शैडोइंग अभ्यास: They JUST Accidentally Revealed the Truth: The AI Bubble - वीडियो के साथ अंग्रेजी बोलना सीखें
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a seven -fold surge in profit.
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The results boosted hopes that profits can be sustained as AI developers build data centers, which drives demand for Mary Mary.
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Joining us, Bloomberg Tech.
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The SK Hynix earnings were crazy.
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Let's go through a breakdown of not just the raw numbers.
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Let's go past that.
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Let's go into what they're saying about the entire AI build out of the earnings call
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and do a quick summary of all of it.
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I'm really excited about this because I think this is absolutely wild.
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So the first thing that you've got to know is they do these things called LTAs.
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They're long -term agreements.
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And the whole reason they do this is because back in 2023 and many times in many cycles before that, I think 2014 was another one.
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The dot -com bubble was another one.
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They're these cycles where memory basically goes through a shortage, prices of memory go sky high,
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and then all the memory manufacturers are like, you know, what we should do.
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We should build more.
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And then all of a sudden the underlying desire to, you know, buy more memory chips fades or slows or the growth rate slows.
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Now all of a sudden you have a glut and you have overproduction, overcapacity, prices fall off a cliff.
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That's what everybody's worried about with memory stocks.
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And honestly, I've been a little bit of a poopy doopy bear since this summer on memory.
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I'm like, this is a meme movement at this point.
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I mean, it's kind of going up like GameStop at 400 bucks and you know it's like
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Leo Fold came in
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and turned off the buy button you know what I'm saying like the momentum just evaporated
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and so we were not very excited about these plays going even into the Leo Fold
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because we saw this as sort of a short -term trade
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and you better have a trailing stop many times called out have a trailing stop
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now what do we hear now because what we're hearing now is actually really optimistic for these memory plays.
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What we're hearing is they're doing more of these five -year contracts with their customers.
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And right now, over 50 % of all of SK Hynix's capacity,
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the production that they can generate for 2027 and 2028 is going to long -term agreements.
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Now that's actually really impressive.
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That's great because it gives them some stability.
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But what happens when those long -term agreements expire?
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Well, then you could be left holding the bag, right?
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But that's actually where things are getting fascinating here.
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Look at this.
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Customers are requesting longer -term collaborations based on our product roadmap and supply capabilities,
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indicating that long -term agreements are evolving to strengthen customer relationships and business continuity.
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Today, we have long -term agreements with 14 customers, including pretty much all of the major cloud service providers,
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and we're proactively in discussions about extending those contract periods.
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Now, why would they want to extend contract periods?
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Doesn't that create more risk for a company like Google or Microsoft or Amazon or Anthropic or whatever, or NVIDIA or AMD?
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Sure.
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But take a look at what they're also doing.
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They are building now custom memory chips.
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So we already know that Marvell and Broadcom work with companies like Anthropic and OpenAI to make custom application -specific integrated circuits.
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Those are called ASICs.
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Remember when those were all the rage for mining Bitcoin?
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They do one thing really well.
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That stands in contrast with an NVIDIA GPU, which is like a workhorse.
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What do you want me to do today, boy?
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I got you.
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You want me to do that?
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I got you.
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Okay, the ASIC's like, man, I push this button all day long, bro.
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I just push the button.
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And so if needs change, those ASICs can lose value very rapidly.
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It's one of the reasons people pay a premium for an NVIDIA GPU or some of the AMD products.
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Custom high bandwidth memory is very interesting because this is now suggesting,
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hey, how about these memory companies come in and actually customize what individual customers want for their product.
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Now, what we're seeing a lot of is spec changes at companies like NVIDIA, where we're saying, hey, do we really want so much memory
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or should we despec and go with less memory because we don't necessarily need all the memory?
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What you don't want is stranded memory.
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You don't want to oversize a chip with so much memory
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and you can't even operate all of what you're trying to run through a chip because the bandwidth is your bottleneck.
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All right, if you bottleneck one flow, what do you need all the RAM for?
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What do you need all the high bandwidth memory for?
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So that's where SK Hynix is like, look, we'll do even longer term deals if you want.
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We'll even customize the chips for you.
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These things are very smart.
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And the bull case in investing in these companies is A, they've gotten cheap.
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B, is they're returning a lot of money, capital to shareholders.
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We just saw at the beginning here, 45 billion expected to be returned to shareholders soon.
