Shadowing Practice: Grok 4 pushes humanity closer to AGI… but there’s a problem - Learn English Speaking with 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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Woordenschat en spreektips bij deze les
Deze spreekles op niveau B2 is gebaseerd op de video “Grok 4 pushes humanity closer to AGI… but there’s a problem”. Deze woorden komen het vaakst terug: Grok, model, Elon, debugging, benchmark. Deze video bevat 43 zinnen en 841 woorden om na te spreken. Het gesproken deel duurt 3:54. De spreker praat snel, ongeveer 216 woorden per minuut, dus reken op verbonden en ingeslikte klanken. Slechts 78% van de woorden hoort bij de 3.000 meest gebruikte Engelse woorden, dus de woordenschat is pittig.
Belangrijke woorden in deze video
De 15 moeilijkste woorden uit de video, met uitspraak en betekenis:
| Woord | Uitspraak | Betekenis |
|---|---|---|
| debug werkwoord | /diːˈbʌɡ/ | debuggen |
| benchmark zelfstandig naamwoord | /ˈbɛn(t)ʃmɑːk/ | ijkpunt, maatstaf |
| sentry zelfstandig naamwoord | /ˈsɛn.tɹi/ | schildwacht |
| prompt werkwoord | /pɹɑmpt/ | aansporen, aanmoedigen |
| demo zelfstandig naamwoord | /ˈdɛm.oʊ/ | demo, demonstratie |
| chatbot zelfstandig naamwoord | /ˈtʃætbɑt/ | chatbot |
| guardrail zelfstandig naamwoord | /ˈɡɑɹdˌɹeɪl/ | vangrail |
| singularity zelfstandig naamwoord | /ˌsɪŋɡjəˈlæɹətɪ/ | bijzonderheid |
| syntax zelfstandig naamwoord | /ˈsɪn.tæks/ | syntaxis |
| aggressively bijwoord | agressief | |
| obsolete bijvoeglijk naamwoord | /ˈɑbsəlit/ | verouderd, achterhaald |
| manipulate werkwoord | /məˈnɪp.jʊ.leɪt/ | manipuleren |
| accuse werkwoord | /əˈkjuz/ | beschuldigen, aanklagen |
| steer werkwoord | /stɪɹ/ | besturen |
| pasta zelfstandig naamwoord | /ˈpɑ.stə/ | deegwaren, pasta |
Phrasal verbs die je zult horen
| Woord | Betekenis |
|---|---|
| check out werkwoord | onderzoeken |
| find out werkwoord | ontdekken, onderzoeken |
| try out werkwoord | uitproberen |
| turn out werkwoord | uitvallen, resulteren |
Grammatica in deze video
De structuren die de spreker het meest gebruikt, met de exacte woorden uit de video:
| Structuur | In de video |
|---|---|
| Present perfect continuous have/has been + -ing — iets dat eerder begon en nog bezig is | have been dropping · it's been calling |
| Present perfect have/has + voltooid deelwoord — iets uit het verleden dat nu nog telt | I've tried · has been |
| Lijdende vorm be + voltooid deelwoord — het gaat om wat er gebeurt, niet om wie het doet | is cooked · was manipulated |
Uitspraak om op te letten
De spreker gebruikt 11 samentrekkingen en verkorte vormen, zoals you're, can't, we're. Spreek ze kort uit, zoals je ze hoort.
- De klanken “sh” en “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
- Lange woorden — let op de klemtoon: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Klanken die Nederlandstaligen lastig vinden:
- Stemhebbende eindmedeklinker — /b/, /d/, /g/, /z/, /v/ niet verscherpen: debug /diːˈbʌɡ/, accuse /əˈkjuz/, lib /ˈlɪb/, nowadays /ˈnaʊ.ə.deɪz/
- /æ/ — opener dan de Nederlandse “e”: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/
- /g/ — een harde plofklank, geen Nederlandse “g”: debug /diːˈbʌɡ/, guardrail /ˈɡɑɹdˌɹeɪl/, singularity /ˌsɪŋɡjəˈlæɹətɪ/
Zo oefen je met deze video
- Luister de hele video één keer zonder te spreken en noteer de woorden die je niet kent.
- Begin op 0,75× snelheid, spreek zin voor zin na en ga terug naar normale snelheid zodra het makkelijk gaat.
- Neem jezelf op en vergelijk met het origineel; let daarbij op woorden als debug, benchmark, sentry.
Wat is de Shadowing-techniek?
Shadowing is een wetenschappelijk onderbouwde taalleermethode die oorspronkelijk is ontwikkeld voor professionele tolkentraining en gepopulariseerd door polyglot Dr. Alexander Arguelles. De methode is eenvoudig maar krachtig: je luistert naar native Engelse audio en herhaalt het onmiddellijk hardop — als een schaduw die de spreker volgt met slechts 1–2 seconden vertraging. In tegenstelling tot passief luisteren of grammaticadrills, dwingt shadowing je hersenen en mondspieren om echte spraakpatronen tegelijkertijd te verwerken en te reproduceren. Onderzoek toont aan dat het de uitspraaknauwkeurigheid, intonatie, ritme, verbonden spraak, luisterbegrip en spreekvaardigheid aanzienlijk verbetert — waardoor het een van de meest effectieve methoden is voor IELTS Speaking-voorbereiding en echte Engelse communicatie.