Shadowing Practice: [Học tiếng Anh THẬT] Elon Musk - Future, AI - Learn English Speaking with Video

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148 cümleler
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1
So what is life for you?
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I mean, you look at our life,
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and I heard you before speaking.
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Is it a dream?
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Is it a dream?
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Is it a million D?
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What is life for Elon Musk?
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I find as I get older,
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I find that question to be maybe more and more confusing or troubling or uncertain.
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I think particularly when you see the advancement of something like video games.
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You know, like say 40 years ago, you had video games.
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The most advanced video game would be like Pong,
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where you had like two rectangles and a dot.
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You're like batting it back and forth.
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I played it.
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Oh yeah, me too, exactly.
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That's all.
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Exactly.
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It sort of dates you a little bit.
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But yeah, we both played the same game.
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And that was like, wow,
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that was a pretty fun game at the time.
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But now you can see a video game that's photorealistic,
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almost photorealistic, and millions of people playing simultaneously.
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And you see where things are going with virtual reality and augmented reality.
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And if you extrapolate that out into the future with any rate of progress at all,
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like even 0.1% or something like that a year,
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then eventually those games will be indistinguishable from reality.
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They'll be so realistic, you will not be able to tell the difference between
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that game and the reality as we know it.
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And then it seems like,
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well, how do we know that that didn't happen in the past,
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and that we're not in one of those games ourselves?
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Interesting.
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Interesting.
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I mean, could be.
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Everything is possible in life.
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I mean, there's...
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I mean, yeah, particularly things seem to be accelerating to something.
40
Isn't it?
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I mean, if we look at our life,
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it seems in the past 100 years,
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life has been accelerating quite fast.
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Yeah.
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In the past 20, much faster.
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It's getting faster and faster.
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Is it more slow?
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So my question is really,
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how life will be in air 20,
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30, 50 years from now, our education, our transport?
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How do you see it?
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Well, I think this is one of those things that's quite difficult to predict.
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When you think of, say,
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the first controlled powered flight was 1903 with the Wright brothers.
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And then 66 years later,
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we put the first people on the moon.
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I mean, if you'd asked people,
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say, in 1900, what are the odds of man landing on the moon,
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they would have said, that's ridiculous.
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And if you try to talk to them about the internet,
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They would not even know what the heck you're even talking about.
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Like, this sounds so crazy.
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But today, with a $100 device,
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you can video conference with anyone in the world.
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On the other side of the world.
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And if you have a Wi-Fi connection, it's basically free.
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Free to have an instant visual communication with anyone,
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or even with millions of people.
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With social media, you can communicate to millions of people simultaneously.
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You can Google something and ask any question.
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It's like an article of wisdom that you can ask almost any question and get an instant response.
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It would have been incredibly difficult to predict these things in the past,
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even the relatively recent past.
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I think the one thing that we can be quite certain of is
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that any predictions we make today for what the future will be like in 50 years will be wrong.
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That's for sure.
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I mean, I think directionally,
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I can tell you what I hope the future has,
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as opposed to maybe what it will be,
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because this may just be wishful thinking.
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I mean, I hope we are out there on Mars and maybe beyond Mars,
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the moons of Jupiter.
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I hope we're traveling frequently throughout the solar system,
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perhaps preparing for missions to nearby star systems.
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I think all of this is possible within 50 years.
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And I think that will be very exciting to do that.
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And I think we'll see autonomy and artificial intelligence advance tremendously.
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That's actually quite near term.
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My guess is in probably 10 years,
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it will be very unusual for cars to be built that are not fully autonomous.
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10 years.
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10 years from now.
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Yeah.
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I think almost all cars built will be capable of full autonomy in about 10 years.
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As it is, the Tesla cars that are made today have the sensor system necessary for full autonomy,
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and we think probably enough compute power to be safer than a person.
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So it's mostly just a question of developing the software and uploading the software.
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And if it turns out that the compute power,
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that more compute power is needed,
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we can easily upgrade the computer.
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And so that's all Tesla's built since October of last year.
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And other manufacturers will follow and do the same thing.
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So getting in a car will be like getting in an elevator.
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You just tell it where you want to go,
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and it takes you there with extreme levels of safety.
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And that'll be normal.
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It'll just be normal.
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For elevators, they used to be elevator operators.
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You get in, there'll be a guy moving a lever.
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Now you just get in,
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you press the button, and that's taken for granted.
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So autonomy will be widespread.
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I think one of the most troubling questions is artificial intelligence.
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And I don't mean narrow AI.
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Like vehicle autonomy, I would put in the narrow AI class,
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it's narrowly trying to achieve a certain function.
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But deep artificial intelligence, or what is sometimes called artificial general intelligence,
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where you could have AI that is much smarter than the smartest human on earth.
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This, I think, is a dangerous situation.
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Why it is dangerous?
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I mean, there is two views.
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One view is artificial intelligence will help humanity.
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There is another school of thought is artificial intelligence is a threat to humanity.
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Why is it?
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Well, I think it's both.
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You know, it's like one way to think of it is imagine we're going to be visited,
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imagine you're very confident
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that we were going to be visited by super intelligent aliens in let's say 10 years or 20 years at the most.
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Super intelligent.
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So you think within 20 years we'll have alien in Earth?
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Well, digital super intelligence will be like an alien.
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It will be like an alien.
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But my question is, do you think there is other intelligent life outside the Earth?
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It seems probable, but I think this is one of the great questions in physics and philosophy,
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is where are the aliens?
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Maybe they're among us, I don't know.
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Some people think I'm an alien.
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Not true.
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Not true.
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But maybe we are aliens.
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Of course I'd say that.
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Maybe we are aliens, Ellen.
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I mean, if you look at this part of the world,
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they believe that human beings are not from Earth.
145
They came from somewhere else.
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Eve and Adam came from somewhere else to Earth.
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So in a way, human beings are alien to this land.
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Do you think?