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And they promise to return even more in the future.
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But what's really fascinating is that these companies are trying to kill the boom and bust cycle for memory.
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And that's where reading this is either really good
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if you're a bull or
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if you're interested in what's going on with the overall artificial intelligence space and frankly what's happening with the AI buildup.
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This is a key read.
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So let's go through some of the highlights for you.
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So we expect to increase capital expenditures throughout 2027 significantly compared
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to 2026 to expand the share of leading edge processes and ramp up our first fab in Youngin.
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Okay, generally, when investors see, wait, you guys are going to increase capacity even more?
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You're going to spend more money on CapEx?
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When people see that, they get nervous.
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They get nervous that, oh, you're definitely going to lead to an oversupply.
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So they actually got asked specifically about oversupply.
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And what they said was this.
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They said, thank you for your question.
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It is true that a company is pursuing medium and long -term investments to accommodate strong demand,
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but more investment and more fabs does not necessarily mean more supply.
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With a rising share of high -performance products like high -bandwidth memory,
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which, keep in mind, that takes about two to five times as many wafers as DRAM.
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Okay, just to be clear here, like, RAM is like your overall umbrella, okay, and DRAM is really what everybody wants right now,
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so just consider that as like almost the umbrella product.
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And then you can divide that into like DDR5, which could be like a server product,
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or you could stack DRAM and turn it into high bandwidth memory.
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The point is, the more you're using these advanced chip packages, the fewer chips you're actually putting out.
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But you're putting out potentially better quality or more capable chips.
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And so that's what they're trying to say here is like, hey, just because we might be able to produce more at more facilities,
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we might be creating more complex chips, outputting them with finer technology.
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And therefore, that actually restrains our potential total bid output.
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Now, that's obviously their bullish point of view.
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It's their company trying to pitch their own products and their own stock.
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Obviously, I generally see earnings calls as a sales pitch for their own stock.
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But this is a really good comparison or argument for the bulls.
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It's basically saying, hey, guys, like, just because we're going to manufacture more doesn't mean, you know, we're going to oversupply.
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Obviously, at some point, if the AI trade slows down,
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you know, it's all going to go poopy -doopy and you're probably going to be in a recession.
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But, you know, until that point, so far, the AI boom seems like it is crushing it.
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Now, I want to show you CapEx and what's going on over here because some of these numbers and a chart, really, really interesting.
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We have a price increase.
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Okay.
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Let's take a look at this chart because this is fascinating.
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So this is the cash machine of SK Hynix.
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So basically, their CapEx is going up.
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That's a little purple box here.
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Their CapEx, how much they're spending and investing, going up bigly.
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I mean, you're seeing a massive increase in CapEx from last year.
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However, their free cash flow is also exploding.
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The full bar chart here is their operating cash.
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The green is their free cash flow.
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So even after their CapEx, they still have massive free cash flow.
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And this is where they're saying, hey, we want to give a lot of money back via dividends or whatever to shareholders.
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Now, obviously, that's a sales pitch to get people to buy the stock.
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Duh.
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That's what earnings calls are.
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There's nothing wrong with that.
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It's just always worth taking things with a grain of salt.
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So let's keep going through here.
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So yeah, here they talk about returning 50 % of free cash flow to shareholders, but also ramping CapEx.
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The chart I just showed helps a lot.
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So what's going on with AI demand? because there's been talk about pacing the AI buildout.
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Is this talk about pacing the AI buildout going to, you know, crush the economy?
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Where do we stay?
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Oh, my gosh, we're going to slow down AI investments.
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This is the only thing holding up GDP, which, in fairness, should do a quick check on GDP.
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GDP's been doing really freaking well, okay?
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A lot of that, obviously,
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driven by these expenditures and these investments that we're seeing by some of the richest companies in the world.
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Atlanta Fed real GDP estimated to be at 3 .3 % right now.
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And that's actually come down from as high as 6 % earlier in this quarter.
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Those are the estimates for the third quarter.
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They come in very noisy at the beginning of the quarter,
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and then they kind of settle out a little bit towards the end of the quarter because they collect more data.
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So it's kind of like a real -time response to what they're seeing with data.
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But anyway, regarding the pacing of AI, there are two main reasons why they think artificial intelligence momentum will continue.
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I think this is so fascinating that you could literally open up an earnings call
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and see exactly what the industry insiders are telling you is happening.
