Pratique du Shadowing: Did Anthropic just save its $1 trillion IPO? - Apprendre l'anglais à l'oral avec la vidéo
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While Honeypot Wong was busy falling head over leather jacket for a succulent Chinese spy, These Chinese models are excellent.
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Dario was putting the final touches on his prep work for the Anthropic IPO roadshow that started yesterday.
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Unfortunately, it's coming at a pretty rough time for Dr. Doomsday.
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The U .S midterms turned into a referendum on data centers where voters made it clear they hate them,
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and Wall Street responded by panic selling every AI stock it could find.
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That dragged Anthropik's expected valuation down from $2 trillion in September to a mere $1 trillion today.
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So yesterday, Dollar Store Dario gave investors something else to look at by releasing Fable and Mythos 5 .2,
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which you'll never believe are faster and cheaper than the versions that just came out two months ago.
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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,
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and it even designed a working Tamagotchi.
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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.
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Can it create an interactive thoroughbred with an appropriate amount of realness?
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It is November 10th, 2026, and you're watching the Code Report.
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If you don't follow the Claude Cinematic Universe closely, Fable and Mythos are the same model,
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but Mythos is the unrestricted one reserved for large companies with budgets for cybersecurity insurance,
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and Fable is the one with guardrails that won't let you research how to cook up smallpox.
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Now, we'll get to the fun stuff in a second, but let's get the boring stuff out of the way first.
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The price is now $8 in and $40 out, which is down from $10 and $50 from $5 .1,
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but Anthropic suggests that you should stick with Opus 5 .5 for most work
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and only swap to Fable if you really need it.
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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.
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What comes out is a fairly legit OS that boots on a real laptop with its own kernel and drivers.
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And you may remember back in August
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when an unreleased Claude spent 11 days turning Fermat's last theorem into lean code that a computer could verify.
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This time, a swarm of 1 ,000 Fable agents did it in 30 hours, and the proof was 7 times shorter,
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while Opus 5 .5 crashed out at 26 % with the same setup.
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And apparently it's decent at hardware too.
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Working with a circuit board company called Diode, Fable took a one -paragraph prompt and used it to design a voice assistant hub,
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a USB speakerphone, and a handheld virtual pet.
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On the TMBBs, it beats GPT -6 Astra everywhere Anthropic listed an OpenAI score, it loses to Gemini 4
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Carbon on business automation, and it more than doubles Astra on a robotics benchmark that Anthropic ran itself.
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But enough glazing.
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As you know, there's only one benchmark I trust.
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A benchmark that's so good, it's become the industry standard by which humanity measures its new god -in -a -box toys, Thoroughbench.
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So I open Claudecode and type those five famous words create a realistic interactive 3D horse with 3JS.
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Make no mistakes.
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Fable cooked for 43 minutes, and instead of downloading a horse model like a normal developer,
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it sculpted the entire animal out of math using signed distance fields
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that get meshed up and rigged to a skeleton every time the page loads.
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It even screenshotted its own first attempt and roasted it.
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The mane is bluish, the tail is stick -like, and the neck and hind legs are thin.
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Then it went back and fixed every one of them.
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The end result is the most realistic horse Thoroughbench has ever seen.
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The skin texture and lighting look great, its head follows your mouse cursor,
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and you can steer it with the arrow keys or orbit around it in 3D.
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It's very cute and friendly, but gets extremely shy if you get too close.
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The transitions between gates are buttery smooth, from a standstill all the way to a gallop,
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although it's a little more awkward when coming to a full stop.
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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,
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and it plants each hoof with inverse kinematics, so unlike Kimmy, it's not just warping the mesh.
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Fable 5 .2 didn't hallucinate a giant low -poly phallus like Gemini, but it equipped our horse with those rear leg shock absorbers,
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which probably come in very handy when the horse decides to rear, as you can see here.
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And the mane is a little lopsided, unless this was a custom request for his barber.
