Pratique du Shadowing: Everyone Is Wrong About AI Coding - Apprendre l'anglais à l'oral avec la vidéo
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103 phrases
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It doesn't matter where you look,
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everyone is talking about how quick and good AI is,
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especially when it comes to writing code.
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And even if we assume all of these statements that they're saying are 100% true,
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which in reality, most of them are over-exaggerated,
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I'm still not worried about AI taking over programming jobs.
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Let's just take the base level claim that AI can write code 10 times quicker than I can as a developer.
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And let's assume that this AI code is 100% perfect code of the exact same quality that I would write.
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Maybe even it's better quality than the code that I myself would write.
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So we're getting 10 times the output by using AI as opposed to handwriting code,
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and the quality stays exactly the same.
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I personally don't believe that you get this with AI,
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but even assuming all of these statistics,
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I still don't think AI is going to replace programmers.
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The reason being, imagine
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that you are a CEO at a company that's publicly traded
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your number one goal is to create as much profit as possible for your shareholders that have your stock.
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That's just what a publicly owned company,
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especially in the U.S., is supposed to do.
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So your goal is to maximize profit.
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And now imagine that I come to you and I say,
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I can make every single one of your developers 10 times more productive.
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You can crank out features and products like you've never been able to do before.
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All you need to do is just start using AI.
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What are you going to do?
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Are you going to say, oh, this is great.
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I'm now going to fire 90% of my workforce so that I can be exactly the same as I was before.
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Or are you going to say,
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wow, this is a huge competitive advantage.
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I can now use this AI in my same exact workforce that I have,
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and I can create 10 times as much content or features or updates that all my other competitors can do,
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which will skyrocket my stock price
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and all of the different things related to my company are going to be good
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because I'm 10 times more productive than everyone else.
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Clearly, it makes sense to choose that second option.
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And if you were a company that decided instead of choosing that second option and being 10 times more productive,
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you're going to fire 90% of your workforce and stay exactly as productive as you are,
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all of your other competitors are going to be taking advantage of
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that 10 times increase and they're going to surpass you and your company will essentially fade out and die.
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So if that's the case,
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why aren't we actually seeing these 10x improvements?
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You may know that the job market,
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especially for programming, is just not great right now.
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The entire job market is not great,
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but programming as well is just not a great job market right now.
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And the reason for that actually has nothing to do with AI replacing programmers
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and instead the fact that the market is just not in a good place right now.
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The entire economy is down,
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jobs across the board are down,
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spending is down, and overall,
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companies are hesitant to hire when they're in these type of situations where the entire economy is down.
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This is especially compounded by the fact that companies,
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especially tech-related companies, massively overhired in like 2020,
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2021, 2022, even into 2023,
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because there was a massive boom during COVID.
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Everyone was at home tech companies skyrocket in valuation, and they massively overhired.
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They kept on that workforce for a while,
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but as the economy started to go down,
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they realized, why are we keeping all these additional people on?
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We overhired.
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We have more developers than we can actually handle.
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So they fired off those developers,
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and that's why the economy has not been great for job markets in the exact programming niche.
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Now, most companies are going to say,
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oh, the reason we're firing all these developers is so
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that we're going to be implementing AI and it's replacing all of our developers.
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But in reality, what's happening is they have a hard market,
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they're losing profit, and they're saying,
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well, the best thing to do when we're losing money like this is to fire some developers because we have too many.
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And instead of going to our shareholders and saying,
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hey, our company is losing tons of money, so we're firing people.
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Instead, they say, hey, we're like super cool and we're using AI in all of our products,
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so now we can fire people because AI is making our business better.
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Even if that's not true,
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it just sounds a lot better.
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So that's what they tell the shareholders to keep their stock price high,
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as opposed to saying, hey,
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our company's actually losing money,
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which is why we're firing people.
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There have been countless times throughout the history of even just programming where new technology
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or tools have come along that have drastically increased the performance of developers
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and made them better and quicker at writing high quality code.