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Take a listen to this.
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First, we are seeing customers' AI investments actually leading to greater adoption of AI services, and they are producing business results.
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With major hyperscale customers reporting year -on -year growth of 30 % to 80 % of their cloud revenue,
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so growth of 30 % to 80 % on cloud revenue,
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a substantial portion of which SK Hynex believes is because of the expansion of their AI business and their AI products.
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You know what I like to do sometimes is I'll sort of just see and Google has been so left behind
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Okay, but sometimes I don't know if I can pull it up right now,
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but sometimes I'll just go into Google admin and I like to go see like hey, what are they charging for?
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You know upgrades or like well, you know what what can you add to?
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Users or seats or whatever and
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so what you could do is you could actually kind of go into the back end
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and see how they're trying to
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upsell people licenses right so
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if I go jump in right now yeah AI expanded access here I don't think
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that any of this is pretty proprietary here I'll just make sense
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this is what I like to look at I like to keep an eye on this
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so I look at this for example and I'll see okay
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so we don't have any more Google work workspace enterprise licenses that's fine but then I look at this AI expanded access.
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I could go add to this email address AI expanded access for 24 bucks a month.
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And then what they'll do with this is they'll pitch you,
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oh, hey, you know, now you could use a better version of the chat bot on,
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you know, Google chat or Google Gmail or whatever, or we'll let you have more usage, blah, blah, blah, whatever.
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And they're really trying to integrate AI throughout a bunch of different components of the business.
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Like here's how Google does it, for example.
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They'll come in and say, expanded access will get you more queries per month, build and edit spreadsheets.
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You could do more of them, build more canvases, generate more videos, more avatars, whatever.
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You could get more thinking responses.
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You could get more argon responses.
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Look at this, up to 200 of their argon.
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Now that's Gemini 4.
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So, like, you don't pay for that license, you don't get Argonne.
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It's kind of like their way of saying, hey, you want to pay for Fable?
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Oh, you're gonna have to add it to, you know, your workspace seats.
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And it's so easy to check the box and add it.
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And when an industry does it per seat, that's where companies like Google print freaking money.
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It's because somebody goes in there and goes, you know what, we're gonna enable this for everyone.
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It's like GitHub, you know?
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Yeah, it's like, oh yeah, let's enable that security feature, because everybody's worried about cybersecurity great that's gonna cost
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you 10 bucks more per month per seat you know
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we got thousands of people it gets really expensive really fast
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so anyway like I see that happening that's definitely happening have your loved one child been affected by social media
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More long -term contracts for large -scale enterprise AI solutions as well, while other cloud order backlogs have grown two to five -fold
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year on year cloud order backlogs growing two to five fold
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year on year is incredible cash flow will only improve they say across ai like this is
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so damn bullish ai it is insane it is it i almost want to be bearish
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because of how bullish it is because i'm generally a contrarian i'm the kind of guy
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That's gonna be at a party, okay?
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We'll be at a party with a Diet Coke.
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Hey, you wanna buy real estate?
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And then 20 people will be like, real estate, F that, we hate real estate.
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Fine, I'm gonna buy more real estate.
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And then it's probably gonna be the same thing next time there's a stock market crash.
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Everybody's gonna be like, ew, stocks suck.
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And we'd be like, hey guys, we should buy stocks.
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Ew, leave.
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I don't know, I just always seem to want to do the opposite it.
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And so I feel bad almost that I am aligned
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and in agreement with this bullishness because that is not part of jaded Kevin.
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But this makes sense.
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This is what we're seeing.
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And I believe there has been a massive inflection in the last six months and how good AI is.
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And I think that's the contrarian piece is that most people don't even notice it yet.
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How good it's gotten.
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It's scary.
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AI sales and cashflow will only improve and will ease the current market concerns on the investment burden.
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In fact, we're going to see more multi -site development, smaller or mid -sized data centers to bring power and data centers available more rapidly.
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This is basically saying, look, rather than have like the giant Kevin O 'Leary facility that everybody's going to go protest outside of,
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what if we just did 10 smaller ones and then we'll have fewer protests?
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And if two of them get shut down by city permitting issues, no problem, we got eight of them.
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We actually do the same thing at reinvest with ADUs.
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You know, we'll do six ADU applications in hopes of getting three of them because, you know, California is retarded when it comes to building.
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And so you just, you just go in knowing that, you know, uh, and that's okay.
