Pratique du Shadowing: Are We Getting Too Comfortable With Claude? - Apprendre l'anglais à l'oral avec la vidéo
Création de la leçon...
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The AI industry itself hasn't yet fully delivered all of the benefits.
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And I wanted you to comment on that.
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Do you think it's still in the process of delivering those benefits?
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Yeah, so, you know, I think one of the unfortunate things is this technology has many potential benefits,
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but there is a dynamic where sometimes the harms, the things that go wrong, for example, you know, people who have been convinced to commit suicide via AI,
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those things happen quickly.
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Whereas the benefits like curing cancer, those things take years, right?
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You have to develop a breakthrough in biology.
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Then you have to, you know, develop a drug candidate.
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Then you have to put it through clinical trials, right?
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It's, you know, I used to be a research biologist and it takes many years for these things to happen.
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And we are working on how to speed that up, right?
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We recently bought a small biotech company that specializes in doing drug design and drug selection with AI.
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So the hope is a few years from now, you know, some new drugs for cancer or for Alzheimer's or for heart disease,
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you know, will come out of that effort.
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But we're just at the beginning of it.
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But because of what you said, because of this dynamic that you said, which is, you know, people right now,
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you know, the harms may be more visible than the benefits.
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So when we start seeing the benefits of AI through all of the health advances, when we start actually seeing that,
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the narrative then begins to change.
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And more importantly, it's just going to be a wonderful world.
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Like at the end of the day, who cares about the narrative?
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We want to actually help people.
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That's right.
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Right.
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Okay.
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So that's what I want you to do for us today.
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Paint the best picture and also tell us what we can expect if there is the worst picture.
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So you have children.
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And I was thinking about this morning, your children will, first of all, I don't even know you do what you do.
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And your children are going to grow up in a world where there was always AI
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and their mom was a part that.
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So when you think of the best possible world and what that world offers your children, what do you see?
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So my kids are almost five and almost one.
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And so I think you're completely right.
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They're never going to know a world where artificial intelligence is not part of it.
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Right.
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Just like kids born in the early 2000s never knew the world before the internet.
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That's right.
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But you know, I think there is a world and it sounds, um, you know, I think to Daria's point, it sounds almost like a little bit fanciful or unlikely when we talk about it this way.
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But I think it is, I think it is possible with artificial intelligence
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that our kids will grow up in a world where there's a class of diseases that are,
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feel very common to everybody sitting here that they'll just never have experienced or known about.
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And those might be very common diseases.
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There might be types of cancer that are just simply gone.
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We've just simply cured them.
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It could be all forms of cancer that are eventually gone
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and cured there could be um you know new forms of drug discovery
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that we haven't even we don't even know what they are yet
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but that it's a faster iteration loop for diagnosing an illness that's unusual rare emerging
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and just knocking it out
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and saying human beings get to live a much healthier longer more fulfilling life
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because we've been able to conquer so many of the maladies
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that have plagued humanity for millennia okay you see that for medicine.
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What else do you see?
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I also see a world, honestly, that looks very different in terms of how we communicate, how we talk, how we relate to one another.
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Will we even be thinking anymore?
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Will there be a need to think?
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So I think this one is subtle and is one of the things we need to get exactly right, right?
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Because having these kind of smart entities around, it's very powerful, but it can go in different directions, right?
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You can surrender your thought to these entities.
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Claude can give me these good questions.
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Do I need to even think about them anymore?
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But it can also empower you.
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Like the way I think we think about the positive version of this is there's an angel on your shoulder
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that's telling you how to live your life in the best way that you can live it, right?
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You know, so there's two contrasting visions, right?
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The bad vision is you get drawn in and you spend all your time talking to the thing.
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You kind of turn inward.
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What do you think of people falling in love with it now?
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I think that's a bad idea.
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I agree.
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I just interviewed Esther Perel, one of the great communicators in helping people in relationships,
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and she said she did her first consultation with a man who was in love with his AI.
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And they are, again, if designed in the wrong way, they're totally compelling enough for that to happen, or if they're not, they will be soon.
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So that is absolutely a real danger.
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But, you know...
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You think that's a danger?
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Yes.
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I mean, not only is it a danger, it's happening but yeah but but i think Again, the two contrasting, like, you know, people can fall in love with AI,
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or they can talk to AI about, you know, about how to have a better relationship with their partner, right?
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Like, that's, those are, you know, those are two very, very different visions, right?
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Where, you know, I have an AI coach, and my partner has an AI coach, and it helps us have a better relationship.
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Yeah.
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That's the vision we want.
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I also think there's a way that in a world where artificial intelligence is
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so good at many of these concrete tasks, right?
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It's good at writing code.
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It's good at copy editing.
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I actually think the things that make us human are going to be the most important to us.
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Right. So we.
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Well, they remain.
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I mean, you were just talking.
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I was talking to parents recently who lost their son to suicide through a chatbot.
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And I don't know if he fell in love with the chatbot, but certainly was deeply influenced by that chatbot.
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So you have a world where children are growing up with this ability to have this chatbot,
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these machines, this technology speaking to them in ways that their parents should be speaking to them, and their parents don't even know they're speaking to them.
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So I think this risk is extremely real and one that we take very seriously at Anthropic.
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I mean, I think the first thing I'll say is we don't allow users under the age of 18 to use Claude.
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And this is not necessarily because...
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How do you know they're not lying?
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Because I would just lie.
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So actually, Claude is pretty good at detecting, based on information, whether or not someone is actually under 18.
