쉐도잉 연습: Grok 4 pushes humanity closer to AGI… but there’s a problem - 영상으로 영어 말하기 배우기

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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,

along with the Trust Me Bro benchmarks to back it up.

It can achieve perfect SAT scores every time, and outperforms almost every grad student in every discipline.

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.

All you have to do is copy and paste your entire codebase into it.

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.

It all sounds amazing, but there's just one problem.

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.

Yes, the Austrian painter who died in Argentina in 1962.

Despite this controversy though, Grok appears to have pulled ahead in the race to AGI.

In today's video, we'll put it to the ultimate test

and find out if XAI just cracked the final solution to artificial intelligence.

It is July 11th, 2025, and you're watching The Code Report.

Elon Musk might have more haters than anyone else in the world right now.

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.

It turns out this poor guy was just a math teacher with no clients at all.

The haters want to see Elon fail, but Grok 4 is too impressive to ignore.

If we're to trust these benchmarks, its reasoning capabilities are far ahead of the other top models.

Most notably on the ARC AGI benchmark, it's not only outperforming other models, but also doing it at a lower cost.

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.

The thing is though, every model nowadays is cooked to look as good as possible on benchmarks.

And the one true test is to have it solve real problems in your own life.

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,

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.

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.

I've tried this prompt with every other AI tool out there, but none have been able to satisfy me.

When prompted, Grok did a ton of research.

It went to the documentation, it went to Reddit, GitHub, and even watched YouTube videos.

And the end result was a full working demo that did use the new runes feature in Svelte 5.

However, when I looked a little more closely at the code, I noticed it was using some legacy syntax that required some manual debugging.

Overall, Grok's coding capabilities seem to be on par with the other big models, but it's missing a CLI tool like CloudCode.

However, if it's as good as they say it is, why can't it just build its own CLI tool?

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.

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.

Maybe that's true, maybe not, but in general, Grok has far fewer guardrails on offensive speech compared to other mainstream models,

and this gives the end user the ability to steer it in unique ways that some might find offensive.

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.

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.

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,

allowing it to pinpoint the root cause with over 94% accuracy.

Using this context, it automatically debugs the root cause of your issue and opens a pull request with a fix.

Try out SEER for free today at sentry.io slash fireship.

This has been the Code Report, thanks for watching, and I will see you in the next one.

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이 레슨의 어휘와 말하기 포인트

이 B2 수준 말하기 레슨은 영상 “Grok 4 pushes humanity closer to AGI… but there’s a problem”을(를) 바탕으로 합니다. 가장 자주 반복되는 단어는 다음과 같습니다: Grok, model, Elon, debugging, benchmark. 이 영상에는 섀도잉할 문장 43개와 단어 841개가 있습니다. 말하는 구간의 길이는 3:54입니다. 화자는 분당 약 216단어로 빠르게 말하므로 연음과 약하게 발음되는 소리가 많습니다. 영어에서 가장 많이 쓰이는 3,000단어에 속하는 단어가 78%뿐이라 어휘가 어려운 편입니다.

이 영상의 핵심 어휘

영상에서 가장 어려운 단어 15개를 발음, 뜻과 함께 정리했습니다.

단어	발음	뜻
sentry 명사	/ˈsɛn.tɹi/	초병
prompt 동사	/pɹɑmpt/	부추기다
demo 명사	/ˈdɛm.oʊ/	데모
chatbot 명사	/ˈtʃætbɑt/	챗봇
guardrail 명사	/ˈɡɑɹdˌɹeɪl/	보호 난간
syntax 명사	/ˈsɪn.tæks/	통어론, 구문론
obsolete 형용사	/ˈɑbsəlit/	폐어
manipulate 동사	/məˈnɪp.jʊ.leɪt/	조종하다
accuse 동사	/əˈkjuz/	고소하다
pasta 명사	/ˈpɑ.stə/	파스타
painter 명사	/ˈpeɪntɚ/	화가
satisfy 동사	/ˈsætɪsfaɪ/	만족시키다
sponsor 명사	/ˈspɒn.səː/	스폰서
stack 명사	/stæk/	무더기
shooter 명사	/ˈʃuːtəː/	사수

이 영상의 문법

화자가 가장 많이 쓰는 문형을 영상 속 실제 표현과 함께 정리했습니다.

문형	영상 속 표현
현재완료진행 have/has been + -ing — 전에 시작해 지금도 계속되는 동작	have been dropping · it's been calling
현재완료 have/has + 과거분사 — 과거의 일이 지금도 관련이 있을 때	I've tried · has been
수동태 be + 과거분사 — 누가 하는지보다 무슨 일이 일어나는지에 초점	is cooked · was manipulated

주의할 발음

화자는 you're, can't, we're 같은 축약형과 약화된 형태를 11번 사용합니다. 들리는 대로 짧게 발음하세요.

“sh”와 “zh” 소리: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
긴 단어 — 강세 위치에 주의: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/

한국어 화자가 어려워하는 소리:

/f/ — ㅍ(/p/)으로 바꾸지 말고 윗니를 아랫입술에 대기: outperform /ˌaʊt.pɚˈfɔɹm/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, satisfy /ˈsætɪsfaɪ/, fixing /ˈfɪksɪŋ/
/z/ — ㅈ이 아니라 성대를 울리는 /s/: accuse /əˈkjuz/, nowadays /ˈnaʊ.ə.deɪz/
/r/과 /l/ 구별하기: guardrail /ˈɡɑɹdˌɹeɪl/, ludicrous /ˈluː.dɪ.kɹəs/, singularity /ˌsɪŋɡjəˈlæɹətɪ/

이 영상으로 연습하는 방법

먼저 말하지 않고 영상을 끝까지 듣고 모르는 단어를 적어 둡니다.
0.75배속으로 한 문장씩 섀도잉을 시작하고, 익숙해지면 보통 속도로 돌아갑니다.
자신의 목소리를 녹음해 원본과 비교하고, sentry, prompt, demo 같은 단어에 특히 주의합니다.

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법

쉐도잉(Shadowing)은 원래 전문 통역사 훈련을 위해 개발된 언어 학습 기법으로, 다언어 학자인 Dr. Alexander Arguelles에 의해 대중화된 방법입니다. 핵심 원리는 간단하지만 매우 강력합니다: 원어민의 영어를 들으면서 1~2초의 짧은 지연으로 즉시 소리 내어 따라 말하는 것——마치 '그림자(shadow)'처럼 화자를 따라가는 것입니다. 문법 공부나 수동적인 청취와 달리, 쉐도잉은 뇌와 입 근육이 동시에 실시간으로 영어를 처리하고 재현하도록 훈련합니다. 연구에 따르면 이 방법은 발음 정확도, 억양, 리듬, 연음, 청취력, 말하기 유창성을 크게 향상시킵니다. IELTS 스피킹 준비와 자연스러운 영어 소통을 원하는 분들에게 특히 효과적입니다.

섀도잉 방법: 단계별 전체 가이드 읽기 →

쉐도잉 연습: Grok 4 pushes humanity closer to AGI… but there’s a problem - 영상으로 영어 말하기 배우기

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이 레슨의 어휘와 말하기 포인트

이 영상의 핵심 어휘

이 영상의 문법

주의할 발음

이 영상으로 연습하는 방법

쉐도잉이란? 영어 실력을 빠르게 키우는 과학적 방법