Shadowing Practice: Did Anthropic Kill Git? - Learn English Speaking with Video
Bir pratik modu seçin
Her mod tam ekran bir pratik odası açar.
65 cümleler
Cümleler çok kısa veya çok uzun ise, ayarlamak için Düzenle'ye tıklayın.
1
Did Anthropic kill Git?
2
This week, a lot of people on X decided it did.
3
One post with over 600 ,000 views says Anthropic has replaced Git internally and the titans are falling.
4
Another says this is much bigger than it looks.
5
It all traces back to one post from Anthropic's own account, seen more than 6 .5 million times.
6
Part of the story is true.
7
Anthropic did stop using Git, but only for its own code, inside its own company.
8
Git itself is fine.
9
Anthropic keeps almost all of its code in one giant repository, a monorepo.
10
In May, about 2 ,500 changes were merged into it every day.
11
By September, it was over 30 ,000 a day.
12
On September 9th alone, 30 ,401 changes went in.
13
Their chart even has a dip in late July labeled the quiet week, and right after it, the line goes almost straight up.
14
Claude writes a lot of that code, and Anthropic says every bottleneck they remove leads to even more of it.
15
At that rate, the repository got heavy.
16
The history of the main branch alone is almost 100 gigabytes.
17
Their CI system checks out the code about 25 million times a day before you count developers, agent sandboxes, and research jobs.
18
Anthropic did the maths.
19
If every one of those checkouts fetched the repo the normal way, that would be over 600 petabytes of Git traffic every day.
20
Git was designed for a different kind of user.
21
Every clone is a full copy of the repository with all of its history, and it can do almost everything offline.
22
That's great for a person on a laptop on a plane.
23
At Anthropic, almost every client is an agent or a CI job, and those are always online.
24
They tried the usual fixes first, like shallow clones and sparse checkouts.
25
At the peak, they were running several hundred internal Git mirrors just to keep up.
26
So they built their own.
27
It's called Scion, and it moves the work from your machine to the server.
28
Commits, merges, rebases, blame, and history all happen on the server so there's nothing to push.
29
The client keeps a small cache and only downloads the files it actually reads.
30
A CI job that needs a diff can ask the server for it and never check out the code at all.
31
Between the client and the server sit two layers of caches, one on every machine and one in every region.
32
And each layer answers over 99 % of requests by itself.
33
Anthropic says it borrowed ideas from Google's Piper and Meta's Sapling, which were built for huge human teams.
34
On a developer machine, Git status took almost four seconds, and Scion does it in 19 milliseconds.
35
For agents, setting up a fresh work tree went from seven minutes to five seconds.
36
The whole system uses about 200 times less CPU and memory than the old mirrors, and CI got a quarter of its CPU back.
37
These are Anthropic's own measurements, and nobody outside the company has checked them yet seven people built it.
38
In five months, they made Scion, a code review tool called Antique, and a few other systems,
39
and they moved the whole monorepo over while the merge rate went up 10 times.
40
Claude wrote a lot of that code too.
41
The team had handwritten a pipeline to import the old Git history,
42
and an early version of Claude Mythos rewrote it to use 20 times less memory and run four times faster.
43
Every engineer on the project now rates Claude as better at writing code than they are.
44
They also say a big part of their job became telling Claude no
45
when it took shortcuts or piled on checks nobody needed.
46
On Hacker News, the thread passed 800 points and 900 comments in a day.
47
The most replied comment says that every time the writer stops reviewing Claude's code, they later find janky crap.
48
Others said a central server you always have to reach sounds a lot like subversion or perforce.
49
The older systems get replaced.
50
One person asked why Anthropic didn't just split up the monorepo.
51
On X, Dex Horthy pointed at the trade -off most people will feel.
52
Today, if GitHub is down, you can still commit on your laptop.
53
With Scion, if the server is down, you can't.
54
So did Anthropic kill Git?
55
No. In their own words, Scion is by no means a suitable replacement for Git for general use.
56
They say it only makes sense for truly enormous repos, with tens of thousands of engineers or swarms of agents.
57
It isn't open source and they don't plan to release it.
58
Your repos on GitHub don't change, and Claude code still works with plain Git.
59
A small team has already posted an unofficial open source version, but Anthropic has nothing to do with it.
60
What Anthropic wants is for Git to pick up some of these ideas,
61
like servers that do more of the work and answer questions about history through an API.
62
They say they want to build that with GitHub, GitLab, and the open source community,
63
and they expect other companies using AI coding tools to hit the same wall within a year.
64
If that happens, the changes will most likely land on the server side,
65
and the Git on your laptop will keep working the way it does today.
Uygulamayı İndir
Akıcı konuşmak için ihtiyacınız olan her şey
AI TelaffuzHer cümleyi puanla
IPA AlıştırmasıHer sesi ustalaştır
Kelime BilgisiKelime bankanızı oluşturun
Kelime OyunuOynarken öğrenin
FOR YOU
Video Öner
C11
78 cümleler
The easy way to keep your repos tidy.
Daily ConversationUniversity StudentsWorking Adults
C13
63 cümleler
A $6.3 billion open-weight model just got embarrassed by the French...
