शैडोइंग अभ्यास: Did Anthropic just save its $1 trillion IPO? - वीडियो के साथ अंग्रेजी बोलना सीखें

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74 वाक्य

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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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इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “Did Anthropic just save its $1 trillion IPO?” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: Fable, horse, model, mux। इस वीडियो में शैडोइंग के लिए 74 वाक्य और 1127 शब्द हैं। बोला गया हिस्सा 5:31 लंबा है। वक्ता तेज़ बोलता है, लगभग 204 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 74% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
robot संज्ञा	/ˈɹoʊ.bɑt/	रोबोट, यंत्रमानव
benchmark संज्ञा	/ˈbɛn(t)ʃmɑːk/	मानक, मापदंड
bone संज्ञा	/boʊn/	हड्डी, अस्थि
realistic विशेषण	/ˌɹɪəˈlɪs.tɪk/	वास्तविक
upload क्रिया	/ˈʌpˌloʊd/	चढ़ाना, उपारोपण
folder संज्ञा	/ˈfoʊldɚ/	फ़ोल्डर
finger संज्ञा	/ˈfɪŋɡɚ/	उंगली, अंगुल
ignore क्रिया	/ɪɡˈnɔː/	उपेक्षा, उपेक्षा करना
gate संज्ञा	/ˈɡeɪ̯t/	फाटक, द्वार
thin विशेषण	/ˈθɪn/	पतला, दुबला
infrastructure संज्ञा	/ˈɪnfɹəˌstɹʌkt͡ʃə/	अवसंरचना
shock संज्ञा	/ʃɔk/	झटका
custom संज्ञा	/ˈkʌstəm/	प्रथा, रीति
decent विशेषण	/ˈdiː.sənt/	शोभनीय, उचित
leather संज्ञा	/ˈlɛðɚ/	चमड़ा, चर्म

ध्यान देने योग्य उच्चारण

वक्ता 10 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे we'll, we've, didn't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“th” की ध्वनियाँ: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
“sh” और “zh” की ध्वनियाँ: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
लंबे शब्द — बलाघात सही रखें: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

/v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: interactive /ˌɪn.tɚˈæk.tɪv/, virtual /ˈvɜɹt͡ʃuəl/, hardware /ˈhɑɹdˌwɛɹ/, awkward /ˈɔk.wɚd/, developer /dɪˈvɛləpɚ/
/z/ — इसे “ज” (/dʒ/) न बनाएँ: browser /ˈbɹaʊ.zəɹ/, transition /tɹænˈzɪʃ.ən/, glaze /ɡleɪz/
शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: smooth /smuːð/, sponsor /ˈspɒn.səː/, swap /ˈswɑp/, skeleton /ˈskɛlətən/, screenshot /ˈskriːn.ʃɑt/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर robot, benchmark, bone जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: Did Anthropic just save its $1 trillion IPO? - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?