跟读练习: Grok 4 pushes humanity closer to AGI… but there’s a problem - 通过视频学习英语口语

选择练习模式

每种模式都会打开全屏练习室。

43 句

如果句子过短或过长，请点击 Edit 进行调整。

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.

下载应用

流利口语所需的一切

AI 发音评分逐句打分

音标练习掌握每个音

词汇学习建立你的词库

词汇游戏边玩边学

扫码

Download on theApp Store Get it onGoogle Play

同频道

FOR YOU

本课的词汇与口语要点

这节 B2 级别的口语课以视频“Grok 4 pushes humanity closer to AGI… but there’s a problem”为素材。视频中反复出现的词有：Grok, model, Elon, debugging, benchmark。这段视频共有 43 个句子、841 个单词可供跟读。讲话部分时长为 3:54。说话人语速较快，每分钟约 216 个词，会出现较多连读和弱读。只有 78% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中最难的 15 个单词，附发音和释义：

单词	发音	释义
debug 动词	/diːˈbʌɡ/	調試 /调试, 除錯 /除错
codebase 名词		代碼庫 /代码库
sentry 名词	/ˈsɛn.tɹi/	哨兵, 步哨
demo 名词	/ˈdɛm.oʊ/	示範 /示范
chatbot 名词	/ˈtʃætbɑt/	聊天機器人 /聊天机器人
guardrail 名词	/ˈɡɑɹdˌɹeɪl/	護欄 /护栏
ludicrous 形容词	/ˈluː.dɪ.kɹəs/	滑稽的, 荒唐的
syntax 名词	/ˈsɪn.tæks/	句法
obsolete 形容词	/ˈɑbsəlit/	淘汰, 過時 /过时
manipulate 动词	/məˈnɪp.jʊ.leɪt/	操纵
accuse 动词	/əˈkjuz/	指責 /指责, 控告
steer 动词	/stɪɹ/	掌舵, 驾驶
pasta 名词	/ˈpɑ.stə/	мянфан, 意大利麵 /意大利面
painter 名词	/ˈpeɪntɚ/	畫家 /画家
satisfy 动词	/ˈsætɪsfaɪ/	滿足 /满足

视频中出现的短语动词

单词	释义
check out 动词	退房
find out 动词	找出, 查明
try out 动词	試用 /试用
turn out 动词	原來 /原来

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
现在完成进行时 have/has been + -ing — 以前开始、现在仍在继续的动作	have been dropping · it's been calling
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	I've tried · has been
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	is cooked · was manipulated

需要注意的发音

说话人用了 11 次缩略和弱读形式，例如 you're, can't, we're。请按听到的简短形式来说。

“sh” 和 “zh” 音: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
长单词——注意重音位置: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/

中文母语者容易读错的音：

词尾辅音 — 要读清楚，后面不要加元音: debug /diːˈbʌɡ/, benchmark /ˈbɛn(t)ʃmɑːk/, prompt /pɹɑmpt/, chatbot /ˈtʃætbɑt/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/
/r/ 和 /l/ 的区别: guardrail /ˈɡɑɹdˌɹeɪl/, ludicrous /ˈluː.dɪ.kɹəs/, singularity /ˌsɪŋɡjəˈlæɹətɪ/
/æ/ — 嘴张大，不要读成 /e/: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 debug, codebase, sentry 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: Grok 4 pushes humanity closer to AGI… but there’s a problem - 通过视频学习英语口语

选择练习模式

下载应用

Mind-bending new programming language for GPUs just dropped...

PostgreSQL in 100 Seconds

A $6.3 billion open-weight model just got embarrassed by the French...

Every app on Earth is now open source... whether it likes it or not

OpenAI’s lead engineer was secretly a spy...

Intel chips can’t possibly be this bad… 100% crash rate?

Did Google just kickstart the intelligence explosion?

Godot in 100 Seconds

The most interesting "hack" in history...

Array Map in 100 Seconds

Docker in 100 Seconds

The one OpenAI announcement that can actually make you money...

How to NOT Fail a Technical Interview

OpenAI’s new browser feels familiar…

10 weird OSS projects you need right now...

Firefox and Tor hit with 9.8 critical level exploit

5 open source tools that replaced my $320/mo AI stack...

25 crazy software bugs explained

C++ in 100 Seconds

DHH has gone completely off the rails...

I spent 3 days at MIT... the robot hype is worse than you think

Anthropic begged the world to stop AI… then shipped this

How I'd Learn AI From Scratch in 2026 (skip the useless 80%)

Is AI Doom Real... or Just Good Marketing?

Can This Vibe Coder Beat a Senior Developer?

What Happens If China Invades Taiwan? Elon Musk's AI Warning

Top five moments from CNBC's interview with OpenAI CEO Sam Altman

Codex Is Winning… So Why Am I Still Paying for Claude?

Claude Just Revealed AI's Biggest Problem

I Cooked Against Robots

FULL DISCUSSION: Google's Demis Hassabis, Anthropic's Dario Amodei Debate the World After AGI | AI1G

The 7 Trillion AI Gamble Is Failing. Big Tech is TRAPPED Right NOW.