Shadowing Practice: Did Anthropic just save its $1 trillion IPO? - Learn English Speaking with Video
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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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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación se basa en el vídeo “Did Anthropic just save its $1 trillion IPO?”. Las palabras que más se repiten: Fable, horse, model, mux. Este vídeo tiene 74 frases y 1127 palabras para practicar shadowing. La parte hablada dura 5:31. El hablante habla rápido, unas 204 palabras por minuto, así que espera sonidos enlazados y reducidos. Solo el 74 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es exigente.
Vocabulario clave de este vídeo
15 palabras del vídeo que vale la pena aprender, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| robot sustantivo | /ˈɹoʊ.bɑt/ | robot |
| benchmark sustantivo | /ˈbɛn(t)ʃmɑːk/ | cota de referencia, estándar de comparación |
| bone sustantivo | /boʊn/ | hueso |
| math sustantivo | /mæθ/ | mate, mates |
| realistic adjetivo | /ˌɹɪəˈlɪs.tɪk/ | realista, realístico |
| interactive adjetivo | /ˌɪn.tɚˈæk.tɪv/ | interactivo |
| upload verbo | /ˈʌpˌloʊd/ | subir, cargar |
| mesh sustantivo | /mɛʃ/ | malla, rejilla |
| folder sustantivo | /ˈfoʊldɚ/ | carpeta, fólder |
| finger sustantivo | /ˈfɪŋɡɚ/ | dedo, alambres |
| ignore verbo | /ɪɡˈnɔː/ | ignorar, desoír |
| gate sustantivo | /ˈɡeɪ̯t/ | puerta, portón |
| infrastructure sustantivo | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infraestructura |
| shock sustantivo | /ʃɔk/ | choque |
| transition sustantivo | /tɹænˈzɪʃ.ən/ | transición |
Phrasal verbs que vas a escuchar
| Palabra | Pronunciación | Significado |
|---|---|---|
| come out verbo | /ˌkʌm ˈaʊt/ | revelarse, salir a la luz |
| keep up with verbo | seguir, ir al paso |
Pronunciación a tener en cuenta
El hablante usa 10 contracciones y formas reducidas, como we'll, we've, didn't. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “th”: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
- Los sonidos de “sh” y “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
- Palabras largas — cuida el acento: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/
Sonidos difíciles para hispanohablantes:
- s + consonante al inicio — sin añadir una “e” delante: smooth /smuːð/, sponsor /ˈspɒn.səː/, swap /ˈswɑp/, skeleton /ˈskɛlətən/, screenshot /ˈskriːn.ʃɑt/
- /v/ — no es /b/: los dientes tocan el labio inferior: interactive /ˌɪn.tɚˈæk.tɪv/, virtual /ˈvɜɹt͡ʃuəl/, developer /dɪˈvɛləpɚ/, voter /ˈvoʊtɚ/, investor /ɪnˈvɛs.tə(ɹ)/
- /z/ — sonora, no /s/: browser /ˈbɹaʊ.zəɹ/, transition /tɹænˈzɪʃ.ən/, glaze /ɡleɪz/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
- Grábate y compara con el original, prestando atención a palabras como robot, benchmark, bone.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.