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Bu dersin kelimeleri ve konuşma notları

Bu C1 seviyesindeki konuşma dersi “[Học tiếng Anh THẬT] Elon Musk - Future, AI” videosuna dayanıyor. En çok tekrarlanan kelimeler: alien, intelligence, artificial, autonomy, earth. Bu videoda gölgeleme çalışması için 148 cümle ve 1176 kelime var. Konuşma bölümü 8:42 sürüyor. Konuşmacı dakikada yaklaşık 135 kelimelik dengeli bir hızla konuşuyor; gölgeleme için rahat bir tempo. Kelimelerin %86’i İngilizcede en sık kullanılan 3.000 kelime arasında; geri kalanına başlamadan önce bakmakta fayda var.

Bu videodaki önemli kelimeler

Videodaki en ileri düzey 13 kelime, telaffuzu ve anlamıyla:

KelimeTelaffuzAnlam
autonomy isim/ɔˈtɑ.nə.mi/özerklik, otonomi
compute fiil/kəmˈpjuːt/hesaplamak
accelerate fiil/ɪkˈsɛl.əˌɹeɪt/hızlandırmak
predict fiil/pɹɪˈdɪkt/öngörmek, tahmin etmek
augment fiil/ɔɡˈmɛnt/çoğaltmak, artırmak
excite fiil/ɪkˈsaɪt/heyecanlandırmak
rectangle isim/ˈrɛktæŋɡl̩/dikdörtgen, mustatil
lever isim/ˈliː.və/kaldıraç
narrowly zarf/ˈnæɹoʊli/ucu ucuna
confuse fiil/kənˈfjuːz/karıştırmak
autonomous sıfat/ɔˈtɑnəməs/otonom
sensor isim/ˈsɛn.sɚ/duyarga, sensör
uncertain sıfat/ʌnˈsɜɹ.tən/şüpheli

Tekrar etmeye değer cümleler

Videodan, günlük konuşmada yeniden kullanabileceğiniz kısa ve tam cümleler:

  • You're like batting it back and forth.
  • How do you see it?
  • Maybe they're among us, I don't know.
  • Some people think I'm an alien.
  • Of course I'd say that.

Dikkat edilecek telaffuzlar

Konuşmacı we're, you're, don't gibi kısaltılmış biçimleri 20 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.

  • “sh” ve “zh” sesleri: indistinguishable [ˌɪn.dɪˈstɪŋ.ɡwɪ.ʃə.bl̩], wishful /ˈwɪʃfəl/, prediction /pɹɪˈdɪkʃən/
  • Uzun kelimeler — vurguyu doğru yere koyun: autonomy /ɔˈtɑ.nə.mi/, elevator /ˈɛləˌveɪtɚ/, photorealistic /ˌfoʊ.toʊˌɹiː.əlˈɪs.tɪk/, accelerate /ɪkˈsɛl.əˌɹeɪt/, extrapolate /ɛkˈstɹæp.əˌleɪt/

Türkçe konuşanların zorlandığı sesler:

  • /w/ — dudaklar yuvarlak, /v/ değil: indistinguishable [ˌɪn.dɪˈstɪŋ.ɡwɪ.ʃə.bl̩], wishful /ˈwɪʃfəl/
  • Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: predict /pɹɪˈdɪkt/, probable /ˈpɹɑbəbl̩/, prediction /pɹɪˈdɪkʃən/
  • /æ/ — “e”den daha açık: extrapolate /ɛkˈstɹæp.əˌleɪt/, rectangle /ˈrɛktæŋɡl̩/, narrowly /ˈnæɹoʊli/, advancement /ædˈvæns.mənt/

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; autonomy, compute, accelerate 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 →