शैडोइंग अभ्यास: Grok 4 pushes humanity closer to AGI… but there’s a problem - वीडियो के साथ अंग्रेजी बोलना सीखें

अभ्यास मोड चुनें

हर मोड पूरी स्क्रीन का अभ्यास कक्ष खोलता है।

43 वाक्य
यदि वाक्य बहुत छोटे या लंबे हों, तो समायोजित करने के लिए Edit पर क्लिक करें।
1
Yesterday, after achieving a, quote, ludicrous rate of progress, Elon Musk released his AI chatbot and large language model, Grok4, and claims it's the smartest AI in the world,
2
along with the Trust Me Bro benchmarks to back it up.
3
It can achieve perfect SAT scores every time, and outperforms almost every grad student in every discipline.
4
Vibecoders have been dropping all kinds of crazy demos with it, like this 3D first-person shooter built in four hours, and Elon himself claims it's even better than Cursor.
5
All you have to do is copy and paste your entire codebase into it.
6
In addition, Super Grok 4 Heavy can run in parallel to solve complex problems, while your obsolete monkey brain looks in awe at this beautiful futuristic UI.
7
It all sounds amazing, but there's just one problem.
8
Grok is literally MechaHitler, or at least that's what it's been calling itself recently, while offering unprompted praise to the original emo kid Adolf H.
9
Yes, the Austrian painter who died in Argentina in 1962.
10
Despite this controversy though, Grok appears to have pulled ahead in the race to AGI.
11
In today's video, we'll put it to the ultimate test
12
and find out if XAI just cracked the final solution to artificial intelligence.
13
It is July 11th, 2025, and you're watching The Code Report.
14
Elon Musk might have more haters than anyone else in the world right now.
15
Libs hate him for going full MAGA, while MAGA hates him for accusing Trump of being on the Epstein client list, a list that was on the Attorney General's desk, but now magically never existed.
16
It turns out this poor guy was just a math teacher with no clients at all.
17
The haters want to see Elon fail, but Grok 4 is too impressive to ignore.
18
If we're to trust these benchmarks, its reasoning capabilities are far ahead of the other top models.
19
Most notably on the ARC AGI benchmark, it's not only outperforming other models, but also doing it at a lower cost.
20
And XAI is scaling up very aggressively, like they're even shipping a power plant from overseas because they can't get it done fast enough in the United States.
21
The thing is though, every model nowadays is cooked to look as good as possible on benchmarks.
22
And the one true test is to have it solve real problems in your own life.
23
You can use Gronk 4 for just $30 per month, or if you're not already broke from OpenAI Pro, Claude Max, and Gemini Ultra,
24
you can use Super Grok4 Heavy for just $300 per month, a version with higher rate limits and the ability to run multiple agents in parallel.
25
But one problem in my life is building Svelte 5 apps with runes, so let's see if we can make Grok4 build a simple to-do app with this tech.
26
I've tried this prompt with every other AI tool out there, but none have been able to satisfy me.
27
When prompted, Grok did a ton of research.
28
It went to the documentation, it went to Reddit, GitHub, and even watched YouTube videos.
29
And the end result was a full working demo that did use the new runes feature in Svelte 5.
30
However, when I looked a little more closely at the code, I noticed it was using some legacy syntax that required some manual debugging.
31
Overall, Grok's coding capabilities seem to be on par with the other big models, but it's missing a CLI tool like CloudCode.
32
However, if it's as good as they say it is, why can't it just build its own CLI tool?
33
Well, actually it can, and that's exactly what this guy did if we're truly advancing into the singularity, AI can and should be building all of its own tooling at this point.
34
Pretty cool, but if you're still afraid to use it because of Hitler, you'll be happy to know that Elon said it was manipulated into saying this.
35
Maybe that's true, maybe not, but in general, Grok has far fewer guardrails on offensive speech compared to other mainstream models,
36
and this gives the end user the ability to steer it in unique ways that some might find offensive.
37
AI is now writing more of our code than ever, but according to a recent Microsoft study, it still sucks at debugging, which is why you should check out Sentry, the sponsor of today's video.
38
They just launched a new AI debugging agent called Sear, which developers claim is actually good and capable of fixing complex issues in one shot.
39
That's because unlike other AI debugging tools, Sear can access all the context that it gets from your codebase, like error data, logs, and stack traces,
40
allowing it to pinpoint the root cause with over 94% accuracy.
41
Using this context, it automatically debugs the root cause of your issue and opens a pull request with a fix.
42
Try out SEER for free today at sentry.io slash fireship.
43
This has been the Code Report, thanks for watching, and I will see you in the next one.

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

उसी चैनल से

FOR YOU

अनुशंसित वीडियो

इस पाठ की शब्दावली और बोलने के सुझाव

यह B2 स्तर का स्पीकिंग पाठ वीडियो “Grok 4 pushes humanity closer to AGI… but there’s a problem” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: Grok, model, Elon, debugging, benchmark। इस वीडियो में शैडोइंग के लिए 43 वाक्य और 841 शब्द हैं। बोला गया हिस्सा 3:54 लंबा है। वक्ता तेज़ बोलता है, लगभग 216 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 78% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सबसे कठिन शब्द, उच्चारण और अर्थ के साथ:

शब्दउच्चारणअर्थ
benchmark संज्ञा/ˈbɛn(t)ʃmɑːk/मानक, मापदंड
sentry संज्ञा/ˈsɛn.tɹi/प्रहरी
capability संज्ञा/ˌkeɪ.pəˈbɪl.ɪ.ti/क्षमता
ludicrous विशेषण/ˈluː.dɪ.kɹəs/हास्यास्पद
singularity संज्ञा/ˌsɪŋɡjəˈlæɹətɪ/अनोखापन
syntax संज्ञा/ˈsɪn.tæks/वाक्यरचना, वाक्यविन्यास
obsolete विशेषण/ˈɑbsəlit/अप्रचलित
accuse क्रिया/əˈkjuz/आरोप लगाना
pasta संज्ञा/ˈpɑ.stə/पास्ता
painter संज्ञा/ˈpeɪntɚ/चित्रकार
stack संज्ञा/stæk/धुआँरा
monkey संज्ञा/ˈmʌŋki/बंदर m or बन्दर, वानर
nowadays क्रिया विशेषण/ˈnaʊ.ə.deɪz/आज कल
mathematics संज्ञा/mæθ(.ə)ˈmæt.ɪks/गणित, गणित-विधा
trace संज्ञा/tɹeɪs/चिह्न

इस वीडियो का व्याकरण

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

संरचनावीडियो में
Present perfect continuous have/has been + -ing — पहले शुरू हुआ काम जो अब भी जारी हैhave been dropping · it's been calling
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी हैI've tried · has been
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता हैis cooked · was manipulated

ध्यान देने योग्य उच्चारण

वक्ता 11 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे you're, can't, we're। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

  • “sh” और “zh” की ध्वनियाँ: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
  • लंबे शब्द — बलाघात सही रखें: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/

हिंदी भाषियों के लिए मुश्किल ध्वनियाँ:

  • /z/ — इसे “ज” (/dʒ/) न बनाएँ: accuse /əˈkjuz/, nowadays /ˈnaʊ.ə.deɪz/
  • शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: steer /stɪɹ/, sponsor /ˈspɒn.səː/, stack /stæk/
  • /æ/ — “ऐ” से ज़्यादा खुला: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/

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 benchmark, sentry, capability 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 →