Pratique du Shadowing: How does AI work? - Apprendre l'anglais à l'oral avec la vidéo
Création de la leçon...
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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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau B1 s’appuie sur la vidéo « How does AI work? ». Les mots qui reviennent le plus souvent : step, learn, picture, baby, task. Cette vidéo contient 100 phrases et 1082 mots à répéter en shadowing. La partie parlée dure 7:45. Le locuteur parle à un rythme régulier d’environ 140 mots par minute, confortable pour le shadowing. 84 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| instruction nom | /ɪnˈstɹʌkʃən/ | instruction |
| unicorn nom | /ˈju.nɪ.kɔɹn/ | licorne |
| artificial adjectif | /ˌɑː.tɪˈfɪʃ.əl/ | artificiel |
| messy adjectif | /ˈmɛsi/ | désordonné, désorganisé |
| hummingbird nom | /ˈhʌmɪŋˌbɜɹd/ | colibri, oiseau-mouche |
| pea nom | /piː/ | pois |
| furry nom | /ˈfɜɹ.i/ | furry |
| similarity nom | /ˌsɪm.ɪˈlæɹ.ɪ.ti/ | similarité, similitude |
| steer verbe | /stɪɹ/ | conduire, guider |
| slice nom | /slaɪs/ | tranche, tronçon |
| pause nom | /pɔːz/ | pause |
| nest nom | /nɛst/ | nid |
| predict verbe | /pɹɪˈdɪkt/ | prédire |
| combine verbe | /kəmˈbaɪn/ | combiner |
| soup nom | /sup/ | potage, soupe |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| come up with verbe | inventer, imaginer | |
| figure out verbe | cerner | |
| pick up verbe | soulever | |
| make up verbe | /ˌmeɪk ˈʌp/ | constituer, composer |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | is controlled · is given · is programmed |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | You've probably heard · you've heard |
| Possibilité avec « might / may » might/may + verbe — quelque chose de possible mais pas certain | might wonder · might sound · may have |
| Présent continu am/is/are + -ing — ce qui se passe en ce moment | is changing · is learning · They're making |
Prononciation à surveiller
Le locuteur utilise 21 contractions et formes réduites, comme doesn't, you're, you've. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: instruction /ɪnˈstɹʌkʃən/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- Mots longs — placez bien l’accent: artificial /ˌɑː.tɪˈfɪʃ.əl/, similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/, differently /ˈdɪf.ə.ɹənt.li/
Les sons difficiles pour les francophones :
- /r/ anglais — langue recourbée, sans frotter la gorge: instruction /ɪnˈstɹʌkʃən/, unicorn /ˈju.nɪ.kɔɹn/, hummingbird /ˈhʌmɪŋˌbɜɹd/, furry /ˈfɜɹ.i/, similarity /ˌsɪm.ɪˈlæɹ.ɪ.ti/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Répétez phrase par phrase à vitesse normale, en reprenant chacune jusqu’à ce que votre rythme corresponde à celui du locuteur.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme instruction, unicorn, artificial.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.