Shadowing-Übung: Grok 4 pushes humanity closer to AGI… but there’s a problem - Englisch Sprechen Lernen mit Video
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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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Wortschatz und Sprechhinweise zu dieser Lektion
Diese Sprechübung auf Niveau B2 basiert auf dem Video „Grok 4 pushes humanity closer to AGI… but there’s a problem“. Diese Wörter kommen am häufigsten vor: Grok, model, Elon, debugging, benchmark. Dieses Video enthält 43 Sätze und 841 Wörter zum Nachsprechen. Der gesprochene Teil dauert 3:54. Der Sprecher spricht schnell, etwa 216 Wörter pro Minute – rechne mit verbundenen und verkürzten Lauten. Nur 78 % der Wörter gehören zu den 3.000 häufigsten im Englischen, der Wortschatz ist also anspruchsvoll.
Wichtiger Wortschatz in diesem Video
Die 15 anspruchsvollsten Wörter aus dem Video, mit Aussprache und Bedeutung:
| Wort | Aussprache | Bedeutung |
|---|---|---|
| debug Verb | /diːˈbʌɡ/ | debuggen |
| benchmark Substantiv | /ˈbɛn(t)ʃmɑːk/ | Maßstab, Höhenfestpunkt |
| codebase Substantiv | Codebasis, Codebase | |
| sentry Substantiv | /ˈsɛn.tɹi/ | Wache, Wachposten |
| prompt Verb | /pɹɑmpt/ | veranlassen, dazu bringen |
| demo Substantiv | /ˈdɛm.oʊ/ | Demonstration |
| capability Substantiv | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | Fähigkeit, Fertigkeit |
| chatbot Substantiv | /ˈtʃætbɑt/ | Chatbot |
| guardrail Substantiv | /ˈɡɑɹdˌɹeɪl/ | Geländer, Leitplanke |
| ludicrous Adjektiv | /ˈluː.dɪ.kɹəs/ | aberwitzig, absurd |
| magically Adverb | /ˈmæd͡ʒ.ɪ.kli/ | märchenhaft, magisch |
| pinpoint Verb | /ˈpɪnpɔɪnt/ | genau verorten, ausmitteln |
| singularity Substantiv | /ˌsɪŋɡjəˈlæɹətɪ/ | Eigenheit |
| syntax Substantiv | /ˈsɪn.tæks/ | Syntax, Satzbau |
| obsolete Adjektiv | /ˈɑbsəlit/ | veraltet, obsolet |
Phrasal Verbs, die du hören wirst
| Wort | Bedeutung |
|---|---|
| check out Verb | überprüfen |
| find out Verb | herausfinden, erfahren |
| try out Verb | ausprobieren, probieren |
| turn out Verb | sich herausstellen als/dass, sich erweisen als |
Grammatik in diesem Video
Die Strukturen, die der Sprecher am häufigsten verwendet, mit den genauen Worten aus dem Video:
| Struktur | Im Video |
|---|---|
| Present Perfect Continuous have/has been + -ing – eine Handlung, die früher begann und noch andauert | have been dropping · it's been calling |
| Present Perfect have/has + Partizip Perfekt – eine vergangene Handlung, die jetzt noch wichtig ist | I've tried · has been |
| Passiv be + Partizip Perfekt – wichtig ist, was geschieht, nicht wer es tut | is cooked · was manipulated |
Aussprache, auf die du achten solltest
Der Sprecher verwendet 11 Kurzformen und abgeschwächte Formen, zum Beispiel you're, can't, we're. Sprich sie in der kurzen Form, so wie du sie hörst.
- Die Laute „sh“ und „zh“: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
- Lange Wörter – auf die Betonung achten: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Laute, die Deutschsprachigen schwerfallen:
- Stimmhafter Auslaut — /b/, /d/, /g/, /z/, /v/ am Wortende nicht verhärten: debug /diːˈbʌɡ/, accuse /əˈkjuz/, lib /ˈlɪb/, nowadays /ˈnaʊ.ə.deɪz/
- /æ/ — offener als „ä“: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/
So übst du mit diesem Video
- Höre dir das ganze Video einmal an, ohne zu sprechen, und notiere die Wörter, die du nicht kennst.
- Beginne mit 0,75-facher Geschwindigkeit, sprich Satz für Satz nach und wechsle zur normalen Geschwindigkeit, sobald es leichtfällt.
- Nimm dich auf und vergleiche mit dem Original; achte dabei auf Wörter wie debug, benchmark, codebase.
Was ist die Shadowing-Technik?
Shadowing ist eine wissenschaftlich fundierte Sprachlerntechnik, die ursprünglich für die professionelle Dolmetscherausbildung entwickelt und durch den Polyglotten Dr. Alexander Arguelles populär gemacht wurde. Die Methode ist einfach aber wirkungsvoll: Du hörst englisches Audio von Muttersprachlern und wiederholst es sofort laut — wie ein Schatten, der dem Sprecher mit nur 1–2 Sekunden Verzögerung folgt. Anders als passives Hören oder Grammatikübungen zwingt Shadowing dein Gehirn und deine Mundmuskulatur, gleichzeitig echte Sprachmuster zu verarbeiten und zu reproduzieren. Studien zeigen, dass es Aussprachegenauigkeit, Intonation, Rhythmus, verbundene Sprache, Hörverständnis und Sprechflüssigkeit signifikant verbessert — was es zu einer der effektivsten Methoden für die IELTS Speaking-Vorbereitung und reale englische Kommunikation macht.