Pratique du Shadowing: Three Specific Ways AI Could Kill Us All - Apprendre l'anglais à l'oral avec la vidéo
Création de la leçon...
1
By this point, you've probably heard that AI could be really dangerous and possibly civilization-ending if it becomes superintelligent and goes rogue.
2
But experts usually don’t speculate on exactly what that means for us lowly humans.
3
So when the policy wonks over at Control AI approached us about making a video about the dangers of unregulated AI, we agreed, but on one condition: that we could get those experts to describe a few specific scenarios in which superintelligent AI really could wipe us off the map.
4
Hi, I’m David, and this is MinuteApocalypse.
5
One of the main goals of AI is to automate tasks –often things that humans can't or don't want to do themselves– so the AI models are built to be capable and independent.
6
But they’re getting so powerful and so autonomous that many experts are convinced that soon AI will become far more capable than any person, corporation or even nation –they'll attain what scientists call "superintelligence".
7
They’ll be able to accomplish their goals in ways we humans can’t anticipate – and even come up with their own goals. And since so much in our lives is connected and controlled by computers, a superintelligent AI could conceivably hijack those computers, thereby controlling almost everything.
8
But what kinds of real-life, civilization-ending scenarios are experts actually worried about?
9
One example you might have heard about is the so-called Paperclip Maximizer problem.
10
The gist is that an AI that's given computer control over a smart factory and directed to make as many paperclips as possible might decide that we humans are a good source of carbon for making the steel in those paperclips – and use us all up in the process.
11
Of course, this maximization problem could just as easily apply to an AI that – in trying to muster the computational power to, say, solve the incredibly complicated Riemann hypothesis – takes over all the world’s data centers to work on the problem, and then takes over all of the world's electrical grids and directs them to send power to the data centers, which uses up all the energy in the world, plunging humanity into chaos and darkness.
12
Or there’s the scenario in which a super-intelligent AI – on a mission to create better conditions for the massive data centers that power it – starts messing with Earth’s atmosphere.
13
Because while oxygen is a necessity for humans, it is not for AI; in fact, the element causes corrosion.
14
So the AI might take control over computers in chemical plants in order to suck all the oxygen out of the air, creating a perfect environment for machines that just so happens to be deadly for us humans.
15
And then there’s the scenario where AI actively tries to wipe out humans.
16
Like, let’s say an AI biological design tool that has been programmed to develop new drugs decides that it doesn’t want pesky humans interfering with its work.
17
It could use its skill set to create a hyper-engineered pathogen designed to be resistant to all current medicines.
18
After all, doing so would kill off anyone who could potentially shut it down.
19
Experts are all over the map when it comes to how likely they think one of these situations – or some terrifying variant of them – are to happen.
20
Ten percent seems to be an average – although some experts think the likelihood is a lot higher. But most of them are pretty convinced that the dawn of AI superintelligence – and the dangers that come with it – will be here very soon. And we will definitely need some help with that.
21
Some of these scenarios are pretty scary, but there’s still time to make a difference.
22
Right now, lawmakers are deciding what the future of AI regulation will look like, and if you want to learn more or have your voice heard, check out campaign.controlai.com. There, the experts at ControlAI – which sponsored this video – have put together really helpful educational resources about the risk of extinction from superintelligence, as well as simple and powerful ways to get more involved.
23
ControlAI has already mobilized tens of thousands of people to take action on this issue; in just the last few months, they’ve sent over 50,000 messages to lawmakers.
24
They’re building the movement to keep humanity in control. Go to campaign.controlai.com to help secure our future.
📺 Même chaîne
B27
Why Do India And China Have So Many People?
IELTS PrepTOEFL PrepUniversity Students
B21
Why Haven't We Domesticated Monkeys?
University StudentsWorking Adults
B22
Where Did Earth's Water Come From?
IELTS PrepTOEFL PrepUniversity Students
B29
The Heaviest Part of a Forest Is NOT What You Think
IELTS PrepTOEFL PrepUniversity Students
C19
Why Don't Blue Whales Eat Fish?
IELTS PrepTOEFL PrepUniversity Students
B22
Why We Faint (When Other Animals Don't)
TOEFL PrepUniversity Students
C13
How To Kill A Volcano
University StudentsWorking Adults
C168
Why is it Hot Underground?
IELTS PrepTOEFL PrepUniversity Students
C12
MinuteEarth Explains: Cats vs Dogs
Daily ConversationUniversity StudentsWorking Adults
C13
Why Don't Snakes Poison Themselves?
IELTS PrepTOEFL PrepUniversity Students
C16
The Best Dragon (According to Science)
University StudentsWorking Adults
C18
How High Can Birds Fly?
IELTS PrepTOEFL PrepUniversity Students
C13
Why Do Rivers Curve?
IELTS PrepTOEFL PrepUniversity Students
B2Why Do We Have More Boys Than Girls?
University Students
B2MinuteEarth Explains: Microbes
IELTS PrepTOEFL PrepUniversity Students
B2Why Don't Our Bones Keep Growing Forever?
TOEFL PrepUniversity Students
B2Could This Thing *Really* Fly?