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You know, you underwrite, you always underwrite as if you are not going to be able to build.
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And as long as your deal makes sense and pencils out, as long as assuming you're not going to get what you want from the city,
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if you get what you want from the city, it's pure bonus.
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I love that.
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But anyway, so a single company adjusting its investment in the past could directly result in overall demand volatility.
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However, today, because AI is rapidly broadening to sovereign AI, on -prem demand, non -tech companies investing in their own AI,
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all of a sudden you no longer have this single company problem.
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So in other words, in the past, and I've changed, I changed this yesterday.
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Remember how I always say there are these two canaries?
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Okay, canary one is the labor market.
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Unchanged, labor market's a big problem.
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But the second canary, I've historically said is anthropic and open AI.
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But yesterday what I did is I actually changed that.
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I said, no, I think that's wrong now.
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I don't think they matter as much as they used to because you have competition from Microsoft, from Gemini, from Amazon, from SpaceX,
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from Grok, you know, whatever.
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And what's actually happening is you are seeing more diverse AI expenditures
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that insulate the entire AI boom from volatility from one of the companies slowing down
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or one of the companies having problems with financing or whatever.
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Like, it's not just
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Oracle, it's everyone, right?
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It's no longer just one company that moves the whole market.
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So I actually agree with that.
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Okay.
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Then they mentioned here that they're sold out through the rest of the decade,
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that DRAM and high bandwidth volume for the next three years through 2029 is effectively sold out,
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that their goal is to improve longer term demand visibility that can lead to stable revenue and earnings growth.
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Yep.
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That's the whole point of these long -term agreements.
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We talked about the overproduction fear.
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We talked about the custom chips.
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They do mention that prices for HBM4 are expected to increase, and that long -term high bandwidth memory demand outlook remains unchanged.
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Demand remains so strong that customers' volume requirements are more than double what we can supply today.
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That's freaking insane.
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Then over here, this is where they talk about next -gen chips.
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This is where things get a little bit geeky.
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So I'm not going to go really crazy on this but basically right now they use a technology called a 6F.
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Okay.
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This has to do with, uh, the, the measurement of the chip technology that they do.
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And the smaller they go, the more they can put memory cells on chips and potentially, uh, the, the more, you know,
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you could charge for it.
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But the problem with that is they say there's a risk to going to 4F right now, because you might have yield issues.
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You could have reliability issues.
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You could have competitiveness issues, like cost competitive initiatives.
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So what we're going to do instead is we're going to focus on what we do really well, which is smart for a business.
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We're going to focus on the 6F structure.
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We're going to maximize our potential income from the 6F structure.
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That's what we're going to focus on.
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And we'll scale when the time is right.
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So we're going to kick the can down the road a little bit on that.
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Keep in mind that this company is both a DRAM play and a NAND play,
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which is very interesting because I personally have this thesis that DRAM is going to explode in supply, which...
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They counter -argue and say, yes, that might be true,
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but we might net have fewer products out because we're adding more DRAM to high bandwidth memory or whatever.
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We're increasing stack sizes potentially or whatever.
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But they're also a NAND play.
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21 % of their income comes from NAND.
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Now, this gets confusing to people.
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So NAND, the way to think about it is NAND is just, this is all storage.
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When you hear NAND, when you hear SSD, when you hear NVMe, just think storage.
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Okay, storage is different from RAM.
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DRAM, high bandwidth memory, you're under the umbrella.
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DDR5, right?
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Those are all under the memory umbrella.
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NAND, SSD, NVMe, one little category.
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It's all basically storage.
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NAND is the actual memory cell technology.
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Then you've got SSD, which is the finished product.
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That's what you buy.
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The NVMe is what plugs in through your PCI port and the communication between those, blah, blah, blah.
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The point is, this company actually does both.
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I am bullish on NAND because I talked about this even before I read this.
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I'm like, dude, I'm finding that these computers where I run agents on, if they don't have a good SSD,
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they get bogged down, they shut down, they basically blow up.
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If you're trying to push them to the limits too much.
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Because I think what's happening with agents today is they're offloading more of this memory to your SSD
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and not really telling you about it.
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It's happening in the back end and it's crushing some of the weaker computers.
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and it's actually making the case for like, oh yeah, I'm just going to go buy Apple Neos and run chatbots on them.
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Not a good idea.
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You need better computers.
