmak
look up fiil/ˌlʊk ˈʌp/yukarı bakmak

Bu videodaki dil bilgisi

Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:

YapıVideoda
Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemliis controlled · is given · is programmed
Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylemYou've probably heard · you've heard
“might / may” ile olasılık might/may + fiil — mümkün ama kesin olmayan bir şeymight wonder · might sound · may have
Present continuous am/is/are + -ing — şu anda ya da bu sıralar olan bir şeyis changing · is learning · They're making

Dikkat edilecek telaffuzlar

Konuşmacı doesn't, you're, you've gibi kısaltılmış biçimleri 21 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “sh” ve “zh” sesleri: instruction /ɪnˈstɹʌkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
  • Uzun kelimeler — vurguyu doğru yere koyun: artificial /ˌɑː.tɪˈfɪʃ.əl/, similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/

Türkçe konuşanların zorlandığı sesler:

  • Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: steer /stɪɹ/, slice /slaɪs/, predict /pɹɪˈdɪkt/
  • /æ/ — “e”den daha açık: similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, photograph /ˈfoʊ.təˌɡɹæf/, gather /ˈɡæðɚ/

Bu videoyla nasıl çalışılır

  1. Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
  2. Normal hızda cümle cümle tekrar edin; ritminiz konuşmacıyla aynı olana kadar her cümleyi yineleyin.
  3. Kendinizi kaydedin ve orijinaliyle karşılaştırın; unicorn, artificial, messy gibi kelimelere özellikle dikkat edin.

Gölgeleme Tekniği Nedir?

Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.

Shadowing tekniği: adım adım eksiksiz rehberi okuyun →