University Students
C1There’s Really Only One Way To Die
IELTS PrepTOEFL PrepUniversity Students
B2You've Been Misled About The Water Cycle
Daily ConversationUniversity StudentsWorking Adults
B2What I Learned on Monkey Island
University StudentsWorking Adults
✨ Vidéo recommandée
C13
457 phrases
MIT Explains the 12 Possible Endings for AI
Business EnglishDaily ConversationUniversity Students
B21
261 phrases
GMA First Look Full Broadcast - Sept. 9, 2026
Business EnglishDaily ConversationUniversity Students
C12
54 phrases
Did Google just kickstart the intelligence explosion?
American AccentBusiness EnglishDaily ConversationUniversity Students
B21
46 phrases
Anthropic AI Researcher Issues Dire Warning it 'Could Kill Us All'
Business EnglishDaily ConversationUniversity Students
B21
10 phrases
Is smart technology making us dumb? | GMF compact
Daily ConversationUniversity StudentsWorking Adults
C15
170 phrases
What Happens When Capitalism Doesn't Need Workers Anymore?
Business EnglishDaily ConversationUniversity Students
C12
260 phrases
AI Just Crossed the Terrifying Line - Now What?
Business EnglishDaily ConversationUniversity Students
C110
184 phrases
A.I. ‐ Humanity's Final Invention?
Business EnglishDaily ConversationUniversity Students
B22
43 phrases
AI is changing the world, but is it also trying to kill us? @RonnyChieng investigates #DailyShow
Business EnglishDaily ConversationUniversity Students
C11
254 phrases
AI Will Create New Wealth, But Not Where You Think | Carnegie Mellon University, Po-Shen Loh
Business EnglishDaily ConversationUniversity Students
B21
147 phrases
Could AI Become Dangerous? The Real Risks Explained
Business EnglishDaily ConversationUniversity Students
C14
76 phrases
The Limitless AI Lie. The Bubble Is Slowly BURSTING.
Business EnglishDaily ConversationUniversity Students
Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « Three Specific Ways AI Could Kill Us All ». Les mots qui reviennent le plus souvent : humans, experts, scenario, controlai, computer. Cette vidéo contient 24 phrases et 725 mots à répéter en shadowing. La partie parlée dure 3:31. Le locuteur parle vite, environ 206 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 81 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| superintelligence nom | superintelligence | |
| wipe verbe | /waɪp/ | essuyer |
| civilization nom | /ˌsɪv.ɪ.laɪˈzeɪ.ʃən/ | civilisation |
| automate verbe | /ˈɔ.təˌmeɪt/ | automatiser |
| corrosion nom | /kəˈɹoʊʒən/ | corrosion |
| hijack verbe | /ˈhaɪ.d͡ʒæk/ | détourner |
| mobilized adjectif | mobilisé | |
| pathogen nom | /ˈpæθəd͡ʒn̩/ | pathogène |
| plunge verbe | /plʌnd͡ʒ/ | plonger |
| speculate verbe | /ˈspɛk.jʊˌleɪt/ | spéculer |
| terrify verbe | /ˈtɛɹɪfaɪ/ | terrifier |
| attain verbe | /əˈteɪn/ | atteindre |
| computational adjectif | /ˌkɑmpjʊˈteɪʃənəl/ | computationnel |
| anticipate verbe | /ænˈtɪs.ɪ.peɪt/ | anticiper, prévoir |
| extinction nom | /ɪkˈstɪŋkʃən/ | extinction |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| take over verbe | reprendre |
| check out verbe | mater, regarder |
| come up with verbe | inventer, imaginer |
| put together verbe | assembler |
| wipe out verbe | anéantir |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | you've probably heard · has been programmed · have put |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | are built · are convinced · is connected |
Prononciation à surveiller
Le locuteur utilise 12 contractions et formes réduites, comme can't, don't, they'll. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: pathogen /ˈpæθəd͡ʒn̩/, hypothesis /haɪˈpɒθɪsɪs/, thereby /ðɛɹˈbaɪ/
- Les sons « sh » et « zh »: civilization /ˌsɪv.ɪ.laɪˈzeɪ.ʃən/, corrosion /kəˈɹoʊʒən/, computational /ˌkɑmpjʊˈteɪʃənəl/, extinction /ɪkˈstɪŋkʃən/, accomplish /əˈkɑm.plɪʃ/
- Mots longs — placez bien l’accent: civilization /ˌsɪv.ɪ.laɪˈzeɪ.ʃən/, computational /ˌkɑmpjʊˈteɪʃənəl/, anticipate /ænˈtɪs.ɪ.peɪt/, autonomous /ɔˈtɑnəməs/, hypothesis /haɪˈpɒθɪsɪs/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: hijack /ˈhaɪ.d͡ʒæk/, hypothesis /haɪˈpɒθɪsɪs/, likelihood /ˈlaɪklihʊd/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: hijack /ˈhaɪ.d͡ʒæk/, pathogen /ˈpæθəd͡ʒn̩/, plunge /plʌnd͡ʒ/
- /r/ anglais — langue recourbée, sans frotter la gorge: corrosion /kəˈɹoʊʒən/, terrify /ˈtɛɹɪfaɪ/, variant /ˈvæɹi.ənt/, rogue /ˈɹoʊɡ/, resistant /ɹəˈzɪstənt/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme superintelligence, wipe, civilization.
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.