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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Bu dersin kelimeleri ve konuşma notları
Bu B2 seviyesindeki konuşma dersi “Grok 4 pushes humanity closer to AGI… but there’s a problem” videosuna dayanıyor. En çok tekrarlanan kelimeler: Grok, model, Elon, debugging, benchmark. Bu videoda gölgeleme çalışması için 43 cümle ve 841 kelime var. Konuşma bölümü 3:54 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 216 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin yalnızca %78’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.
Bu videodaki önemli kelimeler
Videodaki en ileri düzey 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| debug fiil | /diːˈbʌɡ/ | hata ayıklama, hatasızlaştırmak |
| benchmark isim | /ˈbɛn(t)ʃmɑːk/ | mihenk taşı |
| sentry isim | /ˈsɛn.tɹi/ | nöbetçi, gözcü |
| guardrail isim | /ˈɡɑɹdˌɹeɪl/ | korkuluk |
| syntax isim | /ˈsɪn.tæks/ | sözdizimi, sentaks |
| aggressively zarf | agresif bir şekilde, agresif | |
| obsolete sıfat | /ˈɑbsəlit/ | eskimiş |
| manipulate fiil | /məˈnɪp.jʊ.leɪt/ | manipüle etmek |
| accuse fiil | /əˈkjuz/ | suçlamak |
| steer fiil | /stɪɹ/ | yönetmek |
| pasta isim | /ˈpɑ.stə/ | makarna |
| painter isim | /ˈpeɪntɚ/ | ressam |
| satisfy fiil | /ˈsætɪsfaɪ/ | tatmin etmek, yetmek |
| stack isim | /stæk/ | yığın |
| monkey isim | /ˈmʌŋki/ | maymun |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| check out fiil | gözden geçirmek |
| find out fiil | anlamak, ortaya çıkarmak |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect continuous have/has been + -ing — önceden başlayıp hâlâ süren bir eylem | have been dropping · it's been calling |
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | I've tried · has been |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | is cooked · was manipulated |
Dikkat edilecek telaffuzlar
Konuşmacı you're, can't, we're gibi kısaltılmış biçimleri 11 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “sh” ve “zh” sesleri: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
- Uzun kelimeler — vurguyu doğru yere koyun: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/
Türkçe konuşanların zorlandığı sesler:
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: prompt /pɹɑmpt/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, steer /stɪɹ/, sponsor /ˈspɒn.səː/, stack /stæk/
- /æ/ — “e”den daha açık: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; debug, benchmark, sentry gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.