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You know, like for example, I got an M4 Max right here, a laptop, and I could run agents on this guy all day long.
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But those other guys are just going to start smoking.
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But what's happening here is they actually talk about how this is going to happen more and more,
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where basically you're going to see NAND demand increase as AI inference demand increases.
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So you could really store
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some of that cash off of memory because you can't keep it in memory
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because you're just going to saturate your memory and then you're going to be memory locked.
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So this, I have to say, this is probably, and I know this was a lot,
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and we're going to do a valuation on them in just a moment.
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This was probably one of the most bullish earnings calls that I've ever read.
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And I've read a lot of freaking earnings calls.
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Okay, I put myself to sleep reading earnings calls sometimes just thinking about reading the early skull
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But but yeah this this was incredible
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so SK Hynix 10 out of 10 for giving us insight into this boom is nowhere near done now
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What I do want to do is grab the SK Hynix evaluation now these are 80 hours
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So I have to be a little careful with how we do these
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But we're gonna pull the valuation here. So
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uh let's see a SK HY okay okay
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so SK Hynix is up and what we're looking at is their forecast earnings per share
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and then their expected growth rate
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so right now earnings per share are expected to come in and let's go ahead and change this all to US dollars.
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Remember, this is a foreign company, so everything's going to be in Korean Hwan.
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So we're looking for EPS adjusted of 270 Dallajas.
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Now, let me just double check.
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The ratio is 10 to 1.
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So you need to divide EPS by 10.
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This is where it gets complicated.
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I need to fact check me on this.
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But you need to divide EPS projections by 10.
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So that means one to get to an ADR.
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163 divided by, sorry, yeah, divided by 27, basically.
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162 .73, that's the stock price right now, divided by 27 .1, we'll call it, six.
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This is trading for a six PE ratio right now.
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This is insane because people think these things are going to roll over and fall off a cliff.
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And honestly, the analysts are pricing that in too there's a big negative year in 2029 that they're forecasting,
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but then they go back to growth in 2030.
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The analyst expectations are just looney tunes right now.
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But anyway, 2027, we expect 35 % growth, 22 % growth minus 18 % growth, and then 28, or sorry, 38 % growth.
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Let me do that math one more time to make sure I got it right.
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3522 minus 18 plus 3895.
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Yep.
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Divided by four.
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We're expecting a 19 % growth on average for EPS.
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Honestly, I think they'll probably do better than that.
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They're trading for a 6 %...
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P .E ratio divided by 19.
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Dude, this is trading for a point three peg.
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This has been so discounted for cyclicality.
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It's insane.
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I want to be clear.
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I don't own any memory or storage place, but I have to say your boy is salivating.
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The only thing that gets me more excited about that is you checking out reinvestone .com
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We did have a great options trade that we closed out on a sold put today,
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which that was up about 40 % So we're really excited about that.
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I'd love to see you there.
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And once you join, you get that lifetime access.
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If you like that video, check this one out.
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I think you're going to love it.
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Why not advertise these things that you told us here?
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I feel like nobody else knows about this.
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We'll try a little advertising and see how it goes.
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Congratulations, man.
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You have done so much.
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People love you.
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People look up to you.
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Kevin Paffrath there, financial analyst and YouTuber.
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Meet Kevin.
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Always great to get your take.