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And even though I told it to make no mistakes, it admitted the horse is not photoreal, and the eyes are half -lidded.
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So the final score for Fable, 5 .2 on Thoroughbench, is a 7 .77, making it the new state -of -the -art in horse.
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And this really got me thinking, the models are starting to get so good
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that we should really be naming the horses they create to keep track of them.
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So we've decided to call this one TypeScript in honor of Secretariat, the greatest racehorse of all time,
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who I can only assume would have loved to type if it had fingers.
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And if you want to take him for a ride yourself, he now lives at typescript .dev, where you can walk, trot,
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and gallop them right in your browser.
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And if you ever need to run a video in your browser, you can do so with MUX, the sponsor of today's video.
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Their highly customizable API is by far the easiest way to add video features to your application.
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We've used it for years to host our courses, but it does a lot more than just infrastructure.
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When you upload a video to MUX, you automatically get transcripts, storyboards, thumbnails, and clips.
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From there, MUX Robots gives you AI workflows that can find key moments or pick the best thumbnail.
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without you needing to host a model or maintain a pipeline.
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You can automate all of this with directives where you define a workflow once and it runs on every new upload.
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And robots keep up with new AI models automatically
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so you can safely ignore the next video about whichever model just changed everything.
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Perplexity, Patreon, and many other prestigious companies all trust MUX, and you can try robots on your own video in the dashboard.
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The free plan includes 100 ,000 robots units and delivery minutes every month,
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and you get an extra $50 credit at mux .com slash fireship or at the link below.
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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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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « Did Anthropic just save its $1 trillion IPO? ». Les mots qui reviennent le plus souvent : Fable, horse, model, mux. Cette vidéo contient 74 phrases et 1127 mots à répéter en shadowing. La partie parlée dure 5:31. Le locuteur parle vite, environ 204 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 74 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| robot nom | /ˈɹoʊ.bɑt/ | robot |
| benchmark nom | /ˈbɛn(t)ʃmɑːk/ | critère, aune |
| bone nom | /boʊn/ | os |
| math nom | /mæθ/ | maths |
| realistic adjectif | /ˌɹɪəˈlɪs.tɪk/ | réaliste |
| interactive adjectif | /ˌɪn.tɚˈæk.tɪv/ | interactif |
| upload verbe | /ˈʌpˌloʊd/ | téléverser, télécharger |
| mesh nom | /mɛʃ/ | maillage |
| folder nom | /ˈfoʊldɚ/ | dossier, chemise |
| finger nom | /ˈfɪŋɡɚ/ | doigt |
| ignore verbe | /ɪɡˈnɔː/ | ignorer, ne pas prêter attention à |
| gate nom | /ˈɡeɪ̯t/ | portail, porte |
| thin adjectif | /ˈθɪn/ | mince |
| infrastructure nom | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infrastructure |
| shock nom | /ʃɔk/ | choc |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| come out verbe | /ˌkʌm ˈaʊt/ | sortir |
| go back verbe | rentrer, retourner | |
| keep up with verbe | aller de pair avec |
Prononciation à surveiller
Le locuteur utilise 10 contractions et formes réduites, comme we'll, we've, didn't. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
- Les sons « sh » et « zh »: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
- Mots longs — placez bien l’accent: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: humanity /hjuˈmænɪti/, hardware /ˈhɑɹdˌwɛɹ/, hood /hʊd/, hind /haɪnd/, hallucinate /həˈl(j)uːsɪneɪt/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, jacket /ˈd͡ʒæk.ɪt/, virtual /ˈvɜɹt͡ʃuəl/, legit /lɪˈd͡ʒɪt/, texture /ˈtɛkst͡ʃə(ɹ)/
- /r/ anglais — langue recourbée, sans frotter la gorge: robot /ˈɹoʊ.bɑt/, realistic /ˌɹɪəˈlɪs.tɪk/, browser /ˈbɹaʊ.zəɹ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, transition /tɹænˈzɪʃ.ən/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme robot, benchmark, bone.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.