शैडोइंग अभ्यास: Everyone Is Wrong About AI Coding - YouTube के साथ अंग्रेजी बोलना सीखें

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It doesn't matter where you look,
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It doesn't matter where you look,
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everyone is talking about how quick and good AI is,
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especially when it comes to writing code.
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And even if we assume all of these statements that they're saying are 100% true,
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which in reality, most of them are over-exaggerated,
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I'm still not worried about AI taking over programming jobs.
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Let's just take the base level claim that AI can write code 10 times quicker than I can as a developer.
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And let's assume that this AI code is 100% perfect code of the exact same quality that I would write.
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Maybe even it's better quality than the code that I myself would write.
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So we're getting 10 times the output by using AI as opposed to handwriting code,
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and the quality stays exactly the same.
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I personally don't believe that you get this with AI,
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but even assuming all of these statistics,
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I still don't think AI is going to replace programmers.
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The reason being, imagine
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that you are a CEO at a company that's publicly traded
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your number one goal is to create as much profit as possible for your shareholders that have your stock.
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That's just what a publicly owned company,
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especially in the U.S., is supposed to do.
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So your goal is to maximize profit.
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And now imagine that I come to you and I say,
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I can make every single one of your developers 10 times more productive.
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You can crank out features and products like you've never been able to do before.
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All you need to do is just start using AI.
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What are you going to do?
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Are you going to say, oh, this is great.
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I'm now going to fire 90% of my workforce so that I can be exactly the same as I was before.
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Or are you going to say,
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wow, this is a huge competitive advantage.
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I can now use this AI in my same exact workforce that I have,
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and I can create 10 times as much content or features or updates that all my other competitors can do,
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which will skyrocket my stock price
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and all of the different things related to my company are going to be good
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because I'm 10 times more productive than everyone else.
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Clearly, it makes sense to choose that second option.
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And if you were a company that decided instead of choosing that second option and being 10 times more productive,
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you're going to fire 90% of your workforce and stay exactly as productive as you are,
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all of your other competitors are going to be taking advantage of
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that 10 times increase and they're going to surpass you and your company will essentially fade out and die.
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So if that's the case,
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why aren't we actually seeing these 10x improvements?
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You may know that the job market,
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especially for programming, is just not great right now.
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The entire job market is not great,
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but programming as well is just not a great job market right now.
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And the reason for that actually has nothing to do with AI replacing programmers
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and instead the fact that the market is just not in a good place right now.
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The entire economy is down,
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jobs across the board are down,
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spending is down, and overall,
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companies are hesitant to hire when they're in these type of situations where the entire economy is down.
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This is especially compounded by the fact that companies,
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especially tech-related companies, massively overhired in like 2020,
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2021, 2022, even into 2023,
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because there was a massive boom during COVID.
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Everyone was at home tech companies skyrocket in valuation, and they massively overhired.
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They kept on that workforce for a while,
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but as the economy started to go down,
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they realized, why are we keeping all these additional people on?
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We overhired.
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We have more developers than we can actually handle.
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So they fired off those developers,
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and that's why the economy has not been great for job markets in the exact programming niche.
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Now, most companies are going to say,
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oh, the reason we're firing all these developers is so
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that we're going to be implementing AI and it's replacing all of our developers.
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But in reality, what's happening is they have a hard market,
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they're losing profit, and they're saying,
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well, the best thing to do when we're losing money like this is to fire some developers because we have too many.
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And instead of going to our shareholders and saying,
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hey, our company is losing tons of money, so we're firing people.
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Instead, they say, hey, we're like super cool and we're using AI in all of our products,
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so now we can fire people because AI is making our business better.
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Even if that's not true,
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it just sounds a lot better.
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So that's what they tell the shareholders to keep their stock price high,
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as opposed to saying, hey,
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our company's actually losing money,
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which is why we're firing people.
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There have been countless times throughout the history of even just programming where new technology
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or tools have come along that have drastically increased the performance of developers
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and made them better and quicker at writing high quality code.
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And I will admit that AI is a massive multiplier compared to some of these other things,
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but I don't think the result is going to be any different.
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Yes, AI
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when used by a competent developer is going to be able to create more code than someone that's not using AI.
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And if it's done right,
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it can create just as high quality code,
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but at a much faster pace.
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But that doesn't mean that we're just going to sit back and say,
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well, now we can, you know,
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spend less time writing code.
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Instead, we're going to create more code than ever before
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and create more features and more products because that's just how the world works.
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When you have more resources that you can put towards something,
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you're going to put those more resources towards that thing to continually expand
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because there are infinite numbers of ideas out there
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and there's only a finite amount of resources so
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if we can multiply those resources that just means
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that we can serve more of those infinite number of ideas
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that people have now you may be thinking well what
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if the ai gets good enough to completely replace programmers
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and for that i just want to direct you to this video right here where i talk all about that problem