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इस पाठ की शब्दावली और बोलने के सुझाव
यह स्पीकिंग पाठ वीडियो “They JUST Accidentally Revealed the Truth: The AI Bubble” पर आधारित है। इस वीडियो में शैडोइंग के लिए 389 वाक्य और 4527 शब्द हैं। बोला गया हिस्सा 25:59 लंबा है। वक्ता लगभग 174 शब्द प्रति मिनट की स्वाभाविक गति से बोलता है, जो रोज़मर्रा की बातचीत के करीब है। 82% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं; बाकी शब्द अभ्यास से पहले देख लेना अच्छा रहेगा।
इस वीडियो की मुख्य शब्दावली
वीडियो के 15 सीखने लायक शब्द, उच्चारण और अर्थ के साथ:
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| divide क्रिया | /dɪˈvaɪd/ | बांटना |
| cloud संज्ञा | /ˈklaʊ̯d/ | मेघ, बादल |
| fold क्रिया | /ˈfəʊld/ | परत |
| chart संज्ञा | /t͡ʃɑɹt/ | लेखाचित्र, चार्ट |
| custom संज्ञा | /ˈkʌstəm/ | प्रथा, रीति |
| pitch संज्ञा | /pɪt͡ʃ/ | मैदान |
| insane विशेषण | /ɪnˈseɪn/ | पागल, दीवाना |
| umbrella संज्ञा | /ʌmˈbɹɛl.ə/ | छाता, छतरी |
| shareholder संज्ञा | /ˈʃɛəˌhəʊl.də(ɹ)/ | शेयरधारक, अंशधारी |
| lifetime संज्ञा | /ˈlaɪf.taɪm/ | ज़िंदगी, जिंदगी |
| ratio संज्ञा | /ˈɹeɪ.ʃoʊ/ | अनुपात |
| expenditure संज्ञा | /ɛkˈspɛndɪt͡ʃə/ | व्यय, लागत |
| necessarily क्रिया विशेषण | /ˌnɛs.əˈsɛɹ.ə.li/ | अवश्य, अनिवार्यतः |
| protest संज्ञा | /ˈpɹoʊ.tɛst/ | प्रतिवाद, अस्वीकार |
| trail संज्ञा | /tɹeɪl/ | रास्ता |
वीडियो में आने वाली फ़्रेज़ल वर्ब
| शब्द | उच्चारण | अर्थ |
|---|---|---|
| fill out क्रिया | /fɪl ˈaʊt/ | भरना |
| go ahead क्रिया | /ˌɡoʊ əˈhɛd/ | आगे बढ़ना |
| turn off क्रिया | बंद करना |
दोहराने लायक वाक्य
वीडियो के छोटे, पूरे वाक्य जिन्हें आप रोज़ की बातचीत में इस्तेमाल कर सकते हैं:
- What do you want me to do today, boy?
- You want me to do that?
- What you don't want is stranded memory.
- What do you need all the high bandwidth memory for?
- Hey, you wanna buy real estate?
इस वीडियो का व्याकरण
वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:
| संरचना | वीडियो में |
|---|---|
| Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है | I've been · they've gotten · there's been |
| Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है | can be sustained · could be left · are called |
| Relative clauses who / which + उपवाक्य — व्यक्ति या वस्तु के बारे में अतिरिक्त जानकारी | GPU, which is · well, which is · SSD, which is |
ध्यान देने योग्य उच्चारण
वक्ता 125 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे we're, you're, they're। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।
- “th” की ध्वनियाँ: bandwidth /ˈbændwɪdθ/, mathematics /mæθ(.ə)ˈmæt.ɪks/, thesis /ˈθisɪs/, strengthen /ˈstɹɛŋ(k)θən/, anthropic /ænˈθɹɒp.ɪk/
- “sh” और “zh” की ध्वनियाँ: shareholder /ˈʃɛəˌhəʊl.də(ɹ)/, potentially /pəˈtɛnʃ(ə)li/, ratio /ˈɹeɪ.ʃoʊ/, crush /kɹʌʃ/, artificial /ˌɑː.tɪˈfɪʃ.əl/
- लंबे शब्द — बलाघात सही रखें: potentially /pəˈtɛnʃ(ə)li/, expenditure /ɛkˈspɛndɪt͡ʃə/, necessarily /ˌnɛs.əˈsɛɹ.ə.li/, artificial /ˌɑː.tɪˈfɪʃ.əl/, momentum /ˌmə(ʊ)ˈmɛntəm/
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: bandwidth /ˈbændwɪdθ/, divide /dɪˈvaɪd/, invest /ɪnˈvɛst/, valuation /ˌvæ.ljuːˈeɪ.ʃən/, impressive /ɪmˈpɹɛsɪv/
- /z/ — इसे “ज” (/dʒ/) न बनाएँ: enterprise /ˈɛntəˌpɹaɪz/, anxiety /æŋˈzaɪ.əti/, congratulations /kənˌɡɹæt͡ʃəˈleɪʃ(ə)nz/, ease /iz/, quiz /kwɪz/
- शब्द की शुरुआत में s + व्यंजन — पहले “इ” न जोड़ें: stack /stæk/, stable /ˈsteɪ.bəl/, scary /ˈskɛə.ɹi/, stability /stəˈbɪlɪti/, strengthen /ˈstɹɛŋ(k)θən/
इस वीडियो से अभ्यास कैसे करें
- पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
- 0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
- अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर divide, cloud, fold 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।