Pratica di Shadowing: Did Anthropic just save its $1 trillion IPO? - Impara a parlare inglese con i 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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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione si basa sul video “Did Anthropic just save its $1 trillion IPO?”. Le parole che ritornano più spesso: Fable, horse, model, mux. Questo video contiene 74 frasi e 1127 parole da ripetere con lo shadowing. Il parlato dura 5:31. Chi parla va veloce, circa 204 parole al minuto: aspettati suoni legati e ridotti. Solo il 74% delle parole rientra nelle 3.000 più comuni dell’inglese, quindi il lessico è impegnativo.
Vocaboli chiave di questo video
15 parole del video che vale la pena imparare, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| robot sostantivo | /ˈɹoʊ.bɑt/ | robot |
| benchmark sostantivo | /ˈbɛn(t)ʃmɑːk/ | riferimento, termine di paragone |
| bone sostantivo | /boʊn/ | osso |
| math sostantivo | /mæθ/ | mate |
| realistic aggettivo | /ˌɹɪəˈlɪs.tɪk/ | realistico |
| interactive aggettivo | /ˌɪn.tɚˈæk.tɪv/ | interattivo |
| upload verbo | /ˈʌpˌloʊd/ | caricare |
| mesh sostantivo | /mɛʃ/ | maglia, rete |
| folder sostantivo | /ˈfoʊldɚ/ | cartella, fascicolo |
| finger sostantivo | /ˈfɪŋɡɚ/ | dito, dita |
| ignore verbo | /ɪɡˈnɔː/ | ignorare |
| gate sostantivo | /ˈɡeɪ̯t/ | cancello |
| thin aggettivo | /ˈθɪn/ | sottile, fine |
| infrastructure sostantivo | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | infrastruttura |
| shock sostantivo | /ʃɔk/ | trauma, trauma emotivo |
I phrasal verb che sentirai
| Parola | Significato |
|---|---|
| go back verbo | tornare |
| keep up with verbo | tenere dietro a |
Pronuncia a cui fare attenzione
Chi parla usa 10 contrazioni e forme ridotte, come we'll, we've, didn't. Pronunciale nella forma breve, così come le senti.
- I suoni “th”: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
- I suoni “sh” e “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
- Parole lunghe — attenzione all’accento: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: humanity /hjuˈmænɪti/, hardware /ˈhɑɹdˌwɛɹ/, hood /hʊd/, hind /haɪnd/, hallucinate /həˈl(j)uːsɪneɪt/
- Consonante finale — senza aggiungere una vocale dopo: robot /ˈɹoʊ.bɑt/, benchmark /ˈbɛn(t)ʃmɑːk/, math /mæθ/, realistic /ˌɹɪəˈlɪs.tɪk/, interactive /ˌɪn.tɚˈæk.tɪv/
- /æ/ — più aperta della “e”: math /mæθ/, interactive /ˌɪn.tɚˈæk.tɪv/, transition /tɹænˈzɪʃ.ən/, humanity /hjuˈmænɪti/, jacket /ˈd͡ʒæk.ɪt/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
- Registrati e confronta con l’originale, facendo attenzione a parole come robot, benchmark, bone.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.