Shadowing Practice: Did Anthropic just save its $1 trillion IPO? - Learn English Speaking with Video
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1
While Honeypot Wong was busy falling head over leather jacket for a succulent Chinese spy, These Chinese models are excellent.
Honeypot Wong, çekici bir Çinli casusa aşık olmakla meşgulken, bu Çinli modeller mükemmel.
2
Dario was putting the final touches on his prep work for the Anthropic IPO roadshow that started yesterday.
Dario, dün başlayan Anthropic halka arz tanıtım turu için hazırlıklarını son rötuşlarla tamamlıyordu.
3
Unfortunately, it's coming at a pretty rough time for Dr. Doomsday.
Ne yazık ki, bu durum Dr. Doomsday için oldukça zor bir zamana denk geliyor.
4
The U .S midterms turned into a referendum on data centers where voters made it clear they hate them,
ABD ara seçimleri, seçmenlerin veri merkezlerinden nefret ettiklerini açıkça ortaya koyduğu bir referanduma dönüştü.
5
and Wall Street responded by panic selling every AI stock it could find.
Wall Street ise bulabildiği tüm yapay zeka hisselerini panik halinde satarak karşılık verdi.
6
That dragged Anthropik's expected valuation down from $2 trillion in September to a mere $1 trillion today.
Bu durum, Anthropik'in Eylül ayındaki 2 trilyon dolarlık beklenen piyasa değerinin bugün sadece 1 trilyon dolara düşmesine neden oldu.
7
So yesterday, Dollar Store Dario gave investors something else to look at by releasing Fable and Mythos 5 .2,
Dün, Dollar Store Dario, yatırımcılara Fable and Mythos 5.2'yi yayınlayarak bakacakları başka bir şey daha sundu.
8
which you'll never believe are faster and cheaper than the versions that just came out two months ago.
İnanmayacaksınız ama bunlar, sadece iki ay önce piyasaya çıkan versiyonlardan daha hızlı ve daha ucuz.
9
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,
Testler sırasında, boş bir klasörden başlayarak tamamen yeni bir işletim sistemi kurdu, Opus'un bitiremediği bir matematik projesini 30 saatte tamamladı,
10
and it even designed a working Tamagotchi.
Hatta çalışan bir Tamagotchi bile tasarladı.
11
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.
Bugünkü videomuzda, bu yeni modellerin neler yapabileceğine bakacağız ve eminim hepinizin merak ettiği soruyu yanıtlayacağız.
12
Can it create an interactive thoroughbred with an appropriate amount of realness?
Gerçekçilik düzeyi uygun, etkileşimli bir safkan at yaratabilir mi?
13
It is November 10th, 2026, and you're watching the Code Report.
Bugün 10 Kasım 2026 ve Kod Raporunu izliyorsunuz.
14
If you don't follow the Claude Cinematic Universe closely, Fable and Mythos are the same model,
Claude Sinematik Evrenini yakından takip etmiyorsanız, Fable ve Mythos aynı modelin ürünüdür.
15
but Mythos is the unrestricted one reserved for large companies with budgets for cybersecurity insurance,
Ancak Mythos, siber güvenlik sigortası için bütçesi olan büyük şirketler için ayrılmış, kısıtlama içermeyen bir seçenektir.
16
and Fable is the one with guardrails that won't let you research how to cook up smallpox.
Ve Fable, çiçek hastalığını nasıl üreteceğinizi araştırmanıza izin vermeyen güvenlik önlemlerine sahip olan oyundur.
17
Now, we'll get to the fun stuff in a second, but let's get the boring stuff out of the way first.
18
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
20
and only swap to Fable if you really need it.
21
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.
22
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
24
when an unreleased Claude spent 11 days turning Fermat's last theorem into lean code that a computer could verify.
25
This time, a swarm of 1 ,000 Fable agents did it in 30 hours, and the proof was 7 times shorter,
26
while Opus 5 .5 crashed out at 26 % with the same setup.
27
And apparently it's decent at hardware too.
28
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.
30
On the TMBBs, it beats GPT -6 Astra everywhere Anthropic listed an OpenAI score, it loses to Gemini 4
31
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.
33
As you know, there's only one benchmark I trust.
34
A benchmark that's so good, it's become the industry standard by which humanity measures its new god -in -a -box toys, Thoroughbench.
35
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.
37
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
39
that get meshed up and rigged to a skeleton every time the page loads.
40
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.
44
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.
47
The transitions between gates are buttery smooth, from a standstill all the way to a gallop,
48
although it's a little more awkward when coming to a full stop.
49
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,
50
and it plants each hoof with inverse kinematics, so unlike Kimmy, it's not just warping the mesh.
51
Fable 5 .2 didn't hallucinate a giant low -poly phallus like Gemini, but it equipped our horse with those rear leg shock absorbers,
52
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.
56
And this really got me thinking, the models are starting to get so good
57
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.
63
Their highly customizable API is by far the easiest way to add video features to your application.
64
We've used it for years to host our courses, but it does a lot more than just infrastructure.
65
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.
69
And robots keep up with new AI models automatically
70
so you can safely ignore the next video about whichever model just changed everything.
71
Perplexity, Patreon, and many other prestigious companies all trust MUX, and you can try robots on your own video in the dashboard.
72
The free plan includes 100 ,000 robots units and delivery minutes every month,
73
and you get an extra $50 credit at mux .com slash fireship or at the link below.
