Pratique du Shadowing: Sam Altman on AI: 'We've not had the iPhone moment' - Apprendre l'anglais à l'oral avec la vidéo
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Welcome back.
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OpenAI's Sam Altman making some new comments over the weekend.
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Kate Rooney joins us with more.
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Hey, Kate.
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Hey, Leslie.
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So OpenAI CEO saying that the AI revolution may take a little bit longer than expected.
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Sam Altman appeared on David Senra's podcast over the weekend.
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He said we're still at the Palm Pilot stage of adoption.
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A lot of the technology was there.
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It was missing multi-touch, but mostly it was missing the product ideas that made the iPhone the iPhone.
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And I feel like we are now in a world where we have all of the technological pieces,
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but we have not had the iPhone moment of completely changing how someone interfaces with technology.
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Altman went on to say that AI adoption has been slower than expected, and so has the economic disruption.
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The economy just has so much inertia.
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People keep doing the same things they're doing.
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They keep buying from the same company.
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They keep sort of wanting to use their tools in the same way.
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I think it's actually a positive in many ways, and it's going to this big transition in front of us go smoother and slower, and I'm grateful for it.
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But I think it means we've all been too ambitious on timelines, even with this incredible technology.
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A couple of other headlines, guys.
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Altman said that compute right now is the biggest bottleneck.
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He said that is where he's spending the most time at OpenAI.
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Two of the biggest risks for AI that he outlined, he talked about a loss of control where AI gets too powerful,
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And then one company or one model ends up having too much power as well.
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He also said OpenAI wants to be a platform company and not actually compete with its customers.
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So maybe a sigh of relief there from some software names.
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Well, Kate, what does that mean to be a platform company?
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So basically, David, that they would be, it's called an API, but they would be behind the scenes powering other startups.
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The fear around OpenAI, Anthropic, and others is that they want to go what people call up the stack.
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They want to be the actual app in the interface with customers and say disrupt, you know, a traditional software company Altman positioning OpenAI as,
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hey, we're going to work with everybody on the back end and sort of white label our technology.
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We don't necessarily want to build every legal company, every software company, every cyber company,
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which is where a lot of the software sell up and the SaaSpocalypse earlier this year that we talked about came from.
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Altman, though, strategically positioning that.
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He also wants to win over enterprises.
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So if you think about his reasoning behind saying that and messaging that is that, hey, you also need to make sure that enterprises feel comfortable working with you.
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So clearly some motivation there to frame it that way.
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But he also talked about ditching some strategic projects and some important projects.
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He talked about the power loss.
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And when you think about the venture capital mindset of sticking with one of the biggest bets paying off, he said, you know, we ditched Sora, for example, because it was taking up too much compute.
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That was the video generation side of it.
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So got a little bit of his thinking behind OpenAI, but he still very much thinks like an investor in a lot of ways.
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Yeah, it's interesting hearing him talk about the centralization of power, though.
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But yet, I mean, wouldn't open source be one of the answers to that as well?
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It's interesting, David.
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And that would be the obvious answer to that would be cheaper options out of China.
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And they've sort of he's sort of danced around that.
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They didn't talk about open source in particular, but he did take some sort of veiled attacks at at Anthropic.
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He talked about this caricature of, you know, AI power being in the hands of he said he sort of described it as this fiefdom said.
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I think he used the word bequeath.
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But, you know, we're going to bequeath the AI on our, you know, our not.
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You didn't use the word peasants, but you know what I mean.
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He used this sort of analogy, this renaissance analogy of AI companies controlling a lot of the power, doing amazing things like curing diseases, but at the same time,
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meaning that the average person gets a lot less control and sort of uses this maybe overstatement of caricature of AI.
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He didn't mention Anthropic specifically, but a lot of people are picking up on that, saying, oh, he's probably taking a dig at his biggest competitor there.
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Yeah, there's no shortage of digs at Dario
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and Anthropic are there very subtle exactly well it's interesting i mean the two biggest companies
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when they talk about a competitor it's usually it's usually anthropic yeah it is kate thank you
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « Sam Altman on AI: 'We've not had the iPhone moment' ». Les mots qui reviennent le plus souvent : Altman, Openai, anthropic, talked, biggest. Cette vidéo contient 58 phrases et 836 mots à répéter en shadowing. La partie parlée dure 4:12. Le locuteur parle vite, environ 199 mots par minute : attendez-vous à des liaisons et à des sons réduits. 83 % 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 |
|---|---|---|
| anthropic adjectif | /ænˈθɹɒp.ɪk/ | anthropique |
| bequeath verbe | /bɪˈkwiːθ/ | léguer, transmettre |
| caricature adjectif | /ˈkɛɹɪkət͡ʃʊɚ/ | caricature |
| compute verbe | /kəmˈpjuːt/ | computer, calculer |
| analogy nom | /əˈnæləd͡ʒi/ | analogie |
| competitor nom | /kəmˈpɛt.ɪ.tɚ/ | compétiteur, compétitrice |
| ditch nom | /dɪt͡ʃ/ | fossé, tranchée |
| interface nom | /ˈɪn(t)ɚˌfeɪs/ | interface |
| adoption nom | /əˈdɑp.ʃən/ | adoption |
| bottleneck nom | goulot, goulot de bouteille | |
| centralization nom | /ˌsɛntɹələˈzeɪʃən/ | centralisation |
| inertia nom | /ɪnˈɝ.ʃə/ | inertie |
| strategically adverbe | stratégiquement | |
| disrupt verbe | /dɪsˈɹʌpt/ | perturber, déranger |
| veil nom | /veɪl/ | voile |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| call up verbe | sélectionner |
| end up verbe | se terminer, se finir |
| pay off verbe | soudoyer |
Prononciation à surveiller
Le locuteur utilise 12 contractions et formes réduites, comme didn't, we're, don't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: anthropic /ænˈθɹɒp.ɪk/, bequeath /bɪˈkwiːθ/
- Les sons « sh » et « zh »: adoption /əˈdɑp.ʃən/, centralization /ˌsɛntɹələˈzeɪʃən/, inertia /ɪnˈɝ.ʃə/, disruption /dɪsˈɹʌpʃən/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/
- Mots longs — placez bien l’accent: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, competitor /kəmˈpɛt.ɪ.tɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: caricature /ˈkɛɹɪkət͡ʃʊɚ/, analogy /əˈnæləd͡ʒi/, ditch /dɪt͡ʃ/, shortage /ˈʃɔː(ɹ)tɪd͡ʒ/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/
- /r/ anglais — langue recourbée, sans frotter la gorge: anthropic /ænˈθɹɒp.ɪk/, caricature /ˈkɛɹɪkət͡ʃʊɚ/, centralization /ˌsɛntɹələˈzeɪʃən/, disrupt /dɪsˈɹʌpt/, disruption /dɪsˈɹʌpʃən/
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 anthropic, bequeath, caricature.
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.