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And I will admit that AI is a massive multiplier compared to some of these other things,
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but I don't think the result is going to be any different.
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Yes, AI
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when used by a competent developer is going to be able to create more code than someone that's not using AI.
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And if it's done right,
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it can create just as high quality code,
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but at a much faster pace.
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But that doesn't mean that we're just going to sit back and say,
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well, now we can, you know,
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spend less time writing code.
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Instead, we're going to create more code than ever before
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and create more features and more products because that's just how the world works.
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When you have more resources that you can put towards something,
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you're going to put those more resources towards that thing to continually expand
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because there are infinite numbers of ideas out there
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and there's only a finite amount of resources so
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if we can multiply those resources that just means
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that we can serve more of those infinite number of ideas
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that people have now you may be thinking well what
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if the ai gets good enough to completely replace programmers
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and for that i just want to direct you to this video right here where i talk all about that problem
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau C1 s’appuie sur la vidéo « Everyone Is Wrong About AI Coding ». Les mots qui reviennent le plus souvent : code, developer, create, programming, quality. Cette vidéo contient 103 phrases et 1080 mots à répéter en shadowing. La partie parlée dure 4:53. Le locuteur parle vite, environ 221 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 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 |
|---|---|---|
| workforce nom | /ˈwɝk.foɹs/ | main-d'œuvre, personnel |
| programmer nom | /ˈpɹoʊɡɹæmɚ/ | programmeur, programmeuse |
| shareholder nom | /ˈʃɛəˌhəʊl.də(ɹ)/ | actionnaire |
| skyrocket verbe | /ˈskaɪˌɹɒk.ɪt/ | grimper en flèche, monter en flèche |
| competitor nom | /kəmˈpɛt.ɪ.tɚ/ | compétiteur, compétitrice |
| oppose verbe | /əˈpoʊz/ | s'opposer à |
| exaggerate verbe | /ɛɡˈzæd͡ʒ.ə.ɹeɪt/ | exagérer, outrer |
| hesitant adjectif | /ˈhɛzɪtənt/ | hésitant |
| multiplier nom | /ˈmʌltɪˌplaɪəɹ/ | multiplicateur |
| multiply verbe | /ˈmʌltɪplaɪ/ | multiplier |
| surpass verbe | /sɚˈpæs/ | surpasser, dépasser |
| handwriting nom | /ˈhændɹaɪtɪŋ/ | écriture |
| crank nom | /ˈkɹæŋk/ | manivelle |
| maximize verbe | /ˈmæksəmaɪz/ | maximiser |
| drastically adverbe | extrêmement |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| come along verbe | accompagner, venir |
| go down verbe | descendre |
| sit back verbe | se détendre |
| take over verbe | reprendre |
Prononciation à surveiller
Le locuteur utilise 27 contractions et formes réduites, comme we're, they're, don't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: shareholder /ˈʃɛəˌhəʊl.də(ɹ)/, valuation /ˌvæ.ljuːˈeɪ.ʃən/
- Mots longs — placez bien l’accent: competitor /kəmˈpɛt.ɪ.tɚ/, exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/, valuation /ˌvæ.ljuːˈeɪ.ʃən/, continually /kənˈtɪnjuəli/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: shareholder /ˈʃɛəˌhəʊl.də(ɹ)/, hesitant /ˈhɛzɪtənt/, handwriting /ˈhændɹaɪtɪŋ/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/, niche /nɪt͡ʃ/
- /r/ anglais — langue recourbée, sans frotter la gorge: workforce /ˈwɝk.foɹs/, programmer /ˈpɹoʊɡɹæmɚ/, shareholder /ˈʃɛəˌhəʊl.də(ɹ)/, skyrocket /ˈskaɪˌɹɒk.ɪt/, exaggerate /ɛɡˈzæd͡ʒ.ə.ɹeɪt/
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 workforce, programmer, shareholder.
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.