74
This has been The Code Report, thanks for watching, and I will see you in the next one.
Uygulamayı İndir
Akıcı konuşmak için ihtiyacınız olan her şey
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IPA AlıştırmasıHer sesi ustalaştır
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Bu dersin kelimeleri ve konuşma notları
Bu konuşma dersi “Did Anthropic just save its $1 trillion IPO?” videosuna dayanıyor. En çok tekrarlanan kelimeler: Fable, horse, model, mux. Bu videoda gölgeleme çalışması için 74 cümle ve 1127 kelime var. Konuşma bölümü 5:31 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 204 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin yalnızca %74’i İngilizcede en sık kullanılan 3.000 kelime arasında, bu yüzden kelime dağarcığı zorlayıcı.
Bu videodaki önemli kelimeler
Videodan öğrenmeye değer 15 kelime, telaffuzu ve anlamıyla:
| Kelime | Telaffuz | Anlam |
|---|---|---|
| robot isim | /ˈɹoʊ.bɑt/ | robot |
| benchmark isim | /ˈbɛn(t)ʃmɑːk/ | mihenk taşı |
| bone isim | /boʊn/ | kemik |
| realistic sıfat | /ˌɹɪəˈlɪs.tɪk/ | gerçekçi |
| mesh isim | /mɛʃ/ | gözenek |
| folder isim | /ˈfoʊldɚ/ | klasör |
| finger isim | /ˈfɪŋɡɚ/ | parmak |
| ignore fiil | /ɪɡˈnɔː/ | görmezden gelmek |
| gate isim | /ˈɡeɪ̯t/ | kapı |
| thin sıfat | /ˈθɪn/ | ince |
| infrastructure isim | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | altyapı, enfrastrüktür |
| shock isim | /ʃɔk/ | şok |
| transition isim | /tɹænˈzɪʃ.ən/ | geçiş |
| custom isim | /ˈkʌstəm/ | adet, görenek |
| decent sıfat | /ˈdiː.sənt/ | uygun, onat |
Duyacağınız deyimsel fiiller
| Kelime | Telaffuz | Anlam |
|---|---|---|
| come out fiil | /ˌkʌm ˈaʊt/ | çıkmak |
Dikkat edilecek telaffuzlar
Konuşmacı we'll, we've, didn't gibi kısaltılmış biçimleri 10 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: math /mæθ/, thin /ˈθɪn/, smooth /smuːð/, leather /ˈlɛðɚ/, theorem /ˈθiərəm/
- “sh” ve “zh” sesleri: benchmark /ˈbɛn(t)ʃmɑːk/, mesh /mɛʃ/, shock /ʃɔk/, transition /tɹænˈzɪʃ.ən/, automation /ˌɔ.təˈmeɪ.ʃən/
- Uzun kelimeler — vurguyu doğru yere koyun: interactive /ˌɪn.tɚˈæk.tɪv/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, humanity /hjuˈmænɪti/, developer /dɪˈvɛləpɚ/, referendum /ˌɹɛfəˈɹɛndəm/
Türkçe konuşanların zorlandığı sesler:
- /w/ — dudaklar yuvarlak, /v/ değil: hardware /ˈhɑɹdˌwɛɹ/, awkward /ˈɔk.wɚd/, swap /ˈswɑp/, whichever /wɪt͡ʃˈɛvɚ/, warp /ˈwɔːp/
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: browser /ˈbɹaʊ.zəɹ/, transition /tɹænˈzɪʃ.ən/, smooth /smuːð/, humanity /hjuˈmænɪti/, drag /dɹæɡ/
- /æ/ — “e”den daha açık: math /mæθ/, interactive /ˌɪn.tɚˈæk.tɪv/, transition /tɹænˈzɪʃ.ən/, humanity /hjuˈmænɪti/, jacket /ˈd͡ʒæk.ɪt/
Bu videoyla nasıl çalışılır
- Videonun tamamını konuşmadan bir kez dinleyin ve bilmediğiniz kelimeleri not edin.
- 0,75× hızla başlayın, cümle cümle tekrar edin ve kolaylaşınca normal hıza dönün.
- Kendinizi kaydedin ve orijinaliyle karşılaştırın; robot, benchmark, bone gibi kelimelere özellikle dikkat edin.
Gölgeleme Tekniği Nedir?
Gölgeleme, başlangıçta profesyonel tercüman eğitimi için geliştirilen ve çok dilli Dr. Alexander Arguelles tarafından popüler hale getirilen, bilim destekli bir dil öğrenme tekniğidir. Yöntem basit ama güçlüdür: ana dili İngilizce olan bir sesi dinler ve hemen yüksek sesle tekrar edersiniz — konuşmacıyı 1-2 saniye gecikmeyle takip eden bir gölge gibi. Pasif dinleme veya dilbilgisi alıştırmalarının aksine, gölgeleme beyninizi ve ağız kaslarınızı gerçek konuşma kalıplarını eşzamanlı olarak işlemeye ve yeniden üretmeye zorlar. Araştırmalar, telaffuz doğruluğu, tonlama, ritim, bağlı konuşma, dinleme anlama ve konuşma akıcılığını önemli ölçüde geliştirdiğini göstermektedir — bu da onu IELTS Konuşma hazırlığı ve gerçek dünya İngilizce iletişimi için en etkili yöntemlerden biri yapar.