Daily ConversationUniversity StudentsWorking Adults
C11
202 cümleler
Is React Native Dead? Shopify Is Leaving
Daily ConversationUniversity StudentsWorking Adults
C13
234 cümleler
The Philosophy of Rick Sanchez
Daily ConversationUniversity StudentsWorking Adults
C13
182 cümleler
How Did Ancient Humans Survive the Deadliest Predators on Earth?
Daily ConversationUniversity StudentsWorking Adults
C11
207 cümleler
Go’s Big Mistake
Daily ConversationUniversity StudentsWorking Adults
C11
215 cümleler
Creator of C# and TypeScript: "AI will NEVER Replace Coders, Here's Why" | Anders Hejlsberg
Daily ConversationUniversity StudentsWorking Adults
C16
51 cümleler
Linux got wrecked by backdoor attack
American AccentDaily ConversationUniversity StudentsWorking Adults
C11
68 cümleler
GitHub Copilot now controls your command line...
Daily ConversationUniversity StudentsWorking Adults
C132 cümleler
Linus Torvalds Explains What Makes Linux So Fast
Daily ConversationUniversity StudentsWorking Adults
C13
173 cümleler
STOP Running Code On Your Computer
Daily ConversationUniversity StudentsWorking Adults
C12
182 cümleler
We Let $200 GPT-Pro Think for 7 Days on Unsolved Math
Daily ConversationUniversity StudentsWorking Adults
Bu dersin kelimeleri ve konuşma notları
Bu konuşma dersi “Did Anthropic Kill Git?” videosuna dayanıyor. En çok tekrarlanan kelimeler: Git, Anthropic, code, server, Claude. Bu videoda gölgeleme çalışması için 65 cümle ve 881 kelime var. Konuşma bölümü 4:49 sürüyor. Konuşmacı hızlı konuşuyor, dakikada yaklaşık 183 kelime; bu yüzden birbirine bağlanan ve zayıflayan sesler duyacaksınız. Kelimelerin yalnızca %79’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 |
|---|---|---|
| server isim | /ˈsɝvɚ/ | sunucu, server |
| laptop isim | /ˈlæp.tɑp/ | dizüstü, dizüstü bilgisayar |
| merge fiil | /mɝd͡ʒ/ | birleştirmek, birleşmek |
| mirror isim | /ˈmiɹɚ/ | ayna, gözgü |
| layer isim | /ˈleɪ̯ɚ/ | katman, tabaka |
| developer isim | /dɪˈvɛləpɚ/ | geliştirici |
| clone isim | /kloʊn/ | klon |
| checkout isim | /ˈt͡ʃɛkˌaʊt/ | kasa |
| cache isim | /kæʃ/ | önbellek |
| thread isim | /ˈθɹɛd/ | iplik |
| label isim | /ˈleɪ.bəl/ | etiket |
| plain isim | /pleɪn/ | düzlük, ova |
| suitable sıfat | [ˈsjuː.tə.bɫ̩] | uygun, yerinde |
| enormous sıfat | /ɪˈnɔː.məs/ | kocaman |
| trace isim | /tɹeɪs/ | bulmak, iz sürmek |
Duyacağınız deyimsel fiiller
| Kelime | Anlam |
|---|---|
| check out fiil | gözden geçirmek |
| keep up fiil | ayak uydurmak, yetişmek |
| split up fiil | ayrılmak, dağılmak |
Bu videodaki dil bilgisi
Konuşmacının en çok kullandığı yapılar, videodaki sözcüklerin aynısıyla:
| Yapı | Videoda |
|---|---|
| Present perfect have/has + fiilin üçüncü hâli — geçmişte olan ama şimdi de önemli olan bir eylem | has replaced · has checked · has already posted |
| Edilgen yapı be + fiilin üçüncü hâli — kimin yaptığı değil, ne olduğu önemli | were merged · was designed · were built |
Dikkat edilecek telaffuzlar
Konuşmacı don't, can't, didn't gibi kısaltılmış biçimleri 5 kez kullanıyor. Bunları duyduğunuz gibi kısa söyleyin.
- “th” sesleri: thread /ˈθɹɛd/, mathematics /mæθ(.ə)ˈmæt.ɪks/
- “sh” ve “zh” sesleri: cache /kæʃ/, measurement /ˈmɛʒ.ə.mənt/, shallow /ˈʃæloʊ/, unofficial /ʌn.əˈfɪʃ.əl/, shortcut /ˈʃɔːtkʌt/
- Uzun kelimeler — vurguyu doğru yere koyun: developer /dɪˈvɛləpɚ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, internally /ɪnˈtɜːnəli/, unofficial /ʌn.əˈfɪʃ.əl/, repository /ɹɪˈpɒz.ɪ.t(ə.)ɹɪ/
Türkçe konuşanların zorlandığı sesler:
- Kelime başındaki ünsüz kümesi — araya ünlü eklemeyin: clone /kloʊn/, thread /ˈθɹɛd/, plain /pleɪn/, suitable [ˈsjuː.tə.bɫ̩], trace /tɹeɪs/
- /æ/ — “e”den daha açık: laptop /ˈlæp.tɑp/, cache /kæʃ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, shallow /ˈʃæloʊ/, janky /ˈd͡ʒæŋ.kiː/
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; server, laptop, merge 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.