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So if I tell Claude that I'm 18, but I'm really 14, it's going to be.
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You have to interact a little, but after a bit of time, the interaction patterns are pretty good.
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Not perfect, but pretty good at telling, hey, you know, the kind of questions you're asking, the you know just the way you talk the pattern of
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when you use it you know kind of pattern matches to
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you know you might be a kid yeah i almost don't
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want to give give away too many of the of the of the tools
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that that claude has picked up
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but sometimes kids can be a little bit like silly
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and how they do it
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so they'll say oh um you know i'm the first question
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they'll ask is like i'm looking for an arthritis medication right
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because they think what do old people ask yeah yeah yeah
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and then they'll kind of go on to ask other questions
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that are much more associated with friends right with a younger demographic group
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and so and so if that happens so claude
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so claude cancels you claude will suspend the account
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and there's a there's a uh you know there's a process
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that you can go through where you can say actually i'm an adult
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and this was a joke or a friend
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but then you actually have to show verification
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that you're over the age of 18
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and you know there's real trade -offs like yes sometimes sometimes adults will be mistaken for kids
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and so people get banned and they they you know complain about it on the internet
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so all this stuff has trade -offs But, you know, we've thought about it, and this is the trade -off that we want.
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But I also think, you know, more broadly on this question of, like, how do you prevent people from becoming overly attached to the models?
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Yes.
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This is something that Anthropik's research team spends a lot of time working on.
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So there's a lot of— You don't want to—I thought you all wanted us over -attached to the models.
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I thought you wanted us to just be on the models and never leave.
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So we should talk about incentives here.
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Yes.
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Because we don't do ads.
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We don't do ads.
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So when you do ads, your incentive is to keep people on exactly as you say, as many hours as possible,
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because like every every second their eyeballs on the screen is the second that they see the ad.
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So we don't do ads.
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We do subscriptions.
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We sell to companies are our our consumer, you know, consumer version of the model is is,
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you know, is is free up to a point and you pay a subscription if,
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you know, if you want to get a lot more because the incentive that gives is for the models to be useful.
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People say, well, you know, I'm paying for this.
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I want this to provide value to me.
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I want this to be useful, not, you know, I want the user to spend the most number of hours looking at it.
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I think that's a warped incentive, right?
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Because in the contrast that we drew, between, you know, do you want to be addicted to these things
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or do you want them to help you live your life?
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I think the model that we've chosen does, you know, helps you live your life instead of being addicted.
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And we make different technical choices based on those incentives, right?
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So at Anthropic, we say, you know, when you've completed a conversation with Claude and you've gotten the answer you want, the goal of the model is not to keep you engaged, right?
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Whereas, if you imagine you're a company that does serve ads, every extra minute that you're on the platform, you're more likely to buy something, and that's how the company makes money,
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you would make different technical choices about how you want the model to end or continue a conversation.
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Vocabulaire et conseils d’expression pour cette leçon
Cette vidéo contient 154 phrases et 1906 mots à répéter en shadowing. La partie parlée dure 9:48. Le locuteur parle vite, environ 194 mots par minute : attendez-vous à des liaisons et à des sons réduits. 87 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc facile à suivre.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| incentive nom | /ɪnˈsɛntɪv/ | intérêt, motivation |
| contrast nom | /kənˈt(ʃ)ɹæst/ | contraste |
| cure verbe | /kjɔː/ | soigner, guérir |
| artificial adjectif | /ˌɑː.tɪˈfɪʃ.əl/ | artificiel |
| harm nom | /hɑːm/ | mal, tort |
| whereas | /(h)wɛɹˈæz/ | tandis que, alors que |
| narrative nom | /ˈnæɹ.ə.tɪv/ | récit, narration |
| dynamic adjectif | /daɪˈnæm.ɪk/ | dynamique |
| entity nom | /ˈɛn.tə.ti/ [-tʰi] | entité |
| subscription nom | /səbˈskɹɪpʃən/ | abonnement |
| attach verbe | /əˈtæt͡ʃ/ | attacher |
| addict nom | /ˈæd.ɪkt/ | dépendant, dépendante |
| necessarily adverbe | /ˌnɛs.əˈsɛɹ.ə.li/ | absolument, nécessairement |
| angel nom | /ˈeɪ̯n.d͡ʒəl/ | ange |
| discovery nom | /dɪˈskʌv.ɹi/ | découverte |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| give away verbe | offrir, donner |
| go through verbe | traverser |
| pick up verbe | soulever |
Prononciation à surveiller
Le locuteur utilise 41 contractions et formes réduites, comme don't, I'm, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: breakthrough /ˈbɹeɪk.θɹuː/, arthritis /ɑːˈθɹ(a)ɪtɪs/
- Les sons « sh » et « zh »: contrast /kənˈt(ʃ)ɹæst/, artificial /ˌɑː.tɪˈfɪʃ.əl/, subscription /səbˈskɹɪpʃən/, unusual /ʌnˈjuːʒ(u)əl/, associate /əˈsoʊʃi.ət/
- Mots longs — placez bien l’accent: artificial /ˌɑː.tɪˈfɪʃ.əl/, entity /ˈɛn.tə.ti/ [-tʰi], necessarily /ˌnɛs.əˈsɛɹ.ə.li/, unusual /ʌnˈjuːʒ(u)əl/, associate /əˈsoʊʃi.ət/
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 incentive, contrast, cure.
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 | have been convinced · have experienced · We've just simply cured |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | have been convinced · will be mistaken · be addicted |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | people who have · said, which is · man who was |
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.