शैडोइंग अभ्यास: Did Anthropic Kill Git? - वीडियो के साथ अंग्रेजी बोलना सीखें

अभ्यास मोड चुनें

हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

65 वाक्य
यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।
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.

ऐप डाउनलोड करें

धाराप्रवाह बोलने के लिए ज़रूरी सब कुछ

AI उच्चारण स्कोरहर वाक्य का स्कोर
IPA अभ्यासहर ध्वनि में महारत
शब्दावलीअपना शब्द भंडार बनाएँ
शब्द गेमखेलते हुए सीखें
QR स्कैन करें
QR स्कैन करें
Download on theApp StoreGet it onGoogle Play
✨ अनुशंसित वीडियो
The easy way to keep your repos tidy.C1
1
78 वाक्य

The easy way to keep your repos tidy.

Daily ConversationUniversity StudentsWorking Adults
A $6.3 billion open-weight model just got embarrassed by the French...C1
3
63 वाक्य

A $6.3 billion open-weight model just got embarrassed by the French...

Daily ConversationUniversity StudentsWorking Adults
Is React Native Dead? Shopify Is LeavingC1
1
202 वाक्य

Is React Native Dead? Shopify Is Leaving

Daily ConversationUniversity StudentsWorking Adults
The Philosophy of Rick SanchezC1
3
234 वाक्य

The Philosophy of Rick Sanchez

Daily ConversationUniversity StudentsWorking Adults
How Did Ancient Humans Survive the Deadliest Predators on Earth?C1
3
182 वाक्य

How Did Ancient Humans Survive the Deadliest Predators on Earth?

Daily ConversationUniversity StudentsWorking Adults
Go’s Big MistakeC1
1
207 वाक्य

Go’s Big Mistake

Daily ConversationUniversity StudentsWorking Adults
Creator of C# and TypeScript: "AI will NEVER Replace Coders, Here's Why" | Anders HejlsbergC1
1
215 वाक्य

Creator of C# and TypeScript: "AI will NEVER Replace Coders, Here's Why" | Anders Hejlsberg

Daily ConversationUniversity StudentsWorking Adults
Linux got wrecked by backdoor attackC1
6
51 वाक्य

Linux got wrecked by backdoor attack

American AccentDaily ConversationUniversity StudentsWorking Adults
GitHub Copilot now controls your command line...C1
1
68 वाक्य

GitHub Copilot now controls your command line...

Daily ConversationUniversity StudentsWorking Adults
Linus Torvalds Explains What Makes Linux So FastC1
32 वाक्य

Linus Torvalds Explains What Makes Linux So Fast

Daily ConversationUniversity StudentsWorking Adults
STOP Running Code On Your ComputerC1
3
173 वाक्य

STOP Running Code On Your Computer

Daily ConversationUniversity StudentsWorking Adults
We Let $200 GPT-Pro Think for 7 Days on Unsolved MathC1
2
182 वाक्य

We Let $200 GPT-Pro Think for 7 Days on Unsolved Math

Daily ConversationUniversity StudentsWorking Adults

इस पाठ की शब्दावली और बोलने के सुझाव

यह स्पीकिंग पाठ वीडियो “Did Anthropic Kill Git?” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: Git, Anthropic, code, server, Claude। इस वीडियो में शैडोइंग के लिए 65 वाक्य और 881 शब्द हैं। बोला गया हिस्सा 4:49 लंबा है। वक्ता तेज़ बोलता है, लगभग 183 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 79% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:

शब्दउच्चारणअर्थ
server संज्ञा/ˈsɝvɚ/सर्वर
laptop संज्ञा/ˈlæp.tɑp/लैपटॉप
mirror संज्ञा/ˈmiɹɚ/दर्पण, शीशा
layer संज्ञा/ˈleɪ̯ɚ/परत, तह
developer संज्ञा/dɪˈvɛləpɚ/विकासक
chart संज्ञा/t͡ʃɑɹt/लेखाचित्र, चार्ट
thread संज्ञा/ˈθɹɛd/धागा, सूत
label संज्ञा/ˈleɪ.bəl/लेबल
plain संज्ञा/pleɪn/मैदान
suitable विशेषण[ˈsjuː.tə.bɫ̩]उपयुक्त, उचित
trace संज्ञा/tɹeɪs/चिह्न
mathematics संज्ञा/mæθ(.ə)ˈmæt.ɪks/गणित, गणित-विधा
import संज्ञा/ˈɪm.pɔɹt/आयात
measurement संज्ञा/ˈmɛʒ.ə.mənt/माप, नाप
pipeline संज्ञा/ˈpaɪpˌlaɪn/पाइपलाइन

वीडियो में आने वाली फ़्रेज़ल वर्ब

शब्दअर्थ
pick up क्रियाउठाना

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचनावीडियो में
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी हैhas replaced · has checked · has already posted
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता हैwere merged · was designed · were built

ध्यान देने योग्य उच्चारण

वक्ता 5 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे don't, can't, didn't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

  • “th” की ध्वनियाँ: thread /ˈθɹɛd/, mathematics /mæθ(.ə)ˈmæt.ɪks/
  • “sh” और “zh” की ध्वनियाँ: cache /kæʃ/, measurement /ˈmɛʒ.ə.mənt/, shallow /ˈʃæloʊ/, unofficial /ʌn.əˈfɪʃ.əl/, shortcut /ˈʃɔːtkʌt/
  • लंबे शब्द — बलाघात सही रखें: developer /dɪˈvɛləpɚ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, internally /ɪnˈtɜːnəli/, unofficial /ʌn.əˈfɪʃ.əl/, repository /ɹɪˈpɒz.ɪ.t(ə.)ɹɪ/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

  • /v/ और /w/ का फ़र्क़ — /v/ में ऊपर के दाँत निचले होंठ को छूते हैं, /w/ में होंठ गोल होते हैं: server /ˈsɝvɚ/, developer /dɪˈvɛləpɚ/, subversion /sʌ̈bˈvɝ.ʒən/, swarm /swɔɹm/
  • शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: sparse /spɑːɹs/, swarm /swɔɹm/
  • /æ/ — “ऐ” से ज़्यादा खुला: laptop /ˈlæp.tɑp/, cache /kæʃ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, shallow /ˈʃæloʊ/, janky /ˈd͡ʒæŋ.kiː/

इस वीडियो से अभ्यास कैसे करें

  1. पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
  2. 0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
  3. अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर server, laptop, mirror जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →