Prática de Shadowing: Did Anthropic just save its $1 trillion IPO? - Aprenda a falar inglês com vídeo
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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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Vocabulário e dicas de fala para esta lição
Esta aula de conversação usa o vídeo “Did Anthropic just save its $1 trillion IPO?”. As palavras que mais se repetem: Fable, horse, model, mux. Este vídeo tem 74 frases e 1127 palavras para praticar shadowing. A fala dura 5:31. O falante fala rápido, cerca de 204 palavras por minuto, então espere sons ligados e reduzidos. Apenas 74% das palavras estão entre as 3.000 mais comuns do inglês, por isso o vocabulário é exigente.
Vocabulário principal deste vídeo
15 palavras do vídeo que vale a pena aprender, com pronúncia e significado:
| Palavra | Pronúncia | Significado |
|---|---|---|
| robot substantivo | /ˈɹoʊ.bɑt/ | robot, robô |
| benchmark substantivo | /ˈbɛn(t)ʃmɑːk/ | padrão |
| bone substantivo | /boʊn/ | osso |
| realistic adjetivo | /ˌɹɪəˈlɪs.tɪk/ | realístico |
| interactive adjetivo | /ˌɪn.tɚˈæk.tɪv/ | interativo |
| upload verbo | /ˈʌpˌloʊd/ | carregar, fazer upload |
| mesh substantivo | /mɛʃ/ | malha |
| folder substantivo | /ˈfoʊldɚ/ | pasta |
| finger substantivo | /ˈfɪŋɡɚ/ | dedo (da mão) |
| ignore verbo | /ɪɡˈnɔː/ | ignorar |
| circuit substantivo | /ˈsɝ.kɪt/ | circuito, volta |
| gate substantivo | /ˈɡeɪ̯t/ | portão |
| thin adjetivo | /ˈθɪn/ | fino |
| infrastructure substantivo | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infraestrutura |
| shock substantivo | /ʃɔk/ | choque |
Phrasal verbs que você vai ouvir
| Palavra | Pronúncia | Significado |
|---|---|---|
| come out verbo | /ˌkʌm ˈaʊt/ | sair, partir |
| go back verbo | voltar |
Pronúncia para ficar de olho
O falante usa 10 contrações e formas reduzidas, como we'll, we've, didn't. Diga-as na forma curta, do jeito que você ouve.
- Os sons de “th”: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
- Os sons de “sh” e “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
- Palavras longas — acerte a sílaba tônica: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/
Sons difíceis para falantes de português:
- Consoante final — sem acrescentar um “i” depois: robot /ˈɹoʊ.bɑt/, benchmark /ˈbɛn(t)ʃmɑːk/, realistic /ˌɹɪəˈlɪs.tɪk/, upload /ˈʌpˌloʊd/, circuit /ˈsɝ.kɪt/
- /l/ final — a língua toca o céu da boca, não vira “u”: tail /ˈteɪ̯l/, virtual /ˈvɜɹt͡ʃuəl/, kernel /ˈkɝ.nəl/, thumbnail /ˈθʌm.neɪl/, guardrail /ˈɡɑɹdˌɹeɪl/
- /h/ — um sopro suave, diferente do “r”: humanity /hjuˈmænɪti/, hardware /ˈhɑɹdˌwɛɹ/, hood /hʊd/, hind /haɪnd/, hallucinate /həˈl(j)uːsɪneɪt/
Como praticar com este vídeo
- Ouça o vídeo inteiro uma vez sem falar e anote as palavras que você não conhece.
- Comece na velocidade 0,75×, faça shadowing frase por frase e volte à velocidade normal quando ficar fácil.
- Grave a sua voz e compare com o original, prestando atenção a palavras como robot, benchmark, bone.
O que é a Técnica de Shadowing?
Shadowing é uma técnica de aprendizado de idiomas com base científica, originalmente desenvolvida para o treinamento de intérpretes profissionais. O método é simples, mas poderoso: você ouve áudio em inglês nativo e repete imediatamente em voz alta — como uma sombra seguindo o falante com 1-2 segundos de atraso. Pesquisas mostram melhora significativa na precisão da pronúncia, entonação, ritmo, sons conectados, compreensão auditiva e fluência na fala.