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लोकप्रिय

इस वीडियो के साथ बोलने का अभ्यास क्यों करें?

इस वीडियो में, वक्ता कृत्रिम बुद्धिमत्ता (AI) के विकास और इसके प्रोग्रामिंग रोजगार पर प्रभाव के बारे में अपनी राय साझा करते हैं। इस प्रकार की वार्तालाप से सीखने के कई लाभ हैं। सबसे पहले, इस वीडियो को सुनकर आप अंग्रेजी बोलने का अभ्यास कर सकते हैं, जिससे आपकी सोचने और बोलने की गति में सुधार होगा। साथ ही, आप वार्तालाप के दौरान उपयोग होने वाले विभिन्न व्याकरणिक ढांचे और शब्दों को समझ सकते हैं। जब आप इस वीडियो को दोहरा कर बोलते हैं, तो आप अंग्रेजी शैडोइंग तकनीक का उपयोग कर सकते हैं, जिससे आपकी उच्चारण और आत्मविश्वास दोनों में सुधार होगा।

संदर्भ में व्याकरण और अभिव्यक्तियाँ

  • "Imagine that you are a CEO..." - यह वाक्य संरचना दर्शाता है कि कैसे हम किसी परिदृश्य की कल्पना कर सकते हैं, जो संवाद को अधिक रोचक बनाता है।
  • "I can make every single one of your developers 10 times more productive." - यहाँ उद्घोषितता और दृढ़ता का उपयोग किया गया है, जो आपको अपनी बात को प्रभावी रूप से प्रस्तुत करने में मदद करता है।
  • "All you need to do is just start using AI." - यहाँ एक प्रेरणादायक अभिव्यक्ति है जो सुनने वालों को क्रियान्वयन करने के लिए प्रेरित करती है, यह वाक्यांश इंगित करता है कि कोई भी कार्य प्रारंभ करने के लिए सरल कदम उठाए जा सकते हैं।

इन संरचनाओं को जानने से आपको अंग्रेजी में बेहतर संवाद स्थापित करने में मदद मिलेगी।

सामान्य उच्चारण जाल

इस वीडियो में कुछ शब्द और वाक्यांश हैं जो उच्चारण के लिए चुनौतीपूर्ण हो सकते हैं। उदाहरण के लिए, "productive," "advantage," और "Economy" जैसे शब्द विशेष ध्यान देने की आवश्यकता रखते हैं। यदि आप इन शब्दों को सही ढंग से उच्चारित करने का अभ्यास करते हैं, तो आप अपनी अंग्रेजी उच्चारण में सुधार कर सकते हैं। खासकर जब आप इसे यूट्यूब से अंग्रेजी सीखें प्रक्रिया में शामिल करते हैं, तो आपको सही उच्चारण पर ध्यान केंद्रित करना चाहिए।

इस प्रकार का अभ्यास न केवल आपकी बोलने की क्षमता को बेहतर बनाता है, बल्कि यह आपके आत्म विश्वास को भी बढ़ाता है। इसलिए, इस वीडियो को देखना और सुनकर दोहराना न भूलें!

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।

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