跟读练习: Did Anthropic just save its $1 trillion IPO? - 通过视频学习英语口语

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While Honeypot Wong was busy falling head over leather jacket for a succulent Chinese spy, These Chinese models are excellent.

Dario was putting the final touches on his prep work for the Anthropic IPO roadshow that started yesterday.

Unfortunately, it's coming at a pretty rough time for Dr. Doomsday.

The U .S midterms turned into a referendum on data centers where voters made it clear they hate them,

and Wall Street responded by panic selling every AI stock it could find.

That dragged Anthropik's expected valuation down from $2 trillion in September to a mere $1 trillion today.

So yesterday, Dollar Store Dario gave investors something else to look at by releasing Fable and Mythos 5 .2,

which you'll never believe are faster and cheaper than the versions that just came out two months ago.

During testing, it built an entire operating system starting from an empty folder, it finished a math project in 30 hours that Opus failed to finish,

and it even designed a working Tamagotchi.

In today's video, we'll look at everything these new models can do and answer the question I know you've all been wondering.

Can it create an interactive thoroughbred with an appropriate amount of realness?

It is November 10th, 2026, and you're watching the Code Report.

If you don't follow the Claude Cinematic Universe closely, Fable and Mythos are the same model,

but Mythos is the unrestricted one reserved for large companies with budgets for cybersecurity insurance,

and Fable is the one with guardrails that won't let you research how to cook up smallpox.

Now, we'll get to the fun stuff in a second, but let's get the boring stuff out of the way first.

The price is now $8 in and $40 out, which is down from $10 and $50 from $5 .1,

but Anthropic suggests that you should stick with Opus 5 .5 for most work

and only swap to Fable if you really need it.

For the operating system demo, an engineer pointed Fable at an empty folder and let 1 ,000 subagents have a Jensen -inspired freakfest for 8 days.

What comes out is a fairly legit OS that boots on a real laptop with its own kernel and drivers.

And you may remember back in August

when an unreleased Claude spent 11 days turning Fermat's last theorem into lean code that a computer could verify.

This time, a swarm of 1 ,000 Fable agents did it in 30 hours, and the proof was 7 times shorter,

while Opus 5 .5 crashed out at 26 % with the same setup.

And apparently it's decent at hardware too.

Working with a circuit board company called Diode, Fable took a one -paragraph prompt and used it to design a voice assistant hub,

a USB speakerphone, and a handheld virtual pet.

On the TMBBs, it beats GPT -6 Astra everywhere Anthropic listed an OpenAI score, it loses to Gemini 4

Carbon on business automation, and it more than doubles Astra on a robotics benchmark that Anthropic ran itself.

But enough glazing.

As you know, there's only one benchmark I trust.

A benchmark that's so good, it's become the industry standard by which humanity measures its new god -in -a -box toys, Thoroughbench.

So I open Claudecode and type those five famous words create a realistic interactive 3D horse with 3JS.

Make no mistakes.

Fable cooked for 43 minutes, and instead of downloading a horse model like a normal developer,

it sculpted the entire animal out of math using signed distance fields

that get meshed up and rigged to a skeleton every time the page loads.

It even screenshotted its own first attempt and roasted it.

The mane is bluish, the tail is stick -like, and the neck and hind legs are thin.

Then it went back and fixed every one of them.

The end result is the most realistic horse Thoroughbench has ever seen.

The skin texture and lighting look great, its head follows your mouse cursor,

and you can steer it with the arrow keys or orbit around it in 3D.

It's very cute and friendly, but gets extremely shy if you get too close.

The transitions between gates are buttery smooth, from a standstill all the way to a gallop,

although it's a little more awkward when coming to a full stop.

Under the hood, Opus 5 .5's horse had 95 ,000 vertices and 35 bones, while Fables has over 120 ,000 vertices and 38 bones,

and it plants each hoof with inverse kinematics, so unlike Kimmy, it's not just warping the mesh.

Fable 5 .2 didn't hallucinate a giant low -poly phallus like Gemini, but it equipped our horse with those rear leg shock absorbers,

which probably come in very handy when the horse decides to rear, as you can see here.

And the mane is a little lopsided, unless this was a custom request for his barber.

And even though I told it to make no mistakes, it admitted the horse is not photoreal, and the eyes are half -lidded.

So the final score for Fable, 5 .2 on Thoroughbench, is a 7 .77, making it the new state -of -the -art in horse.

And this really got me thinking, the models are starting to get so good

that we should really be naming the horses they create to keep track of them.

So we've decided to call this one TypeScript in honor of Secretariat, the greatest racehorse of all time,

who I can only assume would have loved to type if it had fingers.

And if you want to take him for a ride yourself, he now lives at typescript .dev, where you can walk, trot,

and gallop them right in your browser.

And if you ever need to run a video in your browser, you can do so with MUX, the sponsor of today's video.

Their highly customizable API is by far the easiest way to add video features to your application.

We've used it for years to host our courses, but it does a lot more than just infrastructure.

When you upload a video to MUX, you automatically get transcripts, storyboards, thumbnails, and clips.

From there, MUX Robots gives you AI workflows that can find key moments or pick the best thumbnail.

without you needing to host a model or maintain a pipeline.

You can automate all of this with directives where you define a workflow once and it runs on every new upload.

And robots keep up with new AI models automatically

so you can safely ignore the next video about whichever model just changed everything.

Perplexity, Patreon, and many other prestigious companies all trust MUX, and you can try robots on your own video in the dashboard.

The free plan includes 100 ,000 robots units and delivery minutes every month,

and you get an extra $50 credit at mux .com slash fireship or at the link below.

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

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本课的词汇与口语要点

这节口语课以视频“Did Anthropic just save its $1 trillion IPO?”为素材。视频中反复出现的词有：Fable, horse, model, mux。这段视频共有 74 个句子、1127 个单词可供跟读。讲话部分时长为 5:31。说话人语速较快，每分钟约 204 个词，会出现较多连读和弱读。只有 74% 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 15 个值得学习的单词，附发音和释义：

单词	发音	释义
robot 名词	/ˈɹoʊ.bɑt/	機器人 /机器人, 機械人 /机械人
bone 名词	/boʊn/	гўдў, гўдўзы
realistic 形容词	/ˌɹɪəˈlɪs.tɪk/	現實 /现实, 栩栩如生
upload 动词	/ˈʌpˌloʊd/	上載 /上载, 上傳 /上传
mesh 名词	/mɛʃ/	網孔 /网孔
folder 名词	/ˈfoʊldɚ/	卷宗, 文件夾 /文件夹
finger 名词	/ˈfɪŋɡɚ/	手指, 指頭 /指头
ignore 动词	/ɪɡˈnɔː/	無視 /无视, 忽略
gate 名词	/ˈɡeɪ̯t/	門口 /门口, 門 /门
thin 形容词	/ˈθɪn/	бә, 薄
infrastructure 名词	/ˈɪnfɹəˌstɹʌkt͡ʃə/	基礎設施 /基础设施
shock 名词	/ʃɔk/	衝擊 /冲击
transition 名词	/tɹænˈzɪʃ.ən/	過渡 /过渡, 轉變 /转变
custom 名词	/ˈkʌstəm/	習慣 /习惯, 習俗 /习俗
decent 形容词	/ˈdiː.sənt/	體面 /体面, 正派

视频中出现的短语动词

单词	发音	释义
come out 动词	/ˌkʌm ˈaʊt/	出, 出來 /出来
go back 动词		回去, 返回

需要注意的发音

说话人用了 10 次缩略和弱读形式，例如 we'll, we've, didn't。请按听到的简短形式来说。

“th” 音: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
“sh” 和 “zh” 音: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
长单词——注意重音位置: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/

中文母语者容易读错的音：

/v/ — 不要读成 /w/，上齿轻触下唇: interactive /ˌɪn.tɚˈæk.tɪv/, virtual /ˈvɜɹt͡ʃuəl/, developer /dɪˈvɛləpɚ/, voter /ˈvoʊtɚ/, investor /ɪnˈvɛs.tə(ɹ)/
词尾辅音 — 要读清楚，后面不要加元音: robot /ˈɹoʊ.bɑt/, benchmark /ˈbɛn(t)ʃmɑːk/, math /mæθ/, realistic /ˌɹɪəˈlɪs.tɪk/, interactive /ˌɪn.tɚˈæk.tɪv/
/r/ 和 /l/ 的区别: realistic /ˌɹɪəˈlɪs.tɪk/, virtual /ˈvɜɹt͡ʃuəl/, guardrail /ˈɡɑɹdˌɹeɪl/, perplexity /pəɹˈplɛksəti/

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 robot, bone, realistic 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: Did Anthropic just save its $1 trillion IPO? - 通过视频学习英语口语

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