Pratique du Shadowing: Grok 4 pushes humanity closer to AGI… but there’s a problem - Apprendre l'anglais à l'oral avec la vidéo
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Yesterday, after achieving a, quote, ludicrous rate of progress, Elon Musk released his AI chatbot and large language model, Grok4, and claims it's the smartest AI in the world,
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along with the Trust Me Bro benchmarks to back it up.
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It can achieve perfect SAT scores every time, and outperforms almost every grad student in every discipline.
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Vibecoders have been dropping all kinds of crazy demos with it, like this 3D first-person shooter built in four hours, and Elon himself claims it's even better than Cursor.
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All you have to do is copy and paste your entire codebase into it.
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In addition, Super Grok 4 Heavy can run in parallel to solve complex problems, while your obsolete monkey brain looks in awe at this beautiful futuristic UI.
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It all sounds amazing, but there's just one problem.
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Grok is literally MechaHitler, or at least that's what it's been calling itself recently, while offering unprompted praise to the original emo kid Adolf H.
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Yes, the Austrian painter who died in Argentina in 1962.
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Despite this controversy though, Grok appears to have pulled ahead in the race to AGI.
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In today's video, we'll put it to the ultimate test
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and find out if XAI just cracked the final solution to artificial intelligence.
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It is July 11th, 2025, and you're watching The Code Report.
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Elon Musk might have more haters than anyone else in the world right now.
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Libs hate him for going full MAGA, while MAGA hates him for accusing Trump of being on the Epstein client list, a list that was on the Attorney General's desk, but now magically never existed.
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It turns out this poor guy was just a math teacher with no clients at all.
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The haters want to see Elon fail, but Grok 4 is too impressive to ignore.
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If we're to trust these benchmarks, its reasoning capabilities are far ahead of the other top models.
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Most notably on the ARC AGI benchmark, it's not only outperforming other models, but also doing it at a lower cost.
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And XAI is scaling up very aggressively, like they're even shipping a power plant from overseas because they can't get it done fast enough in the United States.
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The thing is though, every model nowadays is cooked to look as good as possible on benchmarks.
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And the one true test is to have it solve real problems in your own life.
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You can use Gronk 4 for just $30 per month, or if you're not already broke from OpenAI Pro, Claude Max, and Gemini Ultra,
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you can use Super Grok4 Heavy for just $300 per month, a version with higher rate limits and the ability to run multiple agents in parallel.
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But one problem in my life is building Svelte 5 apps with runes, so let's see if we can make Grok4 build a simple to-do app with this tech.
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I've tried this prompt with every other AI tool out there, but none have been able to satisfy me.
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When prompted, Grok did a ton of research.
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It went to the documentation, it went to Reddit, GitHub, and even watched YouTube videos.
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And the end result was a full working demo that did use the new runes feature in Svelte 5.
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However, when I looked a little more closely at the code, I noticed it was using some legacy syntax that required some manual debugging.
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Overall, Grok's coding capabilities seem to be on par with the other big models, but it's missing a CLI tool like CloudCode.
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However, if it's as good as they say it is, why can't it just build its own CLI tool?
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Well, actually it can, and that's exactly what this guy did if we're truly advancing into the singularity, AI can and should be building all of its own tooling at this point.
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Pretty cool, but if you're still afraid to use it because of Hitler, you'll be happy to know that Elon said it was manipulated into saying this.
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Maybe that's true, maybe not, but in general, Grok has far fewer guardrails on offensive speech compared to other mainstream models,
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and this gives the end user the ability to steer it in unique ways that some might find offensive.
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AI is now writing more of our code than ever, but according to a recent Microsoft study, it still sucks at debugging, which is why you should check out Sentry, the sponsor of today's video.
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They just launched a new AI debugging agent called Sear, which developers claim is actually good and capable of fixing complex issues in one shot.
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That's because unlike other AI debugging tools, Sear can access all the context that it gets from your codebase, like error data, logs, and stack traces,
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allowing it to pinpoint the root cause with over 94% accuracy.
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Using this context, it automatically debugs the root cause of your issue and opens a pull request with a fix.
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Try out SEER for free today at sentry.io slash fireship.
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This has been the Code Report, thanks for watching, and I will see you in the next one.
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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 « Grok 4 pushes humanity closer to AGI… but there’s a problem ». Les mots qui reviennent le plus souvent : Grok, model, Elon, debugging, benchmark. Cette vidéo contient 43 phrases et 841 mots à répéter en shadowing. La partie parlée dure 3:54. Le locuteur parle vite, environ 216 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 78 % 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 |
|---|---|---|
| debug verbe | /diːˈbʌɡ/ | débugger, déboguer |
| benchmark nom | /ˈbɛn(t)ʃmɑːk/ | critère, aune |
| codebase nom | codebase | |
| sentry nom | /ˈsɛn.tɹi/ | sentinelle |
| prompt verbe | /pɹɑmpt/ | inciter |
| demo nom | /ˈdɛm.oʊ/ | démo, démonstration |
| capability nom | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | capacité |
| chatbot nom | /ˈtʃætbɑt/ | chatbot, dialogueur |
| guardrail nom | /ˈɡɑɹdˌɹeɪl/ | garde-fou, garde-corps |
| ludicrous adjectif | /ˈluː.dɪ.kɹəs/ | absurde |
| magically adverbe | /ˈmæd͡ʒ.ɪ.kli/ | magiquement, par magie |
| pinpoint verbe | /ˈpɪnpɔɪnt/ | localiser, identifier |
| singularity nom | /ˌsɪŋɡjəˈlæɹətɪ/ | singularité |
| unprompted adjectif | spontané | |
| syntax nom | /ˈsɪn.tæks/ | syntaxe |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| check out verbe | mater, regarder |
| find out verbe | découvrir, savoir |
| try out verbe | essayer, expérimenter |
| turn out verbe | se finir, se terminer |
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 continu have/has been + -ing — une action commencée avant et toujours en cours | have been dropping · it's been calling |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | I've tried · has been |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | is cooked · was manipulated |
Prononciation à surveiller
Le locuteur utilise 11 contractions et formes réduites, comme you're, can't, we're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
- Mots longs — placez bien l’accent: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Les sons difficiles pour les francophones :
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: chatbot /ˈtʃætbɑt/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, magically /ˈmæd͡ʒ.ɪ.kli/
- /r/ anglais — langue recourbée, sans frotter la gorge: outperform /ˌaʊt.pɚˈfɔɹm/, rune /ɹuːn/, sentry /ˈsɛn.tɹi/, prompt /pɹɑmpt/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/
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 debug, benchmark